{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "deep-research-report", "status": "proposal_only", "records": [
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A person decides what is delivered.", "not_for": "Choosing what to build or adopt. The prior art and alternatives pack surveys existing options for a build decision; this pack informs understanding.", "flow": [{"verb": "deep-research-report.frame-question"}, {"verb": "deep-research-report.plan-search"}, {"verb": "deep-research-report.collect-sources"}, {"verb": "deep-research-report.screen-sources"}, {"verb": "deep-research-report.extract-claims"}, {"verb": "deep-research-report.synthesize"}, {"verb": "deep-research-report.adversarial-review"}, {"verb": "deep-research-report.write-report"}, {"verb": "deep-research-report.decide-delivery"}], "guardrails": [{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.quote-exactly", "version": 1, "value_sha256": "3d656c94b7fb947921b90954d0c11cf9a7ce4e561b875e7c25cfad8d966afa87"}, {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.search-on-the-record", "version": 1, "value_sha256": "df3c4171dfe4e95dd0fb18dcb2f1478b6c357eb9bb9790c182288dfc8f34cb35"}, {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.seek-counter-evidence", "version": 1, "value_sha256": "09f9636251cdc4d9275033f006455ef8c119596dc924bf11fba166191d9b4a63"}, {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.label-every-sentence", "version": 1, "value_sha256": "7eb1976f772b9720a352cc4b6bdb46cc40e67133b63cbbad41027f00a50c468c"}, {"store": "seedpack.policy-and-law-watch", "key": "policy-and-law-watch.v0.1.0.guardrail.cite-every-claim", "version": 1, "value_sha256": "95ca19568ede3ac0e2fe6708e5090d0ff477a01548e57354dca8f92ce38e76cf"}, {"store": "seedpack.policy-and-law-watch", "key": "policy-and-law-watch.v0.1.0.guardrail.no-scraping-against-terms", "version": 1, "value_sha256": "5fa023602b3c55c0767771f116afef26e70e64412789b6c4643a9a53903e7f83"}, {"store": "seedpack.policy-and-law-watch", "key": "policy-and-law-watch.v0.1.0.guardrail.no-personal-data", "version": 1, "value_sha256": "d8cd242126f397d75866c1f8a7cf76da689061e43e1bd7ba02ceff0ca9b8022c"}, {"store": "seedpack.policy-and-law-watch", "key": "policy-and-law-watch.v0.1.0.guardrail.person-decides", "version": 1, "value_sha256": "d2beb838923d3ba1a628eea0126e6c25541af22cd1d62d3d9cda585237641736"}], "worked_example": "Synthetic: whether community fridges reduce household food waste, from three stand-in sources: five claims with exact quotes, a contradiction kept, a passing adversarial review that proposes one more counter search, and a report with low confidence and its limits.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.guardrail.quote-exactly", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.guardrail.search-on-the-record", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.guardrail.seek-counter-evidence", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.guardrail.label-every-sentence", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.policy-and-law-watch/policy-and-law-watch.v0.1.0.guardrail.cite-every-claim", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.policy-and-law-watch/policy-and-law-watch.v0.1.0.guardrail.no-scraping-against-terms", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.policy-and-law-watch/policy-and-law-watch.v0.1.0.guardrail.no-personal-data", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.policy-and-law-watch/policy-and-law-watch.v0.1.0.guardrail.person-decides", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.rules.permitted-access", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.rules.screening", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.rules.evidence-strength", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.research-question", "target_category": "noun.seed_hypothesis", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.search-plan", "target_category": "noun.seed_hypothesis", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.source-log", "target_category": "noun.public_source", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.screening-log", "target_category": "noun.eval_run", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.claim-extract", "target_category": "noun.seed_hypothesis", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.synthesis", "target_category": "noun.seed_hypothesis", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.adversarial-review", "target_category": "noun.eval_run", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.deep-research-report/deep-research-report.v0.1.0.template.report", "target_category": "noun.seed_hypothesis", "note": ""}]}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.quote-exactly", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:deep-research-report", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Guardrail: quote exactly, with a locator", "category_reason": "A guardrail is a reusable rule every verb in this work follows, with the check that proves it.", "rule": "Every claim carries an exact quote from its source, character for character, with a locator a reader can follow: the page, section or paragraph, and the words just before and after the quote. A quote that does not appear in the source as written is removed and extracted again, never repaired in place.", "how_it_is_checked": "Every quote appears in its source's retrieved text with its prefix and suffix, exactly once.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.search-on-the-record", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:deep-research-report", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Guardrail: the search is on the record", "category_reason": "A guardrail is a reusable rule every verb in this work follows, with the check that proves it.", "rule": "Record every database and site searched, every query with its date and result count, every source found and every screening decision with its reason. List what was not searched, and why.", "how_it_is_checked": "Every planned query appears in the source log with its date and count, the screening flow adds up, and the report names what was not searched.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.seek-counter-evidence", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:deep-research-report", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Guardrail: look for evidence against the answer", "category_reason": "A guardrail is a reusable rule every verb in this work follows, with the check that proves it.", "rule": "Plan searches meant to find evidence against the likely answer, report that evidence next to the evidence for it, and keep contradictions visible instead of averaging them away.", "how_it_is_checked": "The search plan has at least one counter query, and the report lists the evidence against its answer or says plainly that none was found.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.guardrail.label-every-sentence", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:deep-research-report", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Guardrail: label every sentence: source, synthesis or open", "category_reason": "A guardrail is a reusable rule every verb in this work follows, with the check that proves it.", "rule": "Label every sentence of a synthesis or report: source when quoted claims state it directly, synthesis when it infers across claims, and open when it is unknown. Source and synthesis sentences cite their claims.", "how_it_is_checked": "Every report sentence has a label, and every source or synthesis sentence cites at least one claim that exists.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.rules.permitted-access", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:deep-research-report", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Permitted access to research sources", "category_reason": "A zero-call deterministic procedure: the same inputs always give the same result.", "rules": ["Use a source's official API or download when it offers one, and read its terms first.", "arXiv's APIs: no more than one request every three seconds, on a single connection, across every machine the requester runs; link to abstract pages instead of serving e-prints.", "Crossref's REST API: use filters and select only the fields needed instead of one request per DOI, cache results, and back off on HTTP 429.", "Retractions: check every cited DOI against Crossref's retraction data, through the update-type:retraction filter or the Retraction Watch data it publishes, before relying on it.", "Web pages: read robots.txt and the site's terms, and stop when either forbids automated reading.", "Facebook and Instagram content only through Meta's official research tools, such as the Meta Content Library and API, under their access terms, and never by scraping.", "Paywalled full text only through access the requester already holds; never bypass a paywall or share the text.", "No logins and no personal data, unless the requester grants a login explicitly for a source it licenses."], "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.policy-and-law-watch/policy-and-law-watch.v0.1.0.guardrail.no-scraping-against-terms", "target_category": "noun.skill_pack", "note": ""}]}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.rules.screening", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:deep-research-report", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Screening sources, with a flow that adds up", "category_reason": "A zero-call deterministic procedure: the same inputs always give the same result.", "rules": ["Write the inclusion and exclusion criteria into the search plan before screening, and screen against them only.", "Remove duplicates by DOI, then by normalized title and year, and count them.", "Screen in two passes, title and summary, then full text, and give every exclusion one reason from the fixed list.", "Exclude retracted works from the evidence and list them in the report.", "The flow adds up: identified equals duplicates plus screened; screened equals excluded at title plus assessed; assessed equals excluded at full text plus included."], "exclusion_reasons": ["off_topic", "wrong_setting", "wrong_kind_of_source", "outside_dates", "not_accessible", "retracted", "insufficient_detail"], "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
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{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.report", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.seed_hypothesis", "pack:deep-research-report", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.seed_hypothesis", "role": "template", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Template: the cited report, with the evidence against it and its limits", "describes": "a research report: the question, a short answer with its confidence, labeled findings with their claims, the evidence against the answer, the method and flow, the limits, what was not searched, and the sources", "schema": {"type": "object", "additionalProperties": false, "required": ["title", "question", "short_answer", "confidence", "findings", "evidence_against", "method", "limits", "not_searched", "sources"], "properties": {"title": {"type": "string", "minLength": 1, "maxLength": 200}, "question": {"type": "string", "minLength": 10, "maxLength": 400}, "short_answer": {"type": "string", "minLength": 1, "maxLength": 600}, "confidence": {"type": "string", "enum": ["high", "moderate", "low", "very_low"]}, "findings": {"type": "array", "minItems": 1, "maxItems": 60, "items": {"type": "object", "additionalProperties": false, "required": ["text", "label", "claims"], "properties": {"text": {"type": "string", "minLength": 1, "maxLength": 600}, "label": {"type": "string", "enum": ["source", "synthesis", "open"]}, "claims": {"type": "array", "minItems": 0, "maxItems": 20, "items": {"type": "string", "minLength": 1, "maxLength": 20, "pattern": "^[a-z][a-z0-9-]*$"}}}}}, "evidence_against": {"type": "array", "minItems": 1, "maxItems": 20, "items": {"type": "string", "minLength": 1, "maxLength": 400}}, "method": {"type": "object", "additionalProperties": false, "required": ["searched_on", "sources_searched", "flow"], "properties": {"searched_on": {"type": "string", "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$"}, "sources_searched": {"type": "array", "minItems": 1, "maxItems": 30, "items": {"type": "string", "minLength": 1, "maxLength": 160}}, "flow": {"type": "object", "additionalProperties": false, "required": ["identified", "included"], "properties": {"identified": {"type": "integer", "minimum": 0}, "included": {"type": "integer", "minimum": 0}}}}}, "limits": {"type": "array", "minItems": 1, "maxItems": 20, "items": {"type": "string", "minLength": 1, "maxLength": 300}}, "not_searched": {"type": "array", "minItems": 1, "maxItems": 30, "items": {"type": "object", "additionalProperties": false, "required": ["source", "why"], "properties": {"source": {"type": "string", "minLength": 1, "maxLength": 160}, "why": {"type": "string", "minLength": 1, "maxLength": 300}}}}, "sources": {"type": "array", "minItems": 1, "maxItems": 200, "items": {"type": "object", "additionalProperties": false, "required": ["id", "citation", "url"], "properties": {"id": {"type": "string", "minLength": 1, "maxLength": 20, "pattern": "^[a-z][a-z0-9-]*$"}, "citation": {"type": "string", "minLength": 1, "maxLength": 400}, "url": {"type": "string", "minLength": 1, "maxLength": 400, "pattern": "^https://"}}}}}}, "rules": ["Every finding is labeled; source and synthesis findings cite claims.", "evidence_against says None found, with the counter queries, when none was found."], "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.checklist", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:deep-research-report", "role:checklist", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "checklist", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Checklist a person runs before a report is delivered", "category_reason": "A short checklist a person runs is part of the report's guardrails.", "items": ["The question is about understanding something, not about what to build or adopt.", "Every quote matches its source, and a different worker checked them.", "The evidence against the answer sits next to the evidence for it.", "Every sentence is labeled, and synthesis sentences do not pose as facts.", "The limits and what was not searched are plain enough for a reader to weigh.", "No personal data, and every source was read as its terms permit."], "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.sources", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.public_source", "pack:deep-research-report", "role:sources", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.public_source", "role": "sources", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Dated public sources for deep research reports", "sources": [{"title": "PRISMA 2020 statement", "url": "https://www.prisma-statement.org/prisma-2020", "used_for": "Reporting a search and screening flow", "checked_date": "2026-10-30"}, {"title": "Cochrane Handbook for Systematic Reviews of Interventions (current version)", "url": "https://training.cochrane.org/handbook/current", "used_for": "Searching, screening and judging certainty of evidence", "checked_date": "2026-10-30"}, {"title": "W3C: Web Annotation Data Model, Text Quote Selector", "url": "https://www.w3.org/TR/annotation-model/", "used_for": "Exact quotes with prefix and suffix", "checked_date": "2026-10-30"}, {"title": "RFC 9309: Robots Exclusion Protocol", "url": "https://www.rfc-editor.org/rfc/rfc9309", "used_for": "Reading robots.txt before automated reading", "checked_date": "2026-10-30"}, {"title": "arXiv: Terms of Use for arXiv APIs", "url": "https://info.arxiv.org/help/api/tou.html", "used_for": "One request every three seconds on one connection; linking instead of serving e-prints", "checked_date": "2026-10-30"}, {"title": "Crossref: Tips for using the Crossref REST API (updated 2025-10-24)", "url": "https://www.crossref.org/documentation/retrieve-metadata/rest-api/tips-for-using-the-crossref-rest-api/", "used_for": "Filters, field selection, caching and backing off on 429", "checked_date": "2026-10-30"}, {"title": "Crossref: Retraction Watch data", "url": "https://www.crossref.org/documentation/retrieve-metadata/retraction-watch/", "used_for": "Checking cited DOIs for retractions", "checked_date": "2026-10-30"}, {"title": "Meta Transparency Center: Meta Content Library and API", "url": "https://transparency.meta.com/researchtools/meta-content-library", "used_for": "The official research route to Facebook and Instagram content", "checked_date": "2026-10-30"}], "recheck": "Recheck each source before relying on it; terms, limits and versions change.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.test-cases", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:deep-research-report", "role:test_cases", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "test_cases", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Synthetic test cases for deep research reports", "cases": [{"id": "DRR-BUILD-QUESTION", "scenario": "The question is really a build or adopt decision", "sample_input": "SYNTHETIC: Which open-source tool should we adopt to remove names from our case notes?", "expected_outcome": "no_change", "expected_indicators": ["pointer_to_prior_art_pack", "no_research_report"], "expected_human_escalation": false}, {"id": "DRR-PAYWALL", "scenario": "The key study's full text is behind a paywall", "sample_input": "SYNTHETIC: The measured study's full text needs a subscription the requester does not have.", "expected_outcome": "report_written", "expected_indicators": ["claims_from_the_abstract_only", "limit_stated", "no_paywall_bypass"], "expected_human_escalation": false}, {"id": "DRR-ROBOTS", "scenario": "A portal's robots.txt disallows the report folder", "sample_input": "SYNTHETIC: The city portal's robots.txt disallows /reports/, and the portal offers an open data API.", "expected_outcome": "sources_collected", "expected_indicators": ["robots_respected", "official_api_used", "recorded_in_source_log"], "expected_human_escalation": false}, {"id": "DRR-RETRACTED", "scenario": "An included study was retracted", "sample_input": "SYNTHETIC: The retraction data marks one included study as retracted in 2025.", "expected_outcome": "sources_screened", "expected_indicators": ["excluded_as_retracted", "listed_in_report"], "expected_human_escalation": false}, {"id": "DRR-QUOTE-MISMATCH", "scenario": "A quote does not match its source", "sample_input": "SYNTHETIC: A claim quotes 11% less waste, but the source says 11 percent less food.", "expected_outcome": "claims_extracted", "expected_indicators": ["quote_removed_and_extracted_again", "never_repaired_in_place"], "expected_human_escalation": false}, {"id": "DRR-NO-COUNTER", "scenario": "The search plan has only supporting queries", "sample_input": "SYNTHETIC: All six planned queries ask how fridges reduce waste.", "expected_outcome": "blocked", "expected_indicators": ["counter_queries_required", "plan_revised"], "expected_human_escalation": false}, {"id": "DRR-SOCIAL-POSTS", "scenario": "The question needs public Facebook posts", "sample_input": "SYNTHETIC: The requester wants public Facebook posts about a fridge network.", "expected_outcome": "blocked", "expected_indicators": ["official_research_tool_only", "no_scraping"], "expected_human_escalation": true}, {"id": "DRR-OVERREACH", "scenario": "A synthesis sentence claims more than its claims support", "sample_input": "SYNTHETIC: The synthesis says fridges cut household waste by 11 percent, citing only the self-reported pilot.", "expected_outcome": "review_done", "expected_indicators": ["overreach_listed", "review_failed", "sentence_narrowed_or_relabeled"], "expected_human_escalation": false}, {"id": "DRR-PERSONAL-DATA", "scenario": "A source lists volunteers' names and phone numbers", "sample_input": "SYNTHETIC: A fridge network's flyer lists three volunteers' names and mobile numbers.", "expected_outcome": "claims_extracted", "expected_indicators": ["no_personal_data_extracted", "claim_kept_without_names"], "expected_human_escalation": false}], "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.sources", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.public_source", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.public_source", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: three synthetic stand-in sources on community fridges", "category_reason": "Synthetic stand-in sources whose texts the worked example quotes exactly.", "notice": "SYNTHETIC stand-ins made for offline worked examples. No real city, journal, newspaper or study.", "sources": [{"id": "s1", "kind_of_source": "report by an organization", "text": "SYNTHETIC stand-in. Community Fridge Pilot Evaluation, City of Example Sustainability Office, 2025. Section 3, paragraph 2: Households within 400 meters of a pilot fridge reported discarding 11 percent less food over six months than matched households farther away. Section 4, paragraph 1: The comparison relies on self-reported food diaries and was not randomized.", "text_sha256": "75ad04d0c9f00ecaf6642c33612f019c2ba47e214dada1ec0d18de918ca470e0"}, {"id": "s2", "kind_of_source": "peer-reviewed study", "text": "SYNTHETIC stand-in. Example Journal of Food Systems, 2024, Results, paragraph 3: Across 12 neighborhoods, measured household food waste did not change significantly after fridges opened (difference -2.1 percent, 95 percent interval -6.0 to 1.8). Discussion, paragraph 2: Most donated items came from grocery stores rather than households.", "text_sha256": "de744c73a87d94801ea7632861910baf1c1c7540f505f8c35a39e887ae36ac63"}, {"id": "s3", "kind_of_source": "news report", "text": "SYNTHETIC stand-in. Example Daily Post, 2026-03-14, paragraph 5: Volunteers say the fridges are emptied within hours on most days.", "text_sha256": "ee0933c00d57fc48b31419057e6ce75bffbb357ba94cc7cf377f08d35c91f00c"}], "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.research-question", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.seed_hypothesis", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.seed_hypothesis", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: do community fridges reduce household food waste?", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.research-question", "version": 1, "value_sha256": "752f930a3998ec885ffc4e3438cdd644c470fa4dcbe47a504b0a49605856fad2"}, "instance": {"question": "In mid-sized cities, do community fridges reduce household food waste?", "why": "A city council is deciding whether to fund more fridges, partly to cut household waste.", "question_type": "causal", "scope": {"time": "reports and studies from 2020 to 2026", "place": "cities of 100,000 to 1,000,000 people", "population": "households near a community fridge"}, "definitions": [{"term": "community fridge", "meaning": "a public refrigerator where anyone may leave or take food at no cost"}, {"term": "household food waste", "meaning": "edible food a household throws away, measured or self-reported"}], "would_change_answer": ["A study that weighs household waste before and after a fridge opens, with a comparison area.", "Several independent evaluations that agree."], "out_of_scope": ["Food safety rules for fridges", "Which fridge model to buy"]}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.search-plan", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.seed_hypothesis", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.seed_hypothesis", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: three sources and a counter query", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.search-plan", "version": 1, "value_sha256": "b64c0312b150303073af2e9501285742068a2067c03e54918df920cb604b7b0f"}, "instance": {"sources": [{"name": "stand-in city report archive (synthetic)", "access": "official download", "terms_url": "https://example.invalid/terms", "rate_rule": "one request every three seconds"}, {"name": "stand-in journal index (synthetic)", "access": "official API", "terms_url": "https://example.invalid/journal/terms", "rate_rule": "filters, cached results, back off on 429"}, {"name": "stand-in local news archive (synthetic)", "access": "official site search", "terms_url": "https://example.invalid/news/terms", "rate_rule": "one request every three seconds"}], "queries": [{"id": "q1", "text": "community fridge household food waste reduction", "purpose": "support"}, {"id": "q2", "text": "community fridge household waste measured no effect", "purpose": "counter"}, {"id": "q3", "text": "community fridge public refrigerator definition", "purpose": "definition"}], "date_range": {"from": "2020-01-01", "to": "2026-10-30"}, "inclusion": ["Reports or studies of household food waste near community fridges"], "exclusion": ["Studies of commercial food waste only", "Retracted works"], "stop_rules": {"max_sources": 50, "saturation_rounds": 2}, "not_searched": [{"source": "waste haulers' bin audit records", "why": "Not public; a person could ask a city for them."}]}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.source-log", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.public_source", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.public_source", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: five sources found, one retracted", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read. s4 and s5 have no text here; their digests are of the text 'synthetic stand-in: <id>'.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.source-log", "version": 1, "value_sha256": "9336afedde4930c59288c7d13fe7142f9f5a0981966b8bd9f20bd40a8264af84"}, "instance": {"searched": [{"query_id": "q1", "source": "stand-in journal index (synthetic)", "run_on": "2026-10-30", "results": 3}, {"query_id": "q2", "source": "stand-in journal index (synthetic)", "run_on": "2026-10-30", "results": 2}, {"query_id": "q3", "source": "stand-in city report archive (synthetic)", "run_on": "2026-10-30", "results": 1}], "sources": [{"id": "s1", "title": "Community Fridge Pilot Evaluation (synthetic)", "publisher": "City of Example Sustainability Office (synthetic)", "published": "2025", "url": "https://example.invalid/fridge-pilot", "access": "official download", "retrieved_on": "2026-10-30", "text_sha256": "75ad04d0c9f00ecaf6642c33612f019c2ba47e214dada1ec0d18de918ca470e0", "retracted": false, "license_note": "A public report, quoted for research."}, {"id": "s2", "title": "Community fridges and measured household waste (synthetic)", "publisher": "Example Journal of Food Systems (synthetic)", "published": "2024", "url": "https://example.invalid/journal/fridges", "doi": "10.5555/synthetic-fridges-2024", "access": "official API", "retrieved_on": "2026-10-30", "text_sha256": "de744c73a87d94801ea7632861910baf1c1c7540f505f8c35a39e887ae36ac63", "retracted": false, "license_note": "Open access under its stated license; quoted for research."}, {"id": "s3", "title": "Volunteers keep the fridges full (synthetic)", "publisher": "Example Daily Post (synthetic)", "published": "2026", "url": "https://example.invalid/daily-post/fridges", "access": "official site search", "retrieved_on": "2026-10-30", "text_sha256": "ee0933c00d57fc48b31419057e6ce75bffbb357ba94cc7cf377f08d35c91f00c", "retracted": false, "license_note": "A news report, quoted briefly."}, {"id": "s4", "title": "Commercial food waste in grocery chains (synthetic)", "publisher": "Example Retail Review (synthetic)", "published": "2023", "url": "https://example.invalid/retail-waste", "access": "official API", "retrieved_on": "2026-10-30", "text_sha256": "3a1c522e760f60edeccc55f813d2486ed0b161340977b0dbf60e23d33af69375", "retracted": false, "license_note": "Summary only."}, {"id": "s5", "title": "Fridge sharing and household waste (synthetic, retracted)", "publisher": "Example Letters in Sustainability (synthetic)", "published": "2022", "url": "https://example.invalid/letters/fridge-sharing", "doi": "10.5555/synthetic-retracted-2022", "access": "official API", "retrieved_on": "2026-10-30", "text_sha256": "7d14a2d151460346535da47f1805c143ecdd28a1101f6f1ebccdd18c51dece42", "retracted": true, "license_note": "Retracted; listed, not used as evidence."}]}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.screening-log", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: a flow that adds up, with a retracted source excluded", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.screening-log", "version": 1, "value_sha256": "c4b1a7cf0294b7059a79c2e1e0c03bdb1448ed8f21745911b99034ef3490d2ee"}, "instance": {"decisions": [{"source_id": "s1", "stage": "full_text", "decision": "include"}, {"source_id": "s2", "stage": "full_text", "decision": "include"}, {"source_id": "s3", "stage": "full_text", "decision": "include"}, {"source_id": "s4", "stage": "title_summary", "decision": "exclude", "reason": "off_topic"}, {"source_id": "s5", "stage": "full_text", "decision": "exclude", "reason": "retracted"}], "flow": {"identified": 6, "duplicates": 1, "screened": 5, "excluded_title": 1, "assessed": 4, "excluded_full_text": 1, "included": 3}}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.claim-extract", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.seed_hypothesis", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.seed_hypothesis", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: five claims with exact quotes, one contradicting", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.claim-extract", "version": 1, "value_sha256": "bc1618f3bccd461021b8330b6e324de7bc75ac42b11c1d423e1351a5e8c95dc9"}, "instance": {"claims": [{"id": "c1", "source_id": "s1", "statement": "Households near a pilot fridge reported throwing away 11 percent less food over six months.", "quote": {"exact": "reported discarding 11 percent less food over six months", "prefix": " 400 meters of a pilot fridge ", "suffix": " than matched households farth"}, "locator": "s1, section 3, paragraph 2", "claim_type": "number", "direction": "supports", "strength": "limited", "strength_why": "One self-reported, non-randomized comparison."}, {"id": "c2", "source_id": "s1", "statement": "The pilot's comparison used self-reported diaries and was not randomized.", "quote": {"exact": "relies on self-reported food diaries and was not randomized", "prefix": ", paragraph 1: The comparison ", "suffix": "."}, "locator": "s1, section 4, paragraph 1", "claim_type": "method", "direction": "neutral", "strength": "moderate", "strength_why": "The evaluation states its own method."}, {"id": "c3", "source_id": "s2", "statement": "Measured household food waste did not change significantly in 12 neighborhoods after fridges opened.", "quote": {"exact": "measured household food waste did not change significantly after fridges opened", "prefix": "h 3: Across 12 neighborhoods, ", "suffix": " (difference -2.1 percent, 95 "}, "locator": "s2, Results, paragraph 3", "claim_type": "finding", "direction": "contradicts", "strength": "moderate", "strength_why": "One peer-reviewed study that measured waste."}, {"id": "c4", "source_id": "s2", "statement": "Most donated items came from grocery stores, not households.", "quote": {"exact": "Most donated items came from grocery stores rather than households.", "prefix": ".8). Discussion, paragraph 2: ", "suffix": ""}, "locator": "s2, Discussion, paragraph 2", "claim_type": "finding", "direction": "neutral", "strength": "limited", "strength_why": "Reported in the discussion of one study."}, {"id": "c5", "source_id": "s3", "statement": "Volunteers say the fridges are emptied within hours on most days.", "quote": {"exact": "the fridges are emptied within hours on most days", "prefix": ", paragraph 5: Volunteers say ", "suffix": "."}, "locator": "s3, paragraph 5", "claim_type": "opinion", "direction": "neutral", "strength": "limited", "strength_why": "Volunteers' accounts in one news report."}]}, "sources_noun": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.sources", "version": 1, "value_sha256": "1e7712d7afebc0cd45f0a6c344bf13d6e7d155f66cc76d8354d72bde3238f1f2"}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.synthesis", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.seed_hypothesis", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.seed_hypothesis", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: every sentence labeled, the contradiction kept", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.synthesis", "version": 1, "value_sha256": "71e24c1f67670a8a6c218dd8df51a05d38390318cb916ff8fa130039b12d947a"}, "instance": {"answer": "The evidence does not show that community fridges reduce household food waste: a self-reported pilot found 11 percent less, but a study that measured waste in 12 neighborhoods found no significant change.", "confidence": "low", "sentences": [{"text": "A city pilot found households near a fridge reported discarding 11 percent less food over six months.", "label": "source", "claims": ["c1"]}, {"text": "That comparison relied on self-reported diaries and was not randomized.", "label": "source", "claims": ["c2"]}, {"text": "A study that measured waste across 12 neighborhoods found no significant change.", "label": "source", "claims": ["c3"]}, {"text": "Because most donations came from grocery stores, fridges may move store surplus more than household waste.", "label": "synthesis", "claims": ["c3", "c4"]}, {"text": "Whether fridges change what households throw away, measured by weight, remains unknown.", "label": "open", "claims": []}], "agreements": ["Both sources describe fridges that are used heavily."], "contradictions": [{"claims": ["c1", "c3"], "note": "Self-reported reduction against no measured change; the methods differ."}], "gaps": ["No source measured household waste by weight over more than a year."]}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.example.adversarial-review", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:deep-research-report", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "deep-research-report", "pack_version": "0.1.0", "title": "Worked example: a passing review that proposes one more counter search", "notice": "SYNTHETIC. Built on the three stand-in sources in example.sources; no real study was read.", "conforms_to": {"store": "seedpack.deep-research-report", "key": "deep-research-report.v0.1.0.template.adversarial-review", "version": 1, "value_sha256": "ab2a6aed91abb0790abfe8b6a5621e6bcd9a65535596f8f9f9bdf4657aad2362"}, "instance": {"quotes_checked": 5, "quotes_not_found": [], "unsupported_sentences": [], "overreach": [], "missing_counter_evidence": [{"query": "household food waste measured by bin audits near community fridges", "why": "Would test the self-reported result directly."}], "passed": true}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
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