{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ARC3FN62W4K66HNXD2WGX2ZALZ","short_pith_number":"pith:ARC3FN62","schema_version":"1.0","canonical_sha256":"0445b2b7dab715ef1db71eac6beb205e492012c1755950baac665e392d9e79ae","source":{"kind":"arxiv","id":"2608.10858","version":1},"attestation_state":"computed","paper":{"title":"Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Observation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.DL","authors_text":"Chengqun Yu, Yang Zhou","submitted_at":"2026-08-11T12:30:42Z","abstract_excerpt":"Language models now draft, classify and criticise inside research production, yet the artifacts they help produce carry little accountable history. Rather than detecting machine involvement afterwards, we specify an auditability discipline built at production time: git sealing with an anchor lineage, hash-bound provenance, red-line gates that refuse non-compliant artifacts and log every refusal, cross-model role separation, and programmatic assembly from registered sources. Adherence is instrumented by metric cards, each carrying a pre-registered blind spot and evidential standing, frozen befo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.10858","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DL","submitted_at":"2026-08-11T12:30:42Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"8c4da4fa5541e87539962fe956c22dfab21fefb4aa3b5eb0fc1a6042e17c829d","abstract_canon_sha256":"3057c0fd171707fde210e0433ace43c65d06887d7bc4e25ef3f4802af4a2efc6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T01:23:34.955550Z","signature_b64":"znt2SyyQgO1MC9E0syipRsO6VSWQj3n68oTIhIYNZrRPiw350kblYT/3WSuKpPo3h4BZkXIN0tDXZnZhKHmnBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0445b2b7dab715ef1db71eac6beb205e492012c1755950baac665e392d9e79ae","last_reissued_at":"2026-08-12T01:23:34.953421Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T01:23:34.953421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Observation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.DL","authors_text":"Chengqun Yu, Yang Zhou","submitted_at":"2026-08-11T12:30:42Z","abstract_excerpt":"Language models now draft, classify and criticise inside research production, yet the artifacts they help produce carry little accountable history. Rather than detecting machine involvement afterwards, we specify an auditability discipline built at production time: git sealing with an anchor lineage, hash-bound provenance, red-line gates that refuse non-compliant artifacts and log every refusal, cross-model role separation, and programmatic assembly from registered sources. Adherence is instrumented by metric cards, each carrying a pre-registered blind spot and evidential standing, frozen befo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10858","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.10858/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.10858","created_at":"2026-08-12T01:23:34.957594+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.10858v1","created_at":"2026-08-12T01:23:34.957594+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10858","created_at":"2026-08-12T01:23:34.957594+00:00"},{"alias_kind":"pith_short_12","alias_value":"ARC3FN62W4K6","created_at":"2026-08-12T01:23:34.957594+00:00"},{"alias_kind":"pith_short_16","alias_value":"ARC3FN62W4K66HNX","created_at":"2026-08-12T01:23:34.957594+00:00"},{"alias_kind":"pith_short_8","alias_value":"ARC3FN62","created_at":"2026-08-12T01:23:34.957594+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ","json":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ.json","graph_json":"https://pith.science/api/pith-number/ARC3FN62W4K66HNXD2WGX2ZALZ/graph.json","events_json":"https://pith.science/api/pith-number/ARC3FN62W4K66HNXD2WGX2ZALZ/events.json","paper":"https://pith.science/paper/ARC3FN62"},"agent_actions":{"view_html":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ","download_json":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ.json","view_paper":"https://pith.science/paper/ARC3FN62","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.10858&json=true","fetch_graph":"https://pith.science/api/pith-number/ARC3FN62W4K66HNXD2WGX2ZALZ/graph.json","fetch_events":"https://pith.science/api/pith-number/ARC3FN62W4K66HNXD2WGX2ZALZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ/action/storage_attestation","attest_author":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ/action/author_attestation","sign_citation":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ/action/citation_signature","submit_replication":"https://pith.science/pith/ARC3FN62W4K66HNXD2WGX2ZALZ/action/replication_record"}},"created_at":"2026-08-12T01:23:34.957594+00:00","updated_at":"2026-08-12T01:23:34.957594+00:00"}