{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:COP3VJEWFMCQ3J4TGET4LTAB36","short_pith_number":"pith:COP3VJEW","schema_version":"1.0","canonical_sha256":"139fbaa4962b050da7933127c5cc01dfbee6443a15081513fb1aa8a7bd2e5d82","source":{"kind":"arxiv","id":"2606.26721","version":1},"attestation_state":"computed","paper":{"title":"Knowledge-Based Pull Requests: A Trusted Workflow for Agent-Mediated Knowledge Collaboration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.SE","authors_text":"Weiwei Sun, Xinyu Zhang","submitted_at":"2026-06-25T07:57:33Z","abstract_excerpt":"AI coding agents are changing the bottleneck in software collaboration: code is increasingly cheap, while understanding intent, negotiating scope, and governing long-term project responsibility remain costly. This paper proposes \\emph{Knowledge-Based Pull Requests} (KPR), a trusted workflow for agent-mediated software collaboration across trust boundaries, including open source, enterprise, vendor, contractor, and customer-driven settings. In KPR, an external collaborator's local code, tests, and cleaned agent interaction trace are treated as knowledge sources rather than as the default merge "},"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":"2606.26721","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-06-25T07:57:33Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"3425150e2e3e809eb2885fa48bf7dbaab27984f195b57945738c29e9eb4d45c0","abstract_canon_sha256":"0caba479f5405e6b769fab21ac259e2deb1beeeb1489bb177ab8b368ddad6829"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:15:57.969301Z","signature_b64":"kkfWQ6j6XKgXtW1jrLIbdVSYxdBTIJ9/848NG3Z7UeRYwiwXKCQFi2aljwHolRqvtGtih61OCdbU9P5qC9DGDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"139fbaa4962b050da7933127c5cc01dfbee6443a15081513fb1aa8a7bd2e5d82","last_reissued_at":"2026-06-26T01:15:57.968914Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:15:57.968914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Knowledge-Based Pull Requests: A Trusted Workflow for Agent-Mediated Knowledge Collaboration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.SE","authors_text":"Weiwei Sun, Xinyu Zhang","submitted_at":"2026-06-25T07:57:33Z","abstract_excerpt":"AI coding agents are changing the bottleneck in software collaboration: code is increasingly cheap, while understanding intent, negotiating scope, and governing long-term project responsibility remain costly. This paper proposes \\emph{Knowledge-Based Pull Requests} (KPR), a trusted workflow for agent-mediated software collaboration across trust boundaries, including open source, enterprise, vendor, contractor, and customer-driven settings. In KPR, an external collaborator's local code, tests, and cleaned agent interaction trace are treated as knowledge sources rather than as the default merge "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26721","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/2606.26721/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":"2606.26721","created_at":"2026-06-26T01:15:57.968969+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.26721v1","created_at":"2026-06-26T01:15:57.968969+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26721","created_at":"2026-06-26T01:15:57.968969+00:00"},{"alias_kind":"pith_short_12","alias_value":"COP3VJEWFMCQ","created_at":"2026-06-26T01:15:57.968969+00:00"},{"alias_kind":"pith_short_16","alias_value":"COP3VJEWFMCQ3J4T","created_at":"2026-06-26T01:15:57.968969+00:00"},{"alias_kind":"pith_short_8","alias_value":"COP3VJEW","created_at":"2026-06-26T01:15:57.968969+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/COP3VJEWFMCQ3J4TGET4LTAB36","json":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36.json","graph_json":"https://pith.science/api/pith-number/COP3VJEWFMCQ3J4TGET4LTAB36/graph.json","events_json":"https://pith.science/api/pith-number/COP3VJEWFMCQ3J4TGET4LTAB36/events.json","paper":"https://pith.science/paper/COP3VJEW"},"agent_actions":{"view_html":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36","download_json":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36.json","view_paper":"https://pith.science/paper/COP3VJEW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.26721&json=true","fetch_graph":"https://pith.science/api/pith-number/COP3VJEWFMCQ3J4TGET4LTAB36/graph.json","fetch_events":"https://pith.science/api/pith-number/COP3VJEWFMCQ3J4TGET4LTAB36/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36/action/timestamp_anchor","attest_storage":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36/action/storage_attestation","attest_author":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36/action/author_attestation","sign_citation":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36/action/citation_signature","submit_replication":"https://pith.science/pith/COP3VJEWFMCQ3J4TGET4LTAB36/action/replication_record"}},"created_at":"2026-06-26T01:15:57.968969+00:00","updated_at":"2026-06-26T01:15:57.968969+00:00"}