{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5O5HI4WBYWWN67UVGTIZH2ZGVE","short_pith_number":"pith:5O5HI4WB","canonical_record":{"source":{"id":"2605.25964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T15:41:16Z","cross_cats_sorted":[],"title_canon_sha256":"1bfbe7e88c5d5981bb5e60ed41533e38c28c9edbdc5b0a064c317f2df4397bc2","abstract_canon_sha256":"9146dfff06da6a66660a205e7873ae098e98763693331c854431a4e8bc40f863"},"schema_version":"1.0"},"canonical_sha256":"ebba7472c1c5acdf7e9534d193eb26a9330da610c6eb6d06310e145f86dde4ef","source":{"kind":"arxiv","id":"2605.25964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25964","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25964v1","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25964","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_12","alias_value":"5O5HI4WBYWWN","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_16","alias_value":"5O5HI4WBYWWN67UV","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_8","alias_value":"5O5HI4WB","created_at":"2026-05-26T02:05:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5O5HI4WBYWWN67UVGTIZH2ZGVE","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T15:41:16Z","cross_cats_sorted":[],"title_canon_sha256":"1bfbe7e88c5d5981bb5e60ed41533e38c28c9edbdc5b0a064c317f2df4397bc2","abstract_canon_sha256":"9146dfff06da6a66660a205e7873ae098e98763693331c854431a4e8bc40f863"},"schema_version":"1.0"},"canonical_sha256":"ebba7472c1c5acdf7e9534d193eb26a9330da610c6eb6d06310e145f86dde4ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:05:20.713404Z","signature_b64":"ck3s7Oss2Hjl9JnCdKQD1s2wQDkp4c5PIgjalgF5msJGkiwiBoxAcLIEdvO2T6mqIfyGLiCj3R7tCy0bw1rsBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebba7472c1c5acdf7e9534d193eb26a9330da610c6eb6d06310e145f86dde4ef","last_reissued_at":"2026-05-26T02:05:20.712781Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:05:20.712781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25964","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:05:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ztwJ3enY/PynqP9HAYEDdnfYyRlE9XNBG/sMLKTCNKugkcn7vF5kF50fgabZ8gIq9u8GFP5D/PMVv0tEAhQeCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T13:03:01.675623Z"},"content_sha256":"fa60bda3a17cdc7da68df1b67b0b12d863071128e2fbabb913a62dd0a5836907","schema_version":"1.0","event_id":"sha256:fa60bda3a17cdc7da68df1b67b0b12d863071128e2fbabb913a62dd0a5836907"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5O5HI4WBYWWN67UVGTIZH2ZGVE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chen Tang, Jiabei Xiao, Pengze Li, Shixiang Tang, Wanli Ouyang, Yizhou Wang","submitted_at":"2026-05-25T15:41:16Z","abstract_excerpt":"AI Scientists have shown promising progress across multiple stages of the research pipeline, among which automatic scientific paper writing remains a formidable challenge. The Introduction writing is especially challenging, which demands not only linguistic fluency, but logical soundness and verifiable faithfulness. Most AI-assisted methods treat the task as text generation instead of reasoning and structuring, leading to severe drawbacks, e.g., hallucinating citations. To address this, we first formulate the Content-Conditional Introduction Generation (CCIG) task, which requires grounding the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25964","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/2605.25964/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:05:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F8pecP4veTAI5rNLmA2P/tKk7Yj91nhSftERgT98xqyjQH8C5KdIOMR5ncQGFa3tHEwkSmcivaCTWVzIEoZXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T13:03:01.675999Z"},"content_sha256":"33f91038b6bf306bb5812574def2950b5482fffb82bc0edf34054cfe558d6781","schema_version":"1.0","event_id":"sha256:33f91038b6bf306bb5812574def2950b5482fffb82bc0edf34054cfe558d6781"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/bundle.json","state_url":"https://pith.science/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T13:03:01Z","links":{"resolver":"https://pith.science/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE","bundle":"https://pith.science/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/bundle.json","state":"https://pith.science/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5O5HI4WBYWWN67UVGTIZH2ZGVE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5O5HI4WBYWWN67UVGTIZH2ZGVE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9146dfff06da6a66660a205e7873ae098e98763693331c854431a4e8bc40f863","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T15:41:16Z","title_canon_sha256":"1bfbe7e88c5d5981bb5e60ed41533e38c28c9edbdc5b0a064c317f2df4397bc2"},"schema_version":"1.0","source":{"id":"2605.25964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25964","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25964v1","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25964","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_12","alias_value":"5O5HI4WBYWWN","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_16","alias_value":"5O5HI4WBYWWN67UV","created_at":"2026-05-26T02:05:20Z"},{"alias_kind":"pith_short_8","alias_value":"5O5HI4WB","created_at":"2026-05-26T02:05:20Z"}],"graph_snapshots":[{"event_id":"sha256:33f91038b6bf306bb5812574def2950b5482fffb82bc0edf34054cfe558d6781","target":"graph","created_at":"2026-05-26T02:05:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.25964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI Scientists have shown promising progress across multiple stages of the research pipeline, among which automatic scientific paper writing remains a formidable challenge. The Introduction writing is especially challenging, which demands not only linguistic fluency, but logical soundness and verifiable faithfulness. Most AI-assisted methods treat the task as text generation instead of reasoning and structuring, leading to severe drawbacks, e.g., hallucinating citations. To address this, we first formulate the Content-Conditional Introduction Generation (CCIG) task, which requires grounding the","authors_text":"Chen Tang, Jiabei Xiao, Pengze Li, Shixiang Tang, Wanli Ouyang, Yizhou Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T15:41:16Z","title":"LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25964","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fa60bda3a17cdc7da68df1b67b0b12d863071128e2fbabb913a62dd0a5836907","target":"record","created_at":"2026-05-26T02:05:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9146dfff06da6a66660a205e7873ae098e98763693331c854431a4e8bc40f863","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T15:41:16Z","title_canon_sha256":"1bfbe7e88c5d5981bb5e60ed41533e38c28c9edbdc5b0a064c317f2df4397bc2"},"schema_version":"1.0","source":{"id":"2605.25964","kind":"arxiv","version":1}},"canonical_sha256":"ebba7472c1c5acdf7e9534d193eb26a9330da610c6eb6d06310e145f86dde4ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebba7472c1c5acdf7e9534d193eb26a9330da610c6eb6d06310e145f86dde4ef","first_computed_at":"2026-05-26T02:05:20.712781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:20.712781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ck3s7Oss2Hjl9JnCdKQD1s2wQDkp4c5PIgjalgF5msJGkiwiBoxAcLIEdvO2T6mqIfyGLiCj3R7tCy0bw1rsBg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:20.713404Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa60bda3a17cdc7da68df1b67b0b12d863071128e2fbabb913a62dd0a5836907","sha256:33f91038b6bf306bb5812574def2950b5482fffb82bc0edf34054cfe558d6781"],"state_sha256":"64adf76b3cbd1286d64743157a3cfa035a5cd545c7541ccfe3a221cf1731a005"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OSH5p/mbSoo8JSWyDtl9pGIrgsf8ovej0Ws7GlBjpw1wSuuhusFAskboDXSo3SeFVpgwGbZ45LT/yVVNKWMjCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T13:03:01.678130Z","bundle_sha256":"6a7958dfb4b99b2501bf8b2727536c5943bcd139fb5316b2ab62e1f0ec5c3d91"}}