{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5GYVTVTAZPJOPGMKB7LK2L2EAC","short_pith_number":"pith:5GYVTVTA","canonical_record":{"source":{"id":"2412.15280","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T04:08:18Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"c5c53b3119ab9d9bee83f92d623005ec7cdba71e50c0d6da2a46aee0e68ef03a","abstract_canon_sha256":"7567c3680a1a819a43d452b757fc782a37b17e8bfd8c01213e2c6677d29cf641"},"schema_version":"1.0"},"canonical_sha256":"e9b159d660cbd2e7998a0fd6ad2f4400b9af62af51720a829cd070e4d2e09cc3","source":{"kind":"arxiv","id":"2412.15280","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15280","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15280v1","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15280","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_12","alias_value":"5GYVTVTAZPJO","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_16","alias_value":"5GYVTVTAZPJOPGMK","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_8","alias_value":"5GYVTVTA","created_at":"2026-07-05T09:52:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5GYVTVTAZPJOPGMKB7LK2L2EAC","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15280","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T04:08:18Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"c5c53b3119ab9d9bee83f92d623005ec7cdba71e50c0d6da2a46aee0e68ef03a","abstract_canon_sha256":"7567c3680a1a819a43d452b757fc782a37b17e8bfd8c01213e2c6677d29cf641"},"schema_version":"1.0"},"canonical_sha256":"e9b159d660cbd2e7998a0fd6ad2f4400b9af62af51720a829cd070e4d2e09cc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:01.143875Z","signature_b64":"zu9VahFUpAkho7n7ujJfSyhogvGWvpP9+xDaaO4G9ks2Vz9XLIs7bByj6vc1/cLaqkDuivNctSaDd8c7u74+Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9b159d660cbd2e7998a0fd6ad2f4400b9af62af51720a829cd070e4d2e09cc3","last_reissued_at":"2026-07-05T09:52:01.143367Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:01.143367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15280","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":"2026-07-05T09:52:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y855m4WOr6l8shLKnLaIPpWJMciBDzsdMgLdq1RzqBfpEX0dkI7DJg5+3KVWmBbO9m7Dxy53+PXCxYy3S3rIDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:59:14.016119Z"},"content_sha256":"1f168264454bf6bff04d00cc3ade1e4728cceaa8c7dcff63ede1a0c4e3b32028","schema_version":"1.0","event_id":"sha256:1f168264454bf6bff04d00cc3ade1e4728cceaa8c7dcff63ede1a0c4e3b32028"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5GYVTVTAZPJOPGMKB7LK2L2EAC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Context-DPO: Aligning Language Models for Context-Faithfulness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Baolong Bi, Feng Sun, Furu Wei, Haizhen Huang, Junfeng Fang, Lingrui Mei, Qi Zhang, Shaohan Huang, Shenghua Liu, Tianchi Yang, Weiwei Deng, Yiwei Wang, Zehao Li, Zihan Zhang","submitted_at":"2024-12-18T04:08:18Z","abstract_excerpt":"Reliable responses from large language models (LLMs) require adherence to user instructions and retrieved information. While alignment techniques help LLMs align with human intentions and values, improving context-faithfulness through alignment remains underexplored. To address this, we propose $\\textbf{Context-DPO}$, the first alignment method specifically designed to enhance LLMs' context-faithfulness. We introduce $\\textbf{ConFiQA}$, a benchmark that simulates Retrieval-Augmented Generation (RAG) scenarios with knowledge conflicts to evaluate context-faithfulness. By leveraging faithful and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15280","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/2412.15280/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":"2026-07-05T09:52:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x1FPNDTtlnVxXgY0o/G/MA6+lp35ViHpaLZJ/QmayEnKnKuVu0EielnY7Io+iAAKH5wcKToIcn17zPNi97qSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:59:14.016616Z"},"content_sha256":"d1d4f53a7e1756afea78e7e148bc95835fdb7a973762faf9da7188e3192412f5","schema_version":"1.0","event_id":"sha256:d1d4f53a7e1756afea78e7e148bc95835fdb7a973762faf9da7188e3192412f5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/bundle.json","state_url":"https://pith.science/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/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":"2026-08-08T06:59:14Z","links":{"resolver":"https://pith.science/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC","bundle":"https://pith.science/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/bundle.json","state":"https://pith.science/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5GYVTVTAZPJOPGMKB7LK2L2EAC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5GYVTVTAZPJOPGMKB7LK2L2EAC","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":"7567c3680a1a819a43d452b757fc782a37b17e8bfd8c01213e2c6677d29cf641","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T04:08:18Z","title_canon_sha256":"c5c53b3119ab9d9bee83f92d623005ec7cdba71e50c0d6da2a46aee0e68ef03a"},"schema_version":"1.0","source":{"id":"2412.15280","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15280","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15280v1","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15280","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_12","alias_value":"5GYVTVTAZPJO","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_16","alias_value":"5GYVTVTAZPJOPGMK","created_at":"2026-07-05T09:52:01Z"},{"alias_kind":"pith_short_8","alias_value":"5GYVTVTA","created_at":"2026-07-05T09:52:01Z"}],"graph_snapshots":[{"event_id":"sha256:d1d4f53a7e1756afea78e7e148bc95835fdb7a973762faf9da7188e3192412f5","target":"graph","created_at":"2026-07-05T09:52:01Z","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/2412.15280/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable responses from large language models (LLMs) require adherence to user instructions and retrieved information. While alignment techniques help LLMs align with human intentions and values, improving context-faithfulness through alignment remains underexplored. To address this, we propose $\\textbf{Context-DPO}$, the first alignment method specifically designed to enhance LLMs' context-faithfulness. We introduce $\\textbf{ConFiQA}$, a benchmark that simulates Retrieval-Augmented Generation (RAG) scenarios with knowledge conflicts to evaluate context-faithfulness. By leveraging faithful and","authors_text":"Baolong Bi, Feng Sun, Furu Wei, Haizhen Huang, Junfeng Fang, Lingrui Mei, Qi Zhang, Shaohan Huang, Shenghua Liu, Tianchi Yang, Weiwei Deng, Yiwei Wang, Zehao Li, Zihan Zhang","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T04:08:18Z","title":"Context-DPO: Aligning Language Models for Context-Faithfulness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15280","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":"sha256:1f168264454bf6bff04d00cc3ade1e4728cceaa8c7dcff63ede1a0c4e3b32028","target":"record","created_at":"2026-07-05T09:52:01Z","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":"7567c3680a1a819a43d452b757fc782a37b17e8bfd8c01213e2c6677d29cf641","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-18T04:08:18Z","title_canon_sha256":"c5c53b3119ab9d9bee83f92d623005ec7cdba71e50c0d6da2a46aee0e68ef03a"},"schema_version":"1.0","source":{"id":"2412.15280","kind":"arxiv","version":1}},"canonical_sha256":"e9b159d660cbd2e7998a0fd6ad2f4400b9af62af51720a829cd070e4d2e09cc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9b159d660cbd2e7998a0fd6ad2f4400b9af62af51720a829cd070e4d2e09cc3","first_computed_at":"2026-07-05T09:52:01.143367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:01.143367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zu9VahFUpAkho7n7ujJfSyhogvGWvpP9+xDaaO4G9ks2Vz9XLIs7bByj6vc1/cLaqkDuivNctSaDd8c7u74+Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:01.143875Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15280","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f168264454bf6bff04d00cc3ade1e4728cceaa8c7dcff63ede1a0c4e3b32028","sha256:d1d4f53a7e1756afea78e7e148bc95835fdb7a973762faf9da7188e3192412f5"],"state_sha256":"b349f0e61e3d09debff5b3e74d3deb988d607108f363bd5df8a46df5f6f5e31e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TFNTZYe8Zm8Is3GslXhOtnbREtfQgSB6S/77f8qZnJycb28/DGK7MxYRiCB+M3jggUwH/oKK6Kd0NzWBKzUmAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T06:59:14.021665Z","bundle_sha256":"982d5c3464a3941b22eb4c609144d7dccf62bb706fcb94d7c421c79838569e7a"}}