{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4OLJQANZAEHJCPFOXOCGTC2CIN","short_pith_number":"pith:4OLJQANZ","canonical_record":{"source":{"id":"2509.10208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-12T12:56:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dbfa752b3027d7906168c2101a1f47d6a9d5df5a7aa63aaaeeb2009d7b275815","abstract_canon_sha256":"f4d4c5ad9c3d4f7577695e0a75dd045ddcf18a26bde761356b0281cff1b8e810"},"schema_version":"1.0"},"canonical_sha256":"e3969801b9010e913caebb84698b424344b9c6e1ae3ea18bb9c20abcc9398420","source":{"kind":"arxiv","id":"2509.10208","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10208","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10208v1","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10208","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_12","alias_value":"4OLJQANZAEHJ","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_16","alias_value":"4OLJQANZAEHJCPFO","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_8","alias_value":"4OLJQANZ","created_at":"2026-07-05T12:11:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4OLJQANZAEHJCPFOXOCGTC2CIN","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-12T12:56:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dbfa752b3027d7906168c2101a1f47d6a9d5df5a7aa63aaaeeb2009d7b275815","abstract_canon_sha256":"f4d4c5ad9c3d4f7577695e0a75dd045ddcf18a26bde761356b0281cff1b8e810"},"schema_version":"1.0"},"canonical_sha256":"e3969801b9010e913caebb84698b424344b9c6e1ae3ea18bb9c20abcc9398420","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:04.889600Z","signature_b64":"U6ZLZ23vVkB+LeP6ulcgRN11dITHQNLUwZuuoL/lJu2j49elQqANAOCiiiV9FDM6U+Fs4nlJsjDqG0H70VQeDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e3969801b9010e913caebb84698b424344b9c6e1ae3ea18bb9c20abcc9398420","last_reissued_at":"2026-07-05T12:11:04.889001Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:04.889001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10208","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":"2026-07-05T12:11:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eldvWfE4gZBIiN82CJvJ2x4rP3uua382/CIjJFx1inmbgl3TNhV0ZtuYlZcVEFwMcBECFjH0tWS5K6vFfpZoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:37:30.238744Z"},"content_sha256":"6c45e59ade7838131e510e34b7e301d32c4f6f7945634b19fa9f02ec603eec3a","schema_version":"1.0","event_id":"sha256:6c45e59ade7838131e510e34b7e301d32c4f6f7945634b19fa9f02ec603eec3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4OLJQANZAEHJCPFOXOCGTC2CIN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Shengqiang Fu","submitted_at":"2025-09-12T12:56:14Z","abstract_excerpt":"Large Language Models often generate unfaithful responses in knowledge intensive tasks due to knowledge conflict,that is,a preference for relying on internal parametric knowledge rather than the provided context.To address this issue,we propose a novel self improving framework,Self Improving Faithfulness Aware Contrastive Tuning.The framework uses a self instruct mechanism that allows the base LLM to automatically generate high quality,structured contrastive learning data,including anchor samples,semantically equivalent positive samples,and negative samples simulating unfaithful scenarios.This"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10208","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/2509.10208/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":"2026-07-05T12:11:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"parYaBgBKD9gBPtJnoEnske++0DLCUROdPNFYsWEBFahU6CvgIsRKa65xAgZsExkNBXZNLr3vWEdTAEt2n1xDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:37:30.239230Z"},"content_sha256":"abedeba4ac5a1e2e520e604be2c8e36c6c6b353c5f61b68eee264d911bdcc750","schema_version":"1.0","event_id":"sha256:abedeba4ac5a1e2e520e604be2c8e36c6c6b353c5f61b68eee264d911bdcc750"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/bundle.json","state_url":"https://pith.science/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/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":"2026-08-07T22:37:30Z","links":{"resolver":"https://pith.science/pith/4OLJQANZAEHJCPFOXOCGTC2CIN","bundle":"https://pith.science/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/bundle.json","state":"https://pith.science/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4OLJQANZAEHJCPFOXOCGTC2CIN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4OLJQANZAEHJCPFOXOCGTC2CIN","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":"f4d4c5ad9c3d4f7577695e0a75dd045ddcf18a26bde761356b0281cff1b8e810","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-12T12:56:14Z","title_canon_sha256":"dbfa752b3027d7906168c2101a1f47d6a9d5df5a7aa63aaaeeb2009d7b275815"},"schema_version":"1.0","source":{"id":"2509.10208","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10208","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10208v1","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10208","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_12","alias_value":"4OLJQANZAEHJ","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_16","alias_value":"4OLJQANZAEHJCPFO","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_8","alias_value":"4OLJQANZ","created_at":"2026-07-05T12:11:04Z"}],"graph_snapshots":[{"event_id":"sha256:abedeba4ac5a1e2e520e604be2c8e36c6c6b353c5f61b68eee264d911bdcc750","target":"graph","created_at":"2026-07-05T12:11:04Z","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/2509.10208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models often generate unfaithful responses in knowledge intensive tasks due to knowledge conflict,that is,a preference for relying on internal parametric knowledge rather than the provided context.To address this issue,we propose a novel self improving framework,Self Improving Faithfulness Aware Contrastive Tuning.The framework uses a self instruct mechanism that allows the base LLM to automatically generate high quality,structured contrastive learning data,including anchor samples,semantically equivalent positive samples,and negative samples simulating unfaithful scenarios.This","authors_text":"Shengqiang Fu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-12T12:56:14Z","title":"SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10208","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":"sha256:6c45e59ade7838131e510e34b7e301d32c4f6f7945634b19fa9f02ec603eec3a","target":"record","created_at":"2026-07-05T12:11:04Z","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":"f4d4c5ad9c3d4f7577695e0a75dd045ddcf18a26bde761356b0281cff1b8e810","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-12T12:56:14Z","title_canon_sha256":"dbfa752b3027d7906168c2101a1f47d6a9d5df5a7aa63aaaeeb2009d7b275815"},"schema_version":"1.0","source":{"id":"2509.10208","kind":"arxiv","version":1}},"canonical_sha256":"e3969801b9010e913caebb84698b424344b9c6e1ae3ea18bb9c20abcc9398420","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e3969801b9010e913caebb84698b424344b9c6e1ae3ea18bb9c20abcc9398420","first_computed_at":"2026-07-05T12:11:04.889001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:04.889001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U6ZLZ23vVkB+LeP6ulcgRN11dITHQNLUwZuuoL/lJu2j49elQqANAOCiiiV9FDM6U+Fs4nlJsjDqG0H70VQeDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:04.889600Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10208","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c45e59ade7838131e510e34b7e301d32c4f6f7945634b19fa9f02ec603eec3a","sha256:abedeba4ac5a1e2e520e604be2c8e36c6c6b353c5f61b68eee264d911bdcc750"],"state_sha256":"a53103ada90ad2f83dbaf8db22e8ff9601eaf0c45988eb138c2130f223cc2460"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kweszSmTYeNLdTgV/qGnZjMWinOr27xpWkWvEz09udqQ2XTpzgJXqiyN0tsnP5xw0aUlRl7M8Y30oaQWMWoIAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T22:37:30.242555Z","bundle_sha256":"e8565abc6a020b5090aeb9f58ad0d5643fc139251cddab8a38a8c7e8b44bdbf5"}}