{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UTQR46RDTUCCOKBDPYBF42JEBF","short_pith_number":"pith:UTQR46RD","canonical_record":{"source":{"id":"2303.11315","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-20T17:54:58Z","cross_cats_sorted":[],"title_canon_sha256":"8af83f39fafa22292f33b93899d5eccd90748db46509964484f9f2f00a3ada9f","abstract_canon_sha256":"5eabe89c01aa8eefb18a4e350c89742823a5b2a869df2d69747c211c0765aa17"},"schema_version":"1.0"},"canonical_sha256":"a4e11e7a239d042728237e025e69240956e8311f5607c43a026e798628e74638","source":{"kind":"arxiv","id":"2303.11315","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.11315","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"arxiv_version","alias_value":"2303.11315v2","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.11315","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_12","alias_value":"UTQR46RDTUCC","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_16","alias_value":"UTQR46RDTUCCOKBD","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_8","alias_value":"UTQR46RD","created_at":"2026-07-05T07:03:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UTQR46RDTUCCOKBDPYBF42JEBF","target":"record","payload":{"canonical_record":{"source":{"id":"2303.11315","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-20T17:54:58Z","cross_cats_sorted":[],"title_canon_sha256":"8af83f39fafa22292f33b93899d5eccd90748db46509964484f9f2f00a3ada9f","abstract_canon_sha256":"5eabe89c01aa8eefb18a4e350c89742823a5b2a869df2d69747c211c0765aa17"},"schema_version":"1.0"},"canonical_sha256":"a4e11e7a239d042728237e025e69240956e8311f5607c43a026e798628e74638","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:03:22.593940Z","signature_b64":"4e87GTAVyKwdG9s7ULh6m7cVebtR+H3obcAMvg98QZG9mi8FGgsuCkElzZZOYFELcYLrFuKmJmyuMxfy5buuAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4e11e7a239d042728237e025e69240956e8311f5607c43a026e798628e74638","last_reissued_at":"2026-07-05T07:03:22.593459Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:03:22.593459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.11315","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:03:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VyxNdmcSA1yMNwMdEsdaz5DJ2wJcMOTSFezQCAWcyfO10IDwEAOtuHLq+Zt1IioqSWYZEjZTFav2hxfXntCsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:50:10.923450Z"},"content_sha256":"d3fd028ebe7e5e989557b916ca7520768d7d7c91574db9ed6edfceee6442f714","schema_version":"1.0","event_id":"sha256:d3fd028ebe7e5e989557b916ca7520768d7d7c91574db9ed6edfceee6442f714"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UTQR46RDTUCCOKBDPYBF42JEBF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Context-faithful Prompting for Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hoifung Poon, Muhao Chen, Sheng Zhang, Wenxuan Zhou","submitted_at":"2023-03-20T17:54:58Z","abstract_excerpt":"Large language models (LLMs) encode parametric knowledge about world facts and have shown remarkable performance in knowledge-driven NLP tasks. However, their reliance on parametric knowledge may cause them to overlook contextual cues, leading to incorrect predictions in context-sensitive NLP tasks (e.g., knowledge acquisition tasks). In this paper, we seek to assess and enhance LLMs' contextual faithfulness in two aspects: knowledge conflict and prediction with abstention. We demonstrate that LLMs' faithfulness can be significantly improved using carefully designed prompting strategies. In pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.11315","kind":"arxiv","version":2},"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/2303.11315/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":"2026-07-05T07:03:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QhNzSRmJkPlfA6kaGR7JFPVJZNQUO9GiN7L+rzKA7Ct2YTaVSszcxq/oPc8/94TXKYlfnXu1Y9DJYEjH5CVbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:50:10.923940Z"},"content_sha256":"a2084ce1bde4e8b6b7fb14b9a0474dcdfb4567436dbeb3956553cfc0d6163165","schema_version":"1.0","event_id":"sha256:a2084ce1bde4e8b6b7fb14b9a0474dcdfb4567436dbeb3956553cfc0d6163165"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UTQR46RDTUCCOKBDPYBF42JEBF/bundle.json","state_url":"https://pith.science/pith/UTQR46RDTUCCOKBDPYBF42JEBF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UTQR46RDTUCCOKBDPYBF42JEBF/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":"2026-08-08T12:50:10Z","links":{"resolver":"https://pith.science/pith/UTQR46RDTUCCOKBDPYBF42JEBF","bundle":"https://pith.science/pith/UTQR46RDTUCCOKBDPYBF42JEBF/bundle.json","state":"https://pith.science/pith/UTQR46RDTUCCOKBDPYBF42JEBF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UTQR46RDTUCCOKBDPYBF42JEBF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UTQR46RDTUCCOKBDPYBF42JEBF","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":"5eabe89c01aa8eefb18a4e350c89742823a5b2a869df2d69747c211c0765aa17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-20T17:54:58Z","title_canon_sha256":"8af83f39fafa22292f33b93899d5eccd90748db46509964484f9f2f00a3ada9f"},"schema_version":"1.0","source":{"id":"2303.11315","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.11315","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"arxiv_version","alias_value":"2303.11315v2","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.11315","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_12","alias_value":"UTQR46RDTUCC","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_16","alias_value":"UTQR46RDTUCCOKBD","created_at":"2026-07-05T07:03:22Z"},{"alias_kind":"pith_short_8","alias_value":"UTQR46RD","created_at":"2026-07-05T07:03:22Z"}],"graph_snapshots":[{"event_id":"sha256:a2084ce1bde4e8b6b7fb14b9a0474dcdfb4567436dbeb3956553cfc0d6163165","target":"graph","created_at":"2026-07-05T07:03:22Z","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/2303.11315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) encode parametric knowledge about world facts and have shown remarkable performance in knowledge-driven NLP tasks. However, their reliance on parametric knowledge may cause them to overlook contextual cues, leading to incorrect predictions in context-sensitive NLP tasks (e.g., knowledge acquisition tasks). In this paper, we seek to assess and enhance LLMs' contextual faithfulness in two aspects: knowledge conflict and prediction with abstention. We demonstrate that LLMs' faithfulness can be significantly improved using carefully designed prompting strategies. In pa","authors_text":"Hoifung Poon, Muhao Chen, Sheng Zhang, Wenxuan Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-20T17:54:58Z","title":"Context-faithful Prompting for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.11315","kind":"arxiv","version":2},"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:d3fd028ebe7e5e989557b916ca7520768d7d7c91574db9ed6edfceee6442f714","target":"record","created_at":"2026-07-05T07:03:22Z","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":"5eabe89c01aa8eefb18a4e350c89742823a5b2a869df2d69747c211c0765aa17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-03-20T17:54:58Z","title_canon_sha256":"8af83f39fafa22292f33b93899d5eccd90748db46509964484f9f2f00a3ada9f"},"schema_version":"1.0","source":{"id":"2303.11315","kind":"arxiv","version":2}},"canonical_sha256":"a4e11e7a239d042728237e025e69240956e8311f5607c43a026e798628e74638","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4e11e7a239d042728237e025e69240956e8311f5607c43a026e798628e74638","first_computed_at":"2026-07-05T07:03:22.593459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:03:22.593459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4e87GTAVyKwdG9s7ULh6m7cVebtR+H3obcAMvg98QZG9mi8FGgsuCkElzZZOYFELcYLrFuKmJmyuMxfy5buuAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:03:22.593940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.11315","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3fd028ebe7e5e989557b916ca7520768d7d7c91574db9ed6edfceee6442f714","sha256:a2084ce1bde4e8b6b7fb14b9a0474dcdfb4567436dbeb3956553cfc0d6163165"],"state_sha256":"0fcf35a3e424c63ff7212235ff85d7acbb5c81b9ee0a5e24944b07f2287ddd8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NuWG6FoEgOpQribvf8qW15WkPnpJA2ivwVQ9+FwTXKLlBpTJjLJPeKjbnt5lGUsABdeNbiOWv9iJpYhJU8tgBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:50:10.928550Z","bundle_sha256":"b38086c3afa54b0c5f9afca6c4e25a081637bac0490f52c6156c5f47666b7550"}}