{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NV7CTHAOKLE2RMXORSBQY5ZD6K","short_pith_number":"pith:NV7CTHAO","canonical_record":{"source":{"id":"2501.09997","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T07:30:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d7b0ae77b5e194681bf446f8895a7893c7fe4317d1eda17abbc8f11813653552","abstract_canon_sha256":"c512d0b45ba592903bd42db2c0abec5411b6e3951b95af89ae9a1f63aa298cf0"},"schema_version":"1.0"},"canonical_sha256":"6d7e299c0e52c9a8b2ee8c830c7723f2ae39a3528c5a2ae2b7bcf3c366d6d15f","source":{"kind":"arxiv","id":"2501.09997","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09997","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09997v3","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09997","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_12","alias_value":"NV7CTHAOKLE2","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_16","alias_value":"NV7CTHAOKLE2RMXO","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_8","alias_value":"NV7CTHAO","created_at":"2026-07-05T12:03:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NV7CTHAOKLE2RMXORSBQY5ZD6K","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09997","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T07:30:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d7b0ae77b5e194681bf446f8895a7893c7fe4317d1eda17abbc8f11813653552","abstract_canon_sha256":"c512d0b45ba592903bd42db2c0abec5411b6e3951b95af89ae9a1f63aa298cf0"},"schema_version":"1.0"},"canonical_sha256":"6d7e299c0e52c9a8b2ee8c830c7723f2ae39a3528c5a2ae2b7bcf3c366d6d15f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:45.048454Z","signature_b64":"GI9MNY4VzUMWDmylQpuZ+fKFpDNx6+Cj9LLpeCSGYU3RJVMgrfoerUorkcQ1H1HNx6WVNZnziAaDBhHGUyWhDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d7e299c0e52c9a8b2ee8c830c7723f2ae39a3528c5a2ae2b7bcf3c366d6d15f","last_reissued_at":"2026-07-05T12:03:45.047931Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:45.047931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09997","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:03:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M+XONp+i6hwDybM8MpKBFlCbyCPx18oSLqz7exfBA0QB9jsCjLukEgmiRAYstD0hGvLFfq9VO84zcPRd2TXgBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:24:25.699976Z"},"content_sha256":"c2b402bdeec681578d72f18151cc4fb4e4a07fa8d73e9672bf89bbf46570dccd","schema_version":"1.0","event_id":"sha256:c2b402bdeec681578d72f18151cc4fb4e4a07fa8d73e9672bf89bbf46570dccd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NV7CTHAOKLE2RMXORSBQY5ZD6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bowen Song, Liang Wang, Qiang Liu, Shu Wu, Weiqiang Wang, Xinlong Chen, Yue Ding","submitted_at":"2025-01-17T07:30:01Z","abstract_excerpt":"Hallucination has emerged as a significant barrier to the effective application of Large Language Models (LLMs). In this work, we introduce a novel Attention-Guided SElf-Reflection (AGSER) approach for zero-shot hallucination detection in LLMs. The AGSER method utilizes attention contributions to categorize the input query into attentive and non-attentive queries. Each query is then processed separately through the LLMs, allowing us to compute consistency scores between the generated responses and the original answer. The difference between the two consistency scores serves as a hallucination "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09997","kind":"arxiv","version":3},"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/2501.09997/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":"2026-07-05T12:03:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WJ5AmxjlWVApO7WlOTBTisA9DaBvXWz0Em9w3OTDULxzuLbXKZMxH110VmaJqi0ZGLDfqdvcxFdWgRhbAkteAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:24:25.700882Z"},"content_sha256":"139f236661226904b47bf0f211b0ab9fd53a5e05f3b10a6dd4ec7a0c69055d15","schema_version":"1.0","event_id":"sha256:139f236661226904b47bf0f211b0ab9fd53a5e05f3b10a6dd4ec7a0c69055d15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/bundle.json","state_url":"https://pith.science/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/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":"2026-08-16T21:24:25Z","links":{"resolver":"https://pith.science/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K","bundle":"https://pith.science/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/bundle.json","state":"https://pith.science/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NV7CTHAOKLE2RMXORSBQY5ZD6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NV7CTHAOKLE2RMXORSBQY5ZD6K","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":"c512d0b45ba592903bd42db2c0abec5411b6e3951b95af89ae9a1f63aa298cf0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T07:30:01Z","title_canon_sha256":"d7b0ae77b5e194681bf446f8895a7893c7fe4317d1eda17abbc8f11813653552"},"schema_version":"1.0","source":{"id":"2501.09997","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09997","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09997v3","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09997","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_12","alias_value":"NV7CTHAOKLE2","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_16","alias_value":"NV7CTHAOKLE2RMXO","created_at":"2026-07-05T12:03:45Z"},{"alias_kind":"pith_short_8","alias_value":"NV7CTHAO","created_at":"2026-07-05T12:03:45Z"}],"graph_snapshots":[{"event_id":"sha256:139f236661226904b47bf0f211b0ab9fd53a5e05f3b10a6dd4ec7a0c69055d15","target":"graph","created_at":"2026-07-05T12:03:45Z","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/2501.09997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hallucination has emerged as a significant barrier to the effective application of Large Language Models (LLMs). In this work, we introduce a novel Attention-Guided SElf-Reflection (AGSER) approach for zero-shot hallucination detection in LLMs. The AGSER method utilizes attention contributions to categorize the input query into attentive and non-attentive queries. Each query is then processed separately through the LLMs, allowing us to compute consistency scores between the generated responses and the original answer. The difference between the two consistency scores serves as a hallucination ","authors_text":"Bowen Song, Liang Wang, Qiang Liu, Shu Wu, Weiqiang Wang, Xinlong Chen, Yue Ding","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T07:30:01Z","title":"Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09997","kind":"arxiv","version":3},"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:c2b402bdeec681578d72f18151cc4fb4e4a07fa8d73e9672bf89bbf46570dccd","target":"record","created_at":"2026-07-05T12:03:45Z","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":"c512d0b45ba592903bd42db2c0abec5411b6e3951b95af89ae9a1f63aa298cf0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T07:30:01Z","title_canon_sha256":"d7b0ae77b5e194681bf446f8895a7893c7fe4317d1eda17abbc8f11813653552"},"schema_version":"1.0","source":{"id":"2501.09997","kind":"arxiv","version":3}},"canonical_sha256":"6d7e299c0e52c9a8b2ee8c830c7723f2ae39a3528c5a2ae2b7bcf3c366d6d15f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d7e299c0e52c9a8b2ee8c830c7723f2ae39a3528c5a2ae2b7bcf3c366d6d15f","first_computed_at":"2026-07-05T12:03:45.047931Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:45.047931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GI9MNY4VzUMWDmylQpuZ+fKFpDNx6+Cj9LLpeCSGYU3RJVMgrfoerUorkcQ1H1HNx6WVNZnziAaDBhHGUyWhDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:45.048454Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09997","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2b402bdeec681578d72f18151cc4fb4e4a07fa8d73e9672bf89bbf46570dccd","sha256:139f236661226904b47bf0f211b0ab9fd53a5e05f3b10a6dd4ec7a0c69055d15"],"state_sha256":"5a1a42741adad9f7380a398e371de3fe96f6dcc3ff395efbb69967da27ffa5a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VcQi3pCzccanjaoco8e2R//KW/o4QsPl/U+YWJvQHG8tZgP4oFgy86vWV/ngYg8QNiYW7Sgez39Z/l1wBsrqBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T21:24:25.705532Z","bundle_sha256":"91473dc5c7fe5378fab2f621d775964b66e2bf37a6a70e7b298c4e805e80b322"}}