{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MHAKHLD3Y2C22VU7VONH3XWRJH","short_pith_number":"pith:MHAKHLD3","canonical_record":{"source":{"id":"2501.01306","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-02T15:36:50Z","cross_cats_sorted":[],"title_canon_sha256":"e115b95b597fecf64500bc6482917b6f22898bb60237448eb4989858d95c03c6","abstract_canon_sha256":"325bac5fb076a928ee7389b8a341fa854894614a1ab96bbea095f2da70891fe4"},"schema_version":"1.0"},"canonical_sha256":"61c0a3ac7bc685ad569fab9a7dded149db0e5d5ccc2439aa8ad08f02715f1011","source":{"kind":"arxiv","id":"2501.01306","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01306","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01306v2","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01306","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"MHAKHLD3Y2C2","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"MHAKHLD3Y2C22VU7","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"MHAKHLD3","created_at":"2026-07-05T09:56:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MHAKHLD3Y2C22VU7VONH3XWRJH","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01306","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-02T15:36:50Z","cross_cats_sorted":[],"title_canon_sha256":"e115b95b597fecf64500bc6482917b6f22898bb60237448eb4989858d95c03c6","abstract_canon_sha256":"325bac5fb076a928ee7389b8a341fa854894614a1ab96bbea095f2da70891fe4"},"schema_version":"1.0"},"canonical_sha256":"61c0a3ac7bc685ad569fab9a7dded149db0e5d5ccc2439aa8ad08f02715f1011","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:39.356236Z","signature_b64":"UZ/JXVfbXY8wIbnsH7zbiWdU85ASL0slEsC43yk6UKPPxLMkeldXv8iX6FXssNWlHaRbePMitmOdKjBnci8MDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61c0a3ac7bc685ad569fab9a7dded149db0e5d5ccc2439aa8ad08f02715f1011","last_reissued_at":"2026-07-05T09:56:39.355714Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:39.355714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01306","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":"2026-07-05T09:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nCp+nlvvZv8e/ucbf07BixrFWRfLHCsflx98uRkoCwNBzbtn/DI1rbn6keXBCGNW2NOlk8WXY20z5RkziI8iBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:29:54.154127Z"},"content_sha256":"8c96d123a09aefa57aa0cf6c9287146bc8352698c53a329c8ee39f002cc4ba9d","schema_version":"1.0","event_id":"sha256:8c96d123a09aefa57aa0cf6c9287146bc8352698c53a329c8ee39f002cc4ba9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MHAKHLD3Y2C22VU7VONH3XWRJH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ji-Rong Wen, Junyi Li, Wayne Xin Zhao, Xiaoxue Cheng","submitted_at":"2025-01-02T15:36:50Z","abstract_excerpt":"Large language models (LLMs) demonstrate exceptional capabilities, yet still face the hallucination issue. Typical text generation approaches adopt an auto-regressive generation without deliberate reasoning, which often results in untrustworthy and factually inaccurate responses. In this paper, we propose HaluSearch, a novel framework that incorporates tree search-based algorithms (e.g. MCTS) to enable an explicit slow thinking generation process for mitigating hallucinations of LLMs during inference. Specifically, HaluSearch frames text generation as a step-by-step reasoning process, using a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01306","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/2501.01306/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":"2026-07-05T09:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"52oL36e2Vuh48BxxJuL2bBuDchnXg5KxzMA9wus43x3wQSdmqaVD3WKj0s4IFF/oi0vR1ZWqnlWVNOZE6xtSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:29:54.154626Z"},"content_sha256":"44cb62a7c2282af3f376c2542ed5b30bbde5e3625448cc169d4c7dc98efe293c","schema_version":"1.0","event_id":"sha256:44cb62a7c2282af3f376c2542ed5b30bbde5e3625448cc169d4c7dc98efe293c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/bundle.json","state_url":"https://pith.science/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/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":"2026-08-06T05:29:54Z","links":{"resolver":"https://pith.science/pith/MHAKHLD3Y2C22VU7VONH3XWRJH","bundle":"https://pith.science/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/bundle.json","state":"https://pith.science/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MHAKHLD3Y2C22VU7VONH3XWRJH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MHAKHLD3Y2C22VU7VONH3XWRJH","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":"325bac5fb076a928ee7389b8a341fa854894614a1ab96bbea095f2da70891fe4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-02T15:36:50Z","title_canon_sha256":"e115b95b597fecf64500bc6482917b6f22898bb60237448eb4989858d95c03c6"},"schema_version":"1.0","source":{"id":"2501.01306","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01306","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01306v2","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01306","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"MHAKHLD3Y2C2","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"MHAKHLD3Y2C22VU7","created_at":"2026-07-05T09:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"MHAKHLD3","created_at":"2026-07-05T09:56:39Z"}],"graph_snapshots":[{"event_id":"sha256:44cb62a7c2282af3f376c2542ed5b30bbde5e3625448cc169d4c7dc98efe293c","target":"graph","created_at":"2026-07-05T09:56:39Z","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/2501.01306/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) demonstrate exceptional capabilities, yet still face the hallucination issue. Typical text generation approaches adopt an auto-regressive generation without deliberate reasoning, which often results in untrustworthy and factually inaccurate responses. In this paper, we propose HaluSearch, a novel framework that incorporates tree search-based algorithms (e.g. MCTS) to enable an explicit slow thinking generation process for mitigating hallucinations of LLMs during inference. Specifically, HaluSearch frames text generation as a step-by-step reasoning process, using a ","authors_text":"Ji-Rong Wen, Junyi Li, Wayne Xin Zhao, Xiaoxue Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-02T15:36:50Z","title":"Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01306","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":"sha256:8c96d123a09aefa57aa0cf6c9287146bc8352698c53a329c8ee39f002cc4ba9d","target":"record","created_at":"2026-07-05T09:56:39Z","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":"325bac5fb076a928ee7389b8a341fa854894614a1ab96bbea095f2da70891fe4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-02T15:36:50Z","title_canon_sha256":"e115b95b597fecf64500bc6482917b6f22898bb60237448eb4989858d95c03c6"},"schema_version":"1.0","source":{"id":"2501.01306","kind":"arxiv","version":2}},"canonical_sha256":"61c0a3ac7bc685ad569fab9a7dded149db0e5d5ccc2439aa8ad08f02715f1011","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61c0a3ac7bc685ad569fab9a7dded149db0e5d5ccc2439aa8ad08f02715f1011","first_computed_at":"2026-07-05T09:56:39.355714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:39.355714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UZ/JXVfbXY8wIbnsH7zbiWdU85ASL0slEsC43yk6UKPPxLMkeldXv8iX6FXssNWlHaRbePMitmOdKjBnci8MDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:39.356236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01306","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c96d123a09aefa57aa0cf6c9287146bc8352698c53a329c8ee39f002cc4ba9d","sha256:44cb62a7c2282af3f376c2542ed5b30bbde5e3625448cc169d4c7dc98efe293c"],"state_sha256":"0a7ae9c19919fe57db600a5c7d4ff18ae5af52f41881ceee5c302f53832ca661"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9MHkpY9bRbmipIm5daQYX8rEq+taW/zO+mAZ8YpDxELKSLMJI/wqhmRd14KmEn+obp0jH1+9Ar4E74FThns7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:29:54.159611Z","bundle_sha256":"457a66684ef38541d842a7ce0c4a85d8b0950d1a1fa3dcaf8956c5dea7f17507"}}