{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:R4EKPFHKZKEC42NCT4ZKPE3XTE","short_pith_number":"pith:R4EKPFHK","canonical_record":{"source":{"id":"2505.16806","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T15:45:29Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"44376b005206c68e968a51fde15b0427c41ab3ed204edb0cfe86ce7c24554dda","abstract_canon_sha256":"9b4e32d665507a5afb52f8df701a9c0b7723eabf8db98768951978da63fabf14"},"schema_version":"1.0"},"canonical_sha256":"8f08a794eaca882e69a29f32a79377991b47b694e35e168c3d7c5d1ef7532560","source":{"kind":"arxiv","id":"2505.16806","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16806","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16806v1","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16806","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_12","alias_value":"R4EKPFHKZKEC","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_16","alias_value":"R4EKPFHKZKEC42NC","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_8","alias_value":"R4EKPFHK","created_at":"2026-07-05T11:07:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:R4EKPFHKZKEC42NCT4ZKPE3XTE","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16806","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T15:45:29Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"44376b005206c68e968a51fde15b0427c41ab3ed204edb0cfe86ce7c24554dda","abstract_canon_sha256":"9b4e32d665507a5afb52f8df701a9c0b7723eabf8db98768951978da63fabf14"},"schema_version":"1.0"},"canonical_sha256":"8f08a794eaca882e69a29f32a79377991b47b694e35e168c3d7c5d1ef7532560","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:41.517472Z","signature_b64":"XIGWSNd0TEOrl+914WiMI39Uk4hw0ZETxgswTjJ76up8WwDaK+1q77sijHumRd+icPzG5oaOjKtdO9nmw+ccDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f08a794eaca882e69a29f32a79377991b47b694e35e168c3d7c5d1ef7532560","last_reissued_at":"2026-07-05T11:07:41.516963Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:41.516963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16806","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":"2026-07-05T11:07:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ReFElT4wpmh2rFrVfq26HuoGYYdv/gtOS2TSU4vEcJ8NmLeInuId76bTe9Im3hEOWtxm+huX9NaAosLOzfXbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:18:49.400052Z"},"content_sha256":"f2da7cd84938e75d868eaa4718f3ce6f63c946c5e064944c2ee47b822228d3f1","schema_version":"1.0","event_id":"sha256:f2da7cd84938e75d868eaa4718f3ce6f63c946c5e064944c2ee47b822228d3f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:R4EKPFHKZKEC42NCT4ZKPE3XTE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Bowen Deng, Daifeng Li, Junlan Chen, Kexin Zhang, Weixu Chen, Yangyang Feng, Yuxuan Zhang","submitted_at":"2025-05-22T15:45:29Z","abstract_excerpt":"Large language models (LLMs) encounter difficulties in knowledge-intensive multi-step reasoning (KIMSR) tasks. One challenge is how to effectively extract and represent rationale evidence. The current methods often extract semantically relevant but logically irrelevant evidence, resulting in flawed reasoning and inaccurate responses. We propose a two-way evidence self-alignment (TW-ESA) module, which utilizes the mutual alignment between strict reasoning and LLM reasoning to enhance its understanding of the causal logic of evidence, thereby addressing the first challenge. Another challenge is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16806","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/2505.16806/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":"2026-07-05T11:07:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uVbExaK8NlTQOKFxV02aL0hP2qTTf/utFbQSWUkGfK7dJOakbuBZdR+e3kJprOEKMPD/CLk6oxM+H5bZDv2SAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:18:49.400674Z"},"content_sha256":"8e00501ade3d34dd45e6da805ba3ceb99a62c55cb03c5659854ab88c2a61bce9","schema_version":"1.0","event_id":"sha256:8e00501ade3d34dd45e6da805ba3ceb99a62c55cb03c5659854ab88c2a61bce9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/bundle.json","state_url":"https://pith.science/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/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":"2026-08-10T06:18:49Z","links":{"resolver":"https://pith.science/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE","bundle":"https://pith.science/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/bundle.json","state":"https://pith.science/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R4EKPFHKZKEC42NCT4ZKPE3XTE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R4EKPFHKZKEC42NCT4ZKPE3XTE","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":"9b4e32d665507a5afb52f8df701a9c0b7723eabf8db98768951978da63fabf14","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T15:45:29Z","title_canon_sha256":"44376b005206c68e968a51fde15b0427c41ab3ed204edb0cfe86ce7c24554dda"},"schema_version":"1.0","source":{"id":"2505.16806","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16806","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16806v1","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16806","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_12","alias_value":"R4EKPFHKZKEC","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_16","alias_value":"R4EKPFHKZKEC42NC","created_at":"2026-07-05T11:07:41Z"},{"alias_kind":"pith_short_8","alias_value":"R4EKPFHK","created_at":"2026-07-05T11:07:41Z"}],"graph_snapshots":[{"event_id":"sha256:8e00501ade3d34dd45e6da805ba3ceb99a62c55cb03c5659854ab88c2a61bce9","target":"graph","created_at":"2026-07-05T11:07:41Z","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/2505.16806/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) encounter difficulties in knowledge-intensive multi-step reasoning (KIMSR) tasks. One challenge is how to effectively extract and represent rationale evidence. The current methods often extract semantically relevant but logically irrelevant evidence, resulting in flawed reasoning and inaccurate responses. We propose a two-way evidence self-alignment (TW-ESA) module, which utilizes the mutual alignment between strict reasoning and LLM reasoning to enhance its understanding of the causal logic of evidence, thereby addressing the first challenge. Another challenge is ","authors_text":"Bowen Deng, Daifeng Li, Junlan Chen, Kexin Zhang, Weixu Chen, Yangyang Feng, Yuxuan Zhang","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T15:45:29Z","title":"Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16806","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:f2da7cd84938e75d868eaa4718f3ce6f63c946c5e064944c2ee47b822228d3f1","target":"record","created_at":"2026-07-05T11:07:41Z","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":"9b4e32d665507a5afb52f8df701a9c0b7723eabf8db98768951978da63fabf14","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T15:45:29Z","title_canon_sha256":"44376b005206c68e968a51fde15b0427c41ab3ed204edb0cfe86ce7c24554dda"},"schema_version":"1.0","source":{"id":"2505.16806","kind":"arxiv","version":1}},"canonical_sha256":"8f08a794eaca882e69a29f32a79377991b47b694e35e168c3d7c5d1ef7532560","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f08a794eaca882e69a29f32a79377991b47b694e35e168c3d7c5d1ef7532560","first_computed_at":"2026-07-05T11:07:41.516963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:41.516963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XIGWSNd0TEOrl+914WiMI39Uk4hw0ZETxgswTjJ76up8WwDaK+1q77sijHumRd+icPzG5oaOjKtdO9nmw+ccDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:41.517472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16806","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2da7cd84938e75d868eaa4718f3ce6f63c946c5e064944c2ee47b822228d3f1","sha256:8e00501ade3d34dd45e6da805ba3ceb99a62c55cb03c5659854ab88c2a61bce9"],"state_sha256":"aaae433b1c2ccc5ebacd80a12bd0910bb8b30f3590655c63bc0fd76a5fb2cadd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QVIkgwgC79Q+pz+C3sw1DpDEZXRWLfK9Uu72d6Ttotn6tOvhZAbNFstn+OVUZz5lAwSEfa8lUBslNeyeig+fAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:18:49.406957Z","bundle_sha256":"1e46939b299ca30728fb9657c7fd14a6d631eaf2c636bba8174ae730592048ed"}}