{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:F4APEI3PBBGONKGZA5SDP63HNQ","short_pith_number":"pith:F4APEI3P","canonical_record":{"source":{"id":"2505.19410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T01:59:00Z","cross_cats_sorted":[],"title_canon_sha256":"d3c218d126be722851d08232799e971190a659827e398c3d6282eb7d29d2a8a9","abstract_canon_sha256":"463897d561f066bcded313a7036f0ff72180f1be39f3bcdae06c5051a6136a61"},"schema_version":"1.0"},"canonical_sha256":"2f00f2236f084ce6a8d9076437fb676c3d928ad9b46ec200803c6e0e67d07b70","source":{"kind":"arxiv","id":"2505.19410","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19410","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19410v1","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19410","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_12","alias_value":"F4APEI3PBBGO","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_16","alias_value":"F4APEI3PBBGONKGZ","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_8","alias_value":"F4APEI3P","created_at":"2026-07-05T11:09:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:F4APEI3PBBGONKGZA5SDP63HNQ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T01:59:00Z","cross_cats_sorted":[],"title_canon_sha256":"d3c218d126be722851d08232799e971190a659827e398c3d6282eb7d29d2a8a9","abstract_canon_sha256":"463897d561f066bcded313a7036f0ff72180f1be39f3bcdae06c5051a6136a61"},"schema_version":"1.0"},"canonical_sha256":"2f00f2236f084ce6a8d9076437fb676c3d928ad9b46ec200803c6e0e67d07b70","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:29.881490Z","signature_b64":"wTxPAB7sfK6j5TQ9N7tLsBC+Z/Tt/fXypqphhpN+1JnTFGwohgXIJZBYexnF949FVSuntYd7k/CD+YZSnK1EDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f00f2236f084ce6a8d9076437fb676c3d928ad9b46ec200803c6e0e67d07b70","last_reissued_at":"2026-07-05T11:09:29.881030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:29.881030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19410","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":"2026-07-05T11:09:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/0Etn65NOjimBkp14w/XmqtXoO2ZBVXjqCglSrrSNdmJEjObcrmE2TohQSVP3Sohgop1ehnqjLZvytGWGZrXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:44:54.282375Z"},"content_sha256":"6ea3711f0de89c2e70af225a164f3893ed18ba609d8ee1ee51bb85be82ef6a55","schema_version":"1.0","event_id":"sha256:6ea3711f0de89c2e70af225a164f3893ed18ba609d8ee1ee51bb85be82ef6a55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:F4APEI3PBBGONKGZA5SDP63HNQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiajun Zhu, Kai Zhang, Meikai Bao, Qi Liu, Yanghai Zhang, Ye Liu","submitted_at":"2025-05-26T01:59:00Z","abstract_excerpt":"Recently, large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, yet they remain prone to hallucinations when reasoning with insufficient internal knowledge. While integrating LLMs with knowledge graphs (KGs) provides access to structured, verifiable information, existing approaches often generate incomplete or factually inconsistent reasoning paths. To this end, we propose Self-Reflective Planning (SRP), a framework that synergizes LLMs with KGs through iterative, reference-guided reasoning. Specifically, given a question and topic entitie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19410","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/2505.19410/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":"2026-07-05T11:09:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6vY3PqP/8nQbaZL+9HXLe+MjdV9aXcbP1yLcbYiXqH1SZnErqesIsLWD9ME0t2ProlbunDARmKRERwWASp8DAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:44:54.282858Z"},"content_sha256":"72d1d2a83b84a188e5fe0d61d152084102c20a792cba2fcc58e5d7aefaccf5b6","schema_version":"1.0","event_id":"sha256:72d1d2a83b84a188e5fe0d61d152084102c20a792cba2fcc58e5d7aefaccf5b6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4APEI3PBBGONKGZA5SDP63HNQ/bundle.json","state_url":"https://pith.science/pith/F4APEI3PBBGONKGZA5SDP63HNQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4APEI3PBBGONKGZA5SDP63HNQ/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":"2026-08-09T03:44:54Z","links":{"resolver":"https://pith.science/pith/F4APEI3PBBGONKGZA5SDP63HNQ","bundle":"https://pith.science/pith/F4APEI3PBBGONKGZA5SDP63HNQ/bundle.json","state":"https://pith.science/pith/F4APEI3PBBGONKGZA5SDP63HNQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4APEI3PBBGONKGZA5SDP63HNQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:F4APEI3PBBGONKGZA5SDP63HNQ","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":"463897d561f066bcded313a7036f0ff72180f1be39f3bcdae06c5051a6136a61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T01:59:00Z","title_canon_sha256":"d3c218d126be722851d08232799e971190a659827e398c3d6282eb7d29d2a8a9"},"schema_version":"1.0","source":{"id":"2505.19410","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19410","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19410v1","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19410","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_12","alias_value":"F4APEI3PBBGO","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_16","alias_value":"F4APEI3PBBGONKGZ","created_at":"2026-07-05T11:09:29Z"},{"alias_kind":"pith_short_8","alias_value":"F4APEI3P","created_at":"2026-07-05T11:09:29Z"}],"graph_snapshots":[{"event_id":"sha256:72d1d2a83b84a188e5fe0d61d152084102c20a792cba2fcc58e5d7aefaccf5b6","target":"graph","created_at":"2026-07-05T11:09:29Z","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/2505.19410/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, yet they remain prone to hallucinations when reasoning with insufficient internal knowledge. While integrating LLMs with knowledge graphs (KGs) provides access to structured, verifiable information, existing approaches often generate incomplete or factually inconsistent reasoning paths. To this end, we propose Self-Reflective Planning (SRP), a framework that synergizes LLMs with KGs through iterative, reference-guided reasoning. Specifically, given a question and topic entitie","authors_text":"Jiajun Zhu, Kai Zhang, Meikai Bao, Qi Liu, Yanghai Zhang, Ye Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T01:59:00Z","title":"Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19410","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":"sha256:6ea3711f0de89c2e70af225a164f3893ed18ba609d8ee1ee51bb85be82ef6a55","target":"record","created_at":"2026-07-05T11:09:29Z","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":"463897d561f066bcded313a7036f0ff72180f1be39f3bcdae06c5051a6136a61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T01:59:00Z","title_canon_sha256":"d3c218d126be722851d08232799e971190a659827e398c3d6282eb7d29d2a8a9"},"schema_version":"1.0","source":{"id":"2505.19410","kind":"arxiv","version":1}},"canonical_sha256":"2f00f2236f084ce6a8d9076437fb676c3d928ad9b46ec200803c6e0e67d07b70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f00f2236f084ce6a8d9076437fb676c3d928ad9b46ec200803c6e0e67d07b70","first_computed_at":"2026-07-05T11:09:29.881030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:29.881030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wTxPAB7sfK6j5TQ9N7tLsBC+Z/Tt/fXypqphhpN+1JnTFGwohgXIJZBYexnF949FVSuntYd7k/CD+YZSnK1EDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:29.881490Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19410","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ea3711f0de89c2e70af225a164f3893ed18ba609d8ee1ee51bb85be82ef6a55","sha256:72d1d2a83b84a188e5fe0d61d152084102c20a792cba2fcc58e5d7aefaccf5b6"],"state_sha256":"484d9849d8b3159204834f94506e15a768d4d73ea9e9bfcd0bd7416e64499cd4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dO0ITMR7bTlV6FGpnf3ORiuhcWlvQZJeDIcWgyvJmZMfv1zvWyRMrT5Mv22pSo9DCn94LlFp60kms5DmLTvYCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:44:54.286263Z","bundle_sha256":"7be354e8778e360d71eb26f1e96632daefdf584dd5d4d71be6f0b79f6848ef61"}}