{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4ZHLW63NKT7E3G2YDS72VIWTJI","short_pith_number":"pith:4ZHLW63N","canonical_record":{"source":{"id":"2403.08593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T14:59:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1d5323eb126117ec3c0cdf61a4591824ef359ebe281de3021364be3a2bea94da","abstract_canon_sha256":"00ca71607b745da88271e5af7eed6a5c3cb346702c7b19a7bf47c808bcd22105"},"schema_version":"1.0"},"canonical_sha256":"e64ebb7b6d54fe4d9b581cbfaaa2d34a3c2082c1e1325674ac6d8776fcbc0fe8","source":{"kind":"arxiv","id":"2403.08593","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08593","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08593v2","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08593","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_12","alias_value":"4ZHLW63NKT7E","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_16","alias_value":"4ZHLW63NKT7E3G2Y","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_8","alias_value":"4ZHLW63N","created_at":"2026-07-05T08:39:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4ZHLW63NKT7E3G2YDS72VIWTJI","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T14:59:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1d5323eb126117ec3c0cdf61a4591824ef359ebe281de3021364be3a2bea94da","abstract_canon_sha256":"00ca71607b745da88271e5af7eed6a5c3cb346702c7b19a7bf47c808bcd22105"},"schema_version":"1.0"},"canonical_sha256":"e64ebb7b6d54fe4d9b581cbfaaa2d34a3c2082c1e1325674ac6d8776fcbc0fe8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:39:32.008115Z","signature_b64":"6i78/1tSiWvmU08KD7isud2Qynsx1bf5Xub8Xa0S8Mrp7mcfg7bwCtj4VfDQf7phk7Vt9b9IVqYXviiQT7LdBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e64ebb7b6d54fe4d9b581cbfaaa2d34a3c2082c1e1325674ac6d8776fcbc0fe8","last_reissued_at":"2026-07-05T08:39:32.007694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:39:32.007694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08593","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":"2026-07-05T08:39:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D7jOLH/dNtaVVbZ9rRnbI81QZK86MJDwiEIr0e2zgZZYrMvcgqR4Nq8M6mZHGV7LEDNYNLcwHmNTzt87EAImDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:16:14.571452Z"},"content_sha256":"7cf6b1498a1355914bb450628573a968736a6ddbce79ea443506f304aab56d52","schema_version":"1.0","event_id":"sha256:7cf6b1498a1355914bb450628573a968736a6ddbce79ea443506f304aab56d52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4ZHLW63NKT7E3G2YDS72VIWTJI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chaoyun Zhang, Dongmei Zhang, Fangkai Yang, Ling Chen, Qingwei Lin, Qi Zhang, Saravan Rajmohan, Sitao Cheng, Xiang Huang, Xiaoting Qin, Yong Xu, Ziyuan Zhuang","submitted_at":"2024-03-13T14:59:07Z","abstract_excerpt":"Large Language Models (LLMs) have shown potential in reasoning over structured environments, e.g., knowledge graph and table. Such tasks typically require multi-hop reasoning, i.e., match natural language utterance with instances in the environment. Previous methods leverage LLMs to incrementally build a reasoning path, where the LLMs either invoke tools or pick up schemas by step-by-step interacting with the environment. We propose Reasoning-Path-Editing (Readi), a novel framework where LLMs can efficiently and faithfully reason over structured environments. In Readi, LLMs initially generate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08593","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/2403.08593/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":"2026-07-05T08:39:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DveeaMdSK5w9EHlFcO0H65xRSf/9FxuPMMQxTJGE80NnhLYBZfP2xTZoKjC/gaAX7fQYbA7JRAmt0CFv+qAWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:16:14.571786Z"},"content_sha256":"0b63a3210b022c01d75bb078de7b47a08c895116f4c00831523cfb620de556b1","schema_version":"1.0","event_id":"sha256:0b63a3210b022c01d75bb078de7b47a08c895116f4c00831523cfb620de556b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/bundle.json","state_url":"https://pith.science/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/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":"2026-08-14T09:16:14Z","links":{"resolver":"https://pith.science/pith/4ZHLW63NKT7E3G2YDS72VIWTJI","bundle":"https://pith.science/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/bundle.json","state":"https://pith.science/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ZHLW63NKT7E3G2YDS72VIWTJI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4ZHLW63NKT7E3G2YDS72VIWTJI","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":"00ca71607b745da88271e5af7eed6a5c3cb346702c7b19a7bf47c808bcd22105","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T14:59:07Z","title_canon_sha256":"1d5323eb126117ec3c0cdf61a4591824ef359ebe281de3021364be3a2bea94da"},"schema_version":"1.0","source":{"id":"2403.08593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08593","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08593v2","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08593","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_12","alias_value":"4ZHLW63NKT7E","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_16","alias_value":"4ZHLW63NKT7E3G2Y","created_at":"2026-07-05T08:39:32Z"},{"alias_kind":"pith_short_8","alias_value":"4ZHLW63N","created_at":"2026-07-05T08:39:32Z"}],"graph_snapshots":[{"event_id":"sha256:0b63a3210b022c01d75bb078de7b47a08c895116f4c00831523cfb620de556b1","target":"graph","created_at":"2026-07-05T08:39:32Z","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/2403.08593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown potential in reasoning over structured environments, e.g., knowledge graph and table. Such tasks typically require multi-hop reasoning, i.e., match natural language utterance with instances in the environment. Previous methods leverage LLMs to incrementally build a reasoning path, where the LLMs either invoke tools or pick up schemas by step-by-step interacting with the environment. We propose Reasoning-Path-Editing (Readi), a novel framework where LLMs can efficiently and faithfully reason over structured environments. In Readi, LLMs initially generate ","authors_text":"Chaoyun Zhang, Dongmei Zhang, Fangkai Yang, Ling Chen, Qingwei Lin, Qi Zhang, Saravan Rajmohan, Sitao Cheng, Xiang Huang, Xiaoting Qin, Yong Xu, Ziyuan Zhuang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T14:59:07Z","title":"Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08593","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":"sha256:7cf6b1498a1355914bb450628573a968736a6ddbce79ea443506f304aab56d52","target":"record","created_at":"2026-07-05T08:39:32Z","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":"00ca71607b745da88271e5af7eed6a5c3cb346702c7b19a7bf47c808bcd22105","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T14:59:07Z","title_canon_sha256":"1d5323eb126117ec3c0cdf61a4591824ef359ebe281de3021364be3a2bea94da"},"schema_version":"1.0","source":{"id":"2403.08593","kind":"arxiv","version":2}},"canonical_sha256":"e64ebb7b6d54fe4d9b581cbfaaa2d34a3c2082c1e1325674ac6d8776fcbc0fe8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e64ebb7b6d54fe4d9b581cbfaaa2d34a3c2082c1e1325674ac6d8776fcbc0fe8","first_computed_at":"2026-07-05T08:39:32.007694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:32.007694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6i78/1tSiWvmU08KD7isud2Qynsx1bf5Xub8Xa0S8Mrp7mcfg7bwCtj4VfDQf7phk7Vt9b9IVqYXviiQT7LdBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:32.008115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cf6b1498a1355914bb450628573a968736a6ddbce79ea443506f304aab56d52","sha256:0b63a3210b022c01d75bb078de7b47a08c895116f4c00831523cfb620de556b1"],"state_sha256":"235e4fab1c4ab3f184b14400a812652139c98e6659796a671451bd3ecd6c4a81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k8QjP/Nwd/qj97clMQE75QNlblwu2frmplkQuinocSHfNnSXn/4rNcc5/wtaEagbKQbR0W3rJ1oGdyl7TMixBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T09:16:14.574613Z","bundle_sha256":"7ce648671ca38ef41722683ed60f113f5f4f9b59a8d6d96a4fea70f19f1af0f9"}}