{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UW7KPRYTBUHFDQD4CVF444HGU6","short_pith_number":"pith:UW7KPRYT","canonical_record":{"source":{"id":"2605.28120","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T08:13:11Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"cccef6316d7f87b6db77db11db61e50010fd71f9480988fcd372df3e3298b41b","abstract_canon_sha256":"9430950ba8897e6caa6ae6f9044cf215adac8faa26f8656c0fbcaf870fde4220"},"schema_version":"1.0"},"canonical_sha256":"a5bea7c7130d0e51c07c154bce70e6a7a193946d64f33d78f6f6ff9be9411ba9","source":{"kind":"arxiv","id":"2605.28120","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28120","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28120v1","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28120","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"UW7KPRYTBUHF","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"UW7KPRYTBUHFDQD4","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"UW7KPRYT","created_at":"2026-05-28T01:04:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UW7KPRYTBUHFDQD4CVF444HGU6","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28120","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T08:13:11Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"cccef6316d7f87b6db77db11db61e50010fd71f9480988fcd372df3e3298b41b","abstract_canon_sha256":"9430950ba8897e6caa6ae6f9044cf215adac8faa26f8656c0fbcaf870fde4220"},"schema_version":"1.0"},"canonical_sha256":"a5bea7c7130d0e51c07c154bce70e6a7a193946d64f33d78f6f6ff9be9411ba9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:59.587505Z","signature_b64":"4FemChcguuqm7YAIX+k1Z3wIkbWZWRfBBbyVTyVMWVn9RM0WLXBOngrsWAScnHolnrhGHIPtE4rA/q/V7VaWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5bea7c7130d0e51c07c154bce70e6a7a193946d64f33d78f6f6ff9be9411ba9","last_reissued_at":"2026-05-28T01:04:59.586748Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:59.586748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28120","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":"2026-05-28T01:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jMjwH+9MP9/+Ijrblf6puitSTiZ0fwbRH6aZU5aRr4Um1N1Ti5f3Gvs4MMx28PL6aVrOvGNdAdYm4X0oRKZVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T20:41:23.408179Z"},"content_sha256":"dd5e3dc119a5a058f08e86ff3c43bdd714d6d8c48588c73ee55f8a278ff70c17","schema_version":"1.0","event_id":"sha256:dd5e3dc119a5a058f08e86ff3c43bdd714d6d8c48588c73ee55f8a278ff70c17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UW7KPRYTBUHFDQD4CVF444HGU6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA"],"primary_cat":"cs.CL","authors_text":"Jinsong Su, Linfeng Gao, Qinggang Zhang, Xiao Huang, Zerui Chen, Zhihong Zhang, Zhimin Wei, Zhishang Xiang","submitted_at":"2026-05-27T08:13:11Z","abstract_excerpt":"Graph-based Retrieval-Augmented Generation (GraphRAG) advances flat document retrieval by structuring knowledge as relational graphs, enabling more coherent and effective reasoning. However, applying it to specific domains like legal reasoning faces critical challenges. (i) Legal corpora are heterogeneous, containing multi-granular knowledge from cases, articles and interpretations. A flat knowledge graph cannot adequately differentiate between factual details, applied rules, and abstract principles, limiting accurate retrieval. (ii) Reliable legal judgment demands transparent, evidence-based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28120","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/2605.28120/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":"2026-05-28T01:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oB2P3vwYOB7bb4h+Bb7zy+KqJTlQDC8csEPMw1MHvp95VGgVO+nCAyb/uZW1Ot2r02QaL7CzIt7QqAB8OzJyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T20:41:23.408575Z"},"content_sha256":"d86ae172bb92ec2a585582834d6e34806362c88575303ee549ba2bde06e16ea5","schema_version":"1.0","event_id":"sha256:d86ae172bb92ec2a585582834d6e34806362c88575303ee549ba2bde06e16ea5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UW7KPRYTBUHFDQD4CVF444HGU6/bundle.json","state_url":"https://pith.science/pith/UW7KPRYTBUHFDQD4CVF444HGU6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UW7KPRYTBUHFDQD4CVF444HGU6/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":"2026-06-29T20:41:23Z","links":{"resolver":"https://pith.science/pith/UW7KPRYTBUHFDQD4CVF444HGU6","bundle":"https://pith.science/pith/UW7KPRYTBUHFDQD4CVF444HGU6/bundle.json","state":"https://pith.science/pith/UW7KPRYTBUHFDQD4CVF444HGU6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UW7KPRYTBUHFDQD4CVF444HGU6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UW7KPRYTBUHFDQD4CVF444HGU6","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":"9430950ba8897e6caa6ae6f9044cf215adac8faa26f8656c0fbcaf870fde4220","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T08:13:11Z","title_canon_sha256":"cccef6316d7f87b6db77db11db61e50010fd71f9480988fcd372df3e3298b41b"},"schema_version":"1.0","source":{"id":"2605.28120","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28120","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28120v1","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28120","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"UW7KPRYTBUHF","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"UW7KPRYTBUHFDQD4","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"UW7KPRYT","created_at":"2026-05-28T01:04:59Z"}],"graph_snapshots":[{"event_id":"sha256:d86ae172bb92ec2a585582834d6e34806362c88575303ee549ba2bde06e16ea5","target":"graph","created_at":"2026-05-28T01:04:59Z","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/2605.28120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph-based Retrieval-Augmented Generation (GraphRAG) advances flat document retrieval by structuring knowledge as relational graphs, enabling more coherent and effective reasoning. However, applying it to specific domains like legal reasoning faces critical challenges. (i) Legal corpora are heterogeneous, containing multi-granular knowledge from cases, articles and interpretations. A flat knowledge graph cannot adequately differentiate between factual details, applied rules, and abstract principles, limiting accurate retrieval. (ii) Reliable legal judgment demands transparent, evidence-based ","authors_text":"Jinsong Su, Linfeng Gao, Qinggang Zhang, Xiao Huang, Zerui Chen, Zhihong Zhang, Zhimin Wei, Zhishang Xiang","cross_cats":["cs.AI","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T08:13:11Z","title":"LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28120","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:dd5e3dc119a5a058f08e86ff3c43bdd714d6d8c48588c73ee55f8a278ff70c17","target":"record","created_at":"2026-05-28T01:04:59Z","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":"9430950ba8897e6caa6ae6f9044cf215adac8faa26f8656c0fbcaf870fde4220","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T08:13:11Z","title_canon_sha256":"cccef6316d7f87b6db77db11db61e50010fd71f9480988fcd372df3e3298b41b"},"schema_version":"1.0","source":{"id":"2605.28120","kind":"arxiv","version":1}},"canonical_sha256":"a5bea7c7130d0e51c07c154bce70e6a7a193946d64f33d78f6f6ff9be9411ba9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5bea7c7130d0e51c07c154bce70e6a7a193946d64f33d78f6f6ff9be9411ba9","first_computed_at":"2026-05-28T01:04:59.586748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:59.586748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4FemChcguuqm7YAIX+k1Z3wIkbWZWRfBBbyVTyVMWVn9RM0WLXBOngrsWAScnHolnrhGHIPtE4rA/q/V7VaWCA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:59.587505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28120","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd5e3dc119a5a058f08e86ff3c43bdd714d6d8c48588c73ee55f8a278ff70c17","sha256:d86ae172bb92ec2a585582834d6e34806362c88575303ee549ba2bde06e16ea5"],"state_sha256":"ee2f79f32c5a2dde75f85f7312977d619dd12c5174b1fad2325a79cc6b7f3ed8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a3Ub/FAZTXlku0+Bnv1mRWJaTA1q+oEm14lzvpFKqYuSPhDG4n5o4w75Mc5QBcd+RNXnijLQ6M3PnuJUhgD0BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T20:41:23.410506Z","bundle_sha256":"c45a01206787cb9ff7a429a242cc92cc459b681a2c0e9251436cc8b92011b45f"}}