{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PDRLX4J46KGZMFYEVFUTC6VDFR","short_pith_number":"pith:PDRLX4J4","canonical_record":{"source":{"id":"2603.25152","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-26T08:13:43Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"dde3636296898161b7f04c7ee7a064340ade26f3f186fea910ae3d2dee64af95","abstract_canon_sha256":"a026422921602a0a2fb9d50fccd2a29b06c1fbcc5006eaf9ad97b0907bc40e3c"},"schema_version":"1.0"},"canonical_sha256":"78e2bbf13cf28d961704a969317aa32c7a4af87cb0cac97428c7a57df6d4dff0","source":{"kind":"arxiv","id":"2603.25152","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.25152","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2603.25152v3","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.25152","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"PDRLX4J46KGZ","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"PDRLX4J46KGZMFYE","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"PDRLX4J4","created_at":"2026-05-27T01:04:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PDRLX4J46KGZMFYEVFUTC6VDFR","target":"record","payload":{"canonical_record":{"source":{"id":"2603.25152","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-26T08:13:43Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"dde3636296898161b7f04c7ee7a064340ade26f3f186fea910ae3d2dee64af95","abstract_canon_sha256":"a026422921602a0a2fb9d50fccd2a29b06c1fbcc5006eaf9ad97b0907bc40e3c"},"schema_version":"1.0"},"canonical_sha256":"78e2bbf13cf28d961704a969317aa32c7a4af87cb0cac97428c7a57df6d4dff0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:04:57.382062Z","signature_b64":"UBgNiiorhIUD1IfcYflx9VoF1Yq02I1pwm5ZQ7MQZRQfWJtMc7e11NQgPECubXsioJq5bvnpyyk9eVU98BZMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78e2bbf13cf28d961704a969317aa32c7a4af87cb0cac97428c7a57df6d4dff0","last_reissued_at":"2026-05-27T01:04:57.381498Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:04:57.381498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.25152","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-27T01:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLZgt68Ozr0UcgPDPImI17srBvpL7MpmHweJzNd41Jd7DrbaxUM6qKkDM7u8bwrXi/IBfWkDslp/RXttLX6SAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T07:05:10.417917Z"},"content_sha256":"ff4ceba56c23d4525bdab62228f30f092840a86777c27b158809673d2dd3f08d","schema_version":"1.0","event_id":"sha256:ff4ceba56c23d4525bdab62228f30f092840a86777c27b158809673d2dd3f08d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PDRLX4J46KGZMFYEVFUTC6VDFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.AI","authors_text":"Honghua Huang, Jianhui Su, Jie Wang, Shiguo Lian, Wen Liu, Xi Ge","submitted_at":"2026-03-26T08:13:43Z","abstract_excerpt":"Retrieval-Augmented Generation (RAG) systems face significant challenges in complex reasoning, multi-hop queries, and domain-specific QA. While existing GraphRAG frameworks have made progress in structural knowledge organization, they still have limitations in knowledge extraction precision, community report integrity, and retrieval performance. This paper proposes OMD-GraphRAG, an enhanced framework built upon open-source GraphRAG. The framework introduces three core innovations: (1) Ontology-Guided Knowledge Extraction that uses predefined Schema to guide LLMs in accurately identifying domai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.25152","kind":"arxiv","version":3},"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/2603.25152/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":"2026-05-27T01:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qipKwMzBCj+XXqhQeQNix0+uu29fL1WW1HymkgeEktRd2Hc8qUPleCNiaz2NrTZrX6DdqTjZdA+ATQfG/+z0CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T07:05:10.418436Z"},"content_sha256":"856a632c9adc61309046646ac32ee91d9484f6c9d8358c6daddf24af7e475492","schema_version":"1.0","event_id":"sha256:856a632c9adc61309046646ac32ee91d9484f6c9d8358c6daddf24af7e475492"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/bundle.json","state_url":"https://pith.science/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/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":"2026-08-02T07:05:10Z","links":{"resolver":"https://pith.science/pith/PDRLX4J46KGZMFYEVFUTC6VDFR","bundle":"https://pith.science/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/bundle.json","state":"https://pith.science/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PDRLX4J46KGZMFYEVFUTC6VDFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PDRLX4J46KGZMFYEVFUTC6VDFR","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":"a026422921602a0a2fb9d50fccd2a29b06c1fbcc5006eaf9ad97b0907bc40e3c","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-26T08:13:43Z","title_canon_sha256":"dde3636296898161b7f04c7ee7a064340ade26f3f186fea910ae3d2dee64af95"},"schema_version":"1.0","source":{"id":"2603.25152","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.25152","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2603.25152v3","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.25152","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"PDRLX4J46KGZ","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"PDRLX4J46KGZMFYE","created_at":"2026-05-27T01:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"PDRLX4J4","created_at":"2026-05-27T01:04:57Z"}],"graph_snapshots":[{"event_id":"sha256:856a632c9adc61309046646ac32ee91d9484f6c9d8358c6daddf24af7e475492","target":"graph","created_at":"2026-05-27T01:04:57Z","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/2603.25152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Generation (RAG) systems face significant challenges in complex reasoning, multi-hop queries, and domain-specific QA. While existing GraphRAG frameworks have made progress in structural knowledge organization, they still have limitations in knowledge extraction precision, community report integrity, and retrieval performance. This paper proposes OMD-GraphRAG, an enhanced framework built upon open-source GraphRAG. The framework introduces three core innovations: (1) Ontology-Guided Knowledge Extraction that uses predefined Schema to guide LLMs in accurately identifying domai","authors_text":"Honghua Huang, Jianhui Su, Jie Wang, Shiguo Lian, Wen Liu, Xi Ge","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-26T08:13:43Z","title":"OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.25152","kind":"arxiv","version":3},"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:ff4ceba56c23d4525bdab62228f30f092840a86777c27b158809673d2dd3f08d","target":"record","created_at":"2026-05-27T01:04:57Z","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":"a026422921602a0a2fb9d50fccd2a29b06c1fbcc5006eaf9ad97b0907bc40e3c","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-03-26T08:13:43Z","title_canon_sha256":"dde3636296898161b7f04c7ee7a064340ade26f3f186fea910ae3d2dee64af95"},"schema_version":"1.0","source":{"id":"2603.25152","kind":"arxiv","version":3}},"canonical_sha256":"78e2bbf13cf28d961704a969317aa32c7a4af87cb0cac97428c7a57df6d4dff0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78e2bbf13cf28d961704a969317aa32c7a4af87cb0cac97428c7a57df6d4dff0","first_computed_at":"2026-05-27T01:04:57.381498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:04:57.381498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UBgNiiorhIUD1IfcYflx9VoF1Yq02I1pwm5ZQ7MQZRQfWJtMc7e11NQgPECubXsioJq5bvnpyyk9eVU98BZMAg==","signature_status":"signed_v1","signed_at":"2026-05-27T01:04:57.382062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.25152","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff4ceba56c23d4525bdab62228f30f092840a86777c27b158809673d2dd3f08d","sha256:856a632c9adc61309046646ac32ee91d9484f6c9d8358c6daddf24af7e475492"],"state_sha256":"c71304c413c5704d33a18b3208f467f5e296985ede48e4a61bde9aaf31dd790a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wu81pCYo2tGZTxoBra/XV1/h6ihocfM47/Rnwx8BV4P2uo6/kzLUHcZHszK1/BnzVZ14a4REXyOKSs+tgOc3Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T07:05:10.423834Z","bundle_sha256":"83d827e13889625665a58f52767aea63709a6eb569440536f256d05845f305b0"}}