{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QGBPJY32VX6YXYD4RXVUQBH76B","short_pith_number":"pith:QGBPJY32","canonical_record":{"source":{"id":"2503.23205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T20:04:50Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"d5d8016455ab0d85cd70bc0ddc8ba2b843c67809e0ef910922364933830de938","abstract_canon_sha256":"57de27a206d73431fb554e4c35920cda0566f4a512a8a303d257f1f2d634bb68"},"schema_version":"1.0"},"canonical_sha256":"8182f4e37aadfd8be07c8deb4804fff0479163705944c70bee9877c86467c506","source":{"kind":"arxiv","id":"2503.23205","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23205","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23205v1","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23205","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_12","alias_value":"QGBPJY32VX6Y","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_16","alias_value":"QGBPJY32VX6YXYD4","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_8","alias_value":"QGBPJY32","created_at":"2026-07-05T10:41:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QGBPJY32VX6YXYD4RXVUQBH76B","target":"record","payload":{"canonical_record":{"source":{"id":"2503.23205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T20:04:50Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"d5d8016455ab0d85cd70bc0ddc8ba2b843c67809e0ef910922364933830de938","abstract_canon_sha256":"57de27a206d73431fb554e4c35920cda0566f4a512a8a303d257f1f2d634bb68"},"schema_version":"1.0"},"canonical_sha256":"8182f4e37aadfd8be07c8deb4804fff0479163705944c70bee9877c86467c506","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:41:32.243122Z","signature_b64":"BUOSLf0sAt4f+oSSKgz137Al9Rq3Y1e5oOroptqYcfQguABnoJolYXKic4GNyWlZFoGwJ2f+8u68odH/Z0NkAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8182f4e37aadfd8be07c8deb4804fff0479163705944c70bee9877c86467c506","last_reissued_at":"2026-07-05T10:41:32.242650Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:41:32.242650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.23205","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":"2026-07-05T10:41:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xNdyvVeD8rQAVcEqdRZeEwlP1eClUly/IcNikFrL3NkkYLz+AVFJF9vu5S+1Z/0x/CwP+LzuZMW4iN8WkAKhCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:12:58.013626Z"},"content_sha256":"61546aafcdc348ea598b182514aa4bff246dcf9e014030a478ca4e651fe89b8e","schema_version":"1.0","event_id":"sha256:61546aafcdc348ea598b182514aa4bff246dcf9e014030a478ca4e651fe89b8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QGBPJY32VX6YXYD4RXVUQBH76B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DB"],"primary_cat":"cs.CL","authors_text":"Aoran Gan, Jianfang Chen, Kai Zhang, Qi Liu, Shiwei Tong, Shuanghong Shen","submitted_at":"2025-03-29T20:04:50Z","abstract_excerpt":"Knowledge Graph Completion (KGC) aims to infer missing information in Knowledge Graphs (KGs) to address their inherent incompleteness. Traditional structure-based KGC methods, while effective, face significant computational demands and scalability challenges due to the need for dense embedding learning and scoring all entities in the KG for each prediction. Recent text-based approaches using language models like T5 and BERT have mitigated these issues by converting KG triples into text for reasoning. However, they often fail to fully utilize contextual information, focusing mainly on the neigh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23205","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/2503.23205/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":"2026-07-05T10:41:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jBuVMQh98xEJpWwh8sJkJkkmVDhTm3euuAnnxufaBqz+wn3pRhkOknlZiB8G64OcNAOXMXVmGHCqqMxh/9yGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:12:58.014140Z"},"content_sha256":"88fe52dbef54f5cc788cf594b64310de761a2b7c67d5082589b3c22f30379c73","schema_version":"1.0","event_id":"sha256:88fe52dbef54f5cc788cf594b64310de761a2b7c67d5082589b3c22f30379c73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QGBPJY32VX6YXYD4RXVUQBH76B/bundle.json","state_url":"https://pith.science/pith/QGBPJY32VX6YXYD4RXVUQBH76B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QGBPJY32VX6YXYD4RXVUQBH76B/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":"2026-08-22T16:12:58Z","links":{"resolver":"https://pith.science/pith/QGBPJY32VX6YXYD4RXVUQBH76B","bundle":"https://pith.science/pith/QGBPJY32VX6YXYD4RXVUQBH76B/bundle.json","state":"https://pith.science/pith/QGBPJY32VX6YXYD4RXVUQBH76B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QGBPJY32VX6YXYD4RXVUQBH76B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QGBPJY32VX6YXYD4RXVUQBH76B","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":"57de27a206d73431fb554e4c35920cda0566f4a512a8a303d257f1f2d634bb68","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T20:04:50Z","title_canon_sha256":"d5d8016455ab0d85cd70bc0ddc8ba2b843c67809e0ef910922364933830de938"},"schema_version":"1.0","source":{"id":"2503.23205","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23205","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23205v1","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23205","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_12","alias_value":"QGBPJY32VX6Y","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_16","alias_value":"QGBPJY32VX6YXYD4","created_at":"2026-07-05T10:41:32Z"},{"alias_kind":"pith_short_8","alias_value":"QGBPJY32","created_at":"2026-07-05T10:41:32Z"}],"graph_snapshots":[{"event_id":"sha256:88fe52dbef54f5cc788cf594b64310de761a2b7c67d5082589b3c22f30379c73","target":"graph","created_at":"2026-07-05T10:41:32Z","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/2503.23205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Graph Completion (KGC) aims to infer missing information in Knowledge Graphs (KGs) to address their inherent incompleteness. Traditional structure-based KGC methods, while effective, face significant computational demands and scalability challenges due to the need for dense embedding learning and scoring all entities in the KG for each prediction. Recent text-based approaches using language models like T5 and BERT have mitigated these issues by converting KG triples into text for reasoning. However, they often fail to fully utilize contextual information, focusing mainly on the neigh","authors_text":"Aoran Gan, Jianfang Chen, Kai Zhang, Qi Liu, Shiwei Tong, Shuanghong Shen","cross_cats":["cs.AI","cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T20:04:50Z","title":"Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23205","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":"sha256:61546aafcdc348ea598b182514aa4bff246dcf9e014030a478ca4e651fe89b8e","target":"record","created_at":"2026-07-05T10:41:32Z","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":"57de27a206d73431fb554e4c35920cda0566f4a512a8a303d257f1f2d634bb68","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-29T20:04:50Z","title_canon_sha256":"d5d8016455ab0d85cd70bc0ddc8ba2b843c67809e0ef910922364933830de938"},"schema_version":"1.0","source":{"id":"2503.23205","kind":"arxiv","version":1}},"canonical_sha256":"8182f4e37aadfd8be07c8deb4804fff0479163705944c70bee9877c86467c506","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8182f4e37aadfd8be07c8deb4804fff0479163705944c70bee9877c86467c506","first_computed_at":"2026-07-05T10:41:32.242650Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:32.242650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BUOSLf0sAt4f+oSSKgz137Al9Rq3Y1e5oOroptqYcfQguABnoJolYXKic4GNyWlZFoGwJ2f+8u68odH/Z0NkAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:32.243122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23205","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61546aafcdc348ea598b182514aa4bff246dcf9e014030a478ca4e651fe89b8e","sha256:88fe52dbef54f5cc788cf594b64310de761a2b7c67d5082589b3c22f30379c73"],"state_sha256":"6548963ebc09f4b2f3ffc261e661c50e19576cde3a9c7983f3361df2be18345e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OhthlRM2eYsmz3M0DMtez9QAuwJkXq1xUueBlkjpSRiDaO1wfKNcMEvMQI8TVW5fVntpp1RvOBOCptuHvzXEAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T16:12:58.019344Z","bundle_sha256":"0bb12edc1085d6694c29db1d2debdb96e98097fc7c38d6f748efc5fbd62f9027"}}