{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KOISFQTVMR6GLJXH3KNZPLNRWH","short_pith_number":"pith:KOISFQTV","canonical_record":{"source":{"id":"2506.23141","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-29T08:37:48Z","cross_cats_sorted":[],"title_canon_sha256":"3fc4aaf568f860807b4d0c23ed855e0d2c622511cd8fd23f068d3eef198a4e5b","abstract_canon_sha256":"fce2ec90ecba5f983aa22e760a80703fdcfe9e121a1ed881cc06c1e4aac253ed"},"schema_version":"1.0"},"canonical_sha256":"539122c275647c65a6e7da9b97adb1b1db8961767703a7a12ede628ce2e4378c","source":{"kind":"arxiv","id":"2506.23141","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23141","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23141v2","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23141","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_12","alias_value":"KOISFQTVMR6G","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_16","alias_value":"KOISFQTVMR6GLJXH","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_8","alias_value":"KOISFQTV","created_at":"2026-07-05T12:08:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KOISFQTVMR6GLJXH3KNZPLNRWH","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23141","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-29T08:37:48Z","cross_cats_sorted":[],"title_canon_sha256":"3fc4aaf568f860807b4d0c23ed855e0d2c622511cd8fd23f068d3eef198a4e5b","abstract_canon_sha256":"fce2ec90ecba5f983aa22e760a80703fdcfe9e121a1ed881cc06c1e4aac253ed"},"schema_version":"1.0"},"canonical_sha256":"539122c275647c65a6e7da9b97adb1b1db8961767703a7a12ede628ce2e4378c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:08:04.578396Z","signature_b64":"rQQ/u1OLnwYClleno2paA3Ftg0Lu1ZJ7iHTJc6d9TKDw15Fjj8yL7K/dvT1U0Z+PAUB3Hjd8fFGbjPo6TFMhBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"539122c275647c65a6e7da9b97adb1b1db8961767703a7a12ede628ce2e4378c","last_reissued_at":"2026-07-05T12:08:04.577764Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:08:04.577764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23141","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":"2026-07-05T12:08:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SQ35r+QwENiYZorT9Wt1yPBSb078Aw71qqEYXcZ2xUCWsFsK4s6jTCgZP1NTTRLhgp9CLz1FyUUJrRpHG2LIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T17:24:42.180397Z"},"content_sha256":"6373f70ee580166b2d6d8cdf40da1906652a987f575d2a77fd59535f2aba7cae","schema_version":"1.0","event_id":"sha256:6373f70ee580166b2d6d8cdf40da1906652a987f575d2a77fd59535f2aba7cae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KOISFQTVMR6GLJXH3KNZPLNRWH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Jingyi Kang, Ruihao Zhou, Ruitong Liu, Siyuan Li, Te Sun, Yan Wen, Yunjia Wu","submitted_at":"2025-06-29T08:37:48Z","abstract_excerpt":"Semantic context surrounding a triplet $(h, r, t)$ is crucial for Knowledge Graph Completion (KGC), providing vital cues for prediction. However, traditional node-based message passing mechanisms, when applied to knowledge graphs, often introduce noise and suffer from information dilution or over-smoothing by indiscriminately aggregating information from all neighboring edges. To address this challenge, we propose a semantic-aware relational message passing. A core innovation of this framework is the introduction of a semantic-aware Top-K neighbor selection strategy. Specifically, this strateg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23141","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/2506.23141/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":"2026-07-05T12:08:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OMrvkRYl3azOVM4h2x48fA3yab6VMUU2FdLFRqxl/0SPsdAf40bivIcRmDul0S0NjlNVxHIR5C18uuAkq00kCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T17:24:42.180694Z"},"content_sha256":"9b4fd1a5688d7fb63790ce9ed1c3a64ef096e71ff5370a3d79faff8e4e37bf6a","schema_version":"1.0","event_id":"sha256:9b4fd1a5688d7fb63790ce9ed1c3a64ef096e71ff5370a3d79faff8e4e37bf6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/bundle.json","state_url":"https://pith.science/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/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":"2026-07-31T17:24:42Z","links":{"resolver":"https://pith.science/pith/KOISFQTVMR6GLJXH3KNZPLNRWH","bundle":"https://pith.science/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/bundle.json","state":"https://pith.science/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KOISFQTVMR6GLJXH3KNZPLNRWH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KOISFQTVMR6GLJXH3KNZPLNRWH","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":"fce2ec90ecba5f983aa22e760a80703fdcfe9e121a1ed881cc06c1e4aac253ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-29T08:37:48Z","title_canon_sha256":"3fc4aaf568f860807b4d0c23ed855e0d2c622511cd8fd23f068d3eef198a4e5b"},"schema_version":"1.0","source":{"id":"2506.23141","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23141","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23141v2","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23141","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_12","alias_value":"KOISFQTVMR6G","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_16","alias_value":"KOISFQTVMR6GLJXH","created_at":"2026-07-05T12:08:04Z"},{"alias_kind":"pith_short_8","alias_value":"KOISFQTV","created_at":"2026-07-05T12:08:04Z"}],"graph_snapshots":[{"event_id":"sha256:9b4fd1a5688d7fb63790ce9ed1c3a64ef096e71ff5370a3d79faff8e4e37bf6a","target":"graph","created_at":"2026-07-05T12:08:04Z","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/2506.23141/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic context surrounding a triplet $(h, r, t)$ is crucial for Knowledge Graph Completion (KGC), providing vital cues for prediction. However, traditional node-based message passing mechanisms, when applied to knowledge graphs, often introduce noise and suffer from information dilution or over-smoothing by indiscriminately aggregating information from all neighboring edges. To address this challenge, we propose a semantic-aware relational message passing. A core innovation of this framework is the introduction of a semantic-aware Top-K neighbor selection strategy. Specifically, this strateg","authors_text":"Jingyi Kang, Ruihao Zhou, Ruitong Liu, Siyuan Li, Te Sun, Yan Wen, Yunjia Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-29T08:37:48Z","title":"Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23141","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":"sha256:6373f70ee580166b2d6d8cdf40da1906652a987f575d2a77fd59535f2aba7cae","target":"record","created_at":"2026-07-05T12:08:04Z","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":"fce2ec90ecba5f983aa22e760a80703fdcfe9e121a1ed881cc06c1e4aac253ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-29T08:37:48Z","title_canon_sha256":"3fc4aaf568f860807b4d0c23ed855e0d2c622511cd8fd23f068d3eef198a4e5b"},"schema_version":"1.0","source":{"id":"2506.23141","kind":"arxiv","version":2}},"canonical_sha256":"539122c275647c65a6e7da9b97adb1b1db8961767703a7a12ede628ce2e4378c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"539122c275647c65a6e7da9b97adb1b1db8961767703a7a12ede628ce2e4378c","first_computed_at":"2026-07-05T12:08:04.577764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:08:04.577764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rQQ/u1OLnwYClleno2paA3Ftg0Lu1ZJ7iHTJc6d9TKDw15Fjj8yL7K/dvT1U0Z+PAUB3Hjd8fFGbjPo6TFMhBw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:08:04.578396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23141","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6373f70ee580166b2d6d8cdf40da1906652a987f575d2a77fd59535f2aba7cae","sha256:9b4fd1a5688d7fb63790ce9ed1c3a64ef096e71ff5370a3d79faff8e4e37bf6a"],"state_sha256":"14aac287f8a33a955e2ac7749bd078340aee29505c7177ba46755533307ac25e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qgoMQ5AP+1lnuZIapA5sdHnMn4fXYG6vfam+jCwvgHsyZ/k6xSQ+mVu1Oj/APpD9qW5T9eSQhUcGjd3lU/qtCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T17:24:42.182792Z","bundle_sha256":"4ae79ff999e8f297da4b7b11de7080046d9cd55e299821edd596931e0a20032d"}}