{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GUTXW6EXVVL3TTI7A5NTPNTFGI","short_pith_number":"pith:GUTXW6EX","canonical_record":{"source":{"id":"2405.18581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-28T20:54:47Z","cross_cats_sorted":[],"title_canon_sha256":"265b6420c9eb195038440bc20872e217abfabe88f6b040d46ee3eadfe3f34396","abstract_canon_sha256":"958f5483c5ec7063c89d5b23cf9ce173c523da70f97428c4de7f56db8a2ce811"},"schema_version":"1.0"},"canonical_sha256":"35277b7897ad57b9cd1f075b37b66532046c10bcb1a2f414270fdc02dfee4a3f","source":{"kind":"arxiv","id":"2405.18581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18581","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18581v1","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18581","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"GUTXW6EXVVL3","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_16","alias_value":"GUTXW6EXVVL3TTI7","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_8","alias_value":"GUTXW6EX","created_at":"2026-07-05T08:24:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GUTXW6EXVVL3TTI7A5NTPNTFGI","target":"record","payload":{"canonical_record":{"source":{"id":"2405.18581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-28T20:54:47Z","cross_cats_sorted":[],"title_canon_sha256":"265b6420c9eb195038440bc20872e217abfabe88f6b040d46ee3eadfe3f34396","abstract_canon_sha256":"958f5483c5ec7063c89d5b23cf9ce173c523da70f97428c4de7f56db8a2ce811"},"schema_version":"1.0"},"canonical_sha256":"35277b7897ad57b9cd1f075b37b66532046c10bcb1a2f414270fdc02dfee4a3f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:27.584495Z","signature_b64":"iC5ddMa0GRg6NKXdCnoYyIw7meTe54pzsFiuR9q7zJUuEnNPIOPYMbteC3ILRxkcVP7VzNlRbg1TGhsOM0xWDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35277b7897ad57b9cd1f075b37b66532046c10bcb1a2f414270fdc02dfee4a3f","last_reissued_at":"2026-07-05T08:24:27.584034Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:27.584034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.18581","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":"2026-07-05T08:24:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QFeJC7v5cc43nbnGFB1N3Z6pd2RYT/Rw6CJV2ESHWLUqWrjdo43vjApjbi+0758EAcaSailddjjnrbjhrt+EDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:32:28.254574Z"},"content_sha256":"eb2418075fb0ff63222fbb4975639477e8c58585e6e6a595e16d5d57290e99e6","schema_version":"1.0","event_id":"sha256:eb2418075fb0ff63222fbb4975639477e8c58585e6e6a595e16d5d57290e99e6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GUTXW6EXVVL3TTI7A5NTPNTFGI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Eunho Yang, Hyunjin Seo, June Yong Yang, Taewon Kim","submitted_at":"2024-05-28T20:54:47Z","abstract_excerpt":"Recent advancements in text-attributed graphs (TAGs) have significantly improved the quality of node features by using the textual modeling capabilities of language models. Despite this success, utilizing text attributes to enhance the predefined graph structure remains largely unexplored. Our extensive analysis reveals that conventional edges on TAGs, treated as a single relation (e.g., hyperlinks) in previous literature, actually encompass mixed semantics (e.g., \"advised by\" and \"participates in\"). This simplification hinders the representation learning process of Graph Neural Networks (GNNs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18581","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/2405.18581/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":"2026-07-05T08:24:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hRBITN8faLxJdLIHUQ8bJ7SZ3kTq/W8I01thayW4342xFWJy8+6o+VRB+0DMz29HGHnkD9GF15O2IcWpSMqvCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:32:28.254947Z"},"content_sha256":"74a12a93605b358f3ec1a600698b1e997a96170361c32bc891c8182e0dcd0a6e","schema_version":"1.0","event_id":"sha256:74a12a93605b358f3ec1a600698b1e997a96170361c32bc891c8182e0dcd0a6e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/bundle.json","state_url":"https://pith.science/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/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":"2026-07-07T04:32:28Z","links":{"resolver":"https://pith.science/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI","bundle":"https://pith.science/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/bundle.json","state":"https://pith.science/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GUTXW6EXVVL3TTI7A5NTPNTFGI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GUTXW6EXVVL3TTI7A5NTPNTFGI","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":"958f5483c5ec7063c89d5b23cf9ce173c523da70f97428c4de7f56db8a2ce811","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-28T20:54:47Z","title_canon_sha256":"265b6420c9eb195038440bc20872e217abfabe88f6b040d46ee3eadfe3f34396"},"schema_version":"1.0","source":{"id":"2405.18581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18581","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18581v1","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18581","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"GUTXW6EXVVL3","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_16","alias_value":"GUTXW6EXVVL3TTI7","created_at":"2026-07-05T08:24:27Z"},{"alias_kind":"pith_short_8","alias_value":"GUTXW6EX","created_at":"2026-07-05T08:24:27Z"}],"graph_snapshots":[{"event_id":"sha256:74a12a93605b358f3ec1a600698b1e997a96170361c32bc891c8182e0dcd0a6e","target":"graph","created_at":"2026-07-05T08:24:27Z","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/2405.18581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in text-attributed graphs (TAGs) have significantly improved the quality of node features by using the textual modeling capabilities of language models. Despite this success, utilizing text attributes to enhance the predefined graph structure remains largely unexplored. Our extensive analysis reveals that conventional edges on TAGs, treated as a single relation (e.g., hyperlinks) in previous literature, actually encompass mixed semantics (e.g., \"advised by\" and \"participates in\"). This simplification hinders the representation learning process of Graph Neural Networks (GNNs","authors_text":"Eunho Yang, Hyunjin Seo, June Yong Yang, Taewon Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-28T20:54:47Z","title":"Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18581","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:eb2418075fb0ff63222fbb4975639477e8c58585e6e6a595e16d5d57290e99e6","target":"record","created_at":"2026-07-05T08:24:27Z","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":"958f5483c5ec7063c89d5b23cf9ce173c523da70f97428c4de7f56db8a2ce811","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-28T20:54:47Z","title_canon_sha256":"265b6420c9eb195038440bc20872e217abfabe88f6b040d46ee3eadfe3f34396"},"schema_version":"1.0","source":{"id":"2405.18581","kind":"arxiv","version":1}},"canonical_sha256":"35277b7897ad57b9cd1f075b37b66532046c10bcb1a2f414270fdc02dfee4a3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35277b7897ad57b9cd1f075b37b66532046c10bcb1a2f414270fdc02dfee4a3f","first_computed_at":"2026-07-05T08:24:27.584034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:27.584034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iC5ddMa0GRg6NKXdCnoYyIw7meTe54pzsFiuR9q7zJUuEnNPIOPYMbteC3ILRxkcVP7VzNlRbg1TGhsOM0xWDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:27.584495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb2418075fb0ff63222fbb4975639477e8c58585e6e6a595e16d5d57290e99e6","sha256:74a12a93605b358f3ec1a600698b1e997a96170361c32bc891c8182e0dcd0a6e"],"state_sha256":"1c9855fe114ab3f596523ef32d2ebbbcffcc0ddf72f8223a32adccfe40a04d48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J8bA5vfF0UJxYLgnnb1KvaRivGrA9Gx8jmO0KogLaEBqqicO1oIOj8PzrGI/w7IUcuCgy1sAuGiQ6w7pJzB9DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:32:28.256954Z","bundle_sha256":"3ff08d9a717290836996de27079d86cfd621ddb50305d290ddb7d9b1542a5781"}}