{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NMVVI3ICR6CT5B5WO2Q7VIWELV","short_pith_number":"pith:NMVVI3IC","canonical_record":{"source":{"id":"2404.14928","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-23T11:13:39Z","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"title_canon_sha256":"ff1eb47f3eaf44bb1bcd61d6a03e29a5533b2989b122bb5cb790adb23c9f89c5","abstract_canon_sha256":"d3d7a82c7b8ed36fa1ee9726cbc140a4fab82985467874d4faf21e6632ff850b"},"schema_version":"1.0"},"canonical_sha256":"6b2b546d028f853e87b676a1faa2c45d549495b5293e4df4fd0a93936420eb34","source":{"kind":"arxiv","id":"2404.14928","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14928","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14928v3","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14928","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_12","alias_value":"NMVVI3ICR6CT","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_16","alias_value":"NMVVI3ICR6CT5B5W","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_8","alias_value":"NMVVI3IC","created_at":"2026-06-01T01:03:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NMVVI3ICR6CT5B5WO2Q7VIWELV","target":"record","payload":{"canonical_record":{"source":{"id":"2404.14928","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-23T11:13:39Z","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"title_canon_sha256":"ff1eb47f3eaf44bb1bcd61d6a03e29a5533b2989b122bb5cb790adb23c9f89c5","abstract_canon_sha256":"d3d7a82c7b8ed36fa1ee9726cbc140a4fab82985467874d4faf21e6632ff850b"},"schema_version":"1.0"},"canonical_sha256":"6b2b546d028f853e87b676a1faa2c45d549495b5293e4df4fd0a93936420eb34","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:38.647861Z","signature_b64":"8pJnn3esdaghauxX48kg22QOp+EvydB6RlI93Fyg/9dRzWNfT3awkOP++CT+fqHPgS/X7QNjDC34BYtJUoL5AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b2b546d028f853e87b676a1faa2c45d549495b5293e4df4fd0a93936420eb34","last_reissued_at":"2026-06-01T01:03:38.646498Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:38.646498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.14928","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":"2026-06-01T01:03:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h9iXGwCaHg9S5Fh7fhIaHcf2uhNbXBx16De2UReJ8PeJhdZdIsizY9nP52bcc/L6DsUYdeoorYqvuRUwhxvADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T19:01:50.733623Z"},"content_sha256":"6b830c93699b747c812554d01e3b28859a89621eca07e8018d265fba49741322","schema_version":"1.0","event_id":"sha256:6b830c93699b747c812554d01e3b28859a89621eca07e8018d265fba49741322"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NMVVI3ICR6CT5B5WO2Q7VIWELV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Machine Learning in the Era of Large Language Models (LLMs)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.SI"],"primary_cat":"cs.LG","authors_text":"Dawei Yin, Haitao Mao, Hui Liu, Jiani Huang, Qing Li, Shijie Wang, Wenqi Fan, Wenzhuo Tang, Xiaorui Liu, Yu Song, Zhikai Chen","submitted_at":"2024-04-23T11:13:39Z","abstract_excerpt":"Graphs play an important role in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. With the advent of deep learning, Graph Neural Networks (GNNs) have emerged as a cornerstone in Graph Machine Learning (Graph ML), facilitating the representation and processing of graphs. Recently, LLMs have demonstrated unprecedented capabilities in language tasks and are widely adopted in a variety of applications such as computer vision and recommender systems. This remarkable success has also attracted interest in applying LLMs to the grap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14928","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/2404.14928/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":"2026-06-01T01:03:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yQl013/XUjFQM09KzVsSi/BCQDL53oS8zX3Tnq8kGAnVw2TwhSnRbR3armsH55gL7MR4JHYRwLl2mTqEJFbhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T19:01:50.734276Z"},"content_sha256":"8160dc89451e0fa9157f42dbb219a422cffd62f91e55af1a7921f3d2ff694fbc","schema_version":"1.0","event_id":"sha256:8160dc89451e0fa9157f42dbb219a422cffd62f91e55af1a7921f3d2ff694fbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/bundle.json","state_url":"https://pith.science/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/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":"2026-06-05T19:01:50Z","links":{"resolver":"https://pith.science/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV","bundle":"https://pith.science/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/bundle.json","state":"https://pith.science/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMVVI3ICR6CT5B5WO2Q7VIWELV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NMVVI3ICR6CT5B5WO2Q7VIWELV","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":"d3d7a82c7b8ed36fa1ee9726cbc140a4fab82985467874d4faf21e6632ff850b","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-23T11:13:39Z","title_canon_sha256":"ff1eb47f3eaf44bb1bcd61d6a03e29a5533b2989b122bb5cb790adb23c9f89c5"},"schema_version":"1.0","source":{"id":"2404.14928","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14928","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14928v3","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14928","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_12","alias_value":"NMVVI3ICR6CT","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_16","alias_value":"NMVVI3ICR6CT5B5W","created_at":"2026-06-01T01:03:38Z"},{"alias_kind":"pith_short_8","alias_value":"NMVVI3IC","created_at":"2026-06-01T01:03:38Z"}],"graph_snapshots":[{"event_id":"sha256:8160dc89451e0fa9157f42dbb219a422cffd62f91e55af1a7921f3d2ff694fbc","target":"graph","created_at":"2026-06-01T01:03:38Z","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/2404.14928/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graphs play an important role in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. With the advent of deep learning, Graph Neural Networks (GNNs) have emerged as a cornerstone in Graph Machine Learning (Graph ML), facilitating the representation and processing of graphs. Recently, LLMs have demonstrated unprecedented capabilities in language tasks and are widely adopted in a variety of applications such as computer vision and recommender systems. This remarkable success has also attracted interest in applying LLMs to the grap","authors_text":"Dawei Yin, Haitao Mao, Hui Liu, Jiani Huang, Qing Li, Shijie Wang, Wenqi Fan, Wenzhuo Tang, Xiaorui Liu, Yu Song, Zhikai Chen","cross_cats":["cs.AI","cs.CL","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-23T11:13:39Z","title":"Graph Machine Learning in the Era of Large Language Models (LLMs)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14928","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":"sha256:6b830c93699b747c812554d01e3b28859a89621eca07e8018d265fba49741322","target":"record","created_at":"2026-06-01T01:03:38Z","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":"d3d7a82c7b8ed36fa1ee9726cbc140a4fab82985467874d4faf21e6632ff850b","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-23T11:13:39Z","title_canon_sha256":"ff1eb47f3eaf44bb1bcd61d6a03e29a5533b2989b122bb5cb790adb23c9f89c5"},"schema_version":"1.0","source":{"id":"2404.14928","kind":"arxiv","version":3}},"canonical_sha256":"6b2b546d028f853e87b676a1faa2c45d549495b5293e4df4fd0a93936420eb34","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b2b546d028f853e87b676a1faa2c45d549495b5293e4df4fd0a93936420eb34","first_computed_at":"2026-06-01T01:03:38.646498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:38.646498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8pJnn3esdaghauxX48kg22QOp+EvydB6RlI93Fyg/9dRzWNfT3awkOP++CT+fqHPgS/X7QNjDC34BYtJUoL5AQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:38.647861Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14928","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b830c93699b747c812554d01e3b28859a89621eca07e8018d265fba49741322","sha256:8160dc89451e0fa9157f42dbb219a422cffd62f91e55af1a7921f3d2ff694fbc"],"state_sha256":"940232e53d17285dfb0cc17cdbe7585f188008da02780bb0b279cea1cc848a15"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dP1LLiMQKHFwZjfCuMDdQv9e2yZkXTgD8Ojk8nLanChojqAAHS8B0FWRkLNfSxKv0hsFOZghXYLAlrnVAteJCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T19:01:50.737431Z","bundle_sha256":"cc61551492bf85644a51fbaefb52e83b376b0e33a82d49d5b361bab8ef2fb26d"}}