{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KY23XEEOZL46H7LNK4ZGEJ3VLB","short_pith_number":"pith:KY23XEEO","canonical_record":{"source":{"id":"2409.19513","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-29T02:16:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8cfbea136e8bad7c0a1ab28eecb767ae02d220fe2bdc39f1ee6d3b5afe9248f8","abstract_canon_sha256":"18ac9a6de6f5e8bf02576a3487f5cf988aa167f91fc9c9d35e386784fc3bf54d"},"schema_version":"1.0"},"canonical_sha256":"5635bb908ecaf9e3fd6d573262277558666999df287d07c480f423f8953dd384","source":{"kind":"arxiv","id":"2409.19513","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19513","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19513v1","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19513","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_12","alias_value":"KY23XEEOZL46","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_16","alias_value":"KY23XEEOZL46H7LN","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_8","alias_value":"KY23XEEO","created_at":"2026-07-05T09:13:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KY23XEEOZL46H7LNK4ZGEJ3VLB","target":"record","payload":{"canonical_record":{"source":{"id":"2409.19513","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-29T02:16:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8cfbea136e8bad7c0a1ab28eecb767ae02d220fe2bdc39f1ee6d3b5afe9248f8","abstract_canon_sha256":"18ac9a6de6f5e8bf02576a3487f5cf988aa167f91fc9c9d35e386784fc3bf54d"},"schema_version":"1.0"},"canonical_sha256":"5635bb908ecaf9e3fd6d573262277558666999df287d07c480f423f8953dd384","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:13:16.511644Z","signature_b64":"xBM8mXat8oDARIXL6vfsSLw4pCzl4b+yBg+KM/h7o/FgZ+Owc4iYRfawHcVniUnDQmmCFFnPMGjifZ5+wR8zBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5635bb908ecaf9e3fd6d573262277558666999df287d07c480f423f8953dd384","last_reissued_at":"2026-07-05T09:13:16.511139Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:13:16.511139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.19513","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":"2026-07-05T09:13:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W/FMEB2b1uGkUvRBPse/MPWlHgWqVYn2J4PQHgJSHJgV5mL+b4d6vNIjAzL/Tvzw4ll7FcI100JpjfhrVrHqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:27:07.003738Z"},"content_sha256":"4ab571909884fc696d2bf81fe138c6a3bb3fbbe912741adc24e05fa209ff854c","schema_version":"1.0","event_id":"sha256:4ab571909884fc696d2bf81fe138c6a3bb3fbbe912741adc24e05fa209ff854c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KY23XEEOZL46H7LNK4ZGEJ3VLB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One Node Per User: Node-Level Federated Learning for Graph Neural Networks","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Yanmin Gong, Yuanxiong Guo, Zhidong Gao","submitted_at":"2024-09-29T02:16:07Z","abstract_excerpt":"Graph Neural Networks (GNNs) training often necessitates gathering raw user data on a central server, which raises significant privacy concerns. Federated learning emerges as a solution, enabling collaborative model training without users directly sharing their raw data. However, integrating federated learning with GNNs presents unique challenges, especially when a client represents a graph node and holds merely a single feature vector. In this paper, we propose a novel framework for node-level federated graph learning. Specifically, we decouple the message-passing and feature vector transform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19513","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/2409.19513/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":"2026-07-05T09:13:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OLqUSnWUorMiBOq/6W+8xOwOsyJFUy5YYADqd194jyWiF5XM0SW4ekocHb3CtbVZaeWQnMLyN3PkVUokrxCiBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:27:07.004455Z"},"content_sha256":"16ee9fe6cc65b8bc28978da734bf288dc79f1892efcf16f37ca61d375db89f9b","schema_version":"1.0","event_id":"sha256:16ee9fe6cc65b8bc28978da734bf288dc79f1892efcf16f37ca61d375db89f9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/bundle.json","state_url":"https://pith.science/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/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":"2026-08-07T01:27:07Z","links":{"resolver":"https://pith.science/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB","bundle":"https://pith.science/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/bundle.json","state":"https://pith.science/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KY23XEEOZL46H7LNK4ZGEJ3VLB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KY23XEEOZL46H7LNK4ZGEJ3VLB","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":"18ac9a6de6f5e8bf02576a3487f5cf988aa167f91fc9c9d35e386784fc3bf54d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-29T02:16:07Z","title_canon_sha256":"8cfbea136e8bad7c0a1ab28eecb767ae02d220fe2bdc39f1ee6d3b5afe9248f8"},"schema_version":"1.0","source":{"id":"2409.19513","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19513","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19513v1","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19513","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_12","alias_value":"KY23XEEOZL46","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_16","alias_value":"KY23XEEOZL46H7LN","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_8","alias_value":"KY23XEEO","created_at":"2026-07-05T09:13:16Z"}],"graph_snapshots":[{"event_id":"sha256:16ee9fe6cc65b8bc28978da734bf288dc79f1892efcf16f37ca61d375db89f9b","target":"graph","created_at":"2026-07-05T09:13:16Z","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/2409.19513/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) training often necessitates gathering raw user data on a central server, which raises significant privacy concerns. Federated learning emerges as a solution, enabling collaborative model training without users directly sharing their raw data. However, integrating federated learning with GNNs presents unique challenges, especially when a client represents a graph node and holds merely a single feature vector. In this paper, we propose a novel framework for node-level federated graph learning. Specifically, we decouple the message-passing and feature vector transform","authors_text":"Yanmin Gong, Yuanxiong Guo, Zhidong Gao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-29T02:16:07Z","title":"One Node Per User: Node-Level Federated Learning for Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19513","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":"sha256:4ab571909884fc696d2bf81fe138c6a3bb3fbbe912741adc24e05fa209ff854c","target":"record","created_at":"2026-07-05T09:13:16Z","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":"18ac9a6de6f5e8bf02576a3487f5cf988aa167f91fc9c9d35e386784fc3bf54d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-29T02:16:07Z","title_canon_sha256":"8cfbea136e8bad7c0a1ab28eecb767ae02d220fe2bdc39f1ee6d3b5afe9248f8"},"schema_version":"1.0","source":{"id":"2409.19513","kind":"arxiv","version":1}},"canonical_sha256":"5635bb908ecaf9e3fd6d573262277558666999df287d07c480f423f8953dd384","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5635bb908ecaf9e3fd6d573262277558666999df287d07c480f423f8953dd384","first_computed_at":"2026-07-05T09:13:16.511139Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:16.511139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xBM8mXat8oDARIXL6vfsSLw4pCzl4b+yBg+KM/h7o/FgZ+Owc4iYRfawHcVniUnDQmmCFFnPMGjifZ5+wR8zBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:16.511644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19513","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ab571909884fc696d2bf81fe138c6a3bb3fbbe912741adc24e05fa209ff854c","sha256:16ee9fe6cc65b8bc28978da734bf288dc79f1892efcf16f37ca61d375db89f9b"],"state_sha256":"ffebbe368b364b473ac3a25b15a8f5512e1be61d9adbab4a148449ea73c53311"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pVJyq6vHZPuN6QKux/n5ZI195M/R02dnu/FxQ4XRyI0K7pZ6Z+AFFjBiD7iE31IOFHA510odAkWT722UulThBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:27:07.010943Z","bundle_sha256":"75aa54ddb25470756d971b1e54ebbe548f05014fa59330d5990f14c658407529"}}