{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QZ2BWOP7LEYCFESFY26YDRGYY4","short_pith_number":"pith:QZ2BWOP7","canonical_record":{"source":{"id":"2408.12185","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T08:00:50Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"4f7de7cdb4f28fe288494493341773a0a7d4371b81790613a1bd3a9ab905f2af","abstract_canon_sha256":"ed6c32d871f1eaa182f091dc89fd08d5ed673288db6e772034b0bf28fee7230a"},"schema_version":"1.0"},"canonical_sha256":"86741b39ff5930229245c6bd81c4d8c721430a24300d76f38badc7d53ed5da7c","source":{"kind":"arxiv","id":"2408.12185","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12185","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12185v1","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12185","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_12","alias_value":"QZ2BWOP7LEYC","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_16","alias_value":"QZ2BWOP7LEYCFESF","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_8","alias_value":"QZ2BWOP7","created_at":"2026-07-05T08:58:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QZ2BWOP7LEYCFESFY26YDRGYY4","target":"record","payload":{"canonical_record":{"source":{"id":"2408.12185","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T08:00:50Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"4f7de7cdb4f28fe288494493341773a0a7d4371b81790613a1bd3a9ab905f2af","abstract_canon_sha256":"ed6c32d871f1eaa182f091dc89fd08d5ed673288db6e772034b0bf28fee7230a"},"schema_version":"1.0"},"canonical_sha256":"86741b39ff5930229245c6bd81c4d8c721430a24300d76f38badc7d53ed5da7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:58:05.438699Z","signature_b64":"twUDF0kdwpm/jifv623F4lq+1NH7IGGIA0HUxZeVxD92dOS+upbWQ1eR0uKBq2H/ly8pxFH9bgIV7TTEnjMJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86741b39ff5930229245c6bd81c4d8c721430a24300d76f38badc7d53ed5da7c","last_reissued_at":"2026-07-05T08:58:05.438261Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:58:05.438261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.12185","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":"2026-07-05T08:58:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NhScFQIhxZzbvYY4rICo/Syyy0OB46jQ27S8QCkrbM61C6f2DLfD8fcCPz+jUaTurZyOueuE6DQGnKAsxO2lDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:30:55.096884Z"},"content_sha256":"f088d78ad29b7ccde1fdac259535d3e6f483980ba7e694ba7632b1c914b756fd","schema_version":"1.0","event_id":"sha256:f088d78ad29b7ccde1fdac259535d3e6f483980ba7e694ba7632b1c914b756fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QZ2BWOP7LEYCFESFY26YDRGYY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rank and Align: Towards Effective Source-free Graph Domain Adaptation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.LG","authors_text":"Jingyang Yuan, Junyu Luo, Langechuan Liu, Ming Zhang, Wei Ju, Xiao Luo, Yifan Wang, Zhiping Xiao","submitted_at":"2024-08-22T08:00:50Z","abstract_excerpt":"Graph neural networks (GNNs) have achieved impressive performance in graph domain adaptation. However, extensive source graphs could be unavailable in real-world scenarios due to privacy and storage concerns. To this end, we investigate an underexplored yet practical problem of source-free graph domain adaptation, which transfers knowledge from source models instead of source graphs to a target domain. To solve this problem, we introduce a novel GNN-based approach called Rank and Align (RNA), which ranks graph similarities with spectral seriation for robust semantics learning, and aligns inhar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12185","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/2408.12185/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":"2026-07-05T08:58:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfSFbmFrL3mu1tpftfYOLmQ+ryh094LBMhbwOhnfYkA0hH5iWkgygadrsAPiKu1+VwhYN9LgC7IFMGH17BVYCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:30:55.097252Z"},"content_sha256":"4fe9b2f0aaa866bcd3ea2c24c9cd209ba4b4750a6754cc767a60902ce9fa0a99","schema_version":"1.0","event_id":"sha256:4fe9b2f0aaa866bcd3ea2c24c9cd209ba4b4750a6754cc767a60902ce9fa0a99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/bundle.json","state_url":"https://pith.science/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/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":"2026-07-07T13:30:55Z","links":{"resolver":"https://pith.science/pith/QZ2BWOP7LEYCFESFY26YDRGYY4","bundle":"https://pith.science/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/bundle.json","state":"https://pith.science/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QZ2BWOP7LEYCFESFY26YDRGYY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QZ2BWOP7LEYCFESFY26YDRGYY4","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":"ed6c32d871f1eaa182f091dc89fd08d5ed673288db6e772034b0bf28fee7230a","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T08:00:50Z","title_canon_sha256":"4f7de7cdb4f28fe288494493341773a0a7d4371b81790613a1bd3a9ab905f2af"},"schema_version":"1.0","source":{"id":"2408.12185","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12185","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12185v1","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12185","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_12","alias_value":"QZ2BWOP7LEYC","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_16","alias_value":"QZ2BWOP7LEYCFESF","created_at":"2026-07-05T08:58:05Z"},{"alias_kind":"pith_short_8","alias_value":"QZ2BWOP7","created_at":"2026-07-05T08:58:05Z"}],"graph_snapshots":[{"event_id":"sha256:4fe9b2f0aaa866bcd3ea2c24c9cd209ba4b4750a6754cc767a60902ce9fa0a99","target":"graph","created_at":"2026-07-05T08:58:05Z","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/2408.12185/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph neural networks (GNNs) have achieved impressive performance in graph domain adaptation. However, extensive source graphs could be unavailable in real-world scenarios due to privacy and storage concerns. To this end, we investigate an underexplored yet practical problem of source-free graph domain adaptation, which transfers knowledge from source models instead of source graphs to a target domain. To solve this problem, we introduce a novel GNN-based approach called Rank and Align (RNA), which ranks graph similarities with spectral seriation for robust semantics learning, and aligns inhar","authors_text":"Jingyang Yuan, Junyu Luo, Langechuan Liu, Ming Zhang, Wei Ju, Xiao Luo, Yifan Wang, Zhiping Xiao","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T08:00:50Z","title":"Rank and Align: Towards Effective Source-free Graph Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12185","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:f088d78ad29b7ccde1fdac259535d3e6f483980ba7e694ba7632b1c914b756fd","target":"record","created_at":"2026-07-05T08:58:05Z","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":"ed6c32d871f1eaa182f091dc89fd08d5ed673288db6e772034b0bf28fee7230a","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T08:00:50Z","title_canon_sha256":"4f7de7cdb4f28fe288494493341773a0a7d4371b81790613a1bd3a9ab905f2af"},"schema_version":"1.0","source":{"id":"2408.12185","kind":"arxiv","version":1}},"canonical_sha256":"86741b39ff5930229245c6bd81c4d8c721430a24300d76f38badc7d53ed5da7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86741b39ff5930229245c6bd81c4d8c721430a24300d76f38badc7d53ed5da7c","first_computed_at":"2026-07-05T08:58:05.438261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:05.438261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"twUDF0kdwpm/jifv623F4lq+1NH7IGGIA0HUxZeVxD92dOS+upbWQ1eR0uKBq2H/ly8pxFH9bgIV7TTEnjMJCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:05.438699Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.12185","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f088d78ad29b7ccde1fdac259535d3e6f483980ba7e694ba7632b1c914b756fd","sha256:4fe9b2f0aaa866bcd3ea2c24c9cd209ba4b4750a6754cc767a60902ce9fa0a99"],"state_sha256":"0de1240fd2e09cf683a067b970e13d424bee9136ecce47bba112c01d77b41f8d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jh6du5J0ost40QVWGd+kahTE1rFY3QKTTOdXPDkOgqVfPc9OfGOniywzsQdMsnLagwHEhzEl4DJ1TA/Mam7JAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:30:55.099131Z","bundle_sha256":"a818c1aa8a11fdc80108c7ca3cdef6154e420486a8e4a9409316872d36deb99b"}}