{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YJUZC74MMBMXZXEH3GSL22YCNK","short_pith_number":"pith:YJUZC74M","canonical_record":{"source":{"id":"2412.07188","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:53:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"185cd87a267f7921dd1378acb11edc558b70cbd8696e30c45658c1a1fc40108f","abstract_canon_sha256":"87aa3262946b6d3902288fccb1da744614c242107d1c838ed4f55d6f48c03766"},"schema_version":"1.0"},"canonical_sha256":"c269917f8c60597cdc87d9a4bd6b026a989e9d65ad7cd5132ec555c068cbd490","source":{"kind":"arxiv","id":"2412.07188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07188","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07188v1","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07188","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"YJUZC74MMBMX","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"YJUZC74MMBMXZXEH","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"YJUZC74M","created_at":"2026-07-05T09:47:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YJUZC74MMBMXZXEH3GSL22YCNK","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07188","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:53:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"185cd87a267f7921dd1378acb11edc558b70cbd8696e30c45658c1a1fc40108f","abstract_canon_sha256":"87aa3262946b6d3902288fccb1da744614c242107d1c838ed4f55d6f48c03766"},"schema_version":"1.0"},"canonical_sha256":"c269917f8c60597cdc87d9a4bd6b026a989e9d65ad7cd5132ec555c068cbd490","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:05.487551Z","signature_b64":"7leGgA+P8ira7B2URJ+U3BjnOVFvNteojxhuQdjHMFp4kmULZJif4C3XBJNkb894B2nqlLeAvlWsl/0qbkfyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c269917f8c60597cdc87d9a4bd6b026a989e9d65ad7cd5132ec555c068cbd490","last_reissued_at":"2026-07-05T09:47:05.487107Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:05.487107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07188","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":"2026-07-05T09:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2XaDwsemoLJedLcMIwan2IKMlK9f7HKCRK8QpUceQhkXOJTslBUHywHtrG1W8+pYhKRqkHKwuNnUfrClY9VkBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:14:22.134126Z"},"content_sha256":"6f0f92501ac3b6123019642c248ccf94cf1218bf94787a81a431f29bbdc3c948","schema_version":"1.0","event_id":"sha256:6f0f92501ac3b6123019642c248ccf94cf1218bf94787a81a431f29bbdc3c948"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YJUZC74MMBMXZXEH3GSL22YCNK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Jundong Li, Patrick Soga, Song Wang, Yinhan He, Yushun Dong","submitted_at":"2024-12-10T04:53:53Z","abstract_excerpt":"Graph Neural Networks (GNNs) have achieved remarkable success in various graph-based learning tasks. While their performance is often attributed to the powerful neighborhood aggregation mechanism, recent studies suggest that other components such as non-linear layers may also significantly affecting how GNNs process the input graph data in the spectral domain. Such evidence challenges the prevalent opinion that neighborhood aggregation mechanisms dominate the behavioral characteristics of GNNs in the spectral domain. To demystify such a conflict, this paper introduces a comprehensive benchmark"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07188","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/2412.07188/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":"2026-07-05T09:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aUmVoiM4HU1mJ/SkA1nYOk9GSE/5mFEQDJ3oguIcDBIS/xFql+mM6kN1w571+13TuBlmLPwepA4CDZNZdr6NCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:14:22.134626Z"},"content_sha256":"2d5b808c1765e9c0f9acafd1982155b22a4223c308f2bd8c18e5a86eb763849a","schema_version":"1.0","event_id":"sha256:2d5b808c1765e9c0f9acafd1982155b22a4223c308f2bd8c18e5a86eb763849a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YJUZC74MMBMXZXEH3GSL22YCNK/bundle.json","state_url":"https://pith.science/pith/YJUZC74MMBMXZXEH3GSL22YCNK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YJUZC74MMBMXZXEH3GSL22YCNK/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":"2026-08-15T20:14:22Z","links":{"resolver":"https://pith.science/pith/YJUZC74MMBMXZXEH3GSL22YCNK","bundle":"https://pith.science/pith/YJUZC74MMBMXZXEH3GSL22YCNK/bundle.json","state":"https://pith.science/pith/YJUZC74MMBMXZXEH3GSL22YCNK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YJUZC74MMBMXZXEH3GSL22YCNK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YJUZC74MMBMXZXEH3GSL22YCNK","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":"87aa3262946b6d3902288fccb1da744614c242107d1c838ed4f55d6f48c03766","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:53:53Z","title_canon_sha256":"185cd87a267f7921dd1378acb11edc558b70cbd8696e30c45658c1a1fc40108f"},"schema_version":"1.0","source":{"id":"2412.07188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07188","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07188v1","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07188","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"YJUZC74MMBMX","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"YJUZC74MMBMXZXEH","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"YJUZC74M","created_at":"2026-07-05T09:47:05Z"}],"graph_snapshots":[{"event_id":"sha256:2d5b808c1765e9c0f9acafd1982155b22a4223c308f2bd8c18e5a86eb763849a","target":"graph","created_at":"2026-07-05T09:47:05Z","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/2412.07188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have achieved remarkable success in various graph-based learning tasks. While their performance is often attributed to the powerful neighborhood aggregation mechanism, recent studies suggest that other components such as non-linear layers may also significantly affecting how GNNs process the input graph data in the spectral domain. Such evidence challenges the prevalent opinion that neighborhood aggregation mechanisms dominate the behavioral characteristics of GNNs in the spectral domain. To demystify such a conflict, this paper introduces a comprehensive benchmark","authors_text":"Jundong Li, Patrick Soga, Song Wang, Yinhan He, Yushun Dong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:53:53Z","title":"Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07188","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":"sha256:6f0f92501ac3b6123019642c248ccf94cf1218bf94787a81a431f29bbdc3c948","target":"record","created_at":"2026-07-05T09:47:05Z","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":"87aa3262946b6d3902288fccb1da744614c242107d1c838ed4f55d6f48c03766","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:53:53Z","title_canon_sha256":"185cd87a267f7921dd1378acb11edc558b70cbd8696e30c45658c1a1fc40108f"},"schema_version":"1.0","source":{"id":"2412.07188","kind":"arxiv","version":1}},"canonical_sha256":"c269917f8c60597cdc87d9a4bd6b026a989e9d65ad7cd5132ec555c068cbd490","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c269917f8c60597cdc87d9a4bd6b026a989e9d65ad7cd5132ec555c068cbd490","first_computed_at":"2026-07-05T09:47:05.487107Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:05.487107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7leGgA+P8ira7B2URJ+U3BjnOVFvNteojxhuQdjHMFp4kmULZJif4C3XBJNkb894B2nqlLeAvlWsl/0qbkfyBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:05.487551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f0f92501ac3b6123019642c248ccf94cf1218bf94787a81a431f29bbdc3c948","sha256:2d5b808c1765e9c0f9acafd1982155b22a4223c308f2bd8c18e5a86eb763849a"],"state_sha256":"0293fd82e17ba3c06176a77a0b2c0e9e18e4cadfbf9aba38ad7830736e9fd88d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Gk4YeF3muLRDUNNAUVYbohGb4D7V3AtoxOSGUsJHgwjY6+zfmdbmGqe33kv1BDo1CGyLn/PnYx6GvTxtd6XCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T20:14:22.138660Z","bundle_sha256":"84202ab0f3f8e6b5cfaaee7f4863fcf4d07c253df3d8befe281fa581c8efa6c8"}}