{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ECFBY4VXC272QBK4E4P2TSHRDE","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":"9344276cf421e3941749adb5e537b9a270a67e86eba55761740b69063bdd2e72","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-20T06:32:00Z","title_canon_sha256":"6cb3f4739aa8f5f706d4b11e7e9ccd440a717e103abb55a2849e9e2553b77018"},"schema_version":"1.0","source":{"id":"2407.14772","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14772","created_at":"2026-07-05T09:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14772v2","created_at":"2026-07-05T09:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14772","created_at":"2026-07-05T09:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"ECFBY4VXC272","created_at":"2026-07-05T09:13:37Z"},{"alias_kind":"pith_short_16","alias_value":"ECFBY4VXC272QBK4","created_at":"2026-07-05T09:13:37Z"},{"alias_kind":"pith_short_8","alias_value":"ECFBY4VX","created_at":"2026-07-05T09:13:37Z"}],"graph_snapshots":[{"event_id":"sha256:5f61a3832e4a208077ea88a64b24bccb780c26d9e220cacaf22c6de922b39795","target":"graph","created_at":"2026-07-05T09:13:37Z","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/2407.14772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we present the Graph Sub-Graph Network (GSN), a novel hybrid image classification model merging the strengths of Convolutional Neural Networks (CNNs) for feature extraction and Graph Neural Networks (GNNs) for structural modeling. GSN employs k-means clustering to group graph nodes into clusters, facilitating the creation of subgraphs. These subgraphs are then utilized to learn representative `atoms` for dictionary learning, enabling the identification of sparse, class-distinguishable features. This integrated approach is particularly relevant in domains like medical imaging, wh","authors_text":"Aryan Singh, Ciar\\'an Eising, Patrick Denny, Pepijn Van de Ven","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-20T06:32:00Z","title":"Subgraph Clustering and Atom Learning for Improved Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14772","kind":"arxiv","version":2},"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:fab0270a09547e220bc723aad114c06528c2214b0d4f68b3b01fb3dbf129cbc2","target":"record","created_at":"2026-07-05T09:13:37Z","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":"9344276cf421e3941749adb5e537b9a270a67e86eba55761740b69063bdd2e72","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-20T06:32:00Z","title_canon_sha256":"6cb3f4739aa8f5f706d4b11e7e9ccd440a717e103abb55a2849e9e2553b77018"},"schema_version":"1.0","source":{"id":"2407.14772","kind":"arxiv","version":2}},"canonical_sha256":"208a1c72b716bfa8055c271fa9c8f1190727b6e9ed9c5139892eccb72eb925e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"208a1c72b716bfa8055c271fa9c8f1190727b6e9ed9c5139892eccb72eb925e8","first_computed_at":"2026-07-05T09:13:37.715004Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:37.715004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QTN82VebVpDM+DDHzHMLBUkslw6+BSBHFAnB3ZiD9zGygCXGllk8SVMY5xaJd1OGz8yUCMUcGLzQTkEQgwujAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:37.715549Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14772","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fab0270a09547e220bc723aad114c06528c2214b0d4f68b3b01fb3dbf129cbc2","sha256:5f61a3832e4a208077ea88a64b24bccb780c26d9e220cacaf22c6de922b39795"],"state_sha256":"9609adc9a3cec1d6e6b8dc689391fae5200b51f0775c1a879fd4686aa43cfa05"}