{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UHUXKIAMHWPD3ZDLQNF22EXUU4","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":"d7b1c3b8593ef7627b9b9b607369d22a52e8eac56e0e40a280bc3efc95403b53","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-23T09:31:02Z","title_canon_sha256":"ffa89dfc8f542c671bcafef4e9ba37e80db2a1fd4f12279bcce99d7e6b57d24e"},"schema_version":"1.0","source":{"id":"2505.17666","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17666","created_at":"2026-07-05T11:08:30Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17666v1","created_at":"2026-07-05T11:08:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17666","created_at":"2026-07-05T11:08:30Z"},{"alias_kind":"pith_short_12","alias_value":"UHUXKIAMHWPD","created_at":"2026-07-05T11:08:30Z"},{"alias_kind":"pith_short_16","alias_value":"UHUXKIAMHWPD3ZDL","created_at":"2026-07-05T11:08:30Z"},{"alias_kind":"pith_short_8","alias_value":"UHUXKIAM","created_at":"2026-07-05T11:08:30Z"}],"graph_snapshots":[{"event_id":"sha256:53003a3737a164757d2e326e8fca40268896da384d20e75c2b42ea1c14b7a47f","target":"graph","created_at":"2026-07-05T11:08:30Z","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/2505.17666/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based multi-view coarse-grained 3D shape classification has achieved remarkable success over the past decade, leveraging the powerful feature learning capabilities of CNN-based and ViT-based backbones. However, as a challenging research area critical for detailed shape understanding, fine-grained 3D classification remains understudied due to the limited discriminative information captured during multi-view feature aggregation, particularly for subtle inter-class variations, class imbalance, and inherent interpretability limitations of parametric model. To address these problems, ","authors_text":"Runmin Cong, Sam Kwong, Shuxian Ma, Xiuli Shao, Zihao Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-23T09:31:02Z","title":"Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17666","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":"sha256:27c8d06e2edcf6ebf5036970803efad4a8af6c8c5c7aef85bb82a97868e42040","target":"record","created_at":"2026-07-05T11:08:30Z","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":"d7b1c3b8593ef7627b9b9b607369d22a52e8eac56e0e40a280bc3efc95403b53","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-23T09:31:02Z","title_canon_sha256":"ffa89dfc8f542c671bcafef4e9ba37e80db2a1fd4f12279bcce99d7e6b57d24e"},"schema_version":"1.0","source":{"id":"2505.17666","kind":"arxiv","version":1}},"canonical_sha256":"a1e975200c3d9e3de46b834bad12f4a73cf7593d53c4919eac02dd9ec467f3e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1e975200c3d9e3de46b834bad12f4a73cf7593d53c4919eac02dd9ec467f3e1","first_computed_at":"2026-07-05T11:08:30.125979Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:30.125979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A4NuFhNF1JzqYToq3ykYUr8/2UxHDYmJubd8ViVEJSa/NVEavuwOeXPCxuEc1kIfWSwlKbTQwN2f8qUbDvQtCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:30.126546Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17666","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27c8d06e2edcf6ebf5036970803efad4a8af6c8c5c7aef85bb82a97868e42040","sha256:53003a3737a164757d2e326e8fca40268896da384d20e75c2b42ea1c14b7a47f"],"state_sha256":"72fc92a9da834f2f285c9877feb33fa9f9108d4b0ff35d80bae72bf17a6c032f"}