{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U2PBPQBR26U4U4VRELXATOWH7V","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":"0c32c9ca083bbed7c9e93fe2dadc722144f33569e14925e55acb44260aad3f1c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T08:15:26Z","title_canon_sha256":"4d77f61ccd6e858b2f5c1af780291755b0d61c7ea1eb943c81ad6e076f91215e"},"schema_version":"1.0","source":{"id":"2508.06109","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06109","created_at":"2026-07-05T11:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06109v2","created_at":"2026-07-05T11:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06109","created_at":"2026-07-05T11:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"U2PBPQBR26U4","created_at":"2026-07-05T11:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"U2PBPQBR26U4U4VR","created_at":"2026-07-05T11:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"U2PBPQBR","created_at":"2026-07-05T11:54:50Z"}],"graph_snapshots":[{"event_id":"sha256:9dc4a1c483a02c95e99ed8d0b292d8ec09263326f689f89f9f4b471686431d31","target":"graph","created_at":"2026-07-05T11:54:50Z","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/2508.06109/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Networks (DNNs) face interpretability challenges due to their opaque internal representations. While Feature Map Convergence Evaluation (FMCE) quantifies module-level convergence via Feature Map Convergence Scores (FMCS), it lacks experimental validation and closed-loop integration. To address this limitation, we propose FMCE-Net++, a novel training framework that integrates a pretrained, frozen FMCE-Net as an auxiliary head. This module generates FMCS predictions, which, combined with task labels, jointly supervise backbone optimization through a Representation Auxiliary Loss. The","authors_text":"Lei He, Renyu Huang, Zhibo Zhu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T08:15:26Z","title":"FMCE-Net++: Feature Map Convergence Evaluation and Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06109","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":"sha256:078fa5212855bbd92067a58cabee4e881df67d44a0fd290b38e0edfae3bc2f0f","target":"record","created_at":"2026-07-05T11:54:50Z","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":"0c32c9ca083bbed7c9e93fe2dadc722144f33569e14925e55acb44260aad3f1c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T08:15:26Z","title_canon_sha256":"4d77f61ccd6e858b2f5c1af780291755b0d61c7ea1eb943c81ad6e076f91215e"},"schema_version":"1.0","source":{"id":"2508.06109","kind":"arxiv","version":2}},"canonical_sha256":"a69e17c031d7a9ca72b122ee09bac7fd5c9d4274585738ceb6941ef68c13fc36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a69e17c031d7a9ca72b122ee09bac7fd5c9d4274585738ceb6941ef68c13fc36","first_computed_at":"2026-07-05T11:54:50.472480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:50.472480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ciCHrERJfpPjCf5qN0Ulou0esPSuC25x60hxNHFt08aAvxgCvFvkt0pGaua4Jjj30hq1r1hcJ3NXSAKvTWS/Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:50.472937Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.06109","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:078fa5212855bbd92067a58cabee4e881df67d44a0fd290b38e0edfae3bc2f0f","sha256:9dc4a1c483a02c95e99ed8d0b292d8ec09263326f689f89f9f4b471686431d31"],"state_sha256":"eedec73ae282ac698d60b99059b384630d4c1ca2fa680dc4043468d5f9718d1a"}