{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZFM26YQC7CWRWZJ347RUPXIDSO","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":"91dcc42c41f313410209de6aa91a37c40b363e84f1e5c385c831dcde72eb6be1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-17T16:44:48Z","title_canon_sha256":"42b4439edf2d4096073edcd1a3d496f934f8bbedeac580882116899ead07b01e"},"schema_version":"1.0","source":{"id":"2301.07002","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.07002","created_at":"2026-07-05T08:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"2301.07002v3","created_at":"2026-07-05T08:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.07002","created_at":"2026-07-05T08:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"ZFM26YQC7CWR","created_at":"2026-07-05T08:04:30Z"},{"alias_kind":"pith_short_16","alias_value":"ZFM26YQC7CWRWZJ3","created_at":"2026-07-05T08:04:30Z"},{"alias_kind":"pith_short_8","alias_value":"ZFM26YQC","created_at":"2026-07-05T08:04:30Z"}],"graph_snapshots":[{"event_id":"sha256:b19a9fe717603e20b7784ca54178ce61c79b3efedef92af9e31dfe8b614f1ab3","target":"graph","created_at":"2026-07-05T08:04:30Z","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/2301.07002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Methods based on class activation maps (CAM) provide a simple mechanism to interpret predictions of convolutional neural networks by using linear combinations of feature maps as saliency maps. By contrast, masking-based methods optimize a saliency map directly in the image space or learn it by training another network on additional data.\n  In this work we introduce Opti-CAM, combining ideas from CAM-based and masking-based approaches. Our saliency map is a linear combination of feature maps, where weights are optimized per image such that the logit of the masked image for a given class is maxi","authors_text":"Felipe Torres, Hanwei Zhang, Ronan Sicre, Stephane Ayache, Yannis Avrithis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-17T16:44:48Z","title":"Opti-CAM: Optimizing saliency maps for interpretability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.07002","kind":"arxiv","version":3},"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:ca0d6febcd3d801181aa176fc7cf7788ec8234f39a57fd2212706b6b781ad674","target":"record","created_at":"2026-07-05T08:04:30Z","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":"91dcc42c41f313410209de6aa91a37c40b363e84f1e5c385c831dcde72eb6be1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-17T16:44:48Z","title_canon_sha256":"42b4439edf2d4096073edcd1a3d496f934f8bbedeac580882116899ead07b01e"},"schema_version":"1.0","source":{"id":"2301.07002","kind":"arxiv","version":3}},"canonical_sha256":"c959af6202f8ad1b653be7e347dd039396f402aa537cf7693e9314e687f0dd36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c959af6202f8ad1b653be7e347dd039396f402aa537cf7693e9314e687f0dd36","first_computed_at":"2026-07-05T08:04:30.881689Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:30.881689Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WdTllGSMYClXhYwWUWuzJPYLeq7zfK+vaBQRBk5RTAxSoYtN0AXHtw8GJY6WmX0ZMoSnNtxwolFG/s50ao1FBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:30.882108Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.07002","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca0d6febcd3d801181aa176fc7cf7788ec8234f39a57fd2212706b6b781ad674","sha256:b19a9fe717603e20b7784ca54178ce61c79b3efedef92af9e31dfe8b614f1ab3"],"state_sha256":"385ea957fb9d392dda7f9c6e656e183cb3096e342b16b4ae0f839030a9b6149a"}