{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BMSUDFAZ26BXY3QFDOLPZA45V3","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":"bffcbdebda356ba69e880d31dcbdec2898d7036add914d1f21511e9e80b01dd7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T18:46:17Z","title_canon_sha256":"7b25edd8e463014e0c9cdaa294f0cc3a203fc1f4e559b222af413a3953a46c49"},"schema_version":"1.0","source":{"id":"2606.22634","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22634","created_at":"2026-06-23T02:13:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22634v1","created_at":"2026-06-23T02:13:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22634","created_at":"2026-06-23T02:13:43Z"},{"alias_kind":"pith_short_12","alias_value":"BMSUDFAZ26BX","created_at":"2026-06-23T02:13:43Z"},{"alias_kind":"pith_short_16","alias_value":"BMSUDFAZ26BXY3QF","created_at":"2026-06-23T02:13:43Z"},{"alias_kind":"pith_short_8","alias_value":"BMSUDFAZ","created_at":"2026-06-23T02:13:43Z"}],"graph_snapshots":[{"event_id":"sha256:a172603cfe6b828b38b1f3948e12b43344a099ba651db9151468bf4a71425deb","target":"graph","created_at":"2026-06-23T02:13:43Z","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/2606.22634/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning Entropy (LE) has recently been extended to image analysis through Spatial Learning Entropy Maps (SLEMs), which are two-dimensional LE distributions that highlight unusually high learning activity across an image. Unlike conventional image descriptors, SLEMs are generated by incremental, sample-wise learning of a pretrained feedforward MLP network, where local pixel neighborhoods are presented sequentially in a fixed spatial order to predict the corresponding central pixels. Consequently, the learning activity at each image location depends not only on its local structure but also on t","authors_text":"Ivo Bukovsky, Jan Glaser, Marcel Jirina, Noriyasu Homma","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T18:46:17Z","title":"Learning Entropy Signature for Image Representation and Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22634","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":"sha256:7fcdf0391a06893fb4af58c9eb0d0323b7f38d41f88d0e53d6126c73b2fe1640","target":"record","created_at":"2026-06-23T02:13:43Z","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":"bffcbdebda356ba69e880d31dcbdec2898d7036add914d1f21511e9e80b01dd7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T18:46:17Z","title_canon_sha256":"7b25edd8e463014e0c9cdaa294f0cc3a203fc1f4e559b222af413a3953a46c49"},"schema_version":"1.0","source":{"id":"2606.22634","kind":"arxiv","version":1}},"canonical_sha256":"0b25419419d7837c6e051b96fc839daee142a6fd0134a4d267481d3b4ada784a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b25419419d7837c6e051b96fc839daee142a6fd0134a4d267481d3b4ada784a","first_computed_at":"2026-06-23T02:13:43.659403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:43.659403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1L1WRJiuinjon5uHrTwAkOoWl2W3xQd4p3zb0wzAJxDWU5o7AjIHJpYkOkr/1/ZNnHUUpK6MtlOSgRnCg59PAQ==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:43.659798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.22634","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fcdf0391a06893fb4af58c9eb0d0323b7f38d41f88d0e53d6126c73b2fe1640","sha256:a172603cfe6b828b38b1f3948e12b43344a099ba651db9151468bf4a71425deb"],"state_sha256":"050270e9c5175ef764860d14f03def1a49dd5f3631ed8561738489b5227a7153"}