{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:3B5PT75USHYTCNMAFIP4DCVRPD","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":"645c958a4618e8b4c138bb40f045449ab0044ef397b12a33dd104f21d572e2bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-03T21:05:23Z","title_canon_sha256":"a6117068a9c4b639b7246c6652262dbb7014d36c5ab9df78c4f59317c7cfb320"},"schema_version":"1.0","source":{"id":"1502.01032","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.01032","created_at":"2026-05-18T00:57:51Z"},{"alias_kind":"arxiv_version","alias_value":"1502.01032v1","created_at":"2026-05-18T00:57:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.01032","created_at":"2026-05-18T00:57:51Z"},{"alias_kind":"pith_short_12","alias_value":"3B5PT75USHYT","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_16","alias_value":"3B5PT75USHYTCNMA","created_at":"2026-05-18T12:29:02Z"},{"alias_kind":"pith_short_8","alias_value":"3B5PT75U","created_at":"2026-05-18T12:29:02Z"}],"graph_snapshots":[{"event_id":"sha256:5a26601ab3346505ea298a2bb5d93fafc2a15d3fdff511ee863239abcd7b5825","target":"graph","created_at":"2026-05-18T00:57:51Z","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"},"paper":{"abstract_excerpt":"In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure. In this paper, we propose an automatic feature discovery framework for extracting discriminative class-specific features and present a low-complexity method for classification and disease grading in histopathology. Essentially, our Discriminative Feature-oriented Dictionary Learning (DFDL) method learns class-specific features which are suitable for representing samples from the s","authors_text":"Ganesh Rao, Hojjat S. Mousavi, Tiep H. Vu, UK Arvind Rao, Vishal Monga","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-03T21:05:23Z","title":"DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.01032","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:a1bfcc53a0469a474bc68c4dd983cddc3eaab5d55fb281e03b55c5321b485a8b","target":"record","created_at":"2026-05-18T00:57:51Z","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":"645c958a4618e8b4c138bb40f045449ab0044ef397b12a33dd104f21d572e2bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-03T21:05:23Z","title_canon_sha256":"a6117068a9c4b639b7246c6652262dbb7014d36c5ab9df78c4f59317c7cfb320"},"schema_version":"1.0","source":{"id":"1502.01032","kind":"arxiv","version":1}},"canonical_sha256":"d87af9ffb491f13135802a1fc18ab178f75e7cb16a2417e52b929a4614187b40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d87af9ffb491f13135802a1fc18ab178f75e7cb16a2417e52b929a4614187b40","first_computed_at":"2026-05-18T00:57:51.117039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:57:51.117039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oDtqrwMBdirNHaYTnd5gyopfyHEhmUOpRMWTrX2V9Xe4jI3dhQXyI9kikxMnAKekFTFCkr6Okek1WEhAzGt/BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:57:51.117647Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.01032","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1bfcc53a0469a474bc68c4dd983cddc3eaab5d55fb281e03b55c5321b485a8b","sha256:5a26601ab3346505ea298a2bb5d93fafc2a15d3fdff511ee863239abcd7b5825"],"state_sha256":"8ce27a68b11204b1f659d303a3743d9353070ce1fa82b11c252487546e2e54ac"}