{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:D5IZFXMNZEHPEMY74JW3UU6IAA","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":"fda84f3ed47473f7febfd6ccd433c839c9dd49c3a13313b7be6fd838a8bec1a0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-14T10:01:02Z","title_canon_sha256":"b3fe70872a9cf38d0665067e2054694fdaf8b4ede9d1e140c5c6e2d041a3233f"},"schema_version":"1.0","source":{"id":"2507.10118","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10118","created_at":"2026-07-05T11:36:45Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10118v1","created_at":"2026-07-05T11:36:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10118","created_at":"2026-07-05T11:36:45Z"},{"alias_kind":"pith_short_12","alias_value":"D5IZFXMNZEHP","created_at":"2026-07-05T11:36:45Z"},{"alias_kind":"pith_short_16","alias_value":"D5IZFXMNZEHPEMY7","created_at":"2026-07-05T11:36:45Z"},{"alias_kind":"pith_short_8","alias_value":"D5IZFXMN","created_at":"2026-07-05T11:36:45Z"}],"graph_snapshots":[{"event_id":"sha256:2a9b2fce9ef65eab3d29e8f6c8426a8055bc0cf85e977f4faa60503dfcb0988e","target":"graph","created_at":"2026-07-05T11:36:45Z","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/2507.10118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pixel-level annotation is expensive and time-consuming. Semi-supervised segmentation methods address this challenge by learning models on few labeled images alongside a large corpus of unlabeled images. Although foundation models could further account for label scarcity, effective mechanisms for their exploitation remain underexplored. We address this by devising a novel semi-supervised panoptic approach fueled by two dedicated foundation models. We enhance recognition by complementing unsupervised mask-transformer consistency with zero-shot classification of CLIP features. We enhance localiza","authors_text":"Ivan Martinovi\\'c, Josip \\v{S}ari\\'c, Marin Or\\v{s}i\\'c, Matej Kristan, Sini\\v{s}a \\v{S}egvi\\'c","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-14T10:01:02Z","title":"DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10118","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":"sha256:1eeffd6cd3743310ae5b2c0e1068ad742c9495683cc7d3f0de45e8386514205f","target":"record","created_at":"2026-07-05T11:36:45Z","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":"fda84f3ed47473f7febfd6ccd433c839c9dd49c3a13313b7be6fd838a8bec1a0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-14T10:01:02Z","title_canon_sha256":"b3fe70872a9cf38d0665067e2054694fdaf8b4ede9d1e140c5c6e2d041a3233f"},"schema_version":"1.0","source":{"id":"2507.10118","kind":"arxiv","version":1}},"canonical_sha256":"1f5192dd8dc90ef2331fe26dba53c80016d569ca1ebabb44c9c694a390ee08e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f5192dd8dc90ef2331fe26dba53c80016d569ca1ebabb44c9c694a390ee08e1","first_computed_at":"2026-07-05T11:36:45.399690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:45.399690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZTEg5r83g0KF0S8iB20s3RVldFzk4fI7ztXPVyKwyBaOclExtKms8JnTCFdiU/U1SoBtA5mHe9Wh7L8C+zjCBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:45.400127Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10118","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eeffd6cd3743310ae5b2c0e1068ad742c9495683cc7d3f0de45e8386514205f","sha256:2a9b2fce9ef65eab3d29e8f6c8426a8055bc0cf85e977f4faa60503dfcb0988e"],"state_sha256":"1fb799ee446d7b06abef162c1858dcbab7bdc4ec3a17d932b16b660e9033da97"}