{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2WYZUGPSXXMU3RN33VN7JQGE2L","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":"220bc322b9e9a625a8dc5d49c72c692ed776c46c6b7469d780ca9d2f3636778b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-06T16:24:41Z","title_canon_sha256":"2509bbb2f6af19d7dec23b19ff0f7f86a77dca9844998c86ec9dc3345d6510f5"},"schema_version":"1.0","source":{"id":"2608.06236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06236","created_at":"2026-08-07T01:41:00Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06236v1","created_at":"2026-08-07T01:41:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06236","created_at":"2026-08-07T01:41:00Z"},{"alias_kind":"pith_short_12","alias_value":"2WYZUGPSXXMU","created_at":"2026-08-07T01:41:00Z"},{"alias_kind":"pith_short_16","alias_value":"2WYZUGPSXXMU3RN3","created_at":"2026-08-07T01:41:00Z"},{"alias_kind":"pith_short_8","alias_value":"2WYZUGPS","created_at":"2026-08-07T01:41:00Z"}],"graph_snapshots":[{"event_id":"sha256:bf6e8c4430702e9aa8d05fe29026cce99c6c2b84df9cf23d92d586d0f5ec91e6","target":"graph","created_at":"2026-08-07T01:41:00Z","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/2608.06236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Our primary objective is to advance video object counting in crowded scenes, aiming to robustly count all instances of a target category based on given text or visual prompts. Existing methods rely on RGB information, limiting their discriminative ability in crowded and occluded conditions. To address this, we propose a Depth-Guided Detector (DG-Det) along with a general post-processing pipeline. By integrating depth cues with multi-scale RGB-D cross-attention and explicit occlusion prediction, our method enhances spatial understanding and achieves robust detection in crowded and occluded scen","authors_text":"Antoni B. Chan, Linhao Zhang, Weidong Chen, Weigang Zhang, Xinyan Liu, Yuanjing Xu, Zhuangzhe Meng, Zixuan Zou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-06T16:24:41Z","title":"Depth-Guided Video Object Counting in Crowded Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06236","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":"sha256:29b43e6fe9827d01363969d29dedfeda7b4ce430596166edadc6002a46fb7d82","target":"record","created_at":"2026-08-07T01:41:00Z","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":"220bc322b9e9a625a8dc5d49c72c692ed776c46c6b7469d780ca9d2f3636778b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-06T16:24:41Z","title_canon_sha256":"2509bbb2f6af19d7dec23b19ff0f7f86a77dca9844998c86ec9dc3345d6510f5"},"schema_version":"1.0","source":{"id":"2608.06236","kind":"arxiv","version":1}},"canonical_sha256":"d5b19a19f2bdd94dc5bbdd5bf4c0c4d2eafa55de3d62122c0d2281628ad76b81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5b19a19f2bdd94dc5bbdd5bf4c0c4d2eafa55de3d62122c0d2281628ad76b81","first_computed_at":"2026-08-07T01:41:00.655372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T01:41:00.655372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3xL8wgxrXHNiBZoDrDfdFMaPKnRZ/Ys3YnCwHlZbH6lthGnY0f86eO3jCycK5ShggBexlMAkJWzf8hsHW+aKCQ==","signature_status":"signed_v1","signed_at":"2026-08-07T01:41:00.656954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29b43e6fe9827d01363969d29dedfeda7b4ce430596166edadc6002a46fb7d82","sha256:bf6e8c4430702e9aa8d05fe29026cce99c6c2b84df9cf23d92d586d0f5ec91e6"],"state_sha256":"2a0d6c146272b2d13d4b7bb9d80ddce2f684ad0a4cc68fac734c30aacbf3ec13"}