{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NZIQ45DOB6B2PYEKDK2LVQPZSZ","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":"7b9f1ede659f0ae23cf13a50cb060b6714235316df5144bc007cccfc8365cbb5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T18:27:03Z","title_canon_sha256":"82ab7610c28361237b4e04c366959055b4a97e4e093f161191b2f28bf4a78234"},"schema_version":"1.0","source":{"id":"2404.02225","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02225","created_at":"2026-07-05T10:58:15Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02225v2","created_at":"2026-07-05T10:58:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02225","created_at":"2026-07-05T10:58:15Z"},{"alias_kind":"pith_short_12","alias_value":"NZIQ45DOB6B2","created_at":"2026-07-05T10:58:15Z"},{"alias_kind":"pith_short_16","alias_value":"NZIQ45DOB6B2PYEK","created_at":"2026-07-05T10:58:15Z"},{"alias_kind":"pith_short_8","alias_value":"NZIQ45DO","created_at":"2026-07-05T10:58:15Z"}],"graph_snapshots":[{"event_id":"sha256:b007f43c397f94da5b6a5a93a60afe80b0597287e06f3a3ffa2a1658ebe792d0","target":"graph","created_at":"2026-07-05T10:58:15Z","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/2404.02225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose CHOSEN, a simple yet flexible, robust and effective multi-view depth refinement framework. It can be employed in any existing multi-view stereo pipeline, with straightforward generalization capability for different multi-view capture systems such as camera relative positioning and lenses. Given an initial depth estimation, CHOSEN iteratively re-samples and selects the best hypotheses, and automatically adapts to different metric or intrinsic scales determined by the capture system. The key to our approach is the application of contrastive learning in an appropriate solution space an","authors_text":"Christian H\\\"ane, Christoph Rhemann, Di Qiu, Sean Fanello, Sergio Orts Escolano, Thabo Beeler, Vladimir Tankovich, Yinda Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T18:27:03Z","title":"CHOSEN: Contrastive Hypothesis Selection for Multi-View Depth Refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02225","kind":"arxiv","version":2},"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":"sha256:977e01df9c5bc6fa9f3e0602e0e759322b793502b9f7038f8ed365da7dbb0e95","target":"record","created_at":"2026-07-05T10:58:15Z","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":"7b9f1ede659f0ae23cf13a50cb060b6714235316df5144bc007cccfc8365cbb5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T18:27:03Z","title_canon_sha256":"82ab7610c28361237b4e04c366959055b4a97e4e093f161191b2f28bf4a78234"},"schema_version":"1.0","source":{"id":"2404.02225","kind":"arxiv","version":2}},"canonical_sha256":"6e510e746e0f83a7e08a1ab4bac1f996537d18394bafc62fe3b1b2f8944ca0a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e510e746e0f83a7e08a1ab4bac1f996537d18394bafc62fe3b1b2f8944ca0a4","first_computed_at":"2026-07-05T10:58:15.628721Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:15.628721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0y+8/yat1A75ivERJqPr8iRZv8JBX/KmvZ/mgt9KvJY0W7JYUN7TnKPJ4fxcNNN3hB3O6o53q5hqXBYL2KSdDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:15.629278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.02225","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:977e01df9c5bc6fa9f3e0602e0e759322b793502b9f7038f8ed365da7dbb0e95","sha256:b007f43c397f94da5b6a5a93a60afe80b0597287e06f3a3ffa2a1658ebe792d0"],"state_sha256":"b5af8278cce1e84e4d88195f477251c0972f4f033b98b9e7551b0fa10bfad4d0"}