{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NMGUS3WCOV6QZA2ODQFKOGEYEO","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":"17b7013cc0f8be3c4e98ff63f0f8f485e68a39f44a5947e9aae0ae95759d4631","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T17:59:59Z","title_canon_sha256":"71f49ea04a2b5c2c21db1394089af2928682cc22adf06fdcc281551b90830efb"},"schema_version":"1.0","source":{"id":"2310.15171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15171","created_at":"2026-07-05T07:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15171v1","created_at":"2026-07-05T07:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15171","created_at":"2026-07-05T07:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"NMGUS3WCOV6Q","created_at":"2026-07-05T07:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"NMGUS3WCOV6QZA2O","created_at":"2026-07-05T07:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"NMGUS3WC","created_at":"2026-07-05T07:04:06Z"}],"graph_snapshots":[{"event_id":"sha256:6f5d53c5b273146f277ae39d13685991a668f18bef00987b5d5d177084a09a1f","target":"graph","created_at":"2026-07-05T07:04:06Z","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/2310.15171/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth estimation from monocular images is pivotal for real-world visual perception systems. While current learning-based depth estimation models train and test on meticulously curated data, they often overlook out-of-distribution (OoD) situations. Yet, in practical settings -- especially safety-critical ones like autonomous driving -- common corruptions can arise. Addressing this oversight, we introduce a comprehensive robustness test suite, RoboDepth, encompassing 18 corruptions spanning three categories: i) weather and lighting conditions; ii) sensor failures and movement; and iii) data proc","authors_text":"Benoit R. Cottereau, Hanjiang Hu, Lai Xing Ng, Lingdong Kong, Shaoyuan Xie, Wei Tsang Ooi","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T17:59:59Z","title":"RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15171","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":"sha256:894835b6a1f7fb074e2e2683435098759377a9d1ea07715818fe8af6ccb5e00d","target":"record","created_at":"2026-07-05T07:04:06Z","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":"17b7013cc0f8be3c4e98ff63f0f8f485e68a39f44a5947e9aae0ae95759d4631","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T17:59:59Z","title_canon_sha256":"71f49ea04a2b5c2c21db1394089af2928682cc22adf06fdcc281551b90830efb"},"schema_version":"1.0","source":{"id":"2310.15171","kind":"arxiv","version":1}},"canonical_sha256":"6b0d496ec2757d0c834e1c0aa7189823b9783d7b2d4c98cfb31dd1ea2a84a414","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b0d496ec2757d0c834e1c0aa7189823b9783d7b2d4c98cfb31dd1ea2a84a414","first_computed_at":"2026-07-05T07:04:06.995794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:06.995794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UXOXRD1AKTIlneuq/AeybqTJfzDSoERy8gOnbBUo5RlH/cRXIp9LLPdWLrm8fy4KFtumnij9LY13r9rOSa+nBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:06.996266Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15171","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:894835b6a1f7fb074e2e2683435098759377a9d1ea07715818fe8af6ccb5e00d","sha256:6f5d53c5b273146f277ae39d13685991a668f18bef00987b5d5d177084a09a1f"],"state_sha256":"8743c9fac6b2b0b14b3e19774800cede580dc1acf5f843076c8064bdb951741d"}