{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:P5DGODOSHPGUWDRFFKZKGV63OT","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":"abcc9fda56e175280b549d608870fd8ba9b40aead971895fe61c1252934bef41","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-04T00:32:20Z","title_canon_sha256":"12b407e12fe90c498dbfa807b53dedb9f9b039b1b03c0b4564d2ac366593c6c6"},"schema_version":"1.0","source":{"id":"1910.01765","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.01765","created_at":"2026-07-05T00:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"1910.01765v3","created_at":"2026-07-05T00:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.01765","created_at":"2026-07-05T00:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"P5DGODOSHPGU","created_at":"2026-07-05T00:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"P5DGODOSHPGUWDRF","created_at":"2026-07-05T00:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"P5DGODOS","created_at":"2026-07-05T00:20:20Z"}],"graph_snapshots":[{"event_id":"sha256:5457719e5aa60f1fde60b16f9ad6530792d114f60af7bc7d325c92c8b414aba4","target":"graph","created_at":"2026-07-05T00:20:20Z","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/1910.01765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dense depth estimation from a single image is a key problem in computer vision, with exciting applications in a multitude of robotic tasks. Initially viewed as a direct regression problem, requiring annotated labels as supervision at training time, in the past few years a substantial amount of work has been done in self-supervised depth training based on strong geometric cues, both from stereo cameras and more recently from monocular video sequences. In this paper we investigate how these two approaches (supervised & self-supervised) can be effectively combined, so that a depth model can learn","authors_text":"Adrien Gaidon, Jie Li, Rares Ambrus, Sudeep Pillai, Vitor Guizilini","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-04T00:32:20Z","title":"Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.01765","kind":"arxiv","version":3},"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":"sha256:7d36e8bb46469e7d0bfc7a961c87d953d62537decb0c7f810ce28f4229f81eaa","target":"record","created_at":"2026-07-05T00:20:20Z","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":"abcc9fda56e175280b549d608870fd8ba9b40aead971895fe61c1252934bef41","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-04T00:32:20Z","title_canon_sha256":"12b407e12fe90c498dbfa807b53dedb9f9b039b1b03c0b4564d2ac366593c6c6"},"schema_version":"1.0","source":{"id":"1910.01765","kind":"arxiv","version":3}},"canonical_sha256":"7f46670dd23bcd4b0e252ab2a357db74fe6a163df8b92746a12f9912437750cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f46670dd23bcd4b0e252ab2a357db74fe6a163df8b92746a12f9912437750cc","first_computed_at":"2026-07-05T00:20:20.736784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:20:20.736784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PeBBnVXbkNrzVgNnzKXS5PAVCK7asTPmSeiaqC7bQon1tAf6n8O5seMBFELFfGRWj68jBuWLnIRPGLRJyiWXAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:20:20.737229Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.01765","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d36e8bb46469e7d0bfc7a961c87d953d62537decb0c7f810ce28f4229f81eaa","sha256:5457719e5aa60f1fde60b16f9ad6530792d114f60af7bc7d325c92c8b414aba4"],"state_sha256":"7dbc9a77877dcf84f2eb55aba50bddb5029fe9a425c4dfe73265e584bb8b08ff"}