{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QTJ5JPLMPDVK4UTJJAAOFMYE32","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":"1d4fafe281a9fe1e7c567c44aebf0eb2839e3dbe2724dabb3aa0765142c86fbe","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-13T08:32:03Z","title_canon_sha256":"eee69f1e512879180de90f2fbefe55277125609e49bf1d06532e5a70d6ceb346"},"schema_version":"1.0","source":{"id":"2004.05821","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05821","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05821v1","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05821","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_12","alias_value":"QTJ5JPLMPDVK","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_16","alias_value":"QTJ5JPLMPDVK4UTJ","created_at":"2026-07-05T00:54:41Z"},{"alias_kind":"pith_short_8","alias_value":"QTJ5JPLM","created_at":"2026-07-05T00:54:41Z"}],"graph_snapshots":[{"event_id":"sha256:4b0c5ab50b736e0b10dc8e0fbf34855f0b290cfe0af95de2ece418a3fc215fba","target":"graph","created_at":"2026-07-05T00:54:41Z","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/2004.05821/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in self-supervised learning havedemonstrated that it is possible to learn accurate monoculardepth reconstruction from raw video data, without using any 3Dground truth for supervision. However, in robotics applications,multiple views of a scene may or may not be available, depend-ing on the actions of the robot, switching between monocularand multi-view reconstruction. To address this mixed setting,we proposed a new approach that extends any off-the-shelfself-supervised monocular depth reconstruction system to usemore than one image at test time. Our method builds on astandard p","authors_text":"Andrea Vedaldi, Andrew Zisserman, Lukas Neumann, Robert McCraith","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-13T08:32:03Z","title":"Monocular Depth Estimation with Self-supervised Instance Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05821","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":"sha256:5cb4f4e771a9a8099a18b7e227ef90729d58f2df3c6135d20ea7aae2b6c689dd","target":"record","created_at":"2026-07-05T00:54:41Z","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":"1d4fafe281a9fe1e7c567c44aebf0eb2839e3dbe2724dabb3aa0765142c86fbe","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-13T08:32:03Z","title_canon_sha256":"eee69f1e512879180de90f2fbefe55277125609e49bf1d06532e5a70d6ceb346"},"schema_version":"1.0","source":{"id":"2004.05821","kind":"arxiv","version":1}},"canonical_sha256":"84d3d4bd6c78eaae52694800e2b304deafb5dd1a77703e6b8690d7aecee3e423","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84d3d4bd6c78eaae52694800e2b304deafb5dd1a77703e6b8690d7aecee3e423","first_computed_at":"2026-07-05T00:54:41.247976Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:54:41.247976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jXJrJSs/E6fv9m2xQsU1igaM/pwSVMZaQwG0yac2WqNaNBCZ0XZJko7cTGiAMk7FPq/lSz5i/tmt/XvvO1C7Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:54:41.248360Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.05821","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5cb4f4e771a9a8099a18b7e227ef90729d58f2df3c6135d20ea7aae2b6c689dd","sha256:4b0c5ab50b736e0b10dc8e0fbf34855f0b290cfe0af95de2ece418a3fc215fba"],"state_sha256":"aa1181e3b423b1b41199b9655454e809b906610eead6886aec2e831a8e4ba568"}