{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:4QTUZIHFYFTHUK75LXC4JNJ72P","short_pith_number":"pith:4QTUZIHF","canonical_record":{"source":{"id":"2011.09594","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-19T00:22:09Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"c502a43cc57b65265b7078d64ab6227c0004148c35e1b6e523bc0ddeec32ea43","abstract_canon_sha256":"8be64db1640796c8f3ffe0b02dd470038a21bfb4c53a3d537fc31016cc8f77cb"},"schema_version":"1.0"},"canonical_sha256":"e4274ca0e5c1667a2bfd5dc5c4b53fd3d59f33096b1fe7ad81c627df92365680","source":{"kind":"arxiv","id":"2011.09594","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.09594","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"arxiv_version","alias_value":"2011.09594v2","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.09594","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_12","alias_value":"4QTUZIHFYFTH","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_16","alias_value":"4QTUZIHFYFTHUK75","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_8","alias_value":"4QTUZIHF","created_at":"2026-07-05T02:26:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:4QTUZIHFYFTHUK75LXC4JNJ72P","target":"record","payload":{"canonical_record":{"source":{"id":"2011.09594","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-19T00:22:09Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"c502a43cc57b65265b7078d64ab6227c0004148c35e1b6e523bc0ddeec32ea43","abstract_canon_sha256":"8be64db1640796c8f3ffe0b02dd470038a21bfb4c53a3d537fc31016cc8f77cb"},"schema_version":"1.0"},"canonical_sha256":"e4274ca0e5c1667a2bfd5dc5c4b53fd3d59f33096b1fe7ad81c627df92365680","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:26:52.123533Z","signature_b64":"Kuy4Ln18leftS3BYjP/c21Jtc09o3kXMZA6CQQYr9EHAccdbog9z3d9Na3zQMr8fCXv9tc44AQREXeYhaVk9DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4274ca0e5c1667a2bfd5dc5c4b53fd3d59f33096b1fe7ad81c627df92365680","last_reissued_at":"2026-07-05T02:26:52.123056Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:26:52.123056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.09594","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:26:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G89jf/kbV/8y0jsV4tirhi1BDUszPDCGXqBzwPITjMwwbI3ZjNtCBhsXVcmWjHo2j2ERXLzR/eSQxsSDNykqBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:54:32.623188Z"},"content_sha256":"9cf416272d67736993953903481cbbc5931ca6bd7da0ce99ed8d1e5d53e33c4c","schema_version":"1.0","event_id":"sha256:9cf416272d67736993953903481cbbc5931ca6bd7da0ce99ed8d1e5d53e33c4c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:4QTUZIHFYFTHUK75LXC4JNJ72P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Multi-view Depth Estimation with Predicted Uncertainty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis, Tien Do, Tong Ke","submitted_at":"2020-11-19T00:22:09Z","abstract_excerpt":"In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks. Specifically, we employ a dense-optical-flow network to compute correspondences and then triangulate the point cloud to obtain an initial depth map.Parts of the point cloud, however, may be less accurate than others due to lack of common observations or small parallax. To further increase the triangulation accuracy, we introduce a depth-refinement network (DRN) that optimizes the initial depth map based on the image's contextual cues. In particular, the DRN contains an iterativ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.09594","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2011.09594/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:26:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x8fZtSXE0uyJW0+gDw27MPvDX2LDJ2wsdAvVOZczjGlVffhwr7cAY2FeGg92dQtbjOGVBw9BJMthTvJ6bMVyAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:54:32.623711Z"},"content_sha256":"711baeeda57198703a70a84317c74a8047bc90fc0f7c2b86efe3f8ea7187c550","schema_version":"1.0","event_id":"sha256:711baeeda57198703a70a84317c74a8047bc90fc0f7c2b86efe3f8ea7187c550"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/bundle.json","state_url":"https://pith.science/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T19:54:32Z","links":{"resolver":"https://pith.science/pith/4QTUZIHFYFTHUK75LXC4JNJ72P","bundle":"https://pith.science/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/bundle.json","state":"https://pith.science/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4QTUZIHFYFTHUK75LXC4JNJ72P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:4QTUZIHFYFTHUK75LXC4JNJ72P","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":"8be64db1640796c8f3ffe0b02dd470038a21bfb4c53a3d537fc31016cc8f77cb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-19T00:22:09Z","title_canon_sha256":"c502a43cc57b65265b7078d64ab6227c0004148c35e1b6e523bc0ddeec32ea43"},"schema_version":"1.0","source":{"id":"2011.09594","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.09594","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"arxiv_version","alias_value":"2011.09594v2","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.09594","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_12","alias_value":"4QTUZIHFYFTH","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_16","alias_value":"4QTUZIHFYFTHUK75","created_at":"2026-07-05T02:26:52Z"},{"alias_kind":"pith_short_8","alias_value":"4QTUZIHF","created_at":"2026-07-05T02:26:52Z"}],"graph_snapshots":[{"event_id":"sha256:711baeeda57198703a70a84317c74a8047bc90fc0f7c2b86efe3f8ea7187c550","target":"graph","created_at":"2026-07-05T02:26:52Z","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/2011.09594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks. Specifically, we employ a dense-optical-flow network to compute correspondences and then triangulate the point cloud to obtain an initial depth map.Parts of the point cloud, however, may be less accurate than others due to lack of common observations or small parallax. To further increase the triangulation accuracy, we introduce a depth-refinement network (DRN) that optimizes the initial depth map based on the image's contextual cues. In particular, the DRN contains an iterativ","authors_text":"Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis, Tien Do, Tong Ke","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-19T00:22:09Z","title":"Deep Multi-view Depth Estimation with Predicted Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.09594","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":"sha256:9cf416272d67736993953903481cbbc5931ca6bd7da0ce99ed8d1e5d53e33c4c","target":"record","created_at":"2026-07-05T02:26:52Z","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":"8be64db1640796c8f3ffe0b02dd470038a21bfb4c53a3d537fc31016cc8f77cb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-19T00:22:09Z","title_canon_sha256":"c502a43cc57b65265b7078d64ab6227c0004148c35e1b6e523bc0ddeec32ea43"},"schema_version":"1.0","source":{"id":"2011.09594","kind":"arxiv","version":2}},"canonical_sha256":"e4274ca0e5c1667a2bfd5dc5c4b53fd3d59f33096b1fe7ad81c627df92365680","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4274ca0e5c1667a2bfd5dc5c4b53fd3d59f33096b1fe7ad81c627df92365680","first_computed_at":"2026-07-05T02:26:52.123056Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:26:52.123056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kuy4Ln18leftS3BYjP/c21Jtc09o3kXMZA6CQQYr9EHAccdbog9z3d9Na3zQMr8fCXv9tc44AQREXeYhaVk9DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:26:52.123533Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.09594","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9cf416272d67736993953903481cbbc5931ca6bd7da0ce99ed8d1e5d53e33c4c","sha256:711baeeda57198703a70a84317c74a8047bc90fc0f7c2b86efe3f8ea7187c550"],"state_sha256":"fe684fba5383b593ca16b0ffadb750ccce9c65b37520f68170d473d2f6b29b24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jIzUYMhFXFsTYI7BXbpngTf3PEFOmf2ezXXuGTuWgE9XXazXM4oSJPqL/wEVzoXwlfW6kWEIS6vpeQL6oHbnBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T19:54:32.629089Z","bundle_sha256":"e79f0a5db26814d5b9501d4630f66381a6d77c4009f5edbfc9b269a3250c072a"}}