{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RZZSCDDMJTETS6N25P7NSGRLBI","short_pith_number":"pith:RZZSCDDM","canonical_record":{"source":{"id":"1912.12874","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-30T10:45:57Z","cross_cats_sorted":[],"title_canon_sha256":"80d60905823d293dea37538569836e76f97d93ad509b2365873f130647554c30","abstract_canon_sha256":"ef5c9cc7aaaf98ab0ad9bf75a2a73075eb997988b484e863ffa629e44f1a5c9a"},"schema_version":"1.0"},"canonical_sha256":"8e73210c6c4cc93979baebfed91a2b0a1b7d3056e032815532d49f3851214610","source":{"kind":"arxiv","id":"1912.12874","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12874","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12874v2","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12874","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_12","alias_value":"RZZSCDDMJTET","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_16","alias_value":"RZZSCDDMJTETS6N2","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_8","alias_value":"RZZSCDDM","created_at":"2026-07-05T00:45:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RZZSCDDMJTETS6N25P7NSGRLBI","target":"record","payload":{"canonical_record":{"source":{"id":"1912.12874","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-30T10:45:57Z","cross_cats_sorted":[],"title_canon_sha256":"80d60905823d293dea37538569836e76f97d93ad509b2365873f130647554c30","abstract_canon_sha256":"ef5c9cc7aaaf98ab0ad9bf75a2a73075eb997988b484e863ffa629e44f1a5c9a"},"schema_version":"1.0"},"canonical_sha256":"8e73210c6c4cc93979baebfed91a2b0a1b7d3056e032815532d49f3851214610","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:45:17.899427Z","signature_b64":"IWTlSwe9/NAQKBg9DSqd04ji246cKYlB28T9jLDLllsSksbiB9irmelHNiDPKFtZr12K4DY8qSuqxdPGpkGMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e73210c6c4cc93979baebfed91a2b0a1b7d3056e032815532d49f3851214610","last_reissued_at":"2026-07-05T00:45:17.899020Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:45:17.899020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.12874","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":"2026-07-05T00:45:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MCarrkQwrFxBGkV7jYECX1ef4SajfPFFzQDCzhkuAu9t489/OEm3syVXLMBi5U2zvj0Qxtt4KnaGErX2T/7kBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:49:52.983669Z"},"content_sha256":"226ce6d91d3454d2ad05169fe827cd9eb40d0563c1439a8c4ef0a99ed1f48cb2","schema_version":"1.0","event_id":"sha256:226ce6d91d3454d2ad05169fe827cd9eb40d0563c1439a8c4ef0a99ed1f48cb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RZZSCDDMJTETS6N25P7NSGRLBI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Depth Estimation by Fusing Flow-to-Depth Proposals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyang Lei, Jiaxin Xie, Li Erran Li, Qifeng Chen, Zhuwen Li","submitted_at":"2019-12-30T10:45:57Z","abstract_excerpt":"Depth from a monocular video can enable billions of devices and robots with a single camera to see the world in 3D. In this paper, we present an approach with a differentiable flow-to-depth layer for video depth estimation. The model consists of a flow-to-depth layer, a camera pose refinement module, and a depth fusion network. Given optical flow and camera pose, our flow-to-depth layer generates depth proposals and the corresponding confidence maps by explicitly solving an epipolar geometry optimization problem. Our flow-to-depth layer is differentiable, and thus we can refine camera poses by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12874","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/1912.12874/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":"2026-07-05T00:45:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h6u/KB6IEDrXTQDlMVLzA2GTxR8mgLTtfnrWGdxDFZCodHQTNw1wBkkbndMw8NgouqbHpfZM54Me6297efcZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:49:52.984030Z"},"content_sha256":"a38629a4e251f8dfb35e684145e182a2f041b2bc7b18cd71df7b611e91eed297","schema_version":"1.0","event_id":"sha256:a38629a4e251f8dfb35e684145e182a2f041b2bc7b18cd71df7b611e91eed297"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RZZSCDDMJTETS6N25P7NSGRLBI/bundle.json","state_url":"https://pith.science/pith/RZZSCDDMJTETS6N25P7NSGRLBI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RZZSCDDMJTETS6N25P7NSGRLBI/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":"2026-07-07T14:49:52Z","links":{"resolver":"https://pith.science/pith/RZZSCDDMJTETS6N25P7NSGRLBI","bundle":"https://pith.science/pith/RZZSCDDMJTETS6N25P7NSGRLBI/bundle.json","state":"https://pith.science/pith/RZZSCDDMJTETS6N25P7NSGRLBI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RZZSCDDMJTETS6N25P7NSGRLBI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RZZSCDDMJTETS6N25P7NSGRLBI","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":"ef5c9cc7aaaf98ab0ad9bf75a2a73075eb997988b484e863ffa629e44f1a5c9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-30T10:45:57Z","title_canon_sha256":"80d60905823d293dea37538569836e76f97d93ad509b2365873f130647554c30"},"schema_version":"1.0","source":{"id":"1912.12874","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12874","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12874v2","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12874","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_12","alias_value":"RZZSCDDMJTET","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_16","alias_value":"RZZSCDDMJTETS6N2","created_at":"2026-07-05T00:45:17Z"},{"alias_kind":"pith_short_8","alias_value":"RZZSCDDM","created_at":"2026-07-05T00:45:17Z"}],"graph_snapshots":[{"event_id":"sha256:a38629a4e251f8dfb35e684145e182a2f041b2bc7b18cd71df7b611e91eed297","target":"graph","created_at":"2026-07-05T00:45:17Z","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/1912.12874/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth from a monocular video can enable billions of devices and robots with a single camera to see the world in 3D. In this paper, we present an approach with a differentiable flow-to-depth layer for video depth estimation. The model consists of a flow-to-depth layer, a camera pose refinement module, and a depth fusion network. Given optical flow and camera pose, our flow-to-depth layer generates depth proposals and the corresponding confidence maps by explicitly solving an epipolar geometry optimization problem. Our flow-to-depth layer is differentiable, and thus we can refine camera poses by","authors_text":"Chenyang Lei, Jiaxin Xie, Li Erran Li, Qifeng Chen, Zhuwen Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-30T10:45:57Z","title":"Video Depth Estimation by Fusing Flow-to-Depth Proposals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12874","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":"sha256:226ce6d91d3454d2ad05169fe827cd9eb40d0563c1439a8c4ef0a99ed1f48cb2","target":"record","created_at":"2026-07-05T00:45:17Z","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":"ef5c9cc7aaaf98ab0ad9bf75a2a73075eb997988b484e863ffa629e44f1a5c9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-30T10:45:57Z","title_canon_sha256":"80d60905823d293dea37538569836e76f97d93ad509b2365873f130647554c30"},"schema_version":"1.0","source":{"id":"1912.12874","kind":"arxiv","version":2}},"canonical_sha256":"8e73210c6c4cc93979baebfed91a2b0a1b7d3056e032815532d49f3851214610","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e73210c6c4cc93979baebfed91a2b0a1b7d3056e032815532d49f3851214610","first_computed_at":"2026-07-05T00:45:17.899020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:45:17.899020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IWTlSwe9/NAQKBg9DSqd04ji246cKYlB28T9jLDLllsSksbiB9irmelHNiDPKFtZr12K4DY8qSuqxdPGpkGMCA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:45:17.899427Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.12874","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:226ce6d91d3454d2ad05169fe827cd9eb40d0563c1439a8c4ef0a99ed1f48cb2","sha256:a38629a4e251f8dfb35e684145e182a2f041b2bc7b18cd71df7b611e91eed297"],"state_sha256":"68494c76c0c7146b38e43eaff9f167295c9e35526d6b905772c93de60801c2b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DH7NGqKqF2QNEQRFsTPb7WI0JpDOV0QiYN1tIFnvIJyYzhUvM1M4JY5k6CG0U2LqXOE5w5PuOAIri1LYME/KCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:49:52.985948Z","bundle_sha256":"114e8b237c1cbc82752ce9fec878e919b93ab9393cd4bd3d39e49f7cd4119afc"}}