{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:RDCOWKOGJHZ5WSAKE46RBU6IPS","short_pith_number":"pith:RDCOWKOG","canonical_record":{"source":{"id":"2006.09876","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-17T13:56:59Z","cross_cats_sorted":[],"title_canon_sha256":"ee4a8bf4c0ce751f25a689bde36aae5ad82ffc538876f4798090d42ed15404a0","abstract_canon_sha256":"569ef9a71a32a91cddd4d36eb0ac8e61e438590ebe75b12fa7dd448fa02d3395"},"schema_version":"1.0"},"canonical_sha256":"88c4eb29c649f3db480a273d10d3c87c9b23604b1539f89b80cdab94728e6dc4","source":{"kind":"arxiv","id":"2006.09876","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.09876","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"arxiv_version","alias_value":"2006.09876v3","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.09876","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_12","alias_value":"RDCOWKOGJHZ5","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_16","alias_value":"RDCOWKOGJHZ5WSAK","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_8","alias_value":"RDCOWKOG","created_at":"2026-07-05T01:13:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:RDCOWKOGJHZ5WSAKE46RBU6IPS","target":"record","payload":{"canonical_record":{"source":{"id":"2006.09876","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-17T13:56:59Z","cross_cats_sorted":[],"title_canon_sha256":"ee4a8bf4c0ce751f25a689bde36aae5ad82ffc538876f4798090d42ed15404a0","abstract_canon_sha256":"569ef9a71a32a91cddd4d36eb0ac8e61e438590ebe75b12fa7dd448fa02d3395"},"schema_version":"1.0"},"canonical_sha256":"88c4eb29c649f3db480a273d10d3c87c9b23604b1539f89b80cdab94728e6dc4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:13:45.370138Z","signature_b64":"wATQiiSL0BgEajPuxEVOc2rCBaeHDJQv+Mqh0ShbM3GHkCDsjvsQu5wFatJD2oSGGwDn9Blgjuqvxu4J3C32CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88c4eb29c649f3db480a273d10d3c87c9b23604b1539f89b80cdab94728e6dc4","last_reissued_at":"2026-07-05T01:13:45.369711Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:13:45.369711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.09876","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:13:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lzBXUFWx0gwTr80b5y1iXE7LCDrI0uDoN77pB+cqB5vSRP4HMatDfv2shhaWZOBUo7IF8ekEmFCJ8Aan8YKoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T02:29:59.542176Z"},"content_sha256":"d9c8a5b48ee68beebb41c1562dddc387dd7bb507147abaa7eaca20305cf54cb4","schema_version":"1.0","event_id":"sha256:d9c8a5b48ee68beebb41c1562dddc387dd7bb507147abaa7eaca20305cf54cb4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:RDCOWKOGJHZ5WSAKE46RBU6IPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ge Zhang, Jianrong Wang, Li Liu, Xuewei Li, Zhenyu Wu","submitted_at":"2020-06-17T13:56:59Z","abstract_excerpt":"In self-supervised monocular depth estimation, the depth discontinuity and motion objects' artifacts are still challenging problems. Existing self-supervised methods usually utilize a single view to train the depth estimation network. Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects. In this work, we propose a novel self-supervised joint learning framework for depth estimation using consecutive frames from monocular and stereo videos. The main idea is using an implicit depth cue extractor whi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.09876","kind":"arxiv","version":3},"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/2006.09876/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":"2026-07-05T01:13:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JoHBFQ36rXtn+gY/VV3WBzxq+p2harN+Zh3IrNJKbjYqN/SaFJkTwc6rNxg1N1JMIgZzTJIfN/3U8fXmeF3/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T02:29:59.542576Z"},"content_sha256":"7d24e96f88f02d3e05f4d7dbfa21d49a1c550145532b42691bb9d480b7186a8e","schema_version":"1.0","event_id":"sha256:7d24e96f88f02d3e05f4d7dbfa21d49a1c550145532b42691bb9d480b7186a8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/bundle.json","state_url":"https://pith.science/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/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":"2026-07-16T02:29:59Z","links":{"resolver":"https://pith.science/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS","bundle":"https://pith.science/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/bundle.json","state":"https://pith.science/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RDCOWKOGJHZ5WSAKE46RBU6IPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RDCOWKOGJHZ5WSAKE46RBU6IPS","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":"569ef9a71a32a91cddd4d36eb0ac8e61e438590ebe75b12fa7dd448fa02d3395","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-17T13:56:59Z","title_canon_sha256":"ee4a8bf4c0ce751f25a689bde36aae5ad82ffc538876f4798090d42ed15404a0"},"schema_version":"1.0","source":{"id":"2006.09876","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.09876","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"arxiv_version","alias_value":"2006.09876v3","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.09876","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_12","alias_value":"RDCOWKOGJHZ5","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_16","alias_value":"RDCOWKOGJHZ5WSAK","created_at":"2026-07-05T01:13:45Z"},{"alias_kind":"pith_short_8","alias_value":"RDCOWKOG","created_at":"2026-07-05T01:13:45Z"}],"graph_snapshots":[{"event_id":"sha256:7d24e96f88f02d3e05f4d7dbfa21d49a1c550145532b42691bb9d480b7186a8e","target":"graph","created_at":"2026-07-05T01:13:45Z","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/2006.09876/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In self-supervised monocular depth estimation, the depth discontinuity and motion objects' artifacts are still challenging problems. Existing self-supervised methods usually utilize a single view to train the depth estimation network. Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects. In this work, we propose a novel self-supervised joint learning framework for depth estimation using consecutive frames from monocular and stereo videos. The main idea is using an implicit depth cue extractor whi","authors_text":"Ge Zhang, Jianrong Wang, Li Liu, Xuewei Li, Zhenyu Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-17T13:56:59Z","title":"Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.09876","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:d9c8a5b48ee68beebb41c1562dddc387dd7bb507147abaa7eaca20305cf54cb4","target":"record","created_at":"2026-07-05T01:13:45Z","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":"569ef9a71a32a91cddd4d36eb0ac8e61e438590ebe75b12fa7dd448fa02d3395","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-17T13:56:59Z","title_canon_sha256":"ee4a8bf4c0ce751f25a689bde36aae5ad82ffc538876f4798090d42ed15404a0"},"schema_version":"1.0","source":{"id":"2006.09876","kind":"arxiv","version":3}},"canonical_sha256":"88c4eb29c649f3db480a273d10d3c87c9b23604b1539f89b80cdab94728e6dc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88c4eb29c649f3db480a273d10d3c87c9b23604b1539f89b80cdab94728e6dc4","first_computed_at":"2026-07-05T01:13:45.369711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:13:45.369711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wATQiiSL0BgEajPuxEVOc2rCBaeHDJQv+Mqh0ShbM3GHkCDsjvsQu5wFatJD2oSGGwDn9Blgjuqvxu4J3C32CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:13:45.370138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.09876","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9c8a5b48ee68beebb41c1562dddc387dd7bb507147abaa7eaca20305cf54cb4","sha256:7d24e96f88f02d3e05f4d7dbfa21d49a1c550145532b42691bb9d480b7186a8e"],"state_sha256":"733ee808fdd26a8908f401660842220a0905b069fec77258467d3ae50c62d0d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4lovzVtRGYCGP9Os1O34BZwlgVuUhsXMC4tcwX7d2yPUKRF1yiOYQAhmUa4Vl/WCuhtwfR16NB8RDXEZw78dDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T02:29:59.551476Z","bundle_sha256":"a557fd6cdaeac130924103dd23c1af9357b3c2d7206936e56624b82f84875ab0"}}