{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CDTGSM35HGFTDQ3XVWAGDGLOG3","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":"1314633633da576e2ded6ace64cc66ecc48a1d5f2cded79aac2c09b59b4317ad","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-26T14:29:05Z","title_canon_sha256":"f870d5bdb187321363ba108d6c0670662b3532e60b1014275436508ce9dcc67e"},"schema_version":"1.0","source":{"id":"2406.18387","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.18387","created_at":"2026-07-05T08:43:56Z"},{"alias_kind":"arxiv_version","alias_value":"2406.18387v2","created_at":"2026-07-05T08:43:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.18387","created_at":"2026-07-05T08:43:56Z"},{"alias_kind":"pith_short_12","alias_value":"CDTGSM35HGFT","created_at":"2026-07-05T08:43:56Z"},{"alias_kind":"pith_short_16","alias_value":"CDTGSM35HGFTDQ3X","created_at":"2026-07-05T08:43:56Z"},{"alias_kind":"pith_short_8","alias_value":"CDTGSM35","created_at":"2026-07-05T08:43:56Z"}],"graph_snapshots":[{"event_id":"sha256:5f9480520ca957ef699c8e5b29e42f8db09c663061a4e0e611956061c3074b26","target":"graph","created_at":"2026-07-05T08:43:56Z","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/2406.18387/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating depth from a sequence of posed RGB images is a fundamental computer vision task, with applications in augmented reality, path planning etc. Prior work typically makes use of previous frames in a multi view stereo framework, relying on matching textures in a local neighborhood. In contrast, our model leverages historical predictions by giving the latest 3D geometry data as an extra input to our network. This self-generated geometric hint can encode information from areas of the scene not covered by the keyframes and it is more regularized when compared to individual predicted depth m","authors_text":"Filippo Aleotti, Gabriel Brostow, Guillermo Garcia-Hernando, Jamie Watson, Michael Firman, Mohamed Sayed, Sara Vicente, Zawar Qureshi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-26T14:29:05Z","title":"DoubleTake: Geometry Guided Depth Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.18387","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":"sha256:61753b257bbf4e4117ba07565943c9f3a993cb656e62ae64a0b13fc75576c9f0","target":"record","created_at":"2026-07-05T08:43:56Z","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":"1314633633da576e2ded6ace64cc66ecc48a1d5f2cded79aac2c09b59b4317ad","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-26T14:29:05Z","title_canon_sha256":"f870d5bdb187321363ba108d6c0670662b3532e60b1014275436508ce9dcc67e"},"schema_version":"1.0","source":{"id":"2406.18387","kind":"arxiv","version":2}},"canonical_sha256":"10e669337d398b31c377ad8061996e36c54deec189ed22866458b510671d3bf6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10e669337d398b31c377ad8061996e36c54deec189ed22866458b510671d3bf6","first_computed_at":"2026-07-05T08:43:56.476444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:56.476444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yniaLUJju+fVgy5BbBWKDwNCXBbProg3SJpqZmTEvrFcdBycsofZ/PHFlnZdi112OxAyTaGFM292AcS6HU6rAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:56.476877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.18387","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61753b257bbf4e4117ba07565943c9f3a993cb656e62ae64a0b13fc75576c9f0","sha256:5f9480520ca957ef699c8e5b29e42f8db09c663061a4e0e611956061c3074b26"],"state_sha256":"bae0866e41fdbf59eb084727e71fdc3a76b3472f78a97408e643b14d8cf514d0"}