{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WQBQ6F6IDWDJ3TEJCLCERTHDLZ","short_pith_number":"pith:WQBQ6F6I","schema_version":"1.0","canonical_sha256":"b4030f17c81d869dcc8912c448cce35e5304ea049c921b28d6205ca4604f8702","source":{"kind":"arxiv","id":"2607.05354","version":1},"attestation_state":"computed","paper":{"title":"Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingyi Lu, Kai Han","submitted_at":"2026-07-06T17:32:04Z","abstract_excerpt":"Monocular-to-stereo conversion synthesizes stereoscopic content from 2D videos for immersive 3D experiences. In modern Depth-Image-Based Rendering (DIBR) approaches, stereo inpainting of disocclusions is the critical bottleneck. Training-based methods achieve superior quality but rely on scarce stereo pairs or synthetic data with domain gaps. We address this through the first self-supervised framework learning from monocular videos via cycle consistency. Our key contribution is the Geometric Reciprocity Theorem (GRT): under the nearest-neighbor DIBR formulation, the disocclusion mask when synt"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.05354","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T17:32:04Z","cross_cats_sorted":[],"title_canon_sha256":"f766ed3acb38dc58313241b9003b80f8097ecbe046cac2d957eb2b38920c2408","abstract_canon_sha256":"8bf110632950ebad5732cdf2ba3aff3b84927062da2cb607873360a0f2d6e249"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T03:19:24.620135Z","signature_b64":"Ahlnu6z5XGJ0hNm52zvPI2E9z/CF4OfZrWOQFydTkf6Ii03teu51N8VhFqh98HqShAEv8JkULN0nJK3Z+fRiCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4030f17c81d869dcc8912c448cce35e5304ea049c921b28d6205ca4604f8702","last_reissued_at":"2026-07-07T03:19:24.619654Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T03:19:24.619654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingyi Lu, Kai Han","submitted_at":"2026-07-06T17:32:04Z","abstract_excerpt":"Monocular-to-stereo conversion synthesizes stereoscopic content from 2D videos for immersive 3D experiences. In modern Depth-Image-Based Rendering (DIBR) approaches, stereo inpainting of disocclusions is the critical bottleneck. Training-based methods achieve superior quality but rely on scarce stereo pairs or synthetic data with domain gaps. We address this through the first self-supervised framework learning from monocular videos via cycle consistency. Our key contribution is the Geometric Reciprocity Theorem (GRT): under the nearest-neighbor DIBR formulation, the disocclusion mask when synt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05354","kind":"arxiv","version":1},"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/2607.05354/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.05354","created_at":"2026-07-07T03:19:24.619707+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.05354v1","created_at":"2026-07-07T03:19:24.619707+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05354","created_at":"2026-07-07T03:19:24.619707+00:00"},{"alias_kind":"pith_short_12","alias_value":"WQBQ6F6IDWDJ","created_at":"2026-07-07T03:19:24.619707+00:00"},{"alias_kind":"pith_short_16","alias_value":"WQBQ6F6IDWDJ3TEJ","created_at":"2026-07-07T03:19:24.619707+00:00"},{"alias_kind":"pith_short_8","alias_value":"WQBQ6F6I","created_at":"2026-07-07T03:19:24.619707+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ","json":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ.json","graph_json":"https://pith.science/api/pith-number/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/graph.json","events_json":"https://pith.science/api/pith-number/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/events.json","paper":"https://pith.science/paper/WQBQ6F6I"},"agent_actions":{"view_html":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ","download_json":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ.json","view_paper":"https://pith.science/paper/WQBQ6F6I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.05354&json=true","fetch_graph":"https://pith.science/api/pith-number/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/graph.json","fetch_events":"https://pith.science/api/pith-number/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/action/storage_attestation","attest_author":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/action/author_attestation","sign_citation":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/action/citation_signature","submit_replication":"https://pith.science/pith/WQBQ6F6IDWDJ3TEJCLCERTHDLZ/action/replication_record"}},"created_at":"2026-07-07T03:19:24.619707+00:00","updated_at":"2026-07-07T03:19:24.619707+00:00"}