{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:L5HD3Z7DGPAL3C3PPASWXPOUPJ","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":"3160615aa122587ad23d64b7b83c9d99ba046417a232898051c8eccf345eb6ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T08:02:47Z","title_canon_sha256":"b612ad379c2f0393656661bfb81cfa4140beb2561f081c774379095aca93b700"},"schema_version":"1.0","source":{"id":"2408.15608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15608","created_at":"2026-07-05T09:00:14Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15608v1","created_at":"2026-07-05T09:00:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15608","created_at":"2026-07-05T09:00:14Z"},{"alias_kind":"pith_short_12","alias_value":"L5HD3Z7DGPAL","created_at":"2026-07-05T09:00:14Z"},{"alias_kind":"pith_short_16","alias_value":"L5HD3Z7DGPAL3C3P","created_at":"2026-07-05T09:00:14Z"},{"alias_kind":"pith_short_8","alias_value":"L5HD3Z7D","created_at":"2026-07-05T09:00:14Z"}],"graph_snapshots":[{"event_id":"sha256:2fbf0e26b61ca845cb6a4defc564a10c9cce12d5e2b04186bffc6842ee1a0f4d","target":"graph","created_at":"2026-07-05T09:00:14Z","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/2408.15608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In addition to color and textural information, geometry provides important cues for 3D scene reconstruction. However, current reconstruction methods only include geometry at the feature level thus not fully exploiting the geometric information.\n  In contrast, this paper proposes a novel geometry integration mechanism for 3D scene reconstruction. Our approach incorporates 3D geometry at three levels, i.e. feature learning, feature fusion, and network supervision. First, geometry-guided feature learning encodes geometric priors to contain view-dependent information. Second, a geometry-guided ada","authors_text":"Ruihong Yin, Sezer Karaoglu, Theo Gevers","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T08:02:47Z","title":"Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15608","kind":"arxiv","version":1},"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":"sha256:1f27094ccceea1e507054bf0dfe93ff64ed6fa07382c8e830f6fa1bb6eb7c54e","target":"record","created_at":"2026-07-05T09:00:14Z","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":"3160615aa122587ad23d64b7b83c9d99ba046417a232898051c8eccf345eb6ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T08:02:47Z","title_canon_sha256":"b612ad379c2f0393656661bfb81cfa4140beb2561f081c774379095aca93b700"},"schema_version":"1.0","source":{"id":"2408.15608","kind":"arxiv","version":1}},"canonical_sha256":"5f4e3de7e333c0bd8b6f78256bbdd47a58616880067fb0a2d54a492d42ce07ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f4e3de7e333c0bd8b6f78256bbdd47a58616880067fb0a2d54a492d42ce07ad","first_computed_at":"2026-07-05T09:00:14.558734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:14.558734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8SV3FoGkSrjSnRFAdjgVwiTjpv9GGnuhJiP/T94VD/Lx1ngxTEqEC/9FhFgJywALrwYns2s0JEYOp/d2Cr1MBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:14.559149Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f27094ccceea1e507054bf0dfe93ff64ed6fa07382c8e830f6fa1bb6eb7c54e","sha256:2fbf0e26b61ca845cb6a4defc564a10c9cce12d5e2b04186bffc6842ee1a0f4d"],"state_sha256":"1c7307212cd5c475a69a1f00b437796104c99ff28b4fcab4533f47121b735c83"}