{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TQS5JMWTJ45VQAYKW6QT6KYNDT","short_pith_number":"pith:TQS5JMWT","canonical_record":{"source":{"id":"2303.09152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:02Z","cross_cats_sorted":[],"title_canon_sha256":"bdf8b982dbd1416569b4f5b7f3bc89b4fc4eac6253b9d65448cb7ab9cda04d4c","abstract_canon_sha256":"79731cce26f6a316584919662463bbb549d7a32b4b5bb2788833265e5fb0c295"},"schema_version":"1.0"},"canonical_sha256":"9c25d4b2d34f3b58030ab7a13f2b0d1cf9d3987cc5cc69f17b7e28f2d40080d4","source":{"kind":"arxiv","id":"2303.09152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09152","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09152v1","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09152","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"TQS5JMWTJ45V","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQS5JMWTJ45VQAYK","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQS5JMWT","created_at":"2026-07-05T05:51:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TQS5JMWTJ45VQAYKW6QT6KYNDT","target":"record","payload":{"canonical_record":{"source":{"id":"2303.09152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:02Z","cross_cats_sorted":[],"title_canon_sha256":"bdf8b982dbd1416569b4f5b7f3bc89b4fc4eac6253b9d65448cb7ab9cda04d4c","abstract_canon_sha256":"79731cce26f6a316584919662463bbb549d7a32b4b5bb2788833265e5fb0c295"},"schema_version":"1.0"},"canonical_sha256":"9c25d4b2d34f3b58030ab7a13f2b0d1cf9d3987cc5cc69f17b7e28f2d40080d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:51:49.451506Z","signature_b64":"41Yx9mTU4ryIb2DNNQHYTiaAl+WZ3c25uVIbTgDxd1QwI5Y7rsXUX0NjPVnoyQkhdXQrFUqtlfgmItyYtZt1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c25d4b2d34f3b58030ab7a13f2b0d1cf9d3987cc5cc69f17b7e28f2d40080d4","last_reissued_at":"2026-07-05T05:51:49.451088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:51:49.451088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.09152","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pzyg0I6r9x+q1R0Rmb/zTUERm5rSCmW3x8/r+jaUpJ4FHHDb+L9z5quK8tgVQrqUCUbtMNNN4Ls1INg9eA2dAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:59:23.559270Z"},"content_sha256":"8001be2a237a20bb698e745218d14880f528c6b4f62ceae6239b2730d9fd5df6","schema_version":"1.0","event_id":"sha256:8001be2a237a20bb698e745218d14880f528c6b4f62ceae6239b2730d9fd5df6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TQS5JMWTJ45VQAYKW6QT6KYNDT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongyu Yan, Peng Dai, Xiaojuan Qi, Xiaoyang Lyu, Yifan Peng, Yi Lin, Zizhang Li","submitted_at":"2023-03-16T08:34:02Z","abstract_excerpt":"Implicit neural rendering, which uses signed distance function (SDF) representation with geometric priors (such as depth or surface normal), has led to impressive progress in the surface reconstruction of large-scale scenes. However, applying this method to reconstruct a room-level scene from images may miss structures in low-intensity areas or small and thin objects. We conducted experiments on three datasets to identify limitations of the original color rendering loss and priors-embedded SDF scene representation.\n  We found that the color rendering loss results in optimization bias against l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09152","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/2303.09152/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":"2026-07-05T05:51:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c5hKTy8KtOy2TEQgk3FxMJ7GepqRbmgUD4UJpt9tsyyYSde4dQxTkGXuI1XeOiWnmGGCFemMG6dCVGNglBWOAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:59:23.559923Z"},"content_sha256":"72e11e6a61951c1d0b6628aa8aa40dfc40e4854165357d03d7b48e5974c9042c","schema_version":"1.0","event_id":"sha256:72e11e6a61951c1d0b6628aa8aa40dfc40e4854165357d03d7b48e5974c9042c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/bundle.json","state_url":"https://pith.science/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/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":"2026-08-21T00:59:23Z","links":{"resolver":"https://pith.science/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT","bundle":"https://pith.science/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/bundle.json","state":"https://pith.science/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TQS5JMWTJ45VQAYKW6QT6KYNDT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TQS5JMWTJ45VQAYKW6QT6KYNDT","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":"79731cce26f6a316584919662463bbb549d7a32b4b5bb2788833265e5fb0c295","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:02Z","title_canon_sha256":"bdf8b982dbd1416569b4f5b7f3bc89b4fc4eac6253b9d65448cb7ab9cda04d4c"},"schema_version":"1.0","source":{"id":"2303.09152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09152","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09152v1","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09152","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"TQS5JMWTJ45V","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQS5JMWTJ45VQAYK","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQS5JMWT","created_at":"2026-07-05T05:51:49Z"}],"graph_snapshots":[{"event_id":"sha256:72e11e6a61951c1d0b6628aa8aa40dfc40e4854165357d03d7b48e5974c9042c","target":"graph","created_at":"2026-07-05T05:51:49Z","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/2303.09152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit neural rendering, which uses signed distance function (SDF) representation with geometric priors (such as depth or surface normal), has led to impressive progress in the surface reconstruction of large-scale scenes. However, applying this method to reconstruct a room-level scene from images may miss structures in low-intensity areas or small and thin objects. We conducted experiments on three datasets to identify limitations of the original color rendering loss and priors-embedded SDF scene representation.\n  We found that the color rendering loss results in optimization bias against l","authors_text":"Dongyu Yan, Peng Dai, Xiaojuan Qi, Xiaoyang Lyu, Yifan Peng, Yi Lin, Zizhang Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:02Z","title":"Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09152","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":"sha256:8001be2a237a20bb698e745218d14880f528c6b4f62ceae6239b2730d9fd5df6","target":"record","created_at":"2026-07-05T05:51:49Z","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":"79731cce26f6a316584919662463bbb549d7a32b4b5bb2788833265e5fb0c295","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:02Z","title_canon_sha256":"bdf8b982dbd1416569b4f5b7f3bc89b4fc4eac6253b9d65448cb7ab9cda04d4c"},"schema_version":"1.0","source":{"id":"2303.09152","kind":"arxiv","version":1}},"canonical_sha256":"9c25d4b2d34f3b58030ab7a13f2b0d1cf9d3987cc5cc69f17b7e28f2d40080d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c25d4b2d34f3b58030ab7a13f2b0d1cf9d3987cc5cc69f17b7e28f2d40080d4","first_computed_at":"2026-07-05T05:51:49.451088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:49.451088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"41Yx9mTU4ryIb2DNNQHYTiaAl+WZ3c25uVIbTgDxd1QwI5Y7rsXUX0NjPVnoyQkhdXQrFUqtlfgmItyYtZt1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:49.451506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.09152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8001be2a237a20bb698e745218d14880f528c6b4f62ceae6239b2730d9fd5df6","sha256:72e11e6a61951c1d0b6628aa8aa40dfc40e4854165357d03d7b48e5974c9042c"],"state_sha256":"762c1a0e4d5132d5b8b671cddce2b771c35d01b6ba556d6e15615de517d570ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mpyZjxHEpJiPXaI0xdWRBdmlPlBFA36VwOL4JNBujZJUMmiOBSs3g3+L5YUKhrak9tbNyxLrcwz7GnUPxj95Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T00:59:23.565146Z","bundle_sha256":"f7482d59d18ccabc26bfe8d31cc17a3a24f48f7b0588e639e2fa5df8f26976ea"}}