{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z5QHIECL3NC6TZ7KHKBNRPWF4I","short_pith_number":"pith:Z5QHIECL","canonical_record":{"source":{"id":"2501.01196","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-02T11:17:32Z","cross_cats_sorted":[],"title_canon_sha256":"8847eed40c9094ff26d9e4ddec795d48d9163147abb898fc6b3717374b094c57","abstract_canon_sha256":"0dc1a2e9a22e7e18c4ea65fc45c91ca36460b02499251a9eb4df8fa328a92dd6"},"schema_version":"1.0"},"canonical_sha256":"cf6074104bdb45e9e7ea3a82d8bec5e208a5563c45de76c01fb3353bb7ceed64","source":{"kind":"arxiv","id":"2501.01196","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01196","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01196v1","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01196","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_12","alias_value":"Z5QHIECL3NC6","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_16","alias_value":"Z5QHIECL3NC6TZ7K","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_8","alias_value":"Z5QHIECL","created_at":"2026-07-05T09:56:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z5QHIECL3NC6TZ7KHKBNRPWF4I","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01196","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-02T11:17:32Z","cross_cats_sorted":[],"title_canon_sha256":"8847eed40c9094ff26d9e4ddec795d48d9163147abb898fc6b3717374b094c57","abstract_canon_sha256":"0dc1a2e9a22e7e18c4ea65fc45c91ca36460b02499251a9eb4df8fa328a92dd6"},"schema_version":"1.0"},"canonical_sha256":"cf6074104bdb45e9e7ea3a82d8bec5e208a5563c45de76c01fb3353bb7ceed64","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:16.095149Z","signature_b64":"5/CkV1v+/zdv/5z3eOEJGatlTkw/OGbsux2vx/YwtkHG/XQDDd/UsVe0IiM4WroJaS7Ug6ZojOBB96SmeR3gCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf6074104bdb45e9e7ea3a82d8bec5e208a5563c45de76c01fb3353bb7ceed64","last_reissued_at":"2026-07-05T09:56:16.094716Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:16.094716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01196","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":"2026-07-05T09:56:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2bboYpTmgv00SJVurC/5MFQqgq1lG4vrYn9IYIXFtGlGii2TTj6TtHz3YycymT9HCQRFlqfcT+QM6lwnCH5/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:55:17.955096Z"},"content_sha256":"d604f80ea44023c60b5564647d83a62a17fe7de42a12efe35617b5a979cb1372","schema_version":"1.0","event_id":"sha256:d604f80ea44023c60b5564647d83a62a17fe7de42a12efe35617b5a979cb1372"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z5QHIECL3NC6TZ7KHKBNRPWF4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Deng, Ge Gao, Han Huang, Ming Gu, Wenyuan Zhang, Yulun Wu, Yu-Shen Liu","submitted_at":"2025-01-02T11:17:32Z","abstract_excerpt":"In recent years, reconstructing indoor scene geometry from multi-view images has achieved encouraging accomplishments. Current methods incorporate monocular priors into neural implicit surface models to achieve high-quality reconstructions. However, these methods require hundreds of images for scene reconstruction. When only a limited number of views are available as input, the performance of monocular priors deteriorates due to scale ambiguity, leading to the collapse of the reconstructed scene geometry. In this paper, we propose a new method, named Sparis, for indoor surface reconstruction f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01196","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/2501.01196/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":"2026-07-05T09:56:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"akbzuE7U1RZmWek5uoCyohsfZZvj1Kh3NEFFSqZ+UTeIyqWfMFQka+5fqROowsqC7dtXpdSFXcKt+sdV/aLzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:55:17.955805Z"},"content_sha256":"74a6112461fa43987e080eece0a7ea61a629ec3abe31d3482aa351df617c8156","schema_version":"1.0","event_id":"sha256:74a6112461fa43987e080eece0a7ea61a629ec3abe31d3482aa351df617c8156"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/bundle.json","state_url":"https://pith.science/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/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":"2026-08-22T06:55:17Z","links":{"resolver":"https://pith.science/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I","bundle":"https://pith.science/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/bundle.json","state":"https://pith.science/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z5QHIECL3NC6TZ7KHKBNRPWF4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z5QHIECL3NC6TZ7KHKBNRPWF4I","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":"0dc1a2e9a22e7e18c4ea65fc45c91ca36460b02499251a9eb4df8fa328a92dd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-02T11:17:32Z","title_canon_sha256":"8847eed40c9094ff26d9e4ddec795d48d9163147abb898fc6b3717374b094c57"},"schema_version":"1.0","source":{"id":"2501.01196","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01196","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01196v1","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01196","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_12","alias_value":"Z5QHIECL3NC6","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_16","alias_value":"Z5QHIECL3NC6TZ7K","created_at":"2026-07-05T09:56:16Z"},{"alias_kind":"pith_short_8","alias_value":"Z5QHIECL","created_at":"2026-07-05T09:56:16Z"}],"graph_snapshots":[{"event_id":"sha256:74a6112461fa43987e080eece0a7ea61a629ec3abe31d3482aa351df617c8156","target":"graph","created_at":"2026-07-05T09:56:16Z","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/2501.01196/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, reconstructing indoor scene geometry from multi-view images has achieved encouraging accomplishments. Current methods incorporate monocular priors into neural implicit surface models to achieve high-quality reconstructions. However, these methods require hundreds of images for scene reconstruction. When only a limited number of views are available as input, the performance of monocular priors deteriorates due to scale ambiguity, leading to the collapse of the reconstructed scene geometry. In this paper, we propose a new method, named Sparis, for indoor surface reconstruction f","authors_text":"Chao Deng, Ge Gao, Han Huang, Ming Gu, Wenyuan Zhang, Yulun Wu, Yu-Shen Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-02T11:17:32Z","title":"Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01196","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:d604f80ea44023c60b5564647d83a62a17fe7de42a12efe35617b5a979cb1372","target":"record","created_at":"2026-07-05T09:56:16Z","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":"0dc1a2e9a22e7e18c4ea65fc45c91ca36460b02499251a9eb4df8fa328a92dd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-02T11:17:32Z","title_canon_sha256":"8847eed40c9094ff26d9e4ddec795d48d9163147abb898fc6b3717374b094c57"},"schema_version":"1.0","source":{"id":"2501.01196","kind":"arxiv","version":1}},"canonical_sha256":"cf6074104bdb45e9e7ea3a82d8bec5e208a5563c45de76c01fb3353bb7ceed64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf6074104bdb45e9e7ea3a82d8bec5e208a5563c45de76c01fb3353bb7ceed64","first_computed_at":"2026-07-05T09:56:16.094716Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:16.094716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5/CkV1v+/zdv/5z3eOEJGatlTkw/OGbsux2vx/YwtkHG/XQDDd/UsVe0IiM4WroJaS7Ug6ZojOBB96SmeR3gCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:16.095149Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01196","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d604f80ea44023c60b5564647d83a62a17fe7de42a12efe35617b5a979cb1372","sha256:74a6112461fa43987e080eece0a7ea61a629ec3abe31d3482aa351df617c8156"],"state_sha256":"f77f0c151398ba113b9af03e0d3c33d665c4a6e5e8f3efc16865b89fe6d9ed97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aIRIxlWNANOBp+tn2eAC9aCIznHgoRKYrNbr4tqF71QNWYnGcuHuuYJqcCc9ul1YZXrvCDdxmlGRDXxLAsbvCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T06:55:17.961944Z","bundle_sha256":"91d24e41f58a7dff7424f015391889350edc28b0a759017cb90ded695fca9e7b"}}