{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5524N55TQ2TSOPXUM2LB5E6554","short_pith_number":"pith:5524N55T","canonical_record":{"source":{"id":"2605.28125","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T08:16:48Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"26378c822f659d7b3a2ea4ae3f67d3fc1d00b68e30ffafeeefc64d8dd196cafb","abstract_canon_sha256":"714e481982e81b1fd3df028b2d4656823070a36c668269090c70ce11a8724a70"},"schema_version":"1.0"},"canonical_sha256":"ef75c6f7b386a7273ef466961e93ddef1adc8a2ae972104b8d70c11a48d2e1b4","source":{"kind":"arxiv","id":"2605.28125","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28125","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28125v1","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28125","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"5524N55TQ2TS","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"5524N55TQ2TSOPXU","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"5524N55T","created_at":"2026-05-28T01:04:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5524N55TQ2TSOPXUM2LB5E6554","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28125","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T08:16:48Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"26378c822f659d7b3a2ea4ae3f67d3fc1d00b68e30ffafeeefc64d8dd196cafb","abstract_canon_sha256":"714e481982e81b1fd3df028b2d4656823070a36c668269090c70ce11a8724a70"},"schema_version":"1.0"},"canonical_sha256":"ef75c6f7b386a7273ef466961e93ddef1adc8a2ae972104b8d70c11a48d2e1b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:59.810925Z","signature_b64":"82tZ9Qp5qd9wB0Egd3yMjomTgEguWuMcoWJtGGQbAAZC1f6E3L8MAo9cnKIQaPT177D8WKH/PnpfiiNqtmNOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef75c6f7b386a7273ef466961e93ddef1adc8a2ae972104b8d70c11a48d2e1b4","last_reissued_at":"2026-05-28T01:04:59.810138Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:59.810138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28125","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":"2026-05-28T01:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XjXUgIYXgdh7Hx08tAgMgzXmZEIRkTnGvO8LpuW9wPeX//00Wi9bzE3VAmMYmFsRlBhI1Hf9igvBIPBJMh6hDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:43:43.210185Z"},"content_sha256":"463113527af89ebda1b046d9f7cb3fb593d5deb78672eca477cea0bc1aaebfd1","schema_version":"1.0","event_id":"sha256:463113527af89ebda1b046d9f7cb3fb593d5deb78672eca477cea0bc1aaebfd1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5524N55TQ2TSOPXUM2LB5E6554","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLEAR-NeRF: Collinearity and Local-region Enhanced Accurate 3D Reconstruction in Unbounded Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Elijs Dima, Gerg\\H{o} L\\'aszl\\'o Nagy, Isabel Salmer\\'on Marazuela, Sigurdur Sverrisson, Vladislav Polianskii, Volodya Grancharov","submitted_at":"2026-05-27T08:16:48Z","abstract_excerpt":"Many real-world 3D reconstruction applications demand photorealism and metric accuracy across unbounded, complex scenes with challenging lighting and imperfect captures that current Neural Radiance Field (NeRF) pipelines only partly satisfy. This study adapts NeRF-based 3D reconstruction to multi-region of interest unbounded scenes to improve robustness to lighting and pose variation while enforcing metric accuracy suitable for digital-twin applications. Our approach introduces (i) automated local region localization/detection and reconstruction to seamlessly prioritize areas of interest witho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28125","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/2605.28125/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":"2026-05-28T01:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bEfbDSxonXZY+ji+DqJr3thrGXnwzI0QCDeoCqGxnEPbvnHeuMFJCVnzSrpyVTlK269WzjGxbOmPqMm7kJ54DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:43:43.210576Z"},"content_sha256":"d179067d84967c41e9be500d7bc1c03a33e05d677acd8de0ef88cccf2dd32697","schema_version":"1.0","event_id":"sha256:d179067d84967c41e9be500d7bc1c03a33e05d677acd8de0ef88cccf2dd32697"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5524N55TQ2TSOPXUM2LB5E6554/bundle.json","state_url":"https://pith.science/pith/5524N55TQ2TSOPXUM2LB5E6554/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5524N55TQ2TSOPXUM2LB5E6554/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":"2026-07-07T14:43:43Z","links":{"resolver":"https://pith.science/pith/5524N55TQ2TSOPXUM2LB5E6554","bundle":"https://pith.science/pith/5524N55TQ2TSOPXUM2LB5E6554/bundle.json","state":"https://pith.science/pith/5524N55TQ2TSOPXUM2LB5E6554/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5524N55TQ2TSOPXUM2LB5E6554/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5524N55TQ2TSOPXUM2LB5E6554","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":"714e481982e81b1fd3df028b2d4656823070a36c668269090c70ce11a8724a70","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T08:16:48Z","title_canon_sha256":"26378c822f659d7b3a2ea4ae3f67d3fc1d00b68e30ffafeeefc64d8dd196cafb"},"schema_version":"1.0","source":{"id":"2605.28125","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28125","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28125v1","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28125","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"5524N55TQ2TS","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"5524N55TQ2TSOPXU","created_at":"2026-05-28T01:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"5524N55T","created_at":"2026-05-28T01:04:59Z"}],"graph_snapshots":[{"event_id":"sha256:d179067d84967c41e9be500d7bc1c03a33e05d677acd8de0ef88cccf2dd32697","target":"graph","created_at":"2026-05-28T01:04:59Z","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/2605.28125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many real-world 3D reconstruction applications demand photorealism and metric accuracy across unbounded, complex scenes with challenging lighting and imperfect captures that current Neural Radiance Field (NeRF) pipelines only partly satisfy. This study adapts NeRF-based 3D reconstruction to multi-region of interest unbounded scenes to improve robustness to lighting and pose variation while enforcing metric accuracy suitable for digital-twin applications. Our approach introduces (i) automated local region localization/detection and reconstruction to seamlessly prioritize areas of interest witho","authors_text":"Elijs Dima, Gerg\\H{o} L\\'aszl\\'o Nagy, Isabel Salmer\\'on Marazuela, Sigurdur Sverrisson, Vladislav Polianskii, Volodya Grancharov","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T08:16:48Z","title":"CLEAR-NeRF: Collinearity and Local-region Enhanced Accurate 3D Reconstruction in Unbounded Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28125","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":"sha256:463113527af89ebda1b046d9f7cb3fb593d5deb78672eca477cea0bc1aaebfd1","target":"record","created_at":"2026-05-28T01:04:59Z","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":"714e481982e81b1fd3df028b2d4656823070a36c668269090c70ce11a8724a70","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T08:16:48Z","title_canon_sha256":"26378c822f659d7b3a2ea4ae3f67d3fc1d00b68e30ffafeeefc64d8dd196cafb"},"schema_version":"1.0","source":{"id":"2605.28125","kind":"arxiv","version":1}},"canonical_sha256":"ef75c6f7b386a7273ef466961e93ddef1adc8a2ae972104b8d70c11a48d2e1b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef75c6f7b386a7273ef466961e93ddef1adc8a2ae972104b8d70c11a48d2e1b4","first_computed_at":"2026-05-28T01:04:59.810138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:59.810138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"82tZ9Qp5qd9wB0Egd3yMjomTgEguWuMcoWJtGGQbAAZC1f6E3L8MAo9cnKIQaPT177D8WKH/PnpfiiNqtmNOCA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:59.810925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28125","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:463113527af89ebda1b046d9f7cb3fb593d5deb78672eca477cea0bc1aaebfd1","sha256:d179067d84967c41e9be500d7bc1c03a33e05d677acd8de0ef88cccf2dd32697"],"state_sha256":"88ab31cfbfd469d831521bcbcfcc3c46811c08432cb11266b9a293b10fd579c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wajtFhQIDc1KTRJKqGe6WNYuFqoxg1VwtOovsulct527AJAxsvjCpZLskLKl8H76r1PAY7zsRHdLD+K7OlKDAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:43:43.212475Z","bundle_sha256":"d4f5b5814d6c10ce0283d6b647b8bd02ea6cead43e1a9ef8185c3396a4ec783d"}}