{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:T6ELN2SPLYYVNFZN6B4CLMJI6R","short_pith_number":"pith:T6ELN2SP","schema_version":"1.0","canonical_sha256":"9f88b6ea4f5e3156972df07825b128f462a57795ba9ea283158761dce512e199","source":{"kind":"arxiv","id":"2301.09060","version":3},"attestation_state":"computed","paper":{"title":"3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Basilio Caruso, Ryan T. White, Todd Steffen, Trupti Mahendrakar, Van Minh Nguyen","submitted_at":"2023-01-22T05:26:08Z","abstract_excerpt":"The proliferation of non-cooperative resident space objects (RSOs) in orbit has spurred the demand for active space debris removal, on-orbit servicing (OOS), classification, and functionality identification of these RSOs. Recent advances in computer vision have enabled high-definition 3D modeling of objects based on a set of 2D images captured from different viewing angles. This work adapts Instant NeRF and D-NeRF, variations of the neural radiance field (NeRF) algorithm to the problem of mapping RSOs in orbit for the purposes of functionality identification and assisting with OOS. The algorit"},"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":"2301.09060","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-22T05:26:08Z","cross_cats_sorted":[],"title_canon_sha256":"0a41d34dae03a92096d6b45d98853b2f235efd25c487d5ebcb4bf849154d91aa","abstract_canon_sha256":"166e89d9649cd62677cc0621866ed376ef582d6d23ae88c90c933b69402cb5a8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:17.987160Z","signature_b64":"1IKQQ5jzT2PJ5+htD7g9Mg8n9ksq08ASPozhnpsr4X2ZpV9HXNkeDKARnBB66ffGZ+GNJ8oyIJ6WvYVVN0kLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f88b6ea4f5e3156972df07825b128f462a57795ba9ea283158761dce512e199","last_reissued_at":"2026-07-05T06:19:17.986768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:17.986768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Basilio Caruso, Ryan T. White, Todd Steffen, Trupti Mahendrakar, Van Minh Nguyen","submitted_at":"2023-01-22T05:26:08Z","abstract_excerpt":"The proliferation of non-cooperative resident space objects (RSOs) in orbit has spurred the demand for active space debris removal, on-orbit servicing (OOS), classification, and functionality identification of these RSOs. Recent advances in computer vision have enabled high-definition 3D modeling of objects based on a set of 2D images captured from different viewing angles. This work adapts Instant NeRF and D-NeRF, variations of the neural radiance field (NeRF) algorithm to the problem of mapping RSOs in orbit for the purposes of functionality identification and assisting with OOS. The algorit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.09060","kind":"arxiv","version":3},"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/2301.09060/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":"2301.09060","created_at":"2026-07-05T06:19:17.986826+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.09060v3","created_at":"2026-07-05T06:19:17.986826+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.09060","created_at":"2026-07-05T06:19:17.986826+00:00"},{"alias_kind":"pith_short_12","alias_value":"T6ELN2SPLYYV","created_at":"2026-07-05T06:19:17.986826+00:00"},{"alias_kind":"pith_short_16","alias_value":"T6ELN2SPLYYVNFZN","created_at":"2026-07-05T06:19:17.986826+00:00"},{"alias_kind":"pith_short_8","alias_value":"T6ELN2SP","created_at":"2026-07-05T06:19:17.986826+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.18447","citing_title":"NeRF-based Spacecraft Reconstruction from Monocular Imagery Under Illumination Variability and Pose Uncertainty","ref_index":27,"is_internal_anchor":false},{"citing_arxiv_id":"2605.18447","citing_title":"NeRF-based Spacecraft Reconstruction from Monocular Imagery Under Illumination Variability and Pose Uncertainty","ref_index":27,"is_internal_anchor":false},{"citing_arxiv_id":"2605.00147","citing_title":"From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects","ref_index":16,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R","json":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R.json","graph_json":"https://pith.science/api/pith-number/T6ELN2SPLYYVNFZN6B4CLMJI6R/graph.json","events_json":"https://pith.science/api/pith-number/T6ELN2SPLYYVNFZN6B4CLMJI6R/events.json","paper":"https://pith.science/paper/T6ELN2SP"},"agent_actions":{"view_html":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R","download_json":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R.json","view_paper":"https://pith.science/paper/T6ELN2SP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.09060&json=true","fetch_graph":"https://pith.science/api/pith-number/T6ELN2SPLYYVNFZN6B4CLMJI6R/graph.json","fetch_events":"https://pith.science/api/pith-number/T6ELN2SPLYYVNFZN6B4CLMJI6R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R/action/storage_attestation","attest_author":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R/action/author_attestation","sign_citation":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R/action/citation_signature","submit_replication":"https://pith.science/pith/T6ELN2SPLYYVNFZN6B4CLMJI6R/action/replication_record"}},"created_at":"2026-07-05T06:19:17.986826+00:00","updated_at":"2026-07-05T06:19:17.986826+00:00"}