{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HTPYCGEUVK2OTQGXBG5VDYYSCT","short_pith_number":"pith:HTPYCGEU","canonical_record":{"source":{"id":"2303.05512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-09T18:59:50Z","cross_cats_sorted":["cs.AI","cs.GR","cs.LG","cs.RO"],"title_canon_sha256":"0afbcecbd872583036647b82ae74d16d2ff60ba177a6cdb0ec7a15c6533a98a0","abstract_canon_sha256":"f29567fa92a7ace8a48f8ec2e2d7bb69cbac56f4ab5191843c03a5079a0f9a27"},"schema_version":"1.0"},"canonical_sha256":"3cdf811894aab4e9c0d709bb51e31214ccf7919f3bb5e6f8819936da2d9df5f8","source":{"kind":"arxiv","id":"2303.05512","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.05512","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"arxiv_version","alias_value":"2303.05512v1","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05512","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_12","alias_value":"HTPYCGEUVK2O","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_16","alias_value":"HTPYCGEUVK2OTQGX","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_8","alias_value":"HTPYCGEU","created_at":"2026-07-05T05:49:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HTPYCGEUVK2OTQGXBG5VDYYSCT","target":"record","payload":{"canonical_record":{"source":{"id":"2303.05512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-09T18:59:50Z","cross_cats_sorted":["cs.AI","cs.GR","cs.LG","cs.RO"],"title_canon_sha256":"0afbcecbd872583036647b82ae74d16d2ff60ba177a6cdb0ec7a15c6533a98a0","abstract_canon_sha256":"f29567fa92a7ace8a48f8ec2e2d7bb69cbac56f4ab5191843c03a5079a0f9a27"},"schema_version":"1.0"},"canonical_sha256":"3cdf811894aab4e9c0d709bb51e31214ccf7919f3bb5e6f8819936da2d9df5f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:41.953716Z","signature_b64":"2XfAgZTjN0lugcN59NwXQ6zDizxfClOjYgoaDpCNA9palRwRXTMv1uWFeubz5TJ8iEyWKTlND6swgkECRRu5DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3cdf811894aab4e9c0d709bb51e31214ccf7919f3bb5e6f8819936da2d9df5f8","last_reissued_at":"2026-07-05T05:49:41.953205Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:41.953205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.05512","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":"2026-07-05T05:49:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u1iuxrI7PvY4UOtlJP/aEj+YPtc/OIQnWPnpoiRXgkT4oAlHZB4pObSm0ClvHlB54BEFp8iH76t53Dz5jJBZDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:59:23.868465Z"},"content_sha256":"1df47e0217d1a6d4c0d95ebfd4a360412e6e0474ad0374f365d08798827383dd","schema_version":"1.0","event_id":"sha256:1df47e0217d1a6d4c0d95ebfd4a360412e6e0474ad0374f365d08798827383dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HTPYCGEUVK2OTQGXBG5VDYYSCT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.GR","cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Chenfanfu Jiang, Chuang Gan, Krishna Murthy Jatavallabhula, Ming Lin, Peter Yichen Chen, Xuan Li, Yi-Ling Qiao","submitted_at":"2023-03-09T18:59:50Z","abstract_excerpt":"Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a vast majority of scenes where object geometries are complex or unknown. In this work, we aim to identify parameters characterizing a physical system from a set of multi-view videos without any assumption on object geometry or topology. To this end, we propose \"Physics Augmented Continuum Neural Radiance Fields\" (PAC-NeRF), to estimate both the unknown geometry and physical parameters of highly dynamic objects from mul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05512","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/2303.05512/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":"2026-07-05T05:49:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OmLnMcNknvJ4DUuzXge/FUzuTVZZZMjtIt05Ck9mGYrvnYNjqbeIwQ2aX2tVag8Kh4vqodMS+xWrLttosHGQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:59:23.869105Z"},"content_sha256":"7570281a6b33d1d7f1248738e4f7340c8f7208ed67ef78c16d4e05885a4a0733","schema_version":"1.0","event_id":"sha256:7570281a6b33d1d7f1248738e4f7340c8f7208ed67ef78c16d4e05885a4a0733"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/bundle.json","state_url":"https://pith.science/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/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":"2026-08-18T02:59:23Z","links":{"resolver":"https://pith.science/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT","bundle":"https://pith.science/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/bundle.json","state":"https://pith.science/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTPYCGEUVK2OTQGXBG5VDYYSCT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HTPYCGEUVK2OTQGXBG5VDYYSCT","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":"f29567fa92a7ace8a48f8ec2e2d7bb69cbac56f4ab5191843c03a5079a0f9a27","cross_cats_sorted":["cs.AI","cs.GR","cs.LG","cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-09T18:59:50Z","title_canon_sha256":"0afbcecbd872583036647b82ae74d16d2ff60ba177a6cdb0ec7a15c6533a98a0"},"schema_version":"1.0","source":{"id":"2303.05512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.05512","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"arxiv_version","alias_value":"2303.05512v1","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05512","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_12","alias_value":"HTPYCGEUVK2O","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_16","alias_value":"HTPYCGEUVK2OTQGX","created_at":"2026-07-05T05:49:41Z"},{"alias_kind":"pith_short_8","alias_value":"HTPYCGEU","created_at":"2026-07-05T05:49:41Z"}],"graph_snapshots":[{"event_id":"sha256:7570281a6b33d1d7f1248738e4f7340c8f7208ed67ef78c16d4e05885a4a0733","target":"graph","created_at":"2026-07-05T05:49:41Z","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/2303.05512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a vast majority of scenes where object geometries are complex or unknown. In this work, we aim to identify parameters characterizing a physical system from a set of multi-view videos without any assumption on object geometry or topology. To this end, we propose \"Physics Augmented Continuum Neural Radiance Fields\" (PAC-NeRF), to estimate both the unknown geometry and physical parameters of highly dynamic objects from mul","authors_text":"Chenfanfu Jiang, Chuang Gan, Krishna Murthy Jatavallabhula, Ming Lin, Peter Yichen Chen, Xuan Li, Yi-Ling Qiao","cross_cats":["cs.AI","cs.GR","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-09T18:59:50Z","title":"PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05512","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":"sha256:1df47e0217d1a6d4c0d95ebfd4a360412e6e0474ad0374f365d08798827383dd","target":"record","created_at":"2026-07-05T05:49:41Z","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":"f29567fa92a7ace8a48f8ec2e2d7bb69cbac56f4ab5191843c03a5079a0f9a27","cross_cats_sorted":["cs.AI","cs.GR","cs.LG","cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-09T18:59:50Z","title_canon_sha256":"0afbcecbd872583036647b82ae74d16d2ff60ba177a6cdb0ec7a15c6533a98a0"},"schema_version":"1.0","source":{"id":"2303.05512","kind":"arxiv","version":1}},"canonical_sha256":"3cdf811894aab4e9c0d709bb51e31214ccf7919f3bb5e6f8819936da2d9df5f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3cdf811894aab4e9c0d709bb51e31214ccf7919f3bb5e6f8819936da2d9df5f8","first_computed_at":"2026-07-05T05:49:41.953205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:41.953205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2XfAgZTjN0lugcN59NwXQ6zDizxfClOjYgoaDpCNA9palRwRXTMv1uWFeubz5TJ8iEyWKTlND6swgkECRRu5DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:41.953716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.05512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1df47e0217d1a6d4c0d95ebfd4a360412e6e0474ad0374f365d08798827383dd","sha256:7570281a6b33d1d7f1248738e4f7340c8f7208ed67ef78c16d4e05885a4a0733"],"state_sha256":"efc9672d32dfe126dd3d198c25cc258585f64ed01cac426bda32fd8ffd96d473"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GqA1fShpSUeBDX3AV1bXKpDVkZUjq0bo3FJzuWso9tTHMCDfTGpwC31V8oBih2MfiZH5g+R/F2Yp7/aQPe12AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:59:23.880935Z","bundle_sha256":"a47fc23296fa4da43a95374317023e1b4f769cb2cd928fbb9056c96c7cd11307"}}