{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LT7UVY7KBTP2WHH6DV47SLVABC","short_pith_number":"pith:LT7UVY7K","canonical_record":{"source":{"id":"2205.14870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T06:18:59Z","cross_cats_sorted":[],"title_canon_sha256":"7bde91cf6cea3cc2257d173483638eb168cf1796a9859dbd6eb40a6a11d848de","abstract_canon_sha256":"a7d98b9bdb8bd2f1bd7ec3bad0c1b47549cd3abf16abe2062993072e421a2f20"},"schema_version":"1.0"},"canonical_sha256":"5cff4ae3ea0cdfab1cfe1d79f92ea00882061b58bd5c39267df5aac96f2f843c","source":{"kind":"arxiv","id":"2205.14870","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.14870","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2205.14870v2","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.14870","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"LT7UVY7KBTP2","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"LT7UVY7KBTP2WHH6","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"LT7UVY7K","created_at":"2026-07-05T05:06:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LT7UVY7KBTP2WHH6DV47SLVABC","target":"record","payload":{"canonical_record":{"source":{"id":"2205.14870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T06:18:59Z","cross_cats_sorted":[],"title_canon_sha256":"7bde91cf6cea3cc2257d173483638eb168cf1796a9859dbd6eb40a6a11d848de","abstract_canon_sha256":"a7d98b9bdb8bd2f1bd7ec3bad0c1b47549cd3abf16abe2062993072e421a2f20"},"schema_version":"1.0"},"canonical_sha256":"5cff4ae3ea0cdfab1cfe1d79f92ea00882061b58bd5c39267df5aac96f2f843c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:12.404963Z","signature_b64":"feJ2rvgmb3YDNQlJiFMrRltbCuU5A16yMWLjWMMcdmRxx945caI5AOVuZ6nL9EFszUyyhMju4pNq6nnooHcJAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cff4ae3ea0cdfab1cfe1d79f92ea00882061b58bd5c39267df5aac96f2f843c","last_reissued_at":"2026-07-05T05:06:12.404496Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:12.404496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.14870","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QeXYP4pUIpoLlf2HKpxySSpm2BY71gTHgTMWE76YUoLoSDWv0WlmiPHp0pUqiI8FcLf82UqEtLhokLz3I6HQAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:57:14.672610Z"},"content_sha256":"99bc8c7f5595caed6e85d6131d1bf4db2232a250b0f930a3d31e3ec11305427b","schema_version":"1.0","event_id":"sha256:99bc8c7f5595caed6e85d6131d1bf4db2232a250b0f930a3d31e3ec11305427b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LT7UVY7KBTP2WHH6DV47SLVABC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compressible-composable NeRF via Rank-residual Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gang Zeng, Jiaxiang Tang, Jingbo Wang, Xiaokang Chen","submitted_at":"2022-05-30T06:18:59Z","abstract_excerpt":"Neural Radiance Field (NeRF) has emerged as a compelling method to represent 3D objects and scenes for photo-realistic rendering. However, its implicit representation causes difficulty in manipulating the models like the explicit mesh representation. Several recent advances in NeRF manipulation are usually restricted by a shared renderer network, or suffer from large model size. To circumvent the hurdle, in this paper, we present an explicit neural field representation that enables efficient and convenient manipulation of models. To achieve this goal, we learn a hybrid tensor rank decompositio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.14870","kind":"arxiv","version":2},"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/2205.14870/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":"2026-07-05T05:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oDpuzvAgYVgNBpxio/NVqQWu/TyNPxVSBNHpFZEbV40PJq3p3PzZ5/znQOFEwJZLAAvK6Qdd7z3y9dMTTxF3Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:57:14.673142Z"},"content_sha256":"92c668e9607effd0018a73aee8da16e992b6a44625d4ce5b17a3ea5a9ed536e3","schema_version":"1.0","event_id":"sha256:92c668e9607effd0018a73aee8da16e992b6a44625d4ce5b17a3ea5a9ed536e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LT7UVY7KBTP2WHH6DV47SLVABC/bundle.json","state_url":"https://pith.science/pith/LT7UVY7KBTP2WHH6DV47SLVABC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LT7UVY7KBTP2WHH6DV47SLVABC/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":"2026-08-10T02:57:14Z","links":{"resolver":"https://pith.science/pith/LT7UVY7KBTP2WHH6DV47SLVABC","bundle":"https://pith.science/pith/LT7UVY7KBTP2WHH6DV47SLVABC/bundle.json","state":"https://pith.science/pith/LT7UVY7KBTP2WHH6DV47SLVABC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LT7UVY7KBTP2WHH6DV47SLVABC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LT7UVY7KBTP2WHH6DV47SLVABC","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":"a7d98b9bdb8bd2f1bd7ec3bad0c1b47549cd3abf16abe2062993072e421a2f20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T06:18:59Z","title_canon_sha256":"7bde91cf6cea3cc2257d173483638eb168cf1796a9859dbd6eb40a6a11d848de"},"schema_version":"1.0","source":{"id":"2205.14870","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.14870","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2205.14870v2","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.14870","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"LT7UVY7KBTP2","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"LT7UVY7KBTP2WHH6","created_at":"2026-07-05T05:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"LT7UVY7K","created_at":"2026-07-05T05:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:92c668e9607effd0018a73aee8da16e992b6a44625d4ce5b17a3ea5a9ed536e3","target":"graph","created_at":"2026-07-05T05:06:12Z","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/2205.14870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Radiance Field (NeRF) has emerged as a compelling method to represent 3D objects and scenes for photo-realistic rendering. However, its implicit representation causes difficulty in manipulating the models like the explicit mesh representation. Several recent advances in NeRF manipulation are usually restricted by a shared renderer network, or suffer from large model size. To circumvent the hurdle, in this paper, we present an explicit neural field representation that enables efficient and convenient manipulation of models. To achieve this goal, we learn a hybrid tensor rank decompositio","authors_text":"Gang Zeng, Jiaxiang Tang, Jingbo Wang, Xiaokang Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T06:18:59Z","title":"Compressible-composable NeRF via Rank-residual Decomposition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.14870","kind":"arxiv","version":2},"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":"sha256:99bc8c7f5595caed6e85d6131d1bf4db2232a250b0f930a3d31e3ec11305427b","target":"record","created_at":"2026-07-05T05:06:12Z","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":"a7d98b9bdb8bd2f1bd7ec3bad0c1b47549cd3abf16abe2062993072e421a2f20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T06:18:59Z","title_canon_sha256":"7bde91cf6cea3cc2257d173483638eb168cf1796a9859dbd6eb40a6a11d848de"},"schema_version":"1.0","source":{"id":"2205.14870","kind":"arxiv","version":2}},"canonical_sha256":"5cff4ae3ea0cdfab1cfe1d79f92ea00882061b58bd5c39267df5aac96f2f843c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cff4ae3ea0cdfab1cfe1d79f92ea00882061b58bd5c39267df5aac96f2f843c","first_computed_at":"2026-07-05T05:06:12.404496Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:12.404496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"feJ2rvgmb3YDNQlJiFMrRltbCuU5A16yMWLjWMMcdmRxx945caI5AOVuZ6nL9EFszUyyhMju4pNq6nnooHcJAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:12.404963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.14870","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99bc8c7f5595caed6e85d6131d1bf4db2232a250b0f930a3d31e3ec11305427b","sha256:92c668e9607effd0018a73aee8da16e992b6a44625d4ce5b17a3ea5a9ed536e3"],"state_sha256":"8d0a903d7a4abb94372277dd09f91a51ad4ca3761c59a4b4ff9dab21bacf3d97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ZA5VPkS/N9ZU59ekMi8YQa563WOVEv0yExCAWqz81Ql4x8O4eHQkeX+/hh13fhnUsLJ1r0x78gFA5Hfl9EpCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:57:14.679099Z","bundle_sha256":"4cdbfe5cb5c292ce54f35cded239270c64bdcce5b8021bf2df1f8780bd29c986"}}