{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7ZBKPZ2UKBOFYTXNILAPF2IQ6K","short_pith_number":"pith:7ZBKPZ2U","canonical_record":{"source":{"id":"2311.10812","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T18:47:07Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"53944e5932323250385b185591cbaef238680474fb3e7a00ee7b294a35426308","abstract_canon_sha256":"23d94de1994c8d0914664e8ced0f0017c34363fd0d8d815e4c5fec11276a0419"},"schema_version":"1.0"},"canonical_sha256":"fe42a7e754505c5c4eed42c0f2e910f2b1c1add47374a05729ab9f52d74155a7","source":{"kind":"arxiv","id":"2311.10812","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10812","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10812v1","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10812","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_12","alias_value":"7ZBKPZ2UKBOF","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_16","alias_value":"7ZBKPZ2UKBOFYTXN","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_8","alias_value":"7ZBKPZ2U","created_at":"2026-07-05T07:14:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7ZBKPZ2UKBOFYTXNILAPF2IQ6K","target":"record","payload":{"canonical_record":{"source":{"id":"2311.10812","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T18:47:07Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"53944e5932323250385b185591cbaef238680474fb3e7a00ee7b294a35426308","abstract_canon_sha256":"23d94de1994c8d0914664e8ced0f0017c34363fd0d8d815e4c5fec11276a0419"},"schema_version":"1.0"},"canonical_sha256":"fe42a7e754505c5c4eed42c0f2e910f2b1c1add47374a05729ab9f52d74155a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:14:22.787094Z","signature_b64":"G3Hwt1cnYao+RIUA26AuQzYKVC20un11i2J5h9owz3Unx7n1x7kukBEIiktIyJLAG0hUkSnEw5TN4VVL/C7fCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe42a7e754505c5c4eed42c0f2e910f2b1c1add47374a05729ab9f52d74155a7","last_reissued_at":"2026-07-05T07:14:22.786599Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:14:22.786599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.10812","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":"2026-07-05T07:14:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KqKRQR+jnaGDIMwnn+/kj9Ac37UWTozpxGM1wGAUJm70GmK8eXxlUwFUC7r9DkTptPtFFmZld5A7ga6J6xuQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:55:53.670039Z"},"content_sha256":"d75fa35a6363653569034399410c1d9db4e0baa1a59ef67693dacbc637795382","schema_version":"1.0","event_id":"sha256:d75fa35a6363653569034399410c1d9db4e0baa1a59ef67693dacbc637795382"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7ZBKPZ2UKBOFYTXNILAPF2IQ6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Brandon Smith, Ganesh Subramanian Iyer, James Gee, Pratik Chaudhari, Rohit Jena, Siddharth Choudhary","submitted_at":"2023-11-17T18:47:07Z","abstract_excerpt":"We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians. Our approach represents the human as a set of 3D Gaussians within a canonical space, whose articulation is defined by extending the skinning of the underlying SMPL geometry to arbitrary locations in the canonical space. To account for pose-dependent effects, we introduce a SE(3) field, which allows us to capture both the location and anisotropy of the Gaussians. Furthermore, we propose the use of a neural color field to provide color regulariza"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10812","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/2311.10812/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":"2026-07-05T07:14:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"crdgB4AYJJjKTsbgdc237LvfJJZsyVwHpQqI17tYSXhUmaQ1A/eX9W6Ys7b0So9XWCM5FDssY0JkCx51Sbl9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:55:53.670454Z"},"content_sha256":"10b06feb1d99f423ada7e64af91b4b106c6dc4f69eaa07d9fe1c54f6548f5ce3","schema_version":"1.0","event_id":"sha256:10b06feb1d99f423ada7e64af91b4b106c6dc4f69eaa07d9fe1c54f6548f5ce3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/bundle.json","state_url":"https://pith.science/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/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":"2026-07-07T03:55:53Z","links":{"resolver":"https://pith.science/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K","bundle":"https://pith.science/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/bundle.json","state":"https://pith.science/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7ZBKPZ2UKBOFYTXNILAPF2IQ6K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7ZBKPZ2UKBOFYTXNILAPF2IQ6K","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":"23d94de1994c8d0914664e8ced0f0017c34363fd0d8d815e4c5fec11276a0419","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T18:47:07Z","title_canon_sha256":"53944e5932323250385b185591cbaef238680474fb3e7a00ee7b294a35426308"},"schema_version":"1.0","source":{"id":"2311.10812","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10812","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10812v1","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10812","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_12","alias_value":"7ZBKPZ2UKBOF","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_16","alias_value":"7ZBKPZ2UKBOFYTXN","created_at":"2026-07-05T07:14:22Z"},{"alias_kind":"pith_short_8","alias_value":"7ZBKPZ2U","created_at":"2026-07-05T07:14:22Z"}],"graph_snapshots":[{"event_id":"sha256:10b06feb1d99f423ada7e64af91b4b106c6dc4f69eaa07d9fe1c54f6548f5ce3","target":"graph","created_at":"2026-07-05T07:14:22Z","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/2311.10812/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians. Our approach represents the human as a set of 3D Gaussians within a canonical space, whose articulation is defined by extending the skinning of the underlying SMPL geometry to arbitrary locations in the canonical space. To account for pose-dependent effects, we introduce a SE(3) field, which allows us to capture both the location and anisotropy of the Gaussians. Furthermore, we propose the use of a neural color field to provide color regulariza","authors_text":"Brandon Smith, Ganesh Subramanian Iyer, James Gee, Pratik Chaudhari, Rohit Jena, Siddharth Choudhary","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T18:47:07Z","title":"SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10812","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:d75fa35a6363653569034399410c1d9db4e0baa1a59ef67693dacbc637795382","target":"record","created_at":"2026-07-05T07:14:22Z","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":"23d94de1994c8d0914664e8ced0f0017c34363fd0d8d815e4c5fec11276a0419","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T18:47:07Z","title_canon_sha256":"53944e5932323250385b185591cbaef238680474fb3e7a00ee7b294a35426308"},"schema_version":"1.0","source":{"id":"2311.10812","kind":"arxiv","version":1}},"canonical_sha256":"fe42a7e754505c5c4eed42c0f2e910f2b1c1add47374a05729ab9f52d74155a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe42a7e754505c5c4eed42c0f2e910f2b1c1add47374a05729ab9f52d74155a7","first_computed_at":"2026-07-05T07:14:22.786599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:22.786599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G3Hwt1cnYao+RIUA26AuQzYKVC20un11i2J5h9owz3Unx7n1x7kukBEIiktIyJLAG0hUkSnEw5TN4VVL/C7fCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:22.787094Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.10812","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d75fa35a6363653569034399410c1d9db4e0baa1a59ef67693dacbc637795382","sha256:10b06feb1d99f423ada7e64af91b4b106c6dc4f69eaa07d9fe1c54f6548f5ce3"],"state_sha256":"5414668e68a5d5b71a0e0c35491f23f3e2318d962914a81f64b04d3080c986dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eJgsJpN+8lZWnSqUeh9VbiAzx/fXOGcc0RBC122qgcT9sdjGKIyBH6cGaC+9ItwnXgzC70W5rzfleetfLOkXDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:55:53.672534Z","bundle_sha256":"e5a5be81d2eee4640d6f8964b3afab7ae10c18ef095fcd7910d6e87431f3e4b8"}}