{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FHXBEAOUBAJ6NC7YCKLSNQLYQV","short_pith_number":"pith:FHXBEAOU","canonical_record":{"source":{"id":"2203.05789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-11T08:07:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2db38f7973d36d7c2442866110c8de7d6cb251af65c4a72a580aa856caefb2b8","abstract_canon_sha256":"d6853d92f6c5b47b8516a9965faad771c9ff0fbdd181bf8c591f75f1a05d7778"},"schema_version":"1.0"},"canonical_sha256":"29ee1201d40813e68bf8129726c178854be4c7e2be366cc86ce2826990daab08","source":{"kind":"arxiv","id":"2203.05789","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.05789","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2203.05789v1","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.05789","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"FHXBEAOUBAJ6","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"FHXBEAOUBAJ6NC7Y","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"FHXBEAOU","created_at":"2026-07-05T04:04:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FHXBEAOUBAJ6NC7YCKLSNQLYQV","target":"record","payload":{"canonical_record":{"source":{"id":"2203.05789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-11T08:07:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2db38f7973d36d7c2442866110c8de7d6cb251af65c4a72a580aa856caefb2b8","abstract_canon_sha256":"d6853d92f6c5b47b8516a9965faad771c9ff0fbdd181bf8c591f75f1a05d7778"},"schema_version":"1.0"},"canonical_sha256":"29ee1201d40813e68bf8129726c178854be4c7e2be366cc86ce2826990daab08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:04:09.516658Z","signature_b64":"bc9vIZ7BBuxiXae1RAi96OG0Nf+dx7qqul/lMhG5SzGjoPk22LcPuG5wy68clu5Vy3Wt3aN2nsQreBPg0OhJDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29ee1201d40813e68bf8129726c178854be4c7e2be366cc86ce2826990daab08","last_reissued_at":"2026-07-05T04:04:09.516135Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:04:09.516135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.05789","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":"2026-07-05T04:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JZRBcF2wUTf5FDL7piBDon3H6Lq20zTiHIr7TZEYFBKBV92m9FPx7P5sv0Ow/GP35GZzhm6GRfGEuulHbtdMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:06:02.473807Z"},"content_sha256":"1141c8fcf00758e2ec972e5d13af50a21a7aa42e97fa2b1e61a09960b3c3cd4a","schema_version":"1.0","event_id":"sha256:1141c8fcf00758e2ec972e5d13af50a21a7aa42e97fa2b1e61a09960b3c3cd4a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FHXBEAOUBAJ6NC7YCKLSNQLYQV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FLAG: Flow-based 3D Avatar Generation from Sparse Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Andrew Fitzgibbon, Federica Bogo, Pashmina Cameron, Sadegh Aliakbarian, Thomas J. Cashman","submitted_at":"2022-03-11T08:07:09Z","abstract_excerpt":"To represent people in mixed reality applications for collaboration and communication, we need to generate realistic and faithful avatar poses. However, the signal streams that can be applied for this task from head-mounted devices (HMDs) are typically limited to head pose and hand pose estimates. While these signals are valuable, they are an incomplete representation of the human body, making it challenging to generate a faithful full-body avatar. We address this challenge by developing a flow-based generative model of the 3D human body from sparse observations, wherein we learn not only a co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.05789","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/2203.05789/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":"2026-07-05T04:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kk10SatiZgUg9Uosb/Cr37tH2aYnF7Ghb38D6pySGwDzN+3E4AOnlcy6n9FV2ZogcK73PTgyYiNQ4fGF/sFOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:06:02.474184Z"},"content_sha256":"b84ae19484923c4de87cac2d6ebd86af13a0e08a51ab89d9a2abb01a4527d55c","schema_version":"1.0","event_id":"sha256:b84ae19484923c4de87cac2d6ebd86af13a0e08a51ab89d9a2abb01a4527d55c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/bundle.json","state_url":"https://pith.science/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/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":"2026-07-07T05:06:02Z","links":{"resolver":"https://pith.science/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV","bundle":"https://pith.science/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/bundle.json","state":"https://pith.science/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FHXBEAOUBAJ6NC7YCKLSNQLYQV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FHXBEAOUBAJ6NC7YCKLSNQLYQV","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":"d6853d92f6c5b47b8516a9965faad771c9ff0fbdd181bf8c591f75f1a05d7778","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-11T08:07:09Z","title_canon_sha256":"2db38f7973d36d7c2442866110c8de7d6cb251af65c4a72a580aa856caefb2b8"},"schema_version":"1.0","source":{"id":"2203.05789","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.05789","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2203.05789v1","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.05789","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"FHXBEAOUBAJ6","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"FHXBEAOUBAJ6NC7Y","created_at":"2026-07-05T04:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"FHXBEAOU","created_at":"2026-07-05T04:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:b84ae19484923c4de87cac2d6ebd86af13a0e08a51ab89d9a2abb01a4527d55c","target":"graph","created_at":"2026-07-05T04:04:09Z","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/2203.05789/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To represent people in mixed reality applications for collaboration and communication, we need to generate realistic and faithful avatar poses. However, the signal streams that can be applied for this task from head-mounted devices (HMDs) are typically limited to head pose and hand pose estimates. While these signals are valuable, they are an incomplete representation of the human body, making it challenging to generate a faithful full-body avatar. We address this challenge by developing a flow-based generative model of the 3D human body from sparse observations, wherein we learn not only a co","authors_text":"Andrew Fitzgibbon, Federica Bogo, Pashmina Cameron, Sadegh Aliakbarian, Thomas J. Cashman","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-11T08:07:09Z","title":"FLAG: Flow-based 3D Avatar Generation from Sparse Observations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.05789","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":"sha256:1141c8fcf00758e2ec972e5d13af50a21a7aa42e97fa2b1e61a09960b3c3cd4a","target":"record","created_at":"2026-07-05T04:04:09Z","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":"d6853d92f6c5b47b8516a9965faad771c9ff0fbdd181bf8c591f75f1a05d7778","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-11T08:07:09Z","title_canon_sha256":"2db38f7973d36d7c2442866110c8de7d6cb251af65c4a72a580aa856caefb2b8"},"schema_version":"1.0","source":{"id":"2203.05789","kind":"arxiv","version":1}},"canonical_sha256":"29ee1201d40813e68bf8129726c178854be4c7e2be366cc86ce2826990daab08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29ee1201d40813e68bf8129726c178854be4c7e2be366cc86ce2826990daab08","first_computed_at":"2026-07-05T04:04:09.516135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:04:09.516135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bc9vIZ7BBuxiXae1RAi96OG0Nf+dx7qqul/lMhG5SzGjoPk22LcPuG5wy68clu5Vy3Wt3aN2nsQreBPg0OhJDw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:04:09.516658Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.05789","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1141c8fcf00758e2ec972e5d13af50a21a7aa42e97fa2b1e61a09960b3c3cd4a","sha256:b84ae19484923c4de87cac2d6ebd86af13a0e08a51ab89d9a2abb01a4527d55c"],"state_sha256":"2a4bd3d0b70e3d1243431f08c11fe5ea01e4b32cdf29e3c79365a8bf3444329b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kgXoaefFHnDF9fJgH0CtEFIuARnkt86yx11/ivMUeDQ6yy5MwLHLzkwZ159eEaCS9lIJn6byv94N0s5cLSz1BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:06:02.476336Z","bundle_sha256":"0db4eaf2acc509daa604efec1f9d063d99e12f152d4d0098d55f3a579a79bc0f"}}