{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BVWWFVF5N7QEK2TVRHSSOOGJBH","short_pith_number":"pith:BVWWFVF5","canonical_record":{"source":{"id":"1810.05340","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T03:33:20Z","cross_cats_sorted":[],"title_canon_sha256":"10d9b10c135c24b5e6bafa6d6843092657fcbca9d8d8b5dc9bf6187d3454583e","abstract_canon_sha256":"04e726797f3a836c4da4b1484d248f622206dec39613692dabcd2852b22387a9"},"schema_version":"1.0"},"canonical_sha256":"0d6d62d4bd6fe0456a7589e52738c909e592fe43e785713b5d02b7939653fe08","source":{"kind":"arxiv","id":"1810.05340","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05340","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05340v1","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05340","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"BVWWFVF5N7QE","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BVWWFVF5N7QEK2TV","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BVWWFVF5","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BVWWFVF5N7QEK2TVRHSSOOGJBH","target":"record","payload":{"canonical_record":{"source":{"id":"1810.05340","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T03:33:20Z","cross_cats_sorted":[],"title_canon_sha256":"10d9b10c135c24b5e6bafa6d6843092657fcbca9d8d8b5dc9bf6187d3454583e","abstract_canon_sha256":"04e726797f3a836c4da4b1484d248f622206dec39613692dabcd2852b22387a9"},"schema_version":"1.0"},"canonical_sha256":"0d6d62d4bd6fe0456a7589e52738c909e592fe43e785713b5d02b7939653fe08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:30.921254Z","signature_b64":"J3+EdADnZeE+CVrVNDI692JfVjeIgCkaapGp7Qd3q2eHVCO0vmS2/DtZCvBK3XqvUVSS6eG/azDTpFHWRFS7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d6d62d4bd6fe0456a7589e52738c909e592fe43e785713b5d02b7939653fe08","last_reissued_at":"2026-05-18T00:03:30.920604Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:30.920604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.05340","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":"2026-05-18T00:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xl8WxA8wXTd1GJ9DZkFFkLbnipismjSdHGtzfpifgkh58/8Z/gWsmn1YLbl05LUxGKH5BVLxpdH9UMWwwGCLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T14:09:56.167758Z"},"content_sha256":"4bf52f04304856b849f83f83b05e61f190e481d7fa7a22f727ede3fee42cc84f","schema_version":"1.0","event_id":"sha256:4bf52f04304856b849f83f83b05e61f190e481d7fa7a22f727ede3fee42cc84f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BVWWFVF5N7QEK2TVRHSSOOGJBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"4D Human Body Correspondences from Panoramic Depth Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingyi Yu, Minye Wu, Wangyiteng Zhou, Zhong Li","submitted_at":"2018-10-12T03:33:20Z","abstract_excerpt":"The availability of affordable 3D full body reconstruction systems has given rise to free-viewpoint video (FVV) of human shapes. Most existing solutions produce temporally uncorrelated point clouds or meshes with unknown point/vertex correspondences. Individually compressing each frame is ineffective and still yields to ultra-large data sizes. We present an end-to-end deep learning scheme to establish dense shape correspondences and subsequently compress the data. Our approach uses sparse set of \"panoramic\" depth maps or PDMs, each emulating an inward-viewing concentric mosaics. We then develo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05340","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":""},"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":"2026-05-18T00:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdlSSZ1xR55r2kdAPxguZJMHtHZLrTiuNcciKtOvJef3DXNbm0QZoV7NjXv8Zgbe7uxTj6uRPNqR75n5TK0FDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T14:09:56.168106Z"},"content_sha256":"d6a68f084811cd79b6e6a94b5ba5407ffb45eb196fbe659a1f80ff0a7a43f378","schema_version":"1.0","event_id":"sha256:d6a68f084811cd79b6e6a94b5ba5407ffb45eb196fbe659a1f80ff0a7a43f378"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/bundle.json","state_url":"https://pith.science/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/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":"2026-06-04T14:09:56Z","links":{"resolver":"https://pith.science/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH","bundle":"https://pith.science/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/bundle.json","state":"https://pith.science/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BVWWFVF5N7QEK2TVRHSSOOGJBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BVWWFVF5N7QEK2TVRHSSOOGJBH","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":"04e726797f3a836c4da4b1484d248f622206dec39613692dabcd2852b22387a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T03:33:20Z","title_canon_sha256":"10d9b10c135c24b5e6bafa6d6843092657fcbca9d8d8b5dc9bf6187d3454583e"},"schema_version":"1.0","source":{"id":"1810.05340","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.05340","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"1810.05340v1","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05340","created_at":"2026-05-18T00:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"BVWWFVF5N7QE","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BVWWFVF5N7QEK2TV","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BVWWFVF5","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:d6a68f084811cd79b6e6a94b5ba5407ffb45eb196fbe659a1f80ff0a7a43f378","target":"graph","created_at":"2026-05-18T00:03:30Z","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"},"paper":{"abstract_excerpt":"The availability of affordable 3D full body reconstruction systems has given rise to free-viewpoint video (FVV) of human shapes. Most existing solutions produce temporally uncorrelated point clouds or meshes with unknown point/vertex correspondences. Individually compressing each frame is ineffective and still yields to ultra-large data sizes. We present an end-to-end deep learning scheme to establish dense shape correspondences and subsequently compress the data. Our approach uses sparse set of \"panoramic\" depth maps or PDMs, each emulating an inward-viewing concentric mosaics. We then develo","authors_text":"Jingyi Yu, Minye Wu, Wangyiteng Zhou, Zhong Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T03:33:20Z","title":"4D Human Body Correspondences from Panoramic Depth Maps"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05340","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":"sha256:4bf52f04304856b849f83f83b05e61f190e481d7fa7a22f727ede3fee42cc84f","target":"record","created_at":"2026-05-18T00:03:30Z","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":"04e726797f3a836c4da4b1484d248f622206dec39613692dabcd2852b22387a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-12T03:33:20Z","title_canon_sha256":"10d9b10c135c24b5e6bafa6d6843092657fcbca9d8d8b5dc9bf6187d3454583e"},"schema_version":"1.0","source":{"id":"1810.05340","kind":"arxiv","version":1}},"canonical_sha256":"0d6d62d4bd6fe0456a7589e52738c909e592fe43e785713b5d02b7939653fe08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d6d62d4bd6fe0456a7589e52738c909e592fe43e785713b5d02b7939653fe08","first_computed_at":"2026-05-18T00:03:30.920604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:30.920604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J3+EdADnZeE+CVrVNDI692JfVjeIgCkaapGp7Qd3q2eHVCO0vmS2/DtZCvBK3XqvUVSS6eG/azDTpFHWRFS7BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:30.921254Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.05340","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4bf52f04304856b849f83f83b05e61f190e481d7fa7a22f727ede3fee42cc84f","sha256:d6a68f084811cd79b6e6a94b5ba5407ffb45eb196fbe659a1f80ff0a7a43f378"],"state_sha256":"feceae7344a49f1f3501ed5005049e0fcfe49642754d75fa682b6e62d5d80479"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a4TzaMkX7cIvdhexOjlWWNDMJWHVJ6hdhtQr72WsUEMDRiKCgsuvyOQuD1gznsJGYPmFrcgoRLzWpyTJnsu9AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T14:09:56.170123Z","bundle_sha256":"d62dce207894f71d6c020dd618dd392e258cfd9f4e4beb482d422d92587ea737"}}