{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6Z5E23R2YXGGBWAK6UXWR2AQRV","short_pith_number":"pith:6Z5E23R2","canonical_record":{"source":{"id":"2411.16289","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T11:13:12Z","cross_cats_sorted":[],"title_canon_sha256":"37ec1c9146aa0c273cd28e9107ceaac846051f109d9c788b2f12a9b492332209","abstract_canon_sha256":"357e642d4d09ec9ca06ed50014225a4f275da65b1242637a4de4cbb0dbad2aa7"},"schema_version":"1.0"},"canonical_sha256":"f67a4d6e3ac5cc60d80af52f68e8108d73ed1aafdb3aefd3755b3006e15838e8","source":{"kind":"arxiv","id":"2411.16289","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16289","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16289v1","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16289","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_12","alias_value":"6Z5E23R2YXGG","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_16","alias_value":"6Z5E23R2YXGGBWAK","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_8","alias_value":"6Z5E23R2","created_at":"2026-07-05T09:40:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6Z5E23R2YXGGBWAK6UXWR2AQRV","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16289","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T11:13:12Z","cross_cats_sorted":[],"title_canon_sha256":"37ec1c9146aa0c273cd28e9107ceaac846051f109d9c788b2f12a9b492332209","abstract_canon_sha256":"357e642d4d09ec9ca06ed50014225a4f275da65b1242637a4de4cbb0dbad2aa7"},"schema_version":"1.0"},"canonical_sha256":"f67a4d6e3ac5cc60d80af52f68e8108d73ed1aafdb3aefd3755b3006e15838e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:07.253544Z","signature_b64":"2suI6qHrebTwLh9vflx/lG/yg7uHogHgfJnhzgxDPTT8EtCWLpsjKS8H32NTGPTi42Fyfy1Vs9LRg4oRntNpBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f67a4d6e3ac5cc60d80af52f68e8108d73ed1aafdb3aefd3755b3006e15838e8","last_reissued_at":"2026-07-05T09:40:07.253079Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:07.253079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16289","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":"2026-07-05T09:40:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jEJEzbbNjQh0Wkvq88JjPvzWC+kjsRYK9P216vDEYHh1KUNigvIKvOQ3OOGNhcAKuz6KcocHgMil0bUZFRU2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:04:03.694867Z"},"content_sha256":"f7656d80455a16621e8187fb25ef1eca4b418451888f3c0128e787bc47d97504","schema_version":"1.0","event_id":"sha256:f7656d80455a16621e8187fb25ef1eca4b418451888f3c0128e787bc47d97504"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6Z5E23R2YXGGBWAK6UXWR2AQRV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bastian Wandt, Bodo Rosenhahn, Marco Rudolph, Tom Wehrbein","submitted_at":"2024-11-25T11:13:12Z","abstract_excerpt":"Monocular 3D human pose and shape estimation is an inherently ill-posed problem due to depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a distribution over plausible 3D human meshes by maximizing the likelihood of the ground-truth pose given an image. We show that this objective function alone is not sufficient to best capture the full distributions. Instead, we propose to additionally supervise the learned distributions by minimizing the distance to distributions encoded in heatmaps of a 2D pose detector. Moreover, we reveal that current methods often gene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16289","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/2411.16289/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":"2026-07-05T09:40:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0uqav7nhBwb1FIkivRD5ryilbl+EWMRJXEMNTIeLtSKKhvEs6U+xBuErnIFSg/nf9hlz0Xo/bIgKdhRt4ffyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:04:03.695396Z"},"content_sha256":"9582e49868e53e745193b4ccb6fdbdde332f818b01335a100ff3d7142184d7a9","schema_version":"1.0","event_id":"sha256:9582e49868e53e745193b4ccb6fdbdde332f818b01335a100ff3d7142184d7a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/bundle.json","state_url":"https://pith.science/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/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":"2026-08-22T11:04:03Z","links":{"resolver":"https://pith.science/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV","bundle":"https://pith.science/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/bundle.json","state":"https://pith.science/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6Z5E23R2YXGGBWAK6UXWR2AQRV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6Z5E23R2YXGGBWAK6UXWR2AQRV","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":"357e642d4d09ec9ca06ed50014225a4f275da65b1242637a4de4cbb0dbad2aa7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T11:13:12Z","title_canon_sha256":"37ec1c9146aa0c273cd28e9107ceaac846051f109d9c788b2f12a9b492332209"},"schema_version":"1.0","source":{"id":"2411.16289","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16289","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16289v1","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16289","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_12","alias_value":"6Z5E23R2YXGG","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_16","alias_value":"6Z5E23R2YXGGBWAK","created_at":"2026-07-05T09:40:07Z"},{"alias_kind":"pith_short_8","alias_value":"6Z5E23R2","created_at":"2026-07-05T09:40:07Z"}],"graph_snapshots":[{"event_id":"sha256:9582e49868e53e745193b4ccb6fdbdde332f818b01335a100ff3d7142184d7a9","target":"graph","created_at":"2026-07-05T09:40:07Z","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/2411.16289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular 3D human pose and shape estimation is an inherently ill-posed problem due to depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a distribution over plausible 3D human meshes by maximizing the likelihood of the ground-truth pose given an image. We show that this objective function alone is not sufficient to best capture the full distributions. Instead, we propose to additionally supervise the learned distributions by minimizing the distance to distributions encoded in heatmaps of a 2D pose detector. Moreover, we reveal that current methods often gene","authors_text":"Bastian Wandt, Bodo Rosenhahn, Marco Rudolph, Tom Wehrbein","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T11:13:12Z","title":"Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16289","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:f7656d80455a16621e8187fb25ef1eca4b418451888f3c0128e787bc47d97504","target":"record","created_at":"2026-07-05T09:40:07Z","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":"357e642d4d09ec9ca06ed50014225a4f275da65b1242637a4de4cbb0dbad2aa7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T11:13:12Z","title_canon_sha256":"37ec1c9146aa0c273cd28e9107ceaac846051f109d9c788b2f12a9b492332209"},"schema_version":"1.0","source":{"id":"2411.16289","kind":"arxiv","version":1}},"canonical_sha256":"f67a4d6e3ac5cc60d80af52f68e8108d73ed1aafdb3aefd3755b3006e15838e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f67a4d6e3ac5cc60d80af52f68e8108d73ed1aafdb3aefd3755b3006e15838e8","first_computed_at":"2026-07-05T09:40:07.253079Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:07.253079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2suI6qHrebTwLh9vflx/lG/yg7uHogHgfJnhzgxDPTT8EtCWLpsjKS8H32NTGPTi42Fyfy1Vs9LRg4oRntNpBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:07.253544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16289","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7656d80455a16621e8187fb25ef1eca4b418451888f3c0128e787bc47d97504","sha256:9582e49868e53e745193b4ccb6fdbdde332f818b01335a100ff3d7142184d7a9"],"state_sha256":"5ae567055b5dbe109a163ba3943dcf6aeab177497187bf21ad5b38a1d4d451d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YmlJv3ImRPGKiSyubrcMsP9gwPEhP5Arjm2FNyV8VFFHeM7Aq2+2FVK6tvzknLRT7MOJY2Sd7NZnmOCVKPPzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T11:04:03.699417Z","bundle_sha256":"461c864c8bf9281ed9682aba9f7338bec3dda21e8119e636911f854067963c9c"}}