{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5FT3GJTWU35KP3M4JUUICGJH4G","short_pith_number":"pith:5FT3GJTW","canonical_record":{"source":{"id":"2410.14540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-18T15:29:19Z","cross_cats_sorted":[],"title_canon_sha256":"8d430c5a98c3f256bac38798380cba80443dcc9324089b4812ad005ffaabf262","abstract_canon_sha256":"0a388e1eedf05e61f5dd6a8be46b9cf1d9e5c4787bd5c859b0476c56d628bf26"},"schema_version":"1.0"},"canonical_sha256":"e967b32676a6faa7ed9c4d28811927e1bc9bdae84d357871b26b122b9d6c7d2d","source":{"kind":"arxiv","id":"2410.14540","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14540","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14540v1","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14540","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"5FT3GJTWU35K","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"5FT3GJTWU35KP3M4","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"5FT3GJTW","created_at":"2026-07-05T09:22:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5FT3GJTWU35KP3M4JUUICGJH4G","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-18T15:29:19Z","cross_cats_sorted":[],"title_canon_sha256":"8d430c5a98c3f256bac38798380cba80443dcc9324089b4812ad005ffaabf262","abstract_canon_sha256":"0a388e1eedf05e61f5dd6a8be46b9cf1d9e5c4787bd5c859b0476c56d628bf26"},"schema_version":"1.0"},"canonical_sha256":"e967b32676a6faa7ed9c4d28811927e1bc9bdae84d357871b26b122b9d6c7d2d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:33.814932Z","signature_b64":"wmrUSvSWm8MTrQK/awqUN0dKDaie9PfHBx13XBOxCyMrM4HCs2/Mx7sLsKyhGtHZexODkT/swl/PofI4kLIZCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e967b32676a6faa7ed9c4d28811927e1bc9bdae84d357871b26b122b9d6c7d2d","last_reissued_at":"2026-07-05T09:22:33.814477Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:33.814477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14540","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":"2026-07-05T09:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7993gU7Sv2b7pBcIUKpQrgytYA0RTnCLo/I5rVyQZWjbPSW8Ytg6iJZYFeQHDjT9/Qm+xnQ0vxUNWsoJwMmeDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:14:32.586487Z"},"content_sha256":"0ef0a62c859c28053a87f4fff1435fa18dbfb285020e5556cd87b77db10a843f","schema_version":"1.0","event_id":"sha256:0ef0a62c859c28053a87f4fff1435fa18dbfb285020e5556cd87b77db10a843f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5FT3GJTWU35KP3M4JUUICGJH4G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose Prior","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amit Roy-Chowdhury, Arindam Dutta, Calvin-Khang Ta, Dripta S. Raychaudhuri, Hannah Dela Cruz, Rohit Kundu, Rohit Lal","submitted_at":"2024-10-18T15:29:19Z","abstract_excerpt":"The Skinned Multi-Person Linear (SMPL) model plays a crucial role in 3D human pose estimation, providing a streamlined yet effective representation of the human body. However, ensuring the validity of SMPL configurations during tasks such as human mesh regression remains a significant challenge , highlighting the necessity for a robust human pose prior capable of discerning realistic human poses. To address this, we introduce MOPED: \\underline{M}ulti-m\\underline{O}dal \\underline{P}os\\underline{E} \\underline{D}iffuser. MOPED is the first method to leverage a novel multi-modal conditional diffus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14540","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/2410.14540/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":"2026-07-05T09:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uWgeBHuFzj/VuBvNpEImYWx1k6vVZEtMTbRXDBVf5z5dgWs584eiP4hgGawp7/sa76+Crh8qeIm9FvgUICtoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:14:32.586991Z"},"content_sha256":"7f0fc479eb5c9570f2d3860109ff220ab6d39c677742a0cf786b973f133463b4","schema_version":"1.0","event_id":"sha256:7f0fc479eb5c9570f2d3860109ff220ab6d39c677742a0cf786b973f133463b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5FT3GJTWU35KP3M4JUUICGJH4G/bundle.json","state_url":"https://pith.science/pith/5FT3GJTWU35KP3M4JUUICGJH4G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5FT3GJTWU35KP3M4JUUICGJH4G/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":"2026-08-13T20:14:32Z","links":{"resolver":"https://pith.science/pith/5FT3GJTWU35KP3M4JUUICGJH4G","bundle":"https://pith.science/pith/5FT3GJTWU35KP3M4JUUICGJH4G/bundle.json","state":"https://pith.science/pith/5FT3GJTWU35KP3M4JUUICGJH4G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5FT3GJTWU35KP3M4JUUICGJH4G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5FT3GJTWU35KP3M4JUUICGJH4G","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":"0a388e1eedf05e61f5dd6a8be46b9cf1d9e5c4787bd5c859b0476c56d628bf26","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-18T15:29:19Z","title_canon_sha256":"8d430c5a98c3f256bac38798380cba80443dcc9324089b4812ad005ffaabf262"},"schema_version":"1.0","source":{"id":"2410.14540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14540","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14540v1","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14540","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"5FT3GJTWU35K","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"5FT3GJTWU35KP3M4","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"5FT3GJTW","created_at":"2026-07-05T09:22:33Z"}],"graph_snapshots":[{"event_id":"sha256:7f0fc479eb5c9570f2d3860109ff220ab6d39c677742a0cf786b973f133463b4","target":"graph","created_at":"2026-07-05T09:22:33Z","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/2410.14540/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Skinned Multi-Person Linear (SMPL) model plays a crucial role in 3D human pose estimation, providing a streamlined yet effective representation of the human body. However, ensuring the validity of SMPL configurations during tasks such as human mesh regression remains a significant challenge , highlighting the necessity for a robust human pose prior capable of discerning realistic human poses. To address this, we introduce MOPED: \\underline{M}ulti-m\\underline{O}dal \\underline{P}os\\underline{E} \\underline{D}iffuser. MOPED is the first method to leverage a novel multi-modal conditional diffus","authors_text":"Amit Roy-Chowdhury, Arindam Dutta, Calvin-Khang Ta, Dripta S. Raychaudhuri, Hannah Dela Cruz, Rohit Kundu, Rohit Lal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-18T15:29:19Z","title":"Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose Prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14540","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":"sha256:0ef0a62c859c28053a87f4fff1435fa18dbfb285020e5556cd87b77db10a843f","target":"record","created_at":"2026-07-05T09:22:33Z","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":"0a388e1eedf05e61f5dd6a8be46b9cf1d9e5c4787bd5c859b0476c56d628bf26","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-18T15:29:19Z","title_canon_sha256":"8d430c5a98c3f256bac38798380cba80443dcc9324089b4812ad005ffaabf262"},"schema_version":"1.0","source":{"id":"2410.14540","kind":"arxiv","version":1}},"canonical_sha256":"e967b32676a6faa7ed9c4d28811927e1bc9bdae84d357871b26b122b9d6c7d2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e967b32676a6faa7ed9c4d28811927e1bc9bdae84d357871b26b122b9d6c7d2d","first_computed_at":"2026-07-05T09:22:33.814477Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:33.814477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wmrUSvSWm8MTrQK/awqUN0dKDaie9PfHBx13XBOxCyMrM4HCs2/Mx7sLsKyhGtHZexODkT/swl/PofI4kLIZCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:33.814932Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ef0a62c859c28053a87f4fff1435fa18dbfb285020e5556cd87b77db10a843f","sha256:7f0fc479eb5c9570f2d3860109ff220ab6d39c677742a0cf786b973f133463b4"],"state_sha256":"258c0cc1d4f867e89e3a5e2cb64445eda0e7599e5a83720762c24ebf71dd6318"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+IisnbpKIxT48Hvz0V6cqmjsTtugQEA2ATPCT8FfxIMx16DjWxHaTLMCaYOt8jnSSC/t9Pmfq7gv5ZNa8qtEBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T20:14:32.608275Z","bundle_sha256":"b0a25e896e42ecedb53d4ec2ec718bffbfb1aeccf20dcb6dbc8af3e9b8dae359"}}