{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MJYBFDKB3BVSQPFOG2OMY4FTTZ","short_pith_number":"pith:MJYBFDKB","canonical_record":{"source":{"id":"2506.05397","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-03T20:04:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce6634cca4a11c6ec0030488ebea8df92a443bfc012e8b14f09c2b6d43e887f6","abstract_canon_sha256":"b46ca9e857bcbb17ac5e25a7334cae87b5593c464711ba7f723a0e0f78dbe811"},"schema_version":"1.0"},"canonical_sha256":"6270128d41d86b283cae369ccc70b39e74dbc62de640d1ea2b393c7c84d7adc9","source":{"kind":"arxiv","id":"2506.05397","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05397","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05397v1","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05397","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_12","alias_value":"MJYBFDKB3BVS","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_16","alias_value":"MJYBFDKB3BVSQPFO","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_8","alias_value":"MJYBFDKB","created_at":"2026-07-05T11:17:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MJYBFDKB3BVSQPFOG2OMY4FTTZ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.05397","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-03T20:04:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce6634cca4a11c6ec0030488ebea8df92a443bfc012e8b14f09c2b6d43e887f6","abstract_canon_sha256":"b46ca9e857bcbb17ac5e25a7334cae87b5593c464711ba7f723a0e0f78dbe811"},"schema_version":"1.0"},"canonical_sha256":"6270128d41d86b283cae369ccc70b39e74dbc62de640d1ea2b393c7c84d7adc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:01.960938Z","signature_b64":"jt7EwkicsC3SbM1HbhxcjYnVkhMpXurNEPB1/zvATgTMxad6O17Tlzr8eg9dtvHmRTkVLJJnuG44l0VheabKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6270128d41d86b283cae369ccc70b39e74dbc62de640d1ea2b393c7c84d7adc9","last_reissued_at":"2026-07-05T11:17:01.960475Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:01.960475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.05397","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":"2026-07-05T11:17:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5LhM2qqaXaLko/j27dwbHAl6GXJU19bw8gyHsX6LwWDxJPgocL63X6BaiNTCiwgwyfYpAHjhenLLHRuavlb+CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:14:00.322562Z"},"content_sha256":"55f16b41bf43ee1b6417822ae3a91c3bfb7090d711d397394da8b0f68f0dfe08","schema_version":"1.0","event_id":"sha256:55f16b41bf43ee1b6417822ae3a91c3bfb7090d711d397394da8b0f68f0dfe08"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MJYBFDKB3BVSQPFOG2OMY4FTTZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gen4D: Synthesizing Humans and Scenes in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.GR","authors_text":"David Clausi, Jerrin Bright, John Zelek, Sirisha Rambhatla, Yuhao Chen, Zhibo Wang","submitted_at":"2025-06-03T20:04:41Z","abstract_excerpt":"Lack of input data for in-the-wild activities often results in low performance across various computer vision tasks. This challenge is particularly pronounced in uncommon human-centric domains like sports, where real-world data collection is complex and impractical. While synthetic datasets offer a promising alternative, existing approaches typically suffer from limited diversity in human appearance, motion, and scene composition due to their reliance on rigid asset libraries and hand-crafted rendering pipelines. To address this, we introduce Gen4D, a fully automated pipeline for generating di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05397","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/2506.05397/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":"2026-07-05T11:17:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/h0U/geUK1vmlqIAgYtK3EXzevYivjOierP7GLkuVJhrCIl6PmUOBjp7xGs+y3KkV8iTNpcGMjd3DShSEUOWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:14:00.323059Z"},"content_sha256":"1f86fbd4aaf1794d4f42a04d1b6526fbf4801751295d3918892b9b970375e1eb","schema_version":"1.0","event_id":"sha256:1f86fbd4aaf1794d4f42a04d1b6526fbf4801751295d3918892b9b970375e1eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/bundle.json","state_url":"https://pith.science/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/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":"2026-08-08T00:14:00Z","links":{"resolver":"https://pith.science/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ","bundle":"https://pith.science/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/bundle.json","state":"https://pith.science/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MJYBFDKB3BVSQPFOG2OMY4FTTZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MJYBFDKB3BVSQPFOG2OMY4FTTZ","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":"b46ca9e857bcbb17ac5e25a7334cae87b5593c464711ba7f723a0e0f78dbe811","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-03T20:04:41Z","title_canon_sha256":"ce6634cca4a11c6ec0030488ebea8df92a443bfc012e8b14f09c2b6d43e887f6"},"schema_version":"1.0","source":{"id":"2506.05397","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05397","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05397v1","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05397","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_12","alias_value":"MJYBFDKB3BVS","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_16","alias_value":"MJYBFDKB3BVSQPFO","created_at":"2026-07-05T11:17:01Z"},{"alias_kind":"pith_short_8","alias_value":"MJYBFDKB","created_at":"2026-07-05T11:17:01Z"}],"graph_snapshots":[{"event_id":"sha256:1f86fbd4aaf1794d4f42a04d1b6526fbf4801751295d3918892b9b970375e1eb","target":"graph","created_at":"2026-07-05T11:17:01Z","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/2506.05397/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lack of input data for in-the-wild activities often results in low performance across various computer vision tasks. This challenge is particularly pronounced in uncommon human-centric domains like sports, where real-world data collection is complex and impractical. While synthetic datasets offer a promising alternative, existing approaches typically suffer from limited diversity in human appearance, motion, and scene composition due to their reliance on rigid asset libraries and hand-crafted rendering pipelines. To address this, we introduce Gen4D, a fully automated pipeline for generating di","authors_text":"David Clausi, Jerrin Bright, John Zelek, Sirisha Rambhatla, Yuhao Chen, Zhibo Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-03T20:04:41Z","title":"Gen4D: Synthesizing Humans and Scenes in the Wild"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05397","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":"sha256:55f16b41bf43ee1b6417822ae3a91c3bfb7090d711d397394da8b0f68f0dfe08","target":"record","created_at":"2026-07-05T11:17:01Z","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":"b46ca9e857bcbb17ac5e25a7334cae87b5593c464711ba7f723a0e0f78dbe811","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-03T20:04:41Z","title_canon_sha256":"ce6634cca4a11c6ec0030488ebea8df92a443bfc012e8b14f09c2b6d43e887f6"},"schema_version":"1.0","source":{"id":"2506.05397","kind":"arxiv","version":1}},"canonical_sha256":"6270128d41d86b283cae369ccc70b39e74dbc62de640d1ea2b393c7c84d7adc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6270128d41d86b283cae369ccc70b39e74dbc62de640d1ea2b393c7c84d7adc9","first_computed_at":"2026-07-05T11:17:01.960475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:01.960475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jt7EwkicsC3SbM1HbhxcjYnVkhMpXurNEPB1/zvATgTMxad6O17Tlzr8eg9dtvHmRTkVLJJnuG44l0VheabKDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:01.960938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05397","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55f16b41bf43ee1b6417822ae3a91c3bfb7090d711d397394da8b0f68f0dfe08","sha256:1f86fbd4aaf1794d4f42a04d1b6526fbf4801751295d3918892b9b970375e1eb"],"state_sha256":"ed0a174da13e003f82c6aae2323f1ef03a4603354630a7346a2e09965dfa5c3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJAgKI6yfrDdz0FVr8dBwyoBkEfxwV6ZO9Xa3py5+ARH66hXT5ggd7HdECXOgWGlV49zSvfsMfgcldUHVhOADg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T00:14:00.328783Z","bundle_sha256":"7f15787937b56ce89e2c80a54d78195516558f38013de3f3c94e4d60c1b0462d"}}