{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:D2RJV7NGO6L23H2DYGIAMJ6UK6","short_pith_number":"pith:D2RJV7NG","canonical_record":{"source":{"id":"2605.29488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T07:15:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8349f3278ea8c18f92a268abf4e678a8a49cd44c06498195fc0f3264ba455f3b","abstract_canon_sha256":"a5fa456da793b6462cd37d55235bb473544d237d660ff43bce689f177b702384"},"schema_version":"1.0"},"canonical_sha256":"1ea29afda67797ad9f43c1900627d457b5cf372c4dea75b929aa97edef5f9c4e","source":{"kind":"arxiv","id":"2605.29488","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29488","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29488v1","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29488","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"D2RJV7NGO6L2","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"D2RJV7NGO6L23H2D","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"D2RJV7NG","created_at":"2026-05-29T01:05:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:D2RJV7NGO6L23H2DYGIAMJ6UK6","target":"record","payload":{"canonical_record":{"source":{"id":"2605.29488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T07:15:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8349f3278ea8c18f92a268abf4e678a8a49cd44c06498195fc0f3264ba455f3b","abstract_canon_sha256":"a5fa456da793b6462cd37d55235bb473544d237d660ff43bce689f177b702384"},"schema_version":"1.0"},"canonical_sha256":"1ea29afda67797ad9f43c1900627d457b5cf372c4dea75b929aa97edef5f9c4e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:42.342327Z","signature_b64":"KBKgyz+F1CH8QOed3FzR17pkq20v0KXtvDnH/mjBw68XYp3dHRS7gIiPQboHKFkcam8onrfRrJ65FuBhJnQ+Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ea29afda67797ad9f43c1900627d457b5cf372c4dea75b929aa97edef5f9c4e","last_reissued_at":"2026-05-29T01:05:42.341537Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:42.341537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.29488","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":"2026-05-29T01:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Glkfg9ewVspkWDo3UYXItEhU496aWDTz9Ou2G+1Sx25je8HcLnXleFCUrDWxx8AWCtmCWKHnBmCfuUUOxrL3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:44:29.077780Z"},"content_sha256":"582f9edd3d549ef65b14513988353e323c9f62ee480a417075a1f70cab9e5536","schema_version":"1.0","event_id":"sha256:582f9edd3d549ef65b14513988353e323c9f62ee480a417075a1f70cab9e5536"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:D2RJV7NGO6L23H2DYGIAMJ6UK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hao Liu, Hong Chang, Ruibing Hou, Shiguang Shan, Yiheng Li, Yingjie Chen, Zhuo Li","submitted_at":"2026-05-28T07:15:19Z","abstract_excerpt":"Conditional human motion generation remains a fundamental challenge in computer vision and robotics. Despite significant progress, current methods are often constrained by fixed modality configurations and task-specific architectures, leaving cross-modal interactions and the scaling laws of multimodal-conditioned synthesis largely underexplored. A key bottleneck is the scarcity of large-scale modality-aligned motion data, limiting generalization across diverse control signals. In this work, we introduce OmniHuMo, a large-scale, high-quality dataset comprising over 5,000 hours of motion and 3.2"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29488","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/2605.29488/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":"2026-05-29T01:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xVk3RR30166Y2Vh+Z2RW4MwgPy6+YMhDqMRbeJ/yJEpDNo/DQlnnIcRONceX+4ybn2U2rmsa4XDnipSeG91KBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:44:29.078177Z"},"content_sha256":"6cd8510643dfabffb3254e17e5b7e15af71306dac254b75ecd852012ac3cca9b","schema_version":"1.0","event_id":"sha256:6cd8510643dfabffb3254e17e5b7e15af71306dac254b75ecd852012ac3cca9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/bundle.json","state_url":"https://pith.science/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/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":"2026-06-01T22:44:29Z","links":{"resolver":"https://pith.science/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6","bundle":"https://pith.science/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/bundle.json","state":"https://pith.science/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D2RJV7NGO6L23H2DYGIAMJ6UK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:D2RJV7NGO6L23H2DYGIAMJ6UK6","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":"a5fa456da793b6462cd37d55235bb473544d237d660ff43bce689f177b702384","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T07:15:19Z","title_canon_sha256":"8349f3278ea8c18f92a268abf4e678a8a49cd44c06498195fc0f3264ba455f3b"},"schema_version":"1.0","source":{"id":"2605.29488","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29488","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29488v1","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29488","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"D2RJV7NGO6L2","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"D2RJV7NGO6L23H2D","created_at":"2026-05-29T01:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"D2RJV7NG","created_at":"2026-05-29T01:05:42Z"}],"graph_snapshots":[{"event_id":"sha256:6cd8510643dfabffb3254e17e5b7e15af71306dac254b75ecd852012ac3cca9b","target":"graph","created_at":"2026-05-29T01:05:42Z","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/2605.29488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conditional human motion generation remains a fundamental challenge in computer vision and robotics. Despite significant progress, current methods are often constrained by fixed modality configurations and task-specific architectures, leaving cross-modal interactions and the scaling laws of multimodal-conditioned synthesis largely underexplored. A key bottleneck is the scarcity of large-scale modality-aligned motion data, limiting generalization across diverse control signals. In this work, we introduce OmniHuMo, a large-scale, high-quality dataset comprising over 5,000 hours of motion and 3.2","authors_text":"Hao Liu, Hong Chang, Ruibing Hou, Shiguang Shan, Yiheng Li, Yingjie Chen, Zhuo Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T07:15:19Z","title":"AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29488","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":"sha256:582f9edd3d549ef65b14513988353e323c9f62ee480a417075a1f70cab9e5536","target":"record","created_at":"2026-05-29T01:05:42Z","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":"a5fa456da793b6462cd37d55235bb473544d237d660ff43bce689f177b702384","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T07:15:19Z","title_canon_sha256":"8349f3278ea8c18f92a268abf4e678a8a49cd44c06498195fc0f3264ba455f3b"},"schema_version":"1.0","source":{"id":"2605.29488","kind":"arxiv","version":1}},"canonical_sha256":"1ea29afda67797ad9f43c1900627d457b5cf372c4dea75b929aa97edef5f9c4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ea29afda67797ad9f43c1900627d457b5cf372c4dea75b929aa97edef5f9c4e","first_computed_at":"2026-05-29T01:05:42.341537Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:42.341537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KBKgyz+F1CH8QOed3FzR17pkq20v0KXtvDnH/mjBw68XYp3dHRS7gIiPQboHKFkcam8onrfRrJ65FuBhJnQ+Cw==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:42.342327Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29488","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:582f9edd3d549ef65b14513988353e323c9f62ee480a417075a1f70cab9e5536","sha256:6cd8510643dfabffb3254e17e5b7e15af71306dac254b75ecd852012ac3cca9b"],"state_sha256":"11536e2aaad7fb2f13cea006647f87a3a1ec199dd7907b3cb72697e2e0703c99"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TI+g5sGhXUtK/kqpTG30X/sBdUPpCpyRgjn/jNd3ht3YvgohiM0ofg6WqRsOFUkDu0D9vIVQsaO0IHV+lhQ5Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T22:44:29.080236Z","bundle_sha256":"338066566fceb40381974b16da41fca5d452c5e387506a67ad0488ebe8fc0d97"}}