{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ES63LNTSRA5RNZTQNKLNILZFQO","short_pith_number":"pith:ES63LNTS","canonical_record":{"source":{"id":"2312.08985","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:31:40Z","cross_cats_sorted":[],"title_canon_sha256":"30238942523ddddb7dddc3ffa6048785e58ee752a6ece08134ddd31099c0299d","abstract_canon_sha256":"3ebec12d8bdf69b82bcea7af68f031f0981cdd87fa844a9ffa1fa86339f7f7af"},"schema_version":"1.0"},"canonical_sha256":"24bdb5b672883b16e6706a96d42f25839dd5a09df19cedb39615f1ecb48e82f0","source":{"kind":"arxiv","id":"2312.08985","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08985","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08985v3","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08985","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_12","alias_value":"ES63LNTSRA5R","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_16","alias_value":"ES63LNTSRA5RNZTQ","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_8","alias_value":"ES63LNTS","created_at":"2026-07-05T07:57:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ES63LNTSRA5RNZTQNKLNILZFQO","target":"record","payload":{"canonical_record":{"source":{"id":"2312.08985","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:31:40Z","cross_cats_sorted":[],"title_canon_sha256":"30238942523ddddb7dddc3ffa6048785e58ee752a6ece08134ddd31099c0299d","abstract_canon_sha256":"3ebec12d8bdf69b82bcea7af68f031f0981cdd87fa844a9ffa1fa86339f7f7af"},"schema_version":"1.0"},"canonical_sha256":"24bdb5b672883b16e6706a96d42f25839dd5a09df19cedb39615f1ecb48e82f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:57:47.780528Z","signature_b64":"oPHfpqAAl7/eoak0x0loCA9nYZvIIYyeOX+LfV5jKgcITBAYGL9gdG2x6BWhmUF7XHPxAcDDZGVT2u8plkbhBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24bdb5b672883b16e6706a96d42f25839dd5a09df19cedb39615f1ecb48e82f0","last_reissued_at":"2026-07-05T07:57:47.780018Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:57:47.780018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.08985","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:57:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pe2g4hQZkPe3H1IxYrsGDca4muYUysEyN/QisSMMA4fyqXI9TklBSshebXuw82choLN+PGoyoPF16kf5gYgoDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T00:08:54.803482Z"},"content_sha256":"09dd6dda1e20d2bef8a8a3170c04de3b7c94d094a5db21781ec40fc1a3253a64","schema_version":"1.0","event_id":"sha256:09dd6dda1e20d2bef8a8a3170c04de3b7c94d094a5db21781ec40fc1a3253a64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ES63LNTSRA5RNZTQNKLNILZFQO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Han Liang, Jiacheng Bao, Jingyi Yu, Lan Xu, Ruichi Zhang, Sibei Yang, Sihan Ren, Xin Chen, Yuecheng Xu","submitted_at":"2023-12-14T14:31:40Z","abstract_excerpt":"We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which limits the applications. In this paper, we present OMG, a novel framework, which enables compelling motion generation from zero-shot open-vocabulary text prompts. Our key idea is to carefully tailor the pretrain-then-finetune paradigm into the text-to-motion generation. At the pre-training stage, our model improves the generation ability by learning the rich out-of-domain inherent motion traits. To this end, we scal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08985","kind":"arxiv","version":3},"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/2312.08985/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":"2026-07-05T07:57:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CphGFoZRb7N9Zzd0JtCxQm+NxMEpzpUgkV34wjRzyoYRP24THry4fwkjHbXto8rddqO9gcMd4ABMdiAFVxyRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T00:08:54.804083Z"},"content_sha256":"fbe63628717e601f8e1bfbe03ae9777ad9167a3189c9b205c2c63c144e230f5c","schema_version":"1.0","event_id":"sha256:fbe63628717e601f8e1bfbe03ae9777ad9167a3189c9b205c2c63c144e230f5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ES63LNTSRA5RNZTQNKLNILZFQO/bundle.json","state_url":"https://pith.science/pith/ES63LNTSRA5RNZTQNKLNILZFQO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ES63LNTSRA5RNZTQNKLNILZFQO/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":"2026-08-13T00:08:54Z","links":{"resolver":"https://pith.science/pith/ES63LNTSRA5RNZTQNKLNILZFQO","bundle":"https://pith.science/pith/ES63LNTSRA5RNZTQNKLNILZFQO/bundle.json","state":"https://pith.science/pith/ES63LNTSRA5RNZTQNKLNILZFQO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ES63LNTSRA5RNZTQNKLNILZFQO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ES63LNTSRA5RNZTQNKLNILZFQO","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":"3ebec12d8bdf69b82bcea7af68f031f0981cdd87fa844a9ffa1fa86339f7f7af","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:31:40Z","title_canon_sha256":"30238942523ddddb7dddc3ffa6048785e58ee752a6ece08134ddd31099c0299d"},"schema_version":"1.0","source":{"id":"2312.08985","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08985","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08985v3","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08985","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_12","alias_value":"ES63LNTSRA5R","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_16","alias_value":"ES63LNTSRA5RNZTQ","created_at":"2026-07-05T07:57:47Z"},{"alias_kind":"pith_short_8","alias_value":"ES63LNTS","created_at":"2026-07-05T07:57:47Z"}],"graph_snapshots":[{"event_id":"sha256:fbe63628717e601f8e1bfbe03ae9777ad9167a3189c9b205c2c63c144e230f5c","target":"graph","created_at":"2026-07-05T07:57:47Z","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/2312.08985/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which limits the applications. In this paper, we present OMG, a novel framework, which enables compelling motion generation from zero-shot open-vocabulary text prompts. Our key idea is to carefully tailor the pretrain-then-finetune paradigm into the text-to-motion generation. At the pre-training stage, our model improves the generation ability by learning the rich out-of-domain inherent motion traits. To this end, we scal","authors_text":"Han Liang, Jiacheng Bao, Jingyi Yu, Lan Xu, Ruichi Zhang, Sibei Yang, Sihan Ren, Xin Chen, Yuecheng Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:31:40Z","title":"OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08985","kind":"arxiv","version":3},"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":"sha256:09dd6dda1e20d2bef8a8a3170c04de3b7c94d094a5db21781ec40fc1a3253a64","target":"record","created_at":"2026-07-05T07:57:47Z","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":"3ebec12d8bdf69b82bcea7af68f031f0981cdd87fa844a9ffa1fa86339f7f7af","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:31:40Z","title_canon_sha256":"30238942523ddddb7dddc3ffa6048785e58ee752a6ece08134ddd31099c0299d"},"schema_version":"1.0","source":{"id":"2312.08985","kind":"arxiv","version":3}},"canonical_sha256":"24bdb5b672883b16e6706a96d42f25839dd5a09df19cedb39615f1ecb48e82f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24bdb5b672883b16e6706a96d42f25839dd5a09df19cedb39615f1ecb48e82f0","first_computed_at":"2026-07-05T07:57:47.780018Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:47.780018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oPHfpqAAl7/eoak0x0loCA9nYZvIIYyeOX+LfV5jKgcITBAYGL9gdG2x6BWhmUF7XHPxAcDDZGVT2u8plkbhBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:47.780528Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.08985","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09dd6dda1e20d2bef8a8a3170c04de3b7c94d094a5db21781ec40fc1a3253a64","sha256:fbe63628717e601f8e1bfbe03ae9777ad9167a3189c9b205c2c63c144e230f5c"],"state_sha256":"5709f4d3d8418d255c22525f204a0c29cb633a86c2f36c6b02fb7880a02d1545"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0E3uTaRUd75MUkgP1MILtZ2Hv1L5NpYQgKJT0mRwK4FcXFR5HdavTrYCkpJCGuPAu+sVbfbDXzs9TjJM35pIDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T00:08:54.808797Z","bundle_sha256":"8110e41b75de58b1ebf79a116fa5e01c7c17debaf4d4e160f8424889b7a02814"}}