{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BUX77XZHWPVXW6UQEX5DTK5CE7","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":"278c7b12c04a22963e60081e003e0d13454fa32874b13e93a0354b274874bdb0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T03:10:26Z","title_canon_sha256":"c5b55982d0b617bd92c3231c359bcaba7f62a193fe2e84b55f4da1917de61aff"},"schema_version":"1.0","source":{"id":"2412.14484","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14484","created_at":"2026-07-05T12:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14484v3","created_at":"2026-07-05T12:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14484","created_at":"2026-07-05T12:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"BUX77XZHWPVX","created_at":"2026-07-05T12:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"BUX77XZHWPVXW6UQ","created_at":"2026-07-05T12:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"BUX77XZH","created_at":"2026-07-05T12:06:04Z"}],"graph_snapshots":[{"event_id":"sha256:3248809c2f9d39ccc317602cd0b1db988edf1e09a9f7f895ca74b6429c72401b","target":"graph","created_at":"2026-07-05T12:06:04Z","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/2412.14484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce DirectorLLM, a novel video generation model that employs a large language model (LLM) to orchestrate human poses within videos. As foundational text-to-video models rapidly evolve, the demand for high-quality human motion and interaction grows. To address this need and enhance the authenticity of human motions, we extend the LLM from a text generator to a video director and human motion simulator. Utilizing open-source resources from Llama 3, we train the DirectorLLM to generate detailed instructional signals, such as human poses, to guide video generation. This app","authors_text":"Ahmed Elgammal, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Jialiang Wang, Kunpeng Song, Li Chen, Peizhao Zhang, Peter Vajda, Sam Tsai, Tingbo Hou, Xiaoliang Dai, Xide Xia, Yaqiao Luo, Zecheng He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T03:10:26Z","title":"Llama Learns to Direct: DirectorLLM for Human-Centric Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14484","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":"sha256:9c5927f5b5c91848a22cd31fbaaed28804324063d7bc47d26ce1d7cab6a64eba","target":"record","created_at":"2026-07-05T12:06:04Z","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":"278c7b12c04a22963e60081e003e0d13454fa32874b13e93a0354b274874bdb0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T03:10:26Z","title_canon_sha256":"c5b55982d0b617bd92c3231c359bcaba7f62a193fe2e84b55f4da1917de61aff"},"schema_version":"1.0","source":{"id":"2412.14484","kind":"arxiv","version":3}},"canonical_sha256":"0d2fffdf27b3eb7b7a9025fa39aba227ca32cdca1f0f7542d82d5c35dc0e5b63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d2fffdf27b3eb7b7a9025fa39aba227ca32cdca1f0f7542d82d5c35dc0e5b63","first_computed_at":"2026-07-05T12:06:04.264028Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:04.264028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ntMqo/J5SHdgfW4daN2gLLDVRRDj4x9oAhgmXMx9bTnyJVUYsM2XAyqB2YxZIxXL752UsNOylyiZfXBBiAAiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:04.264566Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14484","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c5927f5b5c91848a22cd31fbaaed28804324063d7bc47d26ce1d7cab6a64eba","sha256:3248809c2f9d39ccc317602cd0b1db988edf1e09a9f7f895ca74b6429c72401b"],"state_sha256":"0f098e7c06d13dcf7103ca2bdf75c4e8d8f86f6636181227a070872f1fdbb01b"}