{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:77X2646FYXIMB7N4CDRNGEMWDS","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":"b078dd7b4ffb6e463168f21b495a48a8f999f3cbf37627a254c562f98b055aff","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-02-19T12:14:38Z","title_canon_sha256":"745e054a20e385a5a7b6fdfba40bf29f96d5186c088137c371dafbb2f6ba3327"},"schema_version":"1.0","source":{"id":"2503.16451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16451","created_at":"2026-07-05T10:36:41Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16451v1","created_at":"2026-07-05T10:36:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16451","created_at":"2026-07-05T10:36:41Z"},{"alias_kind":"pith_short_12","alias_value":"77X2646FYXIM","created_at":"2026-07-05T10:36:41Z"},{"alias_kind":"pith_short_16","alias_value":"77X2646FYXIMB7N4","created_at":"2026-07-05T10:36:41Z"},{"alias_kind":"pith_short_8","alias_value":"77X2646F","created_at":"2026-07-05T10:36:41Z"}],"graph_snapshots":[{"event_id":"sha256:70ec4d4ab015081a3052c24ae5629ca3d527b2fa7df7cd6946f5d82bb17a92bb","target":"graph","created_at":"2026-07-05T10:36:41Z","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/2503.16451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modeling human-like action-to-reaction generation has significant real-world applications, like human-robot interaction and games. Despite recent advancements in single-person motion generation, it is still challenging to well handle action-to-reaction generation, due to the difficulty of directly predicting reaction from action sequence without prompts, and the absence of a unified representation that effectively encodes multi-person motion. To address these challenges, we introduce Think-Then-React (TTR), a large language-model-based framework designed to generate human-like reactions. First","authors_text":"BoYuan Li, Chuhao Jin, Ruihua Song, Wenbing Huang, Wenhui Tan, Xiting Wang","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-02-19T12:14:38Z","title":"Think-Then-React: Towards Unconstrained Human Action-to-Reaction Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16451","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":"sha256:98f55fb3a201bf2bed4b3522c633d55e81516e02f94b5bb56e394c7b4bace275","target":"record","created_at":"2026-07-05T10:36:41Z","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":"b078dd7b4ffb6e463168f21b495a48a8f999f3cbf37627a254c562f98b055aff","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-02-19T12:14:38Z","title_canon_sha256":"745e054a20e385a5a7b6fdfba40bf29f96d5186c088137c371dafbb2f6ba3327"},"schema_version":"1.0","source":{"id":"2503.16451","kind":"arxiv","version":1}},"canonical_sha256":"ffefaf73c5c5d0c0fdbc10e2d311961cbad5b11f0c5570e2fc529b9672b40266","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffefaf73c5c5d0c0fdbc10e2d311961cbad5b11f0c5570e2fc529b9672b40266","first_computed_at":"2026-07-05T10:36:41.108354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:41.108354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GERg1rvNA+w3vsXD4tsiZbr894e9/lqZZjjxTWPeuU568yC/kId8tKwT3sjNMpgfRHBuGokb+NKJQ9Y8ecHIDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:41.108840Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98f55fb3a201bf2bed4b3522c633d55e81516e02f94b5bb56e394c7b4bace275","sha256:70ec4d4ab015081a3052c24ae5629ca3d527b2fa7df7cd6946f5d82bb17a92bb"],"state_sha256":"bcb6c5aad0c0792feffd135f67a5a3ae10ad5b0917fde2bd7138a639d0e9a27c"}