{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZNTPC2FW7CHH5TYQ44S4XECDSI","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":"ef42a9248c4aca7775955502bee5429b37e599ba557748b6010d0904809a0f5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-24T07:50:01Z","title_canon_sha256":"55dc6b116b1e5f91cb50b2c3dd370ca74b93f652847a3c40e5ac5fafd691bed9"},"schema_version":"1.0","source":{"id":"2502.16932","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.16932","created_at":"2026-07-05T10:19:02Z"},{"alias_kind":"arxiv_version","alias_value":"2502.16932v1","created_at":"2026-07-05T10:19:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.16932","created_at":"2026-07-05T10:19:02Z"},{"alias_kind":"pith_short_12","alias_value":"ZNTPC2FW7CHH","created_at":"2026-07-05T10:19:02Z"},{"alias_kind":"pith_short_16","alias_value":"ZNTPC2FW7CHH5TYQ","created_at":"2026-07-05T10:19:02Z"},{"alias_kind":"pith_short_8","alias_value":"ZNTPC2FW","created_at":"2026-07-05T10:19:02Z"}],"graph_snapshots":[{"event_id":"sha256:d01ba7d42e5e70978074d4471fc2695ff5b731cc0fee65fe2c0329d286c9b4b8","target":"graph","created_at":"2026-07-05T10:19:02Z","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/2502.16932/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visuomotor policies have shown great promise in robotic manipulation but often require substantial amounts of human-collected data for effective performance. A key reason underlying the data demands is their limited spatial generalization capability, which necessitates extensive data collection across different object configurations. In this work, we present DemoGen, a low-cost, fully synthetic approach for automatic demonstration generation. Using only one human-collected demonstration per task, DemoGen generates spatially augmented demonstrations by adapting the demonstrated action trajector","authors_text":"Huazhe Xu, Shuying Deng, Yixuan Wang, Zhecheng Yuan, Zhengrong Xue, Zhenyang Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-24T07:50:01Z","title":"DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.16932","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":"sha256:56500e39c610154f4e0e49cc982a6515ff2728aae5591cb3a1aeb1db50791850","target":"record","created_at":"2026-07-05T10:19:02Z","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":"ef42a9248c4aca7775955502bee5429b37e599ba557748b6010d0904809a0f5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-24T07:50:01Z","title_canon_sha256":"55dc6b116b1e5f91cb50b2c3dd370ca74b93f652847a3c40e5ac5fafd691bed9"},"schema_version":"1.0","source":{"id":"2502.16932","kind":"arxiv","version":1}},"canonical_sha256":"cb66f168b6f88e7ecf10e725cb90439236437ce46eb9a7cbfa146ee3ddec9f38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb66f168b6f88e7ecf10e725cb90439236437ce46eb9a7cbfa146ee3ddec9f38","first_computed_at":"2026-07-05T10:19:02.736620Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:02.736620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UTKw1gnOP/tIOcg7g44tMh3AwZ8rj18WtU4hTw8AFSdmpWTpJTsyhIjuI/epPK7jHq6ucULs0hO4DeKarUBoCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:02.737141Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.16932","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56500e39c610154f4e0e49cc982a6515ff2728aae5591cb3a1aeb1db50791850","sha256:d01ba7d42e5e70978074d4471fc2695ff5b731cc0fee65fe2c0329d286c9b4b8"],"state_sha256":"483521d6d340c5449c7df02475ab4fad37bab248149de4c4783d731a7ecc9641"}