{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DBBMOISHGZTPSZJMXRSUH5KDIB","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":"fed788f2a7dedcdc100428ca9688c45980cd7df7057c415bac9ea4e874d427df","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-13T12:29:50Z","title_canon_sha256":"e81ebbe86921c6828e9bb81f1d26265a6814ce98e9d59220015a0913fcafffd2"},"schema_version":"1.0","source":{"id":"2502.09268","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09268","created_at":"2026-07-05T10:14:09Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09268v2","created_at":"2026-07-05T10:14:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09268","created_at":"2026-07-05T10:14:09Z"},{"alias_kind":"pith_short_12","alias_value":"DBBMOISHGZTP","created_at":"2026-07-05T10:14:09Z"},{"alias_kind":"pith_short_16","alias_value":"DBBMOISHGZTPSZJM","created_at":"2026-07-05T10:14:09Z"},{"alias_kind":"pith_short_8","alias_value":"DBBMOISH","created_at":"2026-07-05T10:14:09Z"}],"graph_snapshots":[{"event_id":"sha256:aca1a6f1a643e7b3e51a75f69f77234bee195c8de772755c5ec8943daa9e1382","target":"graph","created_at":"2026-07-05T10:14:09Z","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/2502.09268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid development of embodied artificial intelligence, significant progress has been made in vision-language-action (VLA) models for general robot decision-making. However, the majority of existing VLAs fail to account for the inevitable external perturbations encountered during deployment. These perturbations introduce unforeseen state information to the VLA, resulting in inaccurate actions and consequently, a significant decline in generalization performance. The classic internal model control (IMC) principle demonstrates that a closed-loop system with an internal model that include","authors_text":"Donglin Wang, Hongyin Zhang, Pengxiang Ding, Shangke Lyu, Ying Peng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-13T12:29:50Z","title":"GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09268","kind":"arxiv","version":2},"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":"sha256:970e1e5367f1e9c73ca85ddf64f475f146e6b6622aadd642f980e0ebde520661","target":"record","created_at":"2026-07-05T10:14:09Z","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":"fed788f2a7dedcdc100428ca9688c45980cd7df7057c415bac9ea4e874d427df","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-13T12:29:50Z","title_canon_sha256":"e81ebbe86921c6828e9bb81f1d26265a6814ce98e9d59220015a0913fcafffd2"},"schema_version":"1.0","source":{"id":"2502.09268","kind":"arxiv","version":2}},"canonical_sha256":"1842c722473666f9652cbc6543f5434058f3145a9cb3889dfef1acca7559b0e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1842c722473666f9652cbc6543f5434058f3145a9cb3889dfef1acca7559b0e4","first_computed_at":"2026-07-05T10:14:09.283672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:09.283672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M5vCMYDOWUAOnlaEQXIltF8SfCQ3RAlWkY8zx2HeSU8HFU3IEWKroKd2AB2EYGxNuNM6mPluGOKg3qZhCVksCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:09.285238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09268","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:970e1e5367f1e9c73ca85ddf64f475f146e6b6622aadd642f980e0ebde520661","sha256:aca1a6f1a643e7b3e51a75f69f77234bee195c8de772755c5ec8943daa9e1382"],"state_sha256":"b0dd20119dd77ffd2d942b1b88e26339112e41fda7eee771d375b246f0cae0b2"}