{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AYMIUY3QG45L4KUYVMRCQ6B2T5","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":"e0bab3fe8d3da1b4bb92b6e6070893e9dbf26713411cced941962dd082461380","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T06:32:27Z","title_canon_sha256":"0ba4e774ad7e574cfbe999182018c7aab0e8da0c617b7120e47c73d3c290e62c"},"schema_version":"1.0","source":{"id":"2608.06434","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06434","created_at":"2026-08-10T01:10:40Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06434v1","created_at":"2026-08-10T01:10:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06434","created_at":"2026-08-10T01:10:40Z"},{"alias_kind":"pith_short_12","alias_value":"AYMIUY3QG45L","created_at":"2026-08-10T01:10:40Z"},{"alias_kind":"pith_short_16","alias_value":"AYMIUY3QG45L4KUY","created_at":"2026-08-10T01:10:40Z"},{"alias_kind":"pith_short_8","alias_value":"AYMIUY3Q","created_at":"2026-08-10T01:10:40Z"}],"graph_snapshots":[{"event_id":"sha256:2516096fd9cfea5ac202498563a061a34ab558d030dc3d2ed711295ad1419e05","target":"graph","created_at":"2026-08-10T01:10:40Z","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/2608.06434/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Embodied intelligence demands both long-horizon reasoning and real-time closed-loop responsiveness. Recent dual-system Vision-Language-Action (VLA) architectures combine fast reactive control with slow deliberative reasoning to balance inference speed and task success rate. However, existing dual-process VLAs tightly couple the fast module to intermediate representations of the slow module, necessitating end-to-end joint training and limiting modularity, extensibility and flexible system switching. In this paper, we propose Environment-aware Model Selection (EMS), an adaptive VLA inference fra","authors_text":"Guanqing Deng, Guiqin Wang, Jingwen Li, Lang Qin, Qinghai Guo, Shengzeng Huo, Tao Fang, Wenxin Ren, Xiang Wang, Xiaochen Zhang, Xiaowen Dong, Yuewei Sun, Yuxin Ma, Zechuan Tian","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T06:32:27Z","title":"Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06434","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":"sha256:79e0e73353ab41070b35d804f39786c640f2b1d011b249a788d10506dd30f5c8","target":"record","created_at":"2026-08-10T01:10:40Z","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":"e0bab3fe8d3da1b4bb92b6e6070893e9dbf26713411cced941962dd082461380","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T06:32:27Z","title_canon_sha256":"0ba4e774ad7e574cfbe999182018c7aab0e8da0c617b7120e47c73d3c290e62c"},"schema_version":"1.0","source":{"id":"2608.06434","kind":"arxiv","version":1}},"canonical_sha256":"06188a6370373abe2a98ab2228783a9f6f9a7c9430e80772dfc4335fe2057e94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06188a6370373abe2a98ab2228783a9f6f9a7c9430e80772dfc4335fe2057e94","first_computed_at":"2026-08-10T01:10:40.265745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-10T01:10:40.265745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6M7/hFqdAdS9mlvgHycr3xuI38RHYgt9a9gIg3eC1LS5HRIBWGqnjWqgbqdgx+ZrTxiZrmIHx7ZwMQYuubxNAA==","signature_status":"signed_v1","signed_at":"2026-08-10T01:10:40.268066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06434","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79e0e73353ab41070b35d804f39786c640f2b1d011b249a788d10506dd30f5c8","sha256:2516096fd9cfea5ac202498563a061a34ab558d030dc3d2ed711295ad1419e05"],"state_sha256":"97db0ed2c649ad22609421ff8a24e83bce64a027f74c60d6494f8baa0ad3d488"}