{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:56TFENGPJQ7TZT724QD6MP3DAL","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":"ef84488cb34417a2337aec68af2f6fe776b7beadfc72a5ee4ee421519fe723cc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-25T03:49:25Z","title_canon_sha256":"94cb8a547ab3b5106f42cb814700fc76f34da6be25eb416742b1c20d0e51c392"},"schema_version":"1.0","source":{"id":"2606.26575","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.26575","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.26575v1","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26575","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_12","alias_value":"56TFENGPJQ7T","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_16","alias_value":"56TFENGPJQ7TZT72","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_8","alias_value":"56TFENGP","created_at":"2026-06-26T01:15:35Z"}],"graph_snapshots":[{"event_id":"sha256:fba38b97fed2272785212d585fbee61ef55c67124f78ccfa038aefaf797c7b1f","target":"graph","created_at":"2026-06-26T01:15:35Z","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/2606.26575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Complex multi-agent control tasks remain challenging for traditional rule-based and model-based approaches, motivating the adoption of learning-based methods. However, learning-based methods often struggle with sim-to-real transfer because they rely on accurate dynamics modeling or system identification and learn policies in low-level control spaces that are highly sensitive to dynamics mismatch, making them costly and fragile in complex environments. To address this issue, we propose a sim-to-real method for multi-agent control, which is insensitive to dynamics mismatch via effect alignment. ","authors_text":"Bin Cheng, Bin He, Chenlong Liu, Xinyan Chen, Zhipeng Wang, Zhuohui Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-25T03:49:25Z","title":"IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26575","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":"sha256:536dfbc5cf8583a271d374b4a322d43d06e2119ab43a7fab3cbb9123e3b60ff1","target":"record","created_at":"2026-06-26T01:15:35Z","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":"ef84488cb34417a2337aec68af2f6fe776b7beadfc72a5ee4ee421519fe723cc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-25T03:49:25Z","title_canon_sha256":"94cb8a547ab3b5106f42cb814700fc76f34da6be25eb416742b1c20d0e51c392"},"schema_version":"1.0","source":{"id":"2606.26575","kind":"arxiv","version":1}},"canonical_sha256":"efa65234cf4c3f3ccffae407e63f6302f6b297361e54938221fe59052d2aa7d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efa65234cf4c3f3ccffae407e63f6302f6b297361e54938221fe59052d2aa7d8","first_computed_at":"2026-06-26T01:15:35.255088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:35.255088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V24zBu9IUxgAUN2TNFHDxswDawA3Tyg4G4zGPV/cy3e+b2BV8weiaLo6VmBrFnzcIyEcpJC1aEjAXLz4YrRHCw==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:35.255551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.26575","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:536dfbc5cf8583a271d374b4a322d43d06e2119ab43a7fab3cbb9123e3b60ff1","sha256:fba38b97fed2272785212d585fbee61ef55c67124f78ccfa038aefaf797c7b1f"],"state_sha256":"441e5421aca5595b688bec4c4c8b8a63f30398752dfb1ba60ea38e88c4df1160"}