{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GVZMXM2QQXBQLAZAA63YXKNFCO","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":"2394788ce083018042a55cacd87efe637e828f23d7765b9eeaf1e8e1ae5e60ff","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-14T00:17:12Z","title_canon_sha256":"88ebd635afbf07e889e1a7e331aafabc6a0bb8d58a73a7c852e12f337adeb8c5"},"schema_version":"1.0","source":{"id":"2507.09836","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09836","created_at":"2026-07-05T11:36:40Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09836v1","created_at":"2026-07-05T11:36:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09836","created_at":"2026-07-05T11:36:40Z"},{"alias_kind":"pith_short_12","alias_value":"GVZMXM2QQXBQ","created_at":"2026-07-05T11:36:40Z"},{"alias_kind":"pith_short_16","alias_value":"GVZMXM2QQXBQLAZA","created_at":"2026-07-05T11:36:40Z"},{"alias_kind":"pith_short_8","alias_value":"GVZMXM2Q","created_at":"2026-07-05T11:36:40Z"}],"graph_snapshots":[{"event_id":"sha256:f22bebad1601001527e00742c5a027fa79bc9f77aea6081ef62a4dbd4831aac4","target":"graph","created_at":"2026-07-05T11:36:40Z","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/2507.09836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous vehicles (AVs) are becoming increasingly popular, with their applications now extending beyond just a mode of transportation to serving as mobile actuators of a traffic flow to control flow dynamics. This contrasts with traditional fixed-location actuators, such as traffic signals, and is referred to as Lagrangian traffic control. However, designing effective Lagrangian traffic control policies for AVs that generalize across traffic scenarios introduces a major challenge. Real-world traffic environments are highly diverse, and developing policies that perform robustly across such di","authors_text":"Cathy Wu, Sirui Li, Vindula Jayawardana, Yashar Farid","cross_cats":["cs.AI","cs.LG","cs.MA","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-14T00:17:12Z","title":"Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09836","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:ea6b4b8c9dce03f40be28cc154794a12be812db1a2d54dd026d7d019992d2829","target":"record","created_at":"2026-07-05T11:36:40Z","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":"2394788ce083018042a55cacd87efe637e828f23d7765b9eeaf1e8e1ae5e60ff","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-14T00:17:12Z","title_canon_sha256":"88ebd635afbf07e889e1a7e331aafabc6a0bb8d58a73a7c852e12f337adeb8c5"},"schema_version":"1.0","source":{"id":"2507.09836","kind":"arxiv","version":1}},"canonical_sha256":"3572cbb35085c305832007b78ba9a513a09358708feb79b70d47e7f7627add19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3572cbb35085c305832007b78ba9a513a09358708feb79b70d47e7f7627add19","first_computed_at":"2026-07-05T11:36:40.606146Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:40.606146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NSyWhFxNy6zg+9tlrv2aSkhTxfniIzQ4u1P/a7AnI+xaYOLqfVazoeE5OznWKsfs+A4g9BzrSdKzIuN1nytYBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:40.606701Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.09836","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea6b4b8c9dce03f40be28cc154794a12be812db1a2d54dd026d7d019992d2829","sha256:f22bebad1601001527e00742c5a027fa79bc9f77aea6081ef62a4dbd4831aac4"],"state_sha256":"ff3f4fa095084fc6d30c517aab1e9390445ad8dc3054cdcff292bc732418f0d6"}