{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:A4DTLTIOTL4HFIMLIHIOGJVD36","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":"d4ec31a702e42372c6dad7a57a55116751539b5d0c030861f4b055643ffaf9e2","cross_cats_sorted":["cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-06T18:20:13Z","title_canon_sha256":"427a805029ebc6db074841c6e7070a71e2a644490f95e3fcd9f0bf6100cade5e"},"schema_version":"1.0","source":{"id":"2602.06925","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.06925","created_at":"2026-06-02T02:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2602.06925v2","created_at":"2026-06-02T02:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.06925","created_at":"2026-06-02T02:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"A4DTLTIOTL4H","created_at":"2026-06-02T02:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"A4DTLTIOTL4HFIML","created_at":"2026-06-02T02:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"A4DTLTIO","created_at":"2026-06-02T02:04:51Z"}],"graph_snapshots":[{"event_id":"sha256:59278dfcfb8abef766b77632dca3c2eb1f1047beb51e46dd43f04543f833f1d9","target":"graph","created_at":"2026-06-02T02:04:51Z","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/2602.06925/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous drone racing pushes the boundaries of high-speed motion planning and multi-agent strategic decision-making. Success in this domain requires drones not only to navigate at their limits but also to anticipate and counteract competitors' actions. In this paper, we study a fundamental question that arises in this domain: how deeply should an agent strategize before taking an action? To this end, we compare two planning paradigms: the Model Predictive Game (MPG), which finds interaction-aware strategies at the expense of longer computation times, and contouring Model Predictive Control (","authors_text":"Andrei-Carlo Papuc, Javier Alonso-Mora, Lasse Peters, Laura Ferranti, Sihao Sun","cross_cats":["cs.GT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-06T18:20:13Z","title":"Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.06925","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":"sha256:7fa7e662d633d151194f6a7623b0d7e22b933291839ccecae876fad1d9394754","target":"record","created_at":"2026-06-02T02:04:51Z","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":"d4ec31a702e42372c6dad7a57a55116751539b5d0c030861f4b055643ffaf9e2","cross_cats_sorted":["cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-06T18:20:13Z","title_canon_sha256":"427a805029ebc6db074841c6e7070a71e2a644490f95e3fcd9f0bf6100cade5e"},"schema_version":"1.0","source":{"id":"2602.06925","kind":"arxiv","version":2}},"canonical_sha256":"070735cd0e9af872a18b41d0e326a3dfaa0fb04a209163c9e2c84bc452a98191","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"070735cd0e9af872a18b41d0e326a3dfaa0fb04a209163c9e2c84bc452a98191","first_computed_at":"2026-06-02T02:04:51.023686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:51.023686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lfe3BSRo/6KgWURc4s6Pc3wpgW7q5QRrZ9W97LetcVglHnvDCnGTCzqPMRYis/VZDn+ngkAbRcQdp6S2cjELDw==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:51.024182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.06925","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fa7e662d633d151194f6a7623b0d7e22b933291839ccecae876fad1d9394754","sha256:59278dfcfb8abef766b77632dca3c2eb1f1047beb51e46dd43f04543f833f1d9"],"state_sha256":"e334eaa19647852398deb1f7b984f581fce7f4a5b3e7c6f4a26e7409ccc9e9dc"}