{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4SDDG5YOP5NWKMZTEW6A3UEDVC","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":"d21506b5a2181f55a100d9266fa6002558a31006da77163464cf82455849e202","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T14:18:01Z","title_canon_sha256":"9012ff0065fe81dc2a164f505f7b57cb8334234fe364154f7b29748974e6e788"},"schema_version":"1.0","source":{"id":"2606.20274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20274","created_at":"2026-06-19T16:13:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20274v1","created_at":"2026-06-19T16:13:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20274","created_at":"2026-06-19T16:13:07Z"},{"alias_kind":"pith_short_12","alias_value":"4SDDG5YOP5NW","created_at":"2026-06-19T16:13:07Z"},{"alias_kind":"pith_short_16","alias_value":"4SDDG5YOP5NWKMZT","created_at":"2026-06-19T16:13:07Z"},{"alias_kind":"pith_short_8","alias_value":"4SDDG5YO","created_at":"2026-06-19T16:13:07Z"}],"graph_snapshots":[{"event_id":"sha256:0e8d793dcaab0423132ce2a9065267702a5b093501072be6e1fc53c3402fdc1f","target":"graph","created_at":"2026-06-19T16:13:07Z","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/2606.20274/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scaling end-to-end autonomous driving to complex, open-world environments requires perceptual models that generalize to anomalous scenarios and planners that produce kinematically valid trajectories. Existing paradigms face a distinct dichotomy between representational efficiency and generalization capacity. Dense models (e.g., occupancy networks), while geometrically robust, incur critical computational bottlenecks and struggle with high-level semantic reasoning. Conversely, sparse, query-based planners are efficient but reliant on closed-set definitions, rendering them vulnerable to out-of-d","authors_text":"Hongxi Li, Mingyu Li, Shihao Ji, Zihui Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T14:18:01Z","title":"Lagrange: An Open-Vocabulary, Energy-Based Sparse Framework for Generalized End-to-End Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20274","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:e9c075d397dc89e5b873c4361a688714451f7dafa2c7fc4157840817954b7472","target":"record","created_at":"2026-06-19T16:13:07Z","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":"d21506b5a2181f55a100d9266fa6002558a31006da77163464cf82455849e202","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T14:18:01Z","title_canon_sha256":"9012ff0065fe81dc2a164f505f7b57cb8334234fe364154f7b29748974e6e788"},"schema_version":"1.0","source":{"id":"2606.20274","kind":"arxiv","version":1}},"canonical_sha256":"e48633770e7f5b65333325bc0dd083a8a974c12068d11895ec8b4214ea246411","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e48633770e7f5b65333325bc0dd083a8a974c12068d11895ec8b4214ea246411","first_computed_at":"2026-06-19T16:13:07.501898Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:07.501898Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y2MQnLAY/wt0dKsZNf8xoREGU2cGAWNwygKpY5VmzZwUaTmgCvn3/SyDcmj8l4d3/w318d8UWACN7QsIDEDiCg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:07.502240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9c075d397dc89e5b873c4361a688714451f7dafa2c7fc4157840817954b7472","sha256:0e8d793dcaab0423132ce2a9065267702a5b093501072be6e1fc53c3402fdc1f"],"state_sha256":"e5a9c4920fb7f58e5694a628a9e92ac2707972a926cd578667029c76748d011d"}