{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:B45M37AT7O5327R3QVRD3KPR7A","short_pith_number":"pith:B45M37AT","canonical_record":{"source":{"id":"2606.12236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T15:42:25Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c254e7bea1cc3b03f04c37d8886845b7f0d4684090bb03c2820938b6b8a65a25","abstract_canon_sha256":"965706342aa47c18ae94bf67ce7e0fe16dc49a26fbc81166fbda8d3304b64c33"},"schema_version":"1.0"},"canonical_sha256":"0f3acdfc13fbbbbd7e3b85623da9f1f80ede84a967a69e9de1ba2d91a99739d6","source":{"kind":"arxiv","id":"2606.12236","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12236","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12236v1","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12236","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"B45M37AT7O53","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_16","alias_value":"B45M37AT7O5327R3","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_8","alias_value":"B45M37AT","created_at":"2026-06-11T01:10:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:B45M37AT7O5327R3QVRD3KPR7A","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T15:42:25Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c254e7bea1cc3b03f04c37d8886845b7f0d4684090bb03c2820938b6b8a65a25","abstract_canon_sha256":"965706342aa47c18ae94bf67ce7e0fe16dc49a26fbc81166fbda8d3304b64c33"},"schema_version":"1.0"},"canonical_sha256":"0f3acdfc13fbbbbd7e3b85623da9f1f80ede84a967a69e9de1ba2d91a99739d6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:55.984269Z","signature_b64":"upxT7UVd+xaNyH3oGK4ZTFVx5ZaK1JAV67HUG6+JRXOhI5d1io3ll+/y5ysH+NvrXQTobudruyRSx8SrFpU2Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f3acdfc13fbbbbd7e3b85623da9f1f80ede84a967a69e9de1ba2d91a99739d6","last_reissued_at":"2026-06-11T01:10:55.983770Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:55.983770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12236","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-11T01:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"22mRVNqwC4t7SXldKUTR+TyelBJZu3WZ5NNR9du8JPIOS9au1TDl1z/M2+uAhYChkONtmFUeQj9Vr5ATMOl1Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T12:52:34.405722Z"},"content_sha256":"22721de002f0497acff22b354c4b34a33b4f437cd8035596351e45dc1edb715b","schema_version":"1.0","event_id":"sha256:22721de002f0497acff22b354c4b34a33b4f437cd8035596351e45dc1edb715b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:B45M37AT7O5327R3QVRD3KPR7A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Ming-Hsuan Yang, Wenhao Chen, Yongtao Wang, Zhongyu Xia","submitted_at":"2026-06-10T15:42:25Z","abstract_excerpt":"Many autonomous driving systems are increasingly incorporating foundation models to improve generalization and handle long-tail scenarios. However, this trend introduces two key challenges: (i) the manual and labor-intensive process of designing and integrating new models, and (ii) the lack of intelligent, dynamic scheduling mechanisms to meet strict real-time constraints. While Large Language Model (LLM)-based agents offer a promising avenue for automation, existing frameworks are ill-suited for autonomous driving. Specifically, they fail to distinguish between the fundamentally different req"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12236","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.12236/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-11T01:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4DBemocSc58nnE/v4YMI/13Z++UkI9Ak2oOuQuYzZk5NUR6MCQgMDPx9/X0G+63J1SPvoVGaKB73iZQ+3TH0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T12:52:34.406103Z"},"content_sha256":"6a42234ed6630a98bdc6e8e2f663c14d179c113002404a3405994db5f6598917","schema_version":"1.0","event_id":"sha256:6a42234ed6630a98bdc6e8e2f663c14d179c113002404a3405994db5f6598917"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B45M37AT7O5327R3QVRD3KPR7A/bundle.json","state_url":"https://pith.science/pith/B45M37AT7O5327R3QVRD3KPR7A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B45M37AT7O5327R3QVRD3KPR7A/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-02T12:52:34Z","links":{"resolver":"https://pith.science/pith/B45M37AT7O5327R3QVRD3KPR7A","bundle":"https://pith.science/pith/B45M37AT7O5327R3QVRD3KPR7A/bundle.json","state":"https://pith.science/pith/B45M37AT7O5327R3QVRD3KPR7A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B45M37AT7O5327R3QVRD3KPR7A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B45M37AT7O5327R3QVRD3KPR7A","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":"965706342aa47c18ae94bf67ce7e0fe16dc49a26fbc81166fbda8d3304b64c33","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T15:42:25Z","title_canon_sha256":"c254e7bea1cc3b03f04c37d8886845b7f0d4684090bb03c2820938b6b8a65a25"},"schema_version":"1.0","source":{"id":"2606.12236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12236","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12236v1","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12236","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"B45M37AT7O53","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_16","alias_value":"B45M37AT7O5327R3","created_at":"2026-06-11T01:10:55Z"},{"alias_kind":"pith_short_8","alias_value":"B45M37AT","created_at":"2026-06-11T01:10:55Z"}],"graph_snapshots":[{"event_id":"sha256:6a42234ed6630a98bdc6e8e2f663c14d179c113002404a3405994db5f6598917","target":"graph","created_at":"2026-06-11T01:10:55Z","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/2606.12236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many autonomous driving systems are increasingly incorporating foundation models to improve generalization and handle long-tail scenarios. However, this trend introduces two key challenges: (i) the manual and labor-intensive process of designing and integrating new models, and (ii) the lack of intelligent, dynamic scheduling mechanisms to meet strict real-time constraints. While Large Language Model (LLM)-based agents offer a promising avenue for automation, existing frameworks are ill-suited for autonomous driving. Specifically, they fail to distinguish between the fundamentally different req","authors_text":"Ming-Hsuan Yang, Wenhao Chen, Yongtao Wang, Zhongyu Xia","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T15:42:25Z","title":"DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12236","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":"sha256:22721de002f0497acff22b354c4b34a33b4f437cd8035596351e45dc1edb715b","target":"record","created_at":"2026-06-11T01:10:55Z","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":"965706342aa47c18ae94bf67ce7e0fe16dc49a26fbc81166fbda8d3304b64c33","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T15:42:25Z","title_canon_sha256":"c254e7bea1cc3b03f04c37d8886845b7f0d4684090bb03c2820938b6b8a65a25"},"schema_version":"1.0","source":{"id":"2606.12236","kind":"arxiv","version":1}},"canonical_sha256":"0f3acdfc13fbbbbd7e3b85623da9f1f80ede84a967a69e9de1ba2d91a99739d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f3acdfc13fbbbbd7e3b85623da9f1f80ede84a967a69e9de1ba2d91a99739d6","first_computed_at":"2026-06-11T01:10:55.983770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:55.983770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"upxT7UVd+xaNyH3oGK4ZTFVx5ZaK1JAV67HUG6+JRXOhI5d1io3ll+/y5ysH+NvrXQTobudruyRSx8SrFpU2Dw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:55.984269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22721de002f0497acff22b354c4b34a33b4f437cd8035596351e45dc1edb715b","sha256:6a42234ed6630a98bdc6e8e2f663c14d179c113002404a3405994db5f6598917"],"state_sha256":"15236cfe0768668fc4bbfb7c23ff583df9561e94398746f0b185756fb22e0624"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kn4idbpF97yvcNa9AxgjG1DDsEdw3wEarywBqQ5gP6dJ+rmNlcIG6oPBDr6BdLtjy36c6zcEUVta6k5WMJoUBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T12:52:34.408185Z","bundle_sha256":"abba445f07eb718cedf7c1610405d388fac497b05cc68983f2e36f175bd3181d"}}