{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GCYYXE2ALPBJ4LYWNKCQPG2UBH","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":"de2426251f83a24a69f03799bcc50ed19682bae949aa1a08afdab87d05682884","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-01-02T03:38:46Z","title_canon_sha256":"a4b2129593c930a53eec58a7f7ef7968e13c74bc5105d58dcf9026519316f369"},"schema_version":"1.0","source":{"id":"2501.01037","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01037","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01037v1","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01037","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_12","alias_value":"GCYYXE2ALPBJ","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_16","alias_value":"GCYYXE2ALPBJ4LYW","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_8","alias_value":"GCYYXE2A","created_at":"2026-07-05T09:56:13Z"}],"graph_snapshots":[{"event_id":"sha256:231a96fb060289f950a7b9452428559b261bd170de4f5140d9b3ef2113c2159a","target":"graph","created_at":"2026-07-05T09:56:13Z","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/2501.01037/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-sensor fusion models play a crucial role in autonomous driving perception, particularly in tasks like 3D object detection and HD map construction. These models provide essential and comprehensive static environmental information for autonomous driving systems. While camera-LiDAR fusion methods have shown promising results by integrating data from both modalities, they often depend on complete sensor inputs. This reliance can lead to low robustness and potential failures when sensors are corrupted or missing, raising significant safety concerns. To tackle this challenge, we introduce the ","authors_text":"Guanqun Liu, Haimei Zhao, Lingdong Kong, Mengchuan Wei, Rong Yin, Xiaoshuai Hao, Yuheng Ji, Yu Liu, Yuting Zhao","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-01-02T03:38:46Z","title":"MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01037","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":"sha256:08f74991ade771c219903a4f200a7013ac3ae98c8434533b4c131ae9969bbd29","target":"record","created_at":"2026-07-05T09:56:13Z","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":"de2426251f83a24a69f03799bcc50ed19682bae949aa1a08afdab87d05682884","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-01-02T03:38:46Z","title_canon_sha256":"a4b2129593c930a53eec58a7f7ef7968e13c74bc5105d58dcf9026519316f369"},"schema_version":"1.0","source":{"id":"2501.01037","kind":"arxiv","version":1}},"canonical_sha256":"30b18b93405bc29e2f166a85079b5409dbbb221e6a1064ff40adb7aefeb4cb3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30b18b93405bc29e2f166a85079b5409dbbb221e6a1064ff40adb7aefeb4cb3b","first_computed_at":"2026-07-05T09:56:13.380071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:13.380071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tIB+xcgMLbXvyjNzzU4VQLq65TADXDhaHjA8dep3VYDKLrqsxnft9duCqG3xtVhEcBD1SOZawvqL5xUeOgInCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:13.380492Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01037","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08f74991ade771c219903a4f200a7013ac3ae98c8434533b4c131ae9969bbd29","sha256:231a96fb060289f950a7b9452428559b261bd170de4f5140d9b3ef2113c2159a"],"state_sha256":"80de70efd16ce2bdab09d37dcb6f155f4514343e4840072ba94e8ce73793b9b4"}