{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OHMQIKOB4FCIVZYOVJ5IEBGRHN","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":"dd31f25a8bdd8d804ef099c245a0767243394077089942067acb5a35389ff06c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T19:01:41Z","title_canon_sha256":"60ae87261d3485f7d85117097d50d796fc478e3119776192a38090fd0f87acf9"},"schema_version":"1.0","source":{"id":"2110.05559","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.05559","created_at":"2026-07-05T03:22:04Z"},{"alias_kind":"arxiv_version","alias_value":"2110.05559v1","created_at":"2026-07-05T03:22:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.05559","created_at":"2026-07-05T03:22:04Z"},{"alias_kind":"pith_short_12","alias_value":"OHMQIKOB4FCI","created_at":"2026-07-05T03:22:04Z"},{"alias_kind":"pith_short_16","alias_value":"OHMQIKOB4FCIVZYO","created_at":"2026-07-05T03:22:04Z"},{"alias_kind":"pith_short_8","alias_value":"OHMQIKOB","created_at":"2026-07-05T03:22:04Z"}],"graph_snapshots":[{"event_id":"sha256:c2e39c498a2894461bd869493b2fc723ac78cd55a5ad27fe66c0111d3dd91692","target":"graph","created_at":"2026-07-05T03:22:04Z","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/2110.05559/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the last decade, deep learning (DL) approaches have been used successfully in computer vision (CV) applications. However, DL-based CV models are generally considered to be black boxes due to their lack of interpretability. This black box behavior has exacerbated user distrust and therefore has prevented widespread deployment DLCV models in autonomous driving tasks even though some of these models exhibit superiority over human performance. For this reason, it is essential to develop explainable DL models for autonomous driving task. Explainable DL models can not only boost user trust in aut","authors_text":"Jiqian Dong, Mohammad Miralinaghi, Samuel Labi, Shuya Zong, Sikai Chen, Tiantian Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T19:01:41Z","title":"Development and testing of an image transformer for explainable autonomous driving systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.05559","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":"sha256:41234054952caecfb834d783208a8d58b2c565370baba2f152c270fd7d94bec8","target":"record","created_at":"2026-07-05T03:22:04Z","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":"dd31f25a8bdd8d804ef099c245a0767243394077089942067acb5a35389ff06c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-10-11T19:01:41Z","title_canon_sha256":"60ae87261d3485f7d85117097d50d796fc478e3119776192a38090fd0f87acf9"},"schema_version":"1.0","source":{"id":"2110.05559","kind":"arxiv","version":1}},"canonical_sha256":"71d90429c1e1448ae70eaa7a8204d13b5d7ec8d7cc152751d2d56fd517b49e1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71d90429c1e1448ae70eaa7a8204d13b5d7ec8d7cc152751d2d56fd517b49e1a","first_computed_at":"2026-07-05T03:22:04.089655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:22:04.089655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/Gb8TheTCadQsgvKhniBuouMJo235939Taz+LL0DtYfVkaAR1yVwiuWQQCtHSzTa5R2at4itXw7Znd0iDdk9Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:22:04.090072Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.05559","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41234054952caecfb834d783208a8d58b2c565370baba2f152c270fd7d94bec8","sha256:c2e39c498a2894461bd869493b2fc723ac78cd55a5ad27fe66c0111d3dd91692"],"state_sha256":"9d761cb91e9953ea1c9d40000f17740c21bbcab69d5f4c237b60bd5b26aae06e"}