{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:43VAMCJO4PUQJVGZMFNDG764JP","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":"a04a4596369add206b023f757a859b0c818018c276baa75ba8f3361ba99395dd","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-12T15:20:45Z","title_canon_sha256":"f10396895c13970ac2f71cfb3f44b1c8953a2325363acd469083f6a9cd03b40e"},"schema_version":"1.0","source":{"id":"2209.05487","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.05487","created_at":"2026-07-05T04:56:46Z"},{"alias_kind":"arxiv_version","alias_value":"2209.05487v1","created_at":"2026-07-05T04:56:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05487","created_at":"2026-07-05T04:56:46Z"},{"alias_kind":"pith_short_12","alias_value":"43VAMCJO4PUQ","created_at":"2026-07-05T04:56:46Z"},{"alias_kind":"pith_short_16","alias_value":"43VAMCJO4PUQJVGZ","created_at":"2026-07-05T04:56:46Z"},{"alias_kind":"pith_short_8","alias_value":"43VAMCJO","created_at":"2026-07-05T04:56:46Z"}],"graph_snapshots":[{"event_id":"sha256:9035f4db19b34a8aae94a3902f5e2919bea1e2a706cb6d8260eef8cc82a242ad","target":"graph","created_at":"2026-07-05T04:56:46Z","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/2209.05487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural networks (DNNs) are widely used in autonomous driving due to their high accuracy for perception, decision, and control. In safety-critical systems like autonomous driving, executing tasks like sensing and perception in real-time is vital to the vehicle's safety, which requires the application's execution time to be predictable. However, non-negligible time variations are observed in DNN inference. Current DNN inference studies either ignore the time variation issue or rely on the scheduler to handle it. None of the current work explains the root causes of DNN inference time variati","authors_text":"Liangkai Liu, Weisong Shi, Yanzhi Wang","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-12T15:20:45Z","title":"Understanding Time Variations of DNN Inference in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05487","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:e506093b35dd1702fc7230fb6c0bda7302f6b3a9111360135e0687b3a68db01d","target":"record","created_at":"2026-07-05T04:56:46Z","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":"a04a4596369add206b023f757a859b0c818018c276baa75ba8f3361ba99395dd","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-12T15:20:45Z","title_canon_sha256":"f10396895c13970ac2f71cfb3f44b1c8953a2325363acd469083f6a9cd03b40e"},"schema_version":"1.0","source":{"id":"2209.05487","kind":"arxiv","version":1}},"canonical_sha256":"e6ea06092ee3e904d4d9615a337fdc4bde2b487d141d03ba6b19ae8af96b7da0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6ea06092ee3e904d4d9615a337fdc4bde2b487d141d03ba6b19ae8af96b7da0","first_computed_at":"2026-07-05T04:56:46.674168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:56:46.674168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rUXDQK8uqPr51Jvo0nvOO0+SZxbeZKx4PjwgnNeAjH8Qey2MYYGHYNaXYV6fGGneCRoxXiBIMtUFfHYHxWUyAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:56:46.674589Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.05487","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e506093b35dd1702fc7230fb6c0bda7302f6b3a9111360135e0687b3a68db01d","sha256:9035f4db19b34a8aae94a3902f5e2919bea1e2a706cb6d8260eef8cc82a242ad"],"state_sha256":"6a997ed1ca13fd1930284f5d263b4375af2465d49c20c1eab98ec1498f525a69"}