{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KFV3U75V5H7333VC2B6YR2EQIX","short_pith_number":"pith:KFV3U75V","canonical_record":{"source":{"id":"2401.01370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-28T00:38:10Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"37ba64f687038294eab797a769d01fc4b360d17e7c0ce76f472373cdc47539fa","abstract_canon_sha256":"53d6e58cfcf83ddfda0607379d65cecdb0d0ccc57876b4727e71d08536def8ed"},"schema_version":"1.0"},"canonical_sha256":"516bba7fb5e9ffbdeea2d07d88e89045c9f35907b9155555f9f4cd3a48047657","source":{"kind":"arxiv","id":"2401.01370","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01370","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01370v1","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01370","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_12","alias_value":"KFV3U75V5H73","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_16","alias_value":"KFV3U75V5H7333VC","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_8","alias_value":"KFV3U75V","created_at":"2026-07-05T07:29:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KFV3U75V5H7333VC2B6YR2EQIX","target":"record","payload":{"canonical_record":{"source":{"id":"2401.01370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-28T00:38:10Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"37ba64f687038294eab797a769d01fc4b360d17e7c0ce76f472373cdc47539fa","abstract_canon_sha256":"53d6e58cfcf83ddfda0607379d65cecdb0d0ccc57876b4727e71d08536def8ed"},"schema_version":"1.0"},"canonical_sha256":"516bba7fb5e9ffbdeea2d07d88e89045c9f35907b9155555f9f4cd3a48047657","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:29:42.071745Z","signature_b64":"9RGpeHhxK1vg0mqI6Fm/qmaoC7NwMNpoJ5Q/6Vf1s16WxOQ2fvWEHVR8itcPkCNtPSf8P6CFHJ0xNfUH0fLqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"516bba7fb5e9ffbdeea2d07d88e89045c9f35907b9155555f9f4cd3a48047657","last_reissued_at":"2026-07-05T07:29:42.071290Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:29:42.071290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.01370","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":"2026-07-05T07:29:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"52hp/jwXnHsd3CfSFqCqdgVFrCfQ3x8DqoxMrqCl27PUYc2d2pW8/t7gIDMlyzLDLPRBRNWXZAJ5HLop5ezUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:25:02.743203Z"},"content_sha256":"a3036f0093dc7ba8dfb417bf8e7ae5e315ee7853d29c46c5a17f4c4c17ea20d5","schema_version":"1.0","event_id":"sha256:a3036f0093dc7ba8dfb417bf8e7ae5e315ee7853d29c46c5a17f4c4c17ea20d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KFV3U75V5H7333VC2B6YR2EQIX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"cs.CV","authors_text":"Donghyeon Kim, Hankyul Baek, Joongheon Kim","submitted_at":"2023-12-28T00:38:10Z","abstract_excerpt":"Spurred by consistent advances and innovation in deep learning, object detection applications have become prevalent, particularly in autonomous driving that leverages various visual data. As convolutional neural networks (CNNs) are being optimized, the performances and computation speeds of object detection in autonomous driving have been significantly improved. However, due to the exponentially rapid growth in the complexity and scale of data used in object detection, there are limitations in terms of computation speeds while conducting object detection solely with classical computing. Motiva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01370","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/2401.01370/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":"2026-07-05T07:29:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uh70RCb+gssMXzfyUzC3RJn7c+iDuN9L4o5frk3Pmir91e8AOWVamFWxByZOYK79vSJxokBJP6Iqp+epmhcPDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:25:02.743601Z"},"content_sha256":"c6ce7786e29e3879022ee0b511f0aae412b6e24a9afb7dc0da41c4c9ed33243d","schema_version":"1.0","event_id":"sha256:c6ce7786e29e3879022ee0b511f0aae412b6e24a9afb7dc0da41c4c9ed33243d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KFV3U75V5H7333VC2B6YR2EQIX/bundle.json","state_url":"https://pith.science/pith/KFV3U75V5H7333VC2B6YR2EQIX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KFV3U75V5H7333VC2B6YR2EQIX/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":"2026-07-07T15:25:02Z","links":{"resolver":"https://pith.science/pith/KFV3U75V5H7333VC2B6YR2EQIX","bundle":"https://pith.science/pith/KFV3U75V5H7333VC2B6YR2EQIX/bundle.json","state":"https://pith.science/pith/KFV3U75V5H7333VC2B6YR2EQIX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KFV3U75V5H7333VC2B6YR2EQIX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KFV3U75V5H7333VC2B6YR2EQIX","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":"53d6e58cfcf83ddfda0607379d65cecdb0d0ccc57876b4727e71d08536def8ed","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-28T00:38:10Z","title_canon_sha256":"37ba64f687038294eab797a769d01fc4b360d17e7c0ce76f472373cdc47539fa"},"schema_version":"1.0","source":{"id":"2401.01370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01370","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01370v1","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01370","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_12","alias_value":"KFV3U75V5H73","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_16","alias_value":"KFV3U75V5H7333VC","created_at":"2026-07-05T07:29:42Z"},{"alias_kind":"pith_short_8","alias_value":"KFV3U75V","created_at":"2026-07-05T07:29:42Z"}],"graph_snapshots":[{"event_id":"sha256:c6ce7786e29e3879022ee0b511f0aae412b6e24a9afb7dc0da41c4c9ed33243d","target":"graph","created_at":"2026-07-05T07:29:42Z","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/2401.01370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spurred by consistent advances and innovation in deep learning, object detection applications have become prevalent, particularly in autonomous driving that leverages various visual data. As convolutional neural networks (CNNs) are being optimized, the performances and computation speeds of object detection in autonomous driving have been significantly improved. However, due to the exponentially rapid growth in the complexity and scale of data used in object detection, there are limitations in terms of computation speeds while conducting object detection solely with classical computing. Motiva","authors_text":"Donghyeon Kim, Hankyul Baek, Joongheon Kim","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-28T00:38:10Z","title":"Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01370","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:a3036f0093dc7ba8dfb417bf8e7ae5e315ee7853d29c46c5a17f4c4c17ea20d5","target":"record","created_at":"2026-07-05T07:29:42Z","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":"53d6e58cfcf83ddfda0607379d65cecdb0d0ccc57876b4727e71d08536def8ed","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-28T00:38:10Z","title_canon_sha256":"37ba64f687038294eab797a769d01fc4b360d17e7c0ce76f472373cdc47539fa"},"schema_version":"1.0","source":{"id":"2401.01370","kind":"arxiv","version":1}},"canonical_sha256":"516bba7fb5e9ffbdeea2d07d88e89045c9f35907b9155555f9f4cd3a48047657","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"516bba7fb5e9ffbdeea2d07d88e89045c9f35907b9155555f9f4cd3a48047657","first_computed_at":"2026-07-05T07:29:42.071290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:29:42.071290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9RGpeHhxK1vg0mqI6Fm/qmaoC7NwMNpoJ5Q/6Vf1s16WxOQ2fvWEHVR8itcPkCNtPSf8P6CFHJ0xNfUH0fLqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:29:42.071745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.01370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3036f0093dc7ba8dfb417bf8e7ae5e315ee7853d29c46c5a17f4c4c17ea20d5","sha256:c6ce7786e29e3879022ee0b511f0aae412b6e24a9afb7dc0da41c4c9ed33243d"],"state_sha256":"37410a7945c21ba9af4c66e44c0975789a4d56f9a71c100b3de62a2e22a97291"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+xqvdQ3p0N4/y/n5l6lTJum49g0BYr4+z6pPRvHTByx92MGUcxJKrhzW7NSxjGkZb7Ywc3M7Y3DrY2yh3XtUAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:25:02.745536Z","bundle_sha256":"dbacc7ac8aaf7cf780c43f5c4bc79c40994a6b4832c56650512a43b0ff290b68"}}