{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:4SEL5UJPZJMZGVKAGMDJ5GB54B","short_pith_number":"pith:4SEL5UJP","canonical_record":{"source":{"id":"1810.00434","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-30T17:59:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"80484ec73fb19755f03606a19a6c60019c437bd5f5a753aac17cbff16a9b2594","abstract_canon_sha256":"c15fba03705e210669e30092b7b6f919fee066d6194ca56cb89f1c6884fc069f"},"schema_version":"1.0"},"canonical_sha256":"e488bed12fca5993554033069e983de0762ace150817934adf2f3ab8b91797f6","source":{"kind":"arxiv","id":"1810.00434","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.00434","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"arxiv_version","alias_value":"1810.00434v2","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.00434","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"pith_short_12","alias_value":"4SEL5UJPZJMZ","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"4SEL5UJPZJMZGVKA","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"4SEL5UJP","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:4SEL5UJPZJMZGVKAGMDJ5GB54B","target":"record","payload":{"canonical_record":{"source":{"id":"1810.00434","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-30T17:59:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"80484ec73fb19755f03606a19a6c60019c437bd5f5a753aac17cbff16a9b2594","abstract_canon_sha256":"c15fba03705e210669e30092b7b6f919fee066d6194ca56cb89f1c6884fc069f"},"schema_version":"1.0"},"canonical_sha256":"e488bed12fca5993554033069e983de0762ace150817934adf2f3ab8b91797f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:41.935483Z","signature_b64":"edvHG6lgQezYmBIgxzSfoekohhuva4yCQU98PDzRPwiOGK5f8TLNCDW9RdcolKZtI0pgHz/c0uPAZ9Km+9rLDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e488bed12fca5993554033069e983de0762ace150817934adf2f3ab8b91797f6","last_reissued_at":"2026-05-17T23:53:41.934882Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:41.934882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.00434","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:53:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B9w1eOXxHKH6IrtlA7A0ZWClNfnuMc4GBDtT4U4qcBa7E0OvopzxT4WdlfwcttbUtq9/Si4ZH2sDMe2sn11yBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:45:38.256282Z"},"content_sha256":"67b7439e0e2b992d7c8c36978647f2367fd8259b1cb1f7adae8bdf98e73b4d59","schema_version":"1.0","event_id":"sha256:67b7439e0e2b992d7c8c36978647f2367fd8259b1cb1f7adae8bdf98e73b4d59"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:4SEL5UJPZJMZGVKAGMDJ5GB54B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Huizi Mao, Taeyoung Kong, William J. Dally","submitted_at":"2018-09-30T17:59:42Z","abstract_excerpt":"Detecting objects in a video is a compute-intensive task. In this paper we propose CaTDet, a system to speedup object detection by leveraging the temporal correlation in video. CaTDet consists of two DNN models that form a cascaded detector, and an additional tracker to predict regions of interests based on historic detections. We also propose a new metric, mean Delay(mD), which is designed for latency-critical video applications. Experiments on the KITTI dataset show that CaTDet reduces operation count by 5.1-8.7x with the same mean Average Precision(mAP) as the single-model Faster R-CNN dete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.00434","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:53:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ePUsE0R3BYMiDnFpl9zM+YKKfUfse8fSvWXknModV8o94+p821Ivlh65f3HRosFE6lhScV73ItT7gPZytkuiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:45:38.257000Z"},"content_sha256":"39b01f96eecac0835cd2c0a5c314415ec7198728aa83a114ba3351a304fb9b9e","schema_version":"1.0","event_id":"sha256:39b01f96eecac0835cd2c0a5c314415ec7198728aa83a114ba3351a304fb9b9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/bundle.json","state_url":"https://pith.science/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/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":"2026-06-06T08:45:38Z","links":{"resolver":"https://pith.science/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B","bundle":"https://pith.science/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/bundle.json","state":"https://pith.science/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4SEL5UJPZJMZGVKAGMDJ5GB54B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:4SEL5UJPZJMZGVKAGMDJ5GB54B","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":"c15fba03705e210669e30092b7b6f919fee066d6194ca56cb89f1c6884fc069f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-30T17:59:42Z","title_canon_sha256":"80484ec73fb19755f03606a19a6c60019c437bd5f5a753aac17cbff16a9b2594"},"schema_version":"1.0","source":{"id":"1810.00434","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.00434","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"arxiv_version","alias_value":"1810.00434v2","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.00434","created_at":"2026-05-17T23:53:41Z"},{"alias_kind":"pith_short_12","alias_value":"4SEL5UJPZJMZ","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"4SEL5UJPZJMZGVKA","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"4SEL5UJP","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:39b01f96eecac0835cd2c0a5c314415ec7198728aa83a114ba3351a304fb9b9e","target":"graph","created_at":"2026-05-17T23:53:41Z","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"},"paper":{"abstract_excerpt":"Detecting objects in a video is a compute-intensive task. In this paper we propose CaTDet, a system to speedup object detection by leveraging the temporal correlation in video. CaTDet consists of two DNN models that form a cascaded detector, and an additional tracker to predict regions of interests based on historic detections. We also propose a new metric, mean Delay(mD), which is designed for latency-critical video applications. Experiments on the KITTI dataset show that CaTDet reduces operation count by 5.1-8.7x with the same mean Average Precision(mAP) as the single-model Faster R-CNN dete","authors_text":"Huizi Mao, Taeyoung Kong, William J. Dally","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-30T17:59:42Z","title":"CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.00434","kind":"arxiv","version":2},"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":"sha256:67b7439e0e2b992d7c8c36978647f2367fd8259b1cb1f7adae8bdf98e73b4d59","target":"record","created_at":"2026-05-17T23:53:41Z","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":"c15fba03705e210669e30092b7b6f919fee066d6194ca56cb89f1c6884fc069f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-30T17:59:42Z","title_canon_sha256":"80484ec73fb19755f03606a19a6c60019c437bd5f5a753aac17cbff16a9b2594"},"schema_version":"1.0","source":{"id":"1810.00434","kind":"arxiv","version":2}},"canonical_sha256":"e488bed12fca5993554033069e983de0762ace150817934adf2f3ab8b91797f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e488bed12fca5993554033069e983de0762ace150817934adf2f3ab8b91797f6","first_computed_at":"2026-05-17T23:53:41.934882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:41.934882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"edvHG6lgQezYmBIgxzSfoekohhuva4yCQU98PDzRPwiOGK5f8TLNCDW9RdcolKZtI0pgHz/c0uPAZ9Km+9rLDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:41.935483Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.00434","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67b7439e0e2b992d7c8c36978647f2367fd8259b1cb1f7adae8bdf98e73b4d59","sha256:39b01f96eecac0835cd2c0a5c314415ec7198728aa83a114ba3351a304fb9b9e"],"state_sha256":"c7a876384b4c592dc05dd06cf8acb931c84455c97b02549b83de2e3d252ae1ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X71PndbYcKrL1x1oR1lHKBqRyTdr9iaYXFKf8x8xC+aFdmlbVT+UUTCFyM9wIKQXQzUp9J3JMyauvb5isf9KBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T08:45:38.260507Z","bundle_sha256":"1416994c3058cf1b8fc8902f4d6f4386a069b1fea974e05e593888f6efae7967"}}