{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:N6X3YISPSUXGMSK4WUGSJ624S4","short_pith_number":"pith:N6X3YISP","canonical_record":{"source":{"id":"1909.05620","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-29T20:04:35Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"dced5ab4babdccdb40b56550635019743851de5fcfac773626ed1d39146ee248","abstract_canon_sha256":"52255aa5838a4dc1990ffc12843522a199c495bd7e60806e8aa3e4f5fc70f997"},"schema_version":"1.0"},"canonical_sha256":"6fafbc224f952e66495cb50d24fb5c972d4f96b9079687fa2314db542f35b087","source":{"kind":"arxiv","id":"1909.05620","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.05620","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"arxiv_version","alias_value":"1909.05620v1","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.05620","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_12","alias_value":"N6X3YISPSUXG","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_16","alias_value":"N6X3YISPSUXGMSK4","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_8","alias_value":"N6X3YISP","created_at":"2026-07-05T00:04:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:N6X3YISPSUXGMSK4WUGSJ624S4","target":"record","payload":{"canonical_record":{"source":{"id":"1909.05620","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-29T20:04:35Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"dced5ab4babdccdb40b56550635019743851de5fcfac773626ed1d39146ee248","abstract_canon_sha256":"52255aa5838a4dc1990ffc12843522a199c495bd7e60806e8aa3e4f5fc70f997"},"schema_version":"1.0"},"canonical_sha256":"6fafbc224f952e66495cb50d24fb5c972d4f96b9079687fa2314db542f35b087","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:04:16.796002Z","signature_b64":"gumSb50oXyRAVxjF9YDHQ9+WbyhTEt9a3xkSL0EwhakK2uVxcpcnJi78q1sH+HLnN2ejxfEZCWF3fIG1is0WDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fafbc224f952e66495cb50d24fb5c972d4f96b9079687fa2314db542f35b087","last_reissued_at":"2026-07-05T00:04:16.795604Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:04:16.795604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.05620","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":"2026-07-05T00:04:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyUzZB/WQ1zRGYXkY9FgSBdRcLHZ/HMsVb+TYPmksYk5u5JslpgY6wHBRM3bjWMPPgC5uOXW09U6HLctNdi+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T07:32:15.736764Z"},"content_sha256":"d4d1bc6a94b5d184dad0e429c4e5a082b46a0e610fbb17215b5c738a72d21651","schema_version":"1.0","event_id":"sha256:d4d1bc6a94b5d184dad0e429c4e5a082b46a0e610fbb17215b5c738a72d21651"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:N6X3YISPSUXGMSK4WUGSJ624S4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Govind Rathore, Ji Eun Kim, Wan-Yi Lin","submitted_at":"2019-08-29T20:04:35Z","abstract_excerpt":"Autonomous driving requires various computer vision algorithms, such as object detection and tracking.Precisely-labeled datasets (i.e., objects are fully contained in bounding boxes with only a few extra pixels) are preferred for training such algorithms, so that the algorithms can detect exact locations of the objects. However, it is very time-consuming and hence expensive to generate precise labels for image sequences at scale. In this paper, we propose DeepBbox, an algorithm that corrects loose object labels into right bounding boxes to reduce human annotation efforts. We use Cityscapes dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.05620","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/1909.05620/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":"2026-07-05T00:04:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+U+GdNgXdz+wnYD1fcfUH+QF60C4nQTokO78Rt0x6Y2DwFlvtooVijqMEqMhWXSTqatliIPWcyejdqkfw7GeCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T07:32:15.737332Z"},"content_sha256":"673b67b6f993a998888c6dfd8823496cb2dc3525c3f98211bd02b4efb1c17a87","schema_version":"1.0","event_id":"sha256:673b67b6f993a998888c6dfd8823496cb2dc3525c3f98211bd02b4efb1c17a87"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N6X3YISPSUXGMSK4WUGSJ624S4/bundle.json","state_url":"https://pith.science/pith/N6X3YISPSUXGMSK4WUGSJ624S4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N6X3YISPSUXGMSK4WUGSJ624S4/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":"2026-08-20T07:32:15Z","links":{"resolver":"https://pith.science/pith/N6X3YISPSUXGMSK4WUGSJ624S4","bundle":"https://pith.science/pith/N6X3YISPSUXGMSK4WUGSJ624S4/bundle.json","state":"https://pith.science/pith/N6X3YISPSUXGMSK4WUGSJ624S4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N6X3YISPSUXGMSK4WUGSJ624S4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:N6X3YISPSUXGMSK4WUGSJ624S4","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":"52255aa5838a4dc1990ffc12843522a199c495bd7e60806e8aa3e4f5fc70f997","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-29T20:04:35Z","title_canon_sha256":"dced5ab4babdccdb40b56550635019743851de5fcfac773626ed1d39146ee248"},"schema_version":"1.0","source":{"id":"1909.05620","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.05620","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"arxiv_version","alias_value":"1909.05620v1","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.05620","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_12","alias_value":"N6X3YISPSUXG","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_16","alias_value":"N6X3YISPSUXGMSK4","created_at":"2026-07-05T00:04:16Z"},{"alias_kind":"pith_short_8","alias_value":"N6X3YISP","created_at":"2026-07-05T00:04:16Z"}],"graph_snapshots":[{"event_id":"sha256:673b67b6f993a998888c6dfd8823496cb2dc3525c3f98211bd02b4efb1c17a87","target":"graph","created_at":"2026-07-05T00:04:16Z","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/1909.05620/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous driving requires various computer vision algorithms, such as object detection and tracking.Precisely-labeled datasets (i.e., objects are fully contained in bounding boxes with only a few extra pixels) are preferred for training such algorithms, so that the algorithms can detect exact locations of the objects. However, it is very time-consuming and hence expensive to generate precise labels for image sequences at scale. In this paper, we propose DeepBbox, an algorithm that corrects loose object labels into right bounding boxes to reduce human annotation efforts. We use Cityscapes dat","authors_text":"Govind Rathore, Ji Eun Kim, Wan-Yi Lin","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-29T20:04:35Z","title":"DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.05620","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:d4d1bc6a94b5d184dad0e429c4e5a082b46a0e610fbb17215b5c738a72d21651","target":"record","created_at":"2026-07-05T00:04:16Z","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":"52255aa5838a4dc1990ffc12843522a199c495bd7e60806e8aa3e4f5fc70f997","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-29T20:04:35Z","title_canon_sha256":"dced5ab4babdccdb40b56550635019743851de5fcfac773626ed1d39146ee248"},"schema_version":"1.0","source":{"id":"1909.05620","kind":"arxiv","version":1}},"canonical_sha256":"6fafbc224f952e66495cb50d24fb5c972d4f96b9079687fa2314db542f35b087","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fafbc224f952e66495cb50d24fb5c972d4f96b9079687fa2314db542f35b087","first_computed_at":"2026-07-05T00:04:16.795604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:04:16.795604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gumSb50oXyRAVxjF9YDHQ9+WbyhTEt9a3xkSL0EwhakK2uVxcpcnJi78q1sH+HLnN2ejxfEZCWF3fIG1is0WDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:04:16.796002Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.05620","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4d1bc6a94b5d184dad0e429c4e5a082b46a0e610fbb17215b5c738a72d21651","sha256:673b67b6f993a998888c6dfd8823496cb2dc3525c3f98211bd02b4efb1c17a87"],"state_sha256":"1c233784f1a64fcd4692f388bbe7b3161ff2ca9baf881722bd76cf0a3eee3c4e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0WWt8qBNnTUIbqzWcW6s3sHZJNRwpEcB0QVZqJVewUJPzvOL7QB6AKzPcCNFw8C3KaRMUbWEF2AYz3UpkxU5Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T07:32:15.743583Z","bundle_sha256":"486e5f60997c7a11bdd02a83f1a3719e59805b859551ec79d6c466f8a222f00a"}}