{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GM2QWKKCR7PK3SWHGD6DJCEJ2M","short_pith_number":"pith:GM2QWKKC","canonical_record":{"source":{"id":"1905.01489","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-04T13:14:12Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","stat.ML"],"title_canon_sha256":"f8ed72bc8b8f2c44f08d3d4f6bffe5ff1b055d95a3ba16154faf595bd26364a5","abstract_canon_sha256":"cbac542a31b02cb4b8115246c362b7dd6064fe1ad986a6b0e957a76bb771bd58"},"schema_version":"1.0"},"canonical_sha256":"33350b29428fdeadcac730fc348889d323d3f80c6c85083f0bc71892af4a859c","source":{"kind":"arxiv","id":"1905.01489","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01489","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01489v3","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01489","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_12","alias_value":"GM2QWKKCR7PK","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_16","alias_value":"GM2QWKKCR7PK3SWH","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_8","alias_value":"GM2QWKKC","created_at":"2026-07-05T02:54:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GM2QWKKCR7PK3SWHGD6DJCEJ2M","target":"record","payload":{"canonical_record":{"source":{"id":"1905.01489","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-04T13:14:12Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","stat.ML"],"title_canon_sha256":"f8ed72bc8b8f2c44f08d3d4f6bffe5ff1b055d95a3ba16154faf595bd26364a5","abstract_canon_sha256":"cbac542a31b02cb4b8115246c362b7dd6064fe1ad986a6b0e957a76bb771bd58"},"schema_version":"1.0"},"canonical_sha256":"33350b29428fdeadcac730fc348889d323d3f80c6c85083f0bc71892af4a859c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:54:38.463602Z","signature_b64":"o9WxteBK7nYpert0ByAWDzQfA7bEPu3uTmu2Dqe77+7OMVbmzil7/oQaRswjluaSn0JsU/GfI+VMezCQ84iODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33350b29428fdeadcac730fc348889d323d3f80c6c85083f0bc71892af4a859c","last_reissued_at":"2026-07-05T02:54:38.463149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:54:38.463149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.01489","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:54:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8O4Ue2Ugsv3fjZxQ7beSiBZI2KHN3JpvvuYjws6d+JbPNSE7u0R/YZUUxl5L0I68Po8DIqjeh1iJIvtVQGWwAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:48:06.819217Z"},"content_sha256":"5447995fd2aa9e782d45e980a13333299aa5d1074b78d368ab4536fff6e984a4","schema_version":"1.0","event_id":"sha256:5447995fd2aa9e782d45e980a13333299aa5d1074b78d368ab4536fff6e984a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GM2QWKKCR7PK3SWHGD6DJCEJ2M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO","stat.ML"],"primary_cat":"cs.CV","authors_text":"Christian Witt, Ciaran Hughes, Derek O'Dea, Ganesh Sistu, Hazem Rashed, Jonathan Horgan, Karl Amende, Martin Simon, Michal Uricar, Padraig Varley, Patrick Perez, Sanjaya Nayak, Saquib Mansoor, Senthil Yogamani, Stefan Milz, Sumanth Chennupati, Xavier Perroton","submitted_at":"2019-05-04T13:14:12Z","abstract_excerpt":"Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images. We release the first extensive fisheye automotive dataset, WoodScape, named after Robert Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling detection. Semantic annotation of 4"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01489","kind":"arxiv","version":3},"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/1905.01489/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":"2026-07-05T02:54:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GcjOKpMTZebMDKnl9500ouojtu3P4oF7/1APSyVB004cKESNN6x4OLQqEsJ6zK+vzu4xM3fgM6YoHvge77ZiBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:48:06.819761Z"},"content_sha256":"dac934ed91e82d62df069be59441fe53d1e7f072f92434ee6710236f3136d5c1","schema_version":"1.0","event_id":"sha256:dac934ed91e82d62df069be59441fe53d1e7f072f92434ee6710236f3136d5c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/bundle.json","state_url":"https://pith.science/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/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":"2026-08-06T02:48:06Z","links":{"resolver":"https://pith.science/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M","bundle":"https://pith.science/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/bundle.json","state":"https://pith.science/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GM2QWKKCR7PK3SWHGD6DJCEJ2M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GM2QWKKCR7PK3SWHGD6DJCEJ2M","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":"cbac542a31b02cb4b8115246c362b7dd6064fe1ad986a6b0e957a76bb771bd58","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-04T13:14:12Z","title_canon_sha256":"f8ed72bc8b8f2c44f08d3d4f6bffe5ff1b055d95a3ba16154faf595bd26364a5"},"schema_version":"1.0","source":{"id":"1905.01489","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01489","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01489v3","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01489","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_12","alias_value":"GM2QWKKCR7PK","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_16","alias_value":"GM2QWKKCR7PK3SWH","created_at":"2026-07-05T02:54:38Z"},{"alias_kind":"pith_short_8","alias_value":"GM2QWKKC","created_at":"2026-07-05T02:54:38Z"}],"graph_snapshots":[{"event_id":"sha256:dac934ed91e82d62df069be59441fe53d1e7f072f92434ee6710236f3136d5c1","target":"graph","created_at":"2026-07-05T02:54:38Z","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/1905.01489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images. We release the first extensive fisheye automotive dataset, WoodScape, named after Robert Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling detection. Semantic annotation of 4","authors_text":"Christian Witt, Ciaran Hughes, Derek O'Dea, Ganesh Sistu, Hazem Rashed, Jonathan Horgan, Karl Amende, Martin Simon, Michal Uricar, Padraig Varley, Patrick Perez, Sanjaya Nayak, Saquib Mansoor, Senthil Yogamani, Stefan Milz, Sumanth Chennupati, Xavier Perroton","cross_cats":["cs.AI","cs.LG","cs.RO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-04T13:14:12Z","title":"WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01489","kind":"arxiv","version":3},"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":"sha256:5447995fd2aa9e782d45e980a13333299aa5d1074b78d368ab4536fff6e984a4","target":"record","created_at":"2026-07-05T02:54:38Z","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":"cbac542a31b02cb4b8115246c362b7dd6064fe1ad986a6b0e957a76bb771bd58","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-04T13:14:12Z","title_canon_sha256":"f8ed72bc8b8f2c44f08d3d4f6bffe5ff1b055d95a3ba16154faf595bd26364a5"},"schema_version":"1.0","source":{"id":"1905.01489","kind":"arxiv","version":3}},"canonical_sha256":"33350b29428fdeadcac730fc348889d323d3f80c6c85083f0bc71892af4a859c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33350b29428fdeadcac730fc348889d323d3f80c6c85083f0bc71892af4a859c","first_computed_at":"2026-07-05T02:54:38.463149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:54:38.463149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o9WxteBK7nYpert0ByAWDzQfA7bEPu3uTmu2Dqe77+7OMVbmzil7/oQaRswjluaSn0JsU/GfI+VMezCQ84iODg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:54:38.463602Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.01489","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5447995fd2aa9e782d45e980a13333299aa5d1074b78d368ab4536fff6e984a4","sha256:dac934ed91e82d62df069be59441fe53d1e7f072f92434ee6710236f3136d5c1"],"state_sha256":"d407f43f1c35a9e79a760bd5af2f225022a09a45fe4d25ffe34005b6ec8e979b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BDLhbSk2pSqeESg5P4pV1mkUYwm9PzMbdpwEQx3TZKI0D6OD98q0FRM9eXyuD65Bt8ERaC/isJ8fvFn44I9TCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:48:06.824669Z","bundle_sha256":"3dcae6174ae56b7163eb3a6f2379254d19357f58ff5447050d5a824910a8b16d"}}