{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CCKO7BXKFH63GWK2FVY3REXZYW","short_pith_number":"pith:CCKO7BXK","canonical_record":{"source":{"id":"2210.06006","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-12T08:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"3e810091c366117e86ef310b9c7186bcdb5747043bb91c3b6b4c305526195fc5","abstract_canon_sha256":"76a2b090f4452ed53ade6dc2232e5401c385483110e5fe6ee5642390dc3e3b40"},"schema_version":"1.0"},"canonical_sha256":"1094ef86ea29fdb3595a2d71b892f9c5928e95804129b08f6d3f3f41bdc42caa","source":{"kind":"arxiv","id":"2210.06006","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06006","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06006v3","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06006","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"CCKO7BXKFH63","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"CCKO7BXKFH63GWK2","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"CCKO7BXK","created_at":"2026-07-05T05:50:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CCKO7BXKFH63GWK2FVY3REXZYW","target":"record","payload":{"canonical_record":{"source":{"id":"2210.06006","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-12T08:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"3e810091c366117e86ef310b9c7186bcdb5747043bb91c3b6b4c305526195fc5","abstract_canon_sha256":"76a2b090f4452ed53ade6dc2232e5401c385483110e5fe6ee5642390dc3e3b40"},"schema_version":"1.0"},"canonical_sha256":"1094ef86ea29fdb3595a2d71b892f9c5928e95804129b08f6d3f3f41bdc42caa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:09.463348Z","signature_b64":"qHNLjTn4Z/56s8tq4cuYvK6aCQWDPFiGsMfmN2MLEz1Z+Cmk4njD+L7iofE5rSLkCW7MlDEsiWYP09Y31775Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1094ef86ea29fdb3595a2d71b892f9c5928e95804129b08f6d3f3f41bdc42caa","last_reissued_at":"2026-07-05T05:50:09.462822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:09.462822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.06006","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":"2026-07-05T05:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZMn36de9naewDbM1SIgHEk9JZY3UhB8C0ez/9fv7op5uE789o6p6h4Egm6YsKFGPS4FJfj0rWcZiT1lmCEKrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:21:51.685234Z"},"content_sha256":"45ab9e3c0e75b415747c3040ae5c03411a28891180cae7ca4bfbbe4e429687f9","schema_version":"1.0","event_id":"sha256:45ab9e3c0e75b415747c3040ae5c03411a28891180cae7ca4bfbbe4e429687f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CCKO7BXKFH63GWK2FVY3REXZYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dong Cao, Jian Qin, Jintao Xu, Kaiying Li, Ruihao Wang, Yaochen Li","submitted_at":"2022-10-12T08:22:21Z","abstract_excerpt":"3D lane detection which plays a crucial role in vehicle routing, has recently been a rapidly developing topic in autonomous driving. Previous works struggle with practicality due to their complicated spatial transformations and inflexible representations of 3D lanes. Faced with the issues, our work proposes an efficient and robust monocular 3D lane detection called BEV-LaneDet with three main contributions. First, we introduce the Virtual Camera that unifies the in/extrinsic parameters of cameras mounted on different vehicles to guarantee the consistency of the spatial relationship among camer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06006","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/2210.06006/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":"2026-07-05T05:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dZndSHplHKByRGjsmYSNzYbCPH/XkOQAPfZQYzyC1jGkIO1/BANdCAZRiRQJQ2oAwSfV/fr63JYoYYRww2orCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:21:51.686122Z"},"content_sha256":"ffe17ac1956eb5c5a28d5afa61f0a702b101bd8d63bc552f1fcb43d5b967bfba","schema_version":"1.0","event_id":"sha256:ffe17ac1956eb5c5a28d5afa61f0a702b101bd8d63bc552f1fcb43d5b967bfba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CCKO7BXKFH63GWK2FVY3REXZYW/bundle.json","state_url":"https://pith.science/pith/CCKO7BXKFH63GWK2FVY3REXZYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CCKO7BXKFH63GWK2FVY3REXZYW/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":"2026-08-12T06:21:51Z","links":{"resolver":"https://pith.science/pith/CCKO7BXKFH63GWK2FVY3REXZYW","bundle":"https://pith.science/pith/CCKO7BXKFH63GWK2FVY3REXZYW/bundle.json","state":"https://pith.science/pith/CCKO7BXKFH63GWK2FVY3REXZYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CCKO7BXKFH63GWK2FVY3REXZYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CCKO7BXKFH63GWK2FVY3REXZYW","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":"76a2b090f4452ed53ade6dc2232e5401c385483110e5fe6ee5642390dc3e3b40","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-12T08:22:21Z","title_canon_sha256":"3e810091c366117e86ef310b9c7186bcdb5747043bb91c3b6b4c305526195fc5"},"schema_version":"1.0","source":{"id":"2210.06006","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06006","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06006v3","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06006","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"CCKO7BXKFH63","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"CCKO7BXKFH63GWK2","created_at":"2026-07-05T05:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"CCKO7BXK","created_at":"2026-07-05T05:50:09Z"}],"graph_snapshots":[{"event_id":"sha256:ffe17ac1956eb5c5a28d5afa61f0a702b101bd8d63bc552f1fcb43d5b967bfba","target":"graph","created_at":"2026-07-05T05:50:09Z","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/2210.06006/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D lane detection which plays a crucial role in vehicle routing, has recently been a rapidly developing topic in autonomous driving. Previous works struggle with practicality due to their complicated spatial transformations and inflexible representations of 3D lanes. Faced with the issues, our work proposes an efficient and robust monocular 3D lane detection called BEV-LaneDet with three main contributions. First, we introduce the Virtual Camera that unifies the in/extrinsic parameters of cameras mounted on different vehicles to guarantee the consistency of the spatial relationship among camer","authors_text":"Dong Cao, Jian Qin, Jintao Xu, Kaiying Li, Ruihao Wang, Yaochen Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-12T08:22:21Z","title":"BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06006","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":"sha256:45ab9e3c0e75b415747c3040ae5c03411a28891180cae7ca4bfbbe4e429687f9","target":"record","created_at":"2026-07-05T05:50:09Z","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":"76a2b090f4452ed53ade6dc2232e5401c385483110e5fe6ee5642390dc3e3b40","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-12T08:22:21Z","title_canon_sha256":"3e810091c366117e86ef310b9c7186bcdb5747043bb91c3b6b4c305526195fc5"},"schema_version":"1.0","source":{"id":"2210.06006","kind":"arxiv","version":3}},"canonical_sha256":"1094ef86ea29fdb3595a2d71b892f9c5928e95804129b08f6d3f3f41bdc42caa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1094ef86ea29fdb3595a2d71b892f9c5928e95804129b08f6d3f3f41bdc42caa","first_computed_at":"2026-07-05T05:50:09.462822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:09.462822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qHNLjTn4Z/56s8tq4cuYvK6aCQWDPFiGsMfmN2MLEz1Z+Cmk4njD+L7iofE5rSLkCW7MlDEsiWYP09Y31775Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:09.463348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.06006","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45ab9e3c0e75b415747c3040ae5c03411a28891180cae7ca4bfbbe4e429687f9","sha256:ffe17ac1956eb5c5a28d5afa61f0a702b101bd8d63bc552f1fcb43d5b967bfba"],"state_sha256":"2d18b21fb91b9237c68e882065dc95e9474b7ad6f6a41586dada25f82c1f5e55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DTvlUbEfYzzkpWp9o3nA2knk0lX2TQtpBRoQSGrPdMqEvsthKujyxz7JlhDZPbOSZAeRDuB2kTYZG0xb2j+5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T06:21:51.693917Z","bundle_sha256":"df2c8113eb55155bc1d5ce8b39bc0a4742dcdb95b3501d581f667f3d45dd485f"}}