{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4DVFO7R6TJ7ZXEPEYZEXXYBVVW","short_pith_number":"pith:4DVFO7R6","canonical_record":{"source":{"id":"1907.01294","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T10:54:06Z","cross_cats_sorted":[],"title_canon_sha256":"ae7a1d0f3addd00f8c3e59a6706f663987b208b0742b232bcbfb5d6ea46afcd1","abstract_canon_sha256":"704e6d9ce62e01816786fd77ee2cc4b70417ff0cfae99159730655c168d58a63"},"schema_version":"1.0"},"canonical_sha256":"e0ea577e3e9a7f9b91e4c6497be035ad8b1ffbad0f7957e9b528ae085175a883","source":{"kind":"arxiv","id":"1907.01294","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.01294","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"arxiv_version","alias_value":"1907.01294v2","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01294","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"pith_short_12","alias_value":"4DVFO7R6TJ7Z","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4DVFO7R6TJ7ZXEPE","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4DVFO7R6","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4DVFO7R6TJ7ZXEPEYZEXXYBVVW","target":"record","payload":{"canonical_record":{"source":{"id":"1907.01294","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T10:54:06Z","cross_cats_sorted":[],"title_canon_sha256":"ae7a1d0f3addd00f8c3e59a6706f663987b208b0742b232bcbfb5d6ea46afcd1","abstract_canon_sha256":"704e6d9ce62e01816786fd77ee2cc4b70417ff0cfae99159730655c168d58a63"},"schema_version":"1.0"},"canonical_sha256":"e0ea577e3e9a7f9b91e4c6497be035ad8b1ffbad0f7957e9b528ae085175a883","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:17.041104Z","signature_b64":"YChMlqpmsXcZZMvGinb+4Yem1bM/FmnyirvPPYXFsEniQe1CcLz1aagYYjM+PwiHnH81eqBGhP9ikhNsCohEDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0ea577e3e9a7f9b91e4c6497be035ad8b1ffbad0f7957e9b528ae085175a883","last_reissued_at":"2026-05-17T23:40:17.040333Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:17.040333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.01294","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":"2026-05-17T23:40:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vPvav+R0P+6a6BiYGlYKLYW+2uUPac6qhJlV/nRNQ9ziwScLbO3CACxhCOW1N9pyu8AEtchv2whlzOYQ1aTqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:50:02.315648Z"},"content_sha256":"5729c7d07b96c36fe7103c27c74bb085015b2af3f413bca8ecbd48fc71becf31","schema_version":"1.0","event_id":"sha256:5729c7d07b96c36fe7103c27c74bb085015b2af3f413bca8ecbd48fc71becf31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4DVFO7R6TJ7ZXEPEYZEXXYBVVW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lane Detection and Classification using Cascaded CNNs","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alejandro Barrera, Fabio Pizzati, Fernando Garc\\'ia, Marco Allodi","submitted_at":"2019-07-02T10:54:06Z","abstract_excerpt":"Lane detection is extremely important for autonomous vehicles. For this reason, many approaches use lane boundary information to locate the vehicle inside the street, or to integrate GPS-based localization. As many other computer vision based tasks, convolutional neural networks (CNNs) represent the state-of-the-art technology to indentify lane boundaries. However, the position of the lane boundaries w.r.t. the vehicle may not suffice for a reliable positioning, as for path planning or localization information regarding lane types may also be needed. In this work, we present an end-to-end syst"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01294","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":"2026-05-17T23:40:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5nSrUlsE9hUXZyLlwr0arjlsLfo18MadBocoRuTxGjCYC7RN8yMBXnDATfoDMzE7W47ar2jcO9XvT9tRJ2EKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:50:02.316283Z"},"content_sha256":"0143778e9a023c1105b860e0f7d3dae4bb6655bb72dc6a924c303bea3be59803","schema_version":"1.0","event_id":"sha256:0143778e9a023c1105b860e0f7d3dae4bb6655bb72dc6a924c303bea3be59803"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/bundle.json","state_url":"https://pith.science/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/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":"2026-05-25T22:50:02Z","links":{"resolver":"https://pith.science/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW","bundle":"https://pith.science/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/bundle.json","state":"https://pith.science/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4DVFO7R6TJ7ZXEPEYZEXXYBVVW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4DVFO7R6TJ7ZXEPEYZEXXYBVVW","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":"704e6d9ce62e01816786fd77ee2cc4b70417ff0cfae99159730655c168d58a63","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T10:54:06Z","title_canon_sha256":"ae7a1d0f3addd00f8c3e59a6706f663987b208b0742b232bcbfb5d6ea46afcd1"},"schema_version":"1.0","source":{"id":"1907.01294","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.01294","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"arxiv_version","alias_value":"1907.01294v2","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01294","created_at":"2026-05-17T23:40:17Z"},{"alias_kind":"pith_short_12","alias_value":"4DVFO7R6TJ7Z","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4DVFO7R6TJ7ZXEPE","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4DVFO7R6","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:0143778e9a023c1105b860e0f7d3dae4bb6655bb72dc6a924c303bea3be59803","target":"graph","created_at":"2026-05-17T23:40:17Z","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":"Lane detection is extremely important for autonomous vehicles. For this reason, many approaches use lane boundary information to locate the vehicle inside the street, or to integrate GPS-based localization. As many other computer vision based tasks, convolutional neural networks (CNNs) represent the state-of-the-art technology to indentify lane boundaries. However, the position of the lane boundaries w.r.t. the vehicle may not suffice for a reliable positioning, as for path planning or localization information regarding lane types may also be needed. In this work, we present an end-to-end syst","authors_text":"Alejandro Barrera, Fabio Pizzati, Fernando Garc\\'ia, Marco Allodi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T10:54:06Z","title":"Lane Detection and Classification using Cascaded CNNs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01294","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":"sha256:5729c7d07b96c36fe7103c27c74bb085015b2af3f413bca8ecbd48fc71becf31","target":"record","created_at":"2026-05-17T23:40:17Z","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":"704e6d9ce62e01816786fd77ee2cc4b70417ff0cfae99159730655c168d58a63","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T10:54:06Z","title_canon_sha256":"ae7a1d0f3addd00f8c3e59a6706f663987b208b0742b232bcbfb5d6ea46afcd1"},"schema_version":"1.0","source":{"id":"1907.01294","kind":"arxiv","version":2}},"canonical_sha256":"e0ea577e3e9a7f9b91e4c6497be035ad8b1ffbad0f7957e9b528ae085175a883","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0ea577e3e9a7f9b91e4c6497be035ad8b1ffbad0f7957e9b528ae085175a883","first_computed_at":"2026-05-17T23:40:17.040333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:17.040333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YChMlqpmsXcZZMvGinb+4Yem1bM/FmnyirvPPYXFsEniQe1CcLz1aagYYjM+PwiHnH81eqBGhP9ikhNsCohEDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:17.041104Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.01294","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5729c7d07b96c36fe7103c27c74bb085015b2af3f413bca8ecbd48fc71becf31","sha256:0143778e9a023c1105b860e0f7d3dae4bb6655bb72dc6a924c303bea3be59803"],"state_sha256":"9e268b6e3682cede1505c8e00f51a5aadcb3c757941ecf43c121b559efcfcb92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7b7h7cTeevHdRtc0vRnKtJ0pjBiCee4AEBCAgGpFBm18Ua3vtzMqHBICCb68lxq60fF5vplqwCbkzex2PC2CCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T22:50:02.320469Z","bundle_sha256":"93ac2f591df3314bdddc1b385b8b3e37a2684c7383d5b26c9f216e0e3606b4fb"}}