{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7GS5L5O6S7PJR3AZ577RZSV3ZP","short_pith_number":"pith:7GS5L5O6","canonical_record":{"source":{"id":"1907.09706","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T05:56:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a95878aaf5ca6cc7246a8a40cc2fd367f2a62ee1a4b6b0b4296bf317a47984af","abstract_canon_sha256":"1bf90728623d35893a0c3b5f1e43f5b337bbf1037ace4b60ce459faab7eb9cc0"},"schema_version":"1.0"},"canonical_sha256":"f9a5d5f5de97de98ec19efff1ccabbcbd3a4edcb1b732b22d33a810f2d148dd3","source":{"kind":"arxiv","id":"1907.09706","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.09706","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"arxiv_version","alias_value":"1907.09706v1","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09706","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_12","alias_value":"7GS5L5O6S7PJ","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_16","alias_value":"7GS5L5O6S7PJR3AZ","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_8","alias_value":"7GS5L5O6","created_at":"2026-07-05T04:08:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7GS5L5O6S7PJR3AZ577RZSV3ZP","target":"record","payload":{"canonical_record":{"source":{"id":"1907.09706","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T05:56:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a95878aaf5ca6cc7246a8a40cc2fd367f2a62ee1a4b6b0b4296bf317a47984af","abstract_canon_sha256":"1bf90728623d35893a0c3b5f1e43f5b337bbf1037ace4b60ce459faab7eb9cc0"},"schema_version":"1.0"},"canonical_sha256":"f9a5d5f5de97de98ec19efff1ccabbcbd3a4edcb1b732b22d33a810f2d148dd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:08:37.191698Z","signature_b64":"tcO+Sywa+v2yF/8R0ZljLKCMqkyPatABJWkk5lF05u+9q7YYX/8++rbnfvC9y1euhpOBNQZ+Mg36pKeacrueAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9a5d5f5de97de98ec19efff1ccabbcbd3a4edcb1b732b22d33a810f2d148dd3","last_reissued_at":"2026-07-05T04:08:37.191212Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:08:37.191212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.09706","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":"2026-07-05T04:08:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"prLCVBlK+fA0pP/VJtHNtQwHSn4ZLHXCOf35noYSVXfjNA/J03OQyME84bAGi0FisNCqpABUfZ5L5Uvli+npBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T21:57:08.335103Z"},"content_sha256":"dcf3232b1985fa1c1251adb5763c771d2388d5d95b8dfd996bc3efdc4d54ff3a","schema_version":"1.0","event_id":"sha256:dcf3232b1985fa1c1251adb5763c771d2388d5d95b8dfd996bc3efdc4d54ff3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7GS5L5O6S7PJR3AZ577RZSV3ZP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Heon Lee, John Kim, Samuel Yu","submitted_at":"2019-07-23T05:56:43Z","abstract_excerpt":"Currently, the visually impaired rely on either a sighted human, guide dog, or white cane to safely navigate. However, the training of guide dogs is extremely expensive, and canes cannot provide essential information regarding the color of traffic lights and direction of crosswalks. In this paper, we propose a deep learning based solution that provides information regarding the traffic light mode and the position of the zebra crossing. Previous solutions that utilize machine learning only provide one piece of information and are mostly binary: only detecting red or green lights. The proposed c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09706","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/1907.09706/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":"2026-07-05T04:08:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D2bz+kILuIlIPXvjBd2Nuli5c86C3QuFiJDWLp64Iqn3ICiTnVW715Wmsb3dozYwSiwMxfyHKW8hDQplmwzBBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T21:57:08.335938Z"},"content_sha256":"6873b326f2f4161c741f2baa544f409bced37950871bc52e9a42943aa2ea4d55","schema_version":"1.0","event_id":"sha256:6873b326f2f4161c741f2baa544f409bced37950871bc52e9a42943aa2ea4d55"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/bundle.json","state_url":"https://pith.science/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/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":"2026-07-12T21:57:08Z","links":{"resolver":"https://pith.science/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP","bundle":"https://pith.science/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/bundle.json","state":"https://pith.science/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GS5L5O6S7PJR3AZ577RZSV3ZP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7GS5L5O6S7PJR3AZ577RZSV3ZP","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":"1bf90728623d35893a0c3b5f1e43f5b337bbf1037ace4b60ce459faab7eb9cc0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T05:56:43Z","title_canon_sha256":"a95878aaf5ca6cc7246a8a40cc2fd367f2a62ee1a4b6b0b4296bf317a47984af"},"schema_version":"1.0","source":{"id":"1907.09706","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.09706","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"arxiv_version","alias_value":"1907.09706v1","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09706","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_12","alias_value":"7GS5L5O6S7PJ","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_16","alias_value":"7GS5L5O6S7PJR3AZ","created_at":"2026-07-05T04:08:37Z"},{"alias_kind":"pith_short_8","alias_value":"7GS5L5O6","created_at":"2026-07-05T04:08:37Z"}],"graph_snapshots":[{"event_id":"sha256:6873b326f2f4161c741f2baa544f409bced37950871bc52e9a42943aa2ea4d55","target":"graph","created_at":"2026-07-05T04:08:37Z","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/1907.09706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Currently, the visually impaired rely on either a sighted human, guide dog, or white cane to safely navigate. However, the training of guide dogs is extremely expensive, and canes cannot provide essential information regarding the color of traffic lights and direction of crosswalks. In this paper, we propose a deep learning based solution that provides information regarding the traffic light mode and the position of the zebra crossing. Previous solutions that utilize machine learning only provide one piece of information and are mostly binary: only detecting red or green lights. The proposed c","authors_text":"Heon Lee, John Kim, Samuel Yu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T05:56:43Z","title":"LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09706","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:dcf3232b1985fa1c1251adb5763c771d2388d5d95b8dfd996bc3efdc4d54ff3a","target":"record","created_at":"2026-07-05T04:08:37Z","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":"1bf90728623d35893a0c3b5f1e43f5b337bbf1037ace4b60ce459faab7eb9cc0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T05:56:43Z","title_canon_sha256":"a95878aaf5ca6cc7246a8a40cc2fd367f2a62ee1a4b6b0b4296bf317a47984af"},"schema_version":"1.0","source":{"id":"1907.09706","kind":"arxiv","version":1}},"canonical_sha256":"f9a5d5f5de97de98ec19efff1ccabbcbd3a4edcb1b732b22d33a810f2d148dd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9a5d5f5de97de98ec19efff1ccabbcbd3a4edcb1b732b22d33a810f2d148dd3","first_computed_at":"2026-07-05T04:08:37.191212Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:37.191212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tcO+Sywa+v2yF/8R0ZljLKCMqkyPatABJWkk5lF05u+9q7YYX/8++rbnfvC9y1euhpOBNQZ+Mg36pKeacrueAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:37.191698Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.09706","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcf3232b1985fa1c1251adb5763c771d2388d5d95b8dfd996bc3efdc4d54ff3a","sha256:6873b326f2f4161c741f2baa544f409bced37950871bc52e9a42943aa2ea4d55"],"state_sha256":"1461990e8320d9543ed02fb7ca9a3705f29e6fd3f4d7cf12033514366a95014d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Os4aSv6ZTFhUFUYQga1HzoX/EXEd2XxK74+rikZ0VDxMXjXbl6kgReHeVJpytks/OnblGhcu5GKVWky+N75ZCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T21:57:08.340056Z","bundle_sha256":"7b5fd232fa6ba3a39e57326719699f03cdfdfae37d6b81f08c64fa93acd2556e"}}