{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JK3WIS33XXVMUR54WLA5XQT5A2","short_pith_number":"pith:JK3WIS33","canonical_record":{"source":{"id":"2211.05229","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-07T12:59:01Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"90b2f7ae5980509f912a810d123fc4299e7998435fbd38557112ef4210056622","abstract_canon_sha256":"c916406cc9e590ee6ddcaa2351839d07ce65a2c36134213e95d79e1fe5d9bcaa"},"schema_version":"1.0"},"canonical_sha256":"4ab7644b7bbdeaca47bcb2c1dbc27d06b46f78904580121adcded0817947a7b6","source":{"kind":"arxiv","id":"2211.05229","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05229","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05229v1","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05229","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_12","alias_value":"JK3WIS33XXVM","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_16","alias_value":"JK3WIS33XXVMUR54","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_8","alias_value":"JK3WIS33","created_at":"2026-07-05T05:15:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JK3WIS33XXVMUR54WLA5XQT5A2","target":"record","payload":{"canonical_record":{"source":{"id":"2211.05229","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-07T12:59:01Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"90b2f7ae5980509f912a810d123fc4299e7998435fbd38557112ef4210056622","abstract_canon_sha256":"c916406cc9e590ee6ddcaa2351839d07ce65a2c36134213e95d79e1fe5d9bcaa"},"schema_version":"1.0"},"canonical_sha256":"4ab7644b7bbdeaca47bcb2c1dbc27d06b46f78904580121adcded0817947a7b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:15:01.596104Z","signature_b64":"Bu/U/n6BVmsnabouU30/uwfZDwxE2iVEgowfX2mh5eOJpsOGDC9sIHzHR20t9YyOoeILNvWuYAJo9mqU9ouZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ab7644b7bbdeaca47bcb2c1dbc27d06b46f78904580121adcded0817947a7b6","last_reissued_at":"2026-07-05T05:15:01.595670Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:15:01.595670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.05229","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":"2026-07-05T05:15:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wKtQRir3jYjcw1bTxZGzdNbEsRAxpJvUcnHF2NJgt8nn0Xxe6/lJ4os1uiqEEnIYWJSdS0xBWwft5Onpfss9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:12:24.615520Z"},"content_sha256":"361087aefa9066a59d2f66135455ef5288254f20f41eb0efc91bfd0274d4df52","schema_version":"1.0","event_id":"sha256:361087aefa9066a59d2f66135455ef5288254f20f41eb0efc91bfd0274d4df52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JK3WIS33XXVMUR54WLA5XQT5A2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Number Plate Recognition (ANPR) with YOLOv3-CNN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Abhishek Kumbhar, Rajas Pathare, Rajdeep Adak, Sagar Gowda","submitted_at":"2022-11-07T12:59:01Z","abstract_excerpt":"We present a YOLOv3-CNN pipeline for detecting vehicles, segregation of number plates, and local storage of final recognized characters. Vehicle identification is performed under various image correction schemes to determine the effect of environmental factors (angle of perception, luminosity, motion-blurring, and multi-line custom font etc.). A YOLOv3 object detection model was trained to identify vehicles from a dataset of traffic images. A second YOLOv3 layer was trained to identify number plates from vehicle images. Based upon correction schemes, individual characters were segregated and v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05229","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/2211.05229/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":"2026-07-05T05:15:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JhHuT2/aWS6WAq/VofwGtfbAGCBAgp0NB6jf6JoDg9wEdSANBO7V/o7hHDfn/vR0zgVKggdbdyb0Yfnv6IBjAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:12:24.616419Z"},"content_sha256":"6e707f493515bcef769978e82e007bd7389f39544332ad312b6533a2a17f2eda","schema_version":"1.0","event_id":"sha256:6e707f493515bcef769978e82e007bd7389f39544332ad312b6533a2a17f2eda"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JK3WIS33XXVMUR54WLA5XQT5A2/bundle.json","state_url":"https://pith.science/pith/JK3WIS33XXVMUR54WLA5XQT5A2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JK3WIS33XXVMUR54WLA5XQT5A2/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":"2026-08-15T11:12:24Z","links":{"resolver":"https://pith.science/pith/JK3WIS33XXVMUR54WLA5XQT5A2","bundle":"https://pith.science/pith/JK3WIS33XXVMUR54WLA5XQT5A2/bundle.json","state":"https://pith.science/pith/JK3WIS33XXVMUR54WLA5XQT5A2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JK3WIS33XXVMUR54WLA5XQT5A2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JK3WIS33XXVMUR54WLA5XQT5A2","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":"c916406cc9e590ee6ddcaa2351839d07ce65a2c36134213e95d79e1fe5d9bcaa","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-07T12:59:01Z","title_canon_sha256":"90b2f7ae5980509f912a810d123fc4299e7998435fbd38557112ef4210056622"},"schema_version":"1.0","source":{"id":"2211.05229","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05229","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05229v1","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05229","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_12","alias_value":"JK3WIS33XXVM","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_16","alias_value":"JK3WIS33XXVMUR54","created_at":"2026-07-05T05:15:01Z"},{"alias_kind":"pith_short_8","alias_value":"JK3WIS33","created_at":"2026-07-05T05:15:01Z"}],"graph_snapshots":[{"event_id":"sha256:6e707f493515bcef769978e82e007bd7389f39544332ad312b6533a2a17f2eda","target":"graph","created_at":"2026-07-05T05:15:01Z","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/2211.05229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a YOLOv3-CNN pipeline for detecting vehicles, segregation of number plates, and local storage of final recognized characters. Vehicle identification is performed under various image correction schemes to determine the effect of environmental factors (angle of perception, luminosity, motion-blurring, and multi-line custom font etc.). A YOLOv3 object detection model was trained to identify vehicles from a dataset of traffic images. A second YOLOv3 layer was trained to identify number plates from vehicle images. Based upon correction schemes, individual characters were segregated and v","authors_text":"Abhishek Kumbhar, Rajas Pathare, Rajdeep Adak, Sagar Gowda","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-07T12:59:01Z","title":"Automatic Number Plate Recognition (ANPR) with YOLOv3-CNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05229","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":"sha256:361087aefa9066a59d2f66135455ef5288254f20f41eb0efc91bfd0274d4df52","target":"record","created_at":"2026-07-05T05:15:01Z","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":"c916406cc9e590ee6ddcaa2351839d07ce65a2c36134213e95d79e1fe5d9bcaa","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-07T12:59:01Z","title_canon_sha256":"90b2f7ae5980509f912a810d123fc4299e7998435fbd38557112ef4210056622"},"schema_version":"1.0","source":{"id":"2211.05229","kind":"arxiv","version":1}},"canonical_sha256":"4ab7644b7bbdeaca47bcb2c1dbc27d06b46f78904580121adcded0817947a7b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ab7644b7bbdeaca47bcb2c1dbc27d06b46f78904580121adcded0817947a7b6","first_computed_at":"2026-07-05T05:15:01.595670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:15:01.595670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bu/U/n6BVmsnabouU30/uwfZDwxE2iVEgowfX2mh5eOJpsOGDC9sIHzHR20t9YyOoeILNvWuYAJo9mqU9ouZCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:15:01.596104Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.05229","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:361087aefa9066a59d2f66135455ef5288254f20f41eb0efc91bfd0274d4df52","sha256:6e707f493515bcef769978e82e007bd7389f39544332ad312b6533a2a17f2eda"],"state_sha256":"c51c88f9219c5ce48133a87d3329a312981a1d905aa1b5d950293372fc5c3c77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NlMLqQdAg58q8ysZ2riSmwN8rLfHzGDGG+vURBTSXpo7+H+cv39WAaVMsIOEeL/broYydHWqLyd+FKcAHzPbCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T11:12:24.621157Z","bundle_sha256":"27a28cc0a29638cb6eeb341c3666b0e9c50e1f4b57bc9e5688013a3a24b9ffee"}}