{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4B6ANPPXPJZQXX2GAMH2X7QJLI","short_pith_number":"pith:4B6ANPPX","canonical_record":{"source":{"id":"2412.14197","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T16:22:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"dc6f26b5913e9c21ce7bf80b8379cc1c44e4b1d61880c96a3df3b6bc521cd116","abstract_canon_sha256":"1fe10c29d489a725c457468105926e0aa282c56975390b9e2257e8ec67e027f9"},"schema_version":"1.0"},"canonical_sha256":"e07c06bdf77a730bdf46030fabfe095a0e61e1407e8b7b1c3fdb7b4a8bcc9475","source":{"kind":"arxiv","id":"2412.14197","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14197","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14197v1","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14197","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_12","alias_value":"4B6ANPPXPJZQ","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_16","alias_value":"4B6ANPPXPJZQXX2G","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_8","alias_value":"4B6ANPPX","created_at":"2026-07-05T09:51:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4B6ANPPXPJZQXX2GAMH2X7QJLI","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14197","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T16:22:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"dc6f26b5913e9c21ce7bf80b8379cc1c44e4b1d61880c96a3df3b6bc521cd116","abstract_canon_sha256":"1fe10c29d489a725c457468105926e0aa282c56975390b9e2257e8ec67e027f9"},"schema_version":"1.0"},"canonical_sha256":"e07c06bdf77a730bdf46030fabfe095a0e61e1407e8b7b1c3fdb7b4a8bcc9475","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:41.668113Z","signature_b64":"g0luSlfFGFCVCmQj0ExWn1MwsqIf9mynkLbkamMCB3A/swkvWV5UhA+ndubO10z7vleLh/iaw6A2nkctvBsnCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e07c06bdf77a730bdf46030fabfe095a0e61e1407e8b7b1c3fdb7b4a8bcc9475","last_reissued_at":"2026-07-05T09:51:41.667645Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:41.667645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14197","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":"2026-07-05T09:51:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FjS126ceL4h5I+GKexensMuR8hd3/yzKP+BHbIG20JnYUjrsCHJDvIyYS5uN1EAbdAiaMKXP51bP4VrwKlwzBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:33:00.833547Z"},"content_sha256":"327191b5cd2a81809187a930ab058db8d368c06eb37273f7cf936392a4653f6b","schema_version":"1.0","event_id":"sha256:327191b5cd2a81809187a930ab058db8d368c06eb37273f7cf936392a4653f6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4B6ANPPXPJZQXX2GAMH2X7QJLI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Chee How Lim, Hezerul Abdul Karim, Manish Kumar Mishra, Myles Joshua Toledo Tan, Nouar AlDahoul, Raghava Reddy Tera, Yasir Zaki","submitted_at":"2024-12-14T16:22:10Z","abstract_excerpt":"License plate recognition (LPR) involves automated systems that utilize cameras and computer vision to read vehicle license plates. Such plates collected through LPR can then be compared against databases to identify stolen vehicles, uninsured drivers, crime suspects, and more. The LPR system plays a significant role in saving time for institutions such as the police force. In the past, LPR relied heavily on Optical Character Recognition (OCR), which has been widely explored to recognize characters in images. Usually, collected plate images suffer from various limitations, including noise, blu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14197","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/2412.14197/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":"2026-07-05T09:51:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qt7p4fEVOFdkIxQYHDOH/4h7KtyNRrF1nORgYLRiN3QACArCq6pdOBIcsQNLWTvQikpld6TBJp9x9a+caZy2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:33:00.834411Z"},"content_sha256":"f4067975df8b1d2348d27247ae6199b00e6d6f6e3538e93200e7ab3c0c089336","schema_version":"1.0","event_id":"sha256:f4067975df8b1d2348d27247ae6199b00e6d6f6e3538e93200e7ab3c0c089336"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/bundle.json","state_url":"https://pith.science/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/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":"2026-08-11T01:33:00Z","links":{"resolver":"https://pith.science/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI","bundle":"https://pith.science/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/bundle.json","state":"https://pith.science/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4B6ANPPXPJZQXX2GAMH2X7QJLI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4B6ANPPXPJZQXX2GAMH2X7QJLI","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":"1fe10c29d489a725c457468105926e0aa282c56975390b9e2257e8ec67e027f9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T16:22:10Z","title_canon_sha256":"dc6f26b5913e9c21ce7bf80b8379cc1c44e4b1d61880c96a3df3b6bc521cd116"},"schema_version":"1.0","source":{"id":"2412.14197","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14197","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14197v1","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14197","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_12","alias_value":"4B6ANPPXPJZQ","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_16","alias_value":"4B6ANPPXPJZQXX2G","created_at":"2026-07-05T09:51:41Z"},{"alias_kind":"pith_short_8","alias_value":"4B6ANPPX","created_at":"2026-07-05T09:51:41Z"}],"graph_snapshots":[{"event_id":"sha256:f4067975df8b1d2348d27247ae6199b00e6d6f6e3538e93200e7ab3c0c089336","target":"graph","created_at":"2026-07-05T09:51:41Z","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/2412.14197/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"License plate recognition (LPR) involves automated systems that utilize cameras and computer vision to read vehicle license plates. Such plates collected through LPR can then be compared against databases to identify stolen vehicles, uninsured drivers, crime suspects, and more. The LPR system plays a significant role in saving time for institutions such as the police force. In the past, LPR relied heavily on Optical Character Recognition (OCR), which has been widely explored to recognize characters in images. Usually, collected plate images suffer from various limitations, including noise, blu","authors_text":"Chee How Lim, Hezerul Abdul Karim, Manish Kumar Mishra, Myles Joshua Toledo Tan, Nouar AlDahoul, Raghava Reddy Tera, Yasir Zaki","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T16:22:10Z","title":"Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14197","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":"sha256:327191b5cd2a81809187a930ab058db8d368c06eb37273f7cf936392a4653f6b","target":"record","created_at":"2026-07-05T09:51:41Z","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":"1fe10c29d489a725c457468105926e0aa282c56975390b9e2257e8ec67e027f9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T16:22:10Z","title_canon_sha256":"dc6f26b5913e9c21ce7bf80b8379cc1c44e4b1d61880c96a3df3b6bc521cd116"},"schema_version":"1.0","source":{"id":"2412.14197","kind":"arxiv","version":1}},"canonical_sha256":"e07c06bdf77a730bdf46030fabfe095a0e61e1407e8b7b1c3fdb7b4a8bcc9475","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e07c06bdf77a730bdf46030fabfe095a0e61e1407e8b7b1c3fdb7b4a8bcc9475","first_computed_at":"2026-07-05T09:51:41.667645Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:41.667645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g0luSlfFGFCVCmQj0ExWn1MwsqIf9mynkLbkamMCB3A/swkvWV5UhA+ndubO10z7vleLh/iaw6A2nkctvBsnCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:41.668113Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14197","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:327191b5cd2a81809187a930ab058db8d368c06eb37273f7cf936392a4653f6b","sha256:f4067975df8b1d2348d27247ae6199b00e6d6f6e3538e93200e7ab3c0c089336"],"state_sha256":"9adadce903a828e3cbdbaab880eeea203fc7864a33edface777d4c97ccc37dbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9UD5BNwttyK0EufTJg29uBh4TEc/Ckq/6EjEsZ+KgHiJ+sprCSUgVACK1fXWlVfZr9sOUiwSEKcJBQsdtc6zDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T01:33:00.839646Z","bundle_sha256":"fcb95cea1925252360d56f8403bbaf8eea3bbf56699609854c1e1762f40af29a"}}