{"as_of":"2026-08-09T00:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cb5bfb2a5587c9bd5f1d8bd92ddde5cbdbff6e159f588bd167aa859292d31c9","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:34:29.505294Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.18426/citation-record","integrity":"/paper/2505.18426/integrity","json":"/paper/2505.18426/citation-record.json","paper":"/paper/2505.18426"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.141689Z","title":null,"venue":null,"work_id":"74543e2b-2055-41b9-afce-9c46b012475a","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:24.696216Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:d5dcf2a771b7b36aa89f5f50fd188b23522662f12a5efe213fb745fbcb89fae5","observation_id":"1b1051fc-882d-47ce-b81f-e918b3200596","resolution":{"observed_at":"2026-08-07T14:34:32.144965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.133552Z","title":null,"venue":null,"work_id":"d9957362-489f-4a13-b3d4-3802bf1fc0cb","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:24.757984Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:9e5fa76c6d5207ae592b6865364db2c7eaae6015f48d1a9b27b24a72beaf44d4","observation_id":"720dafe1-d955-4430-a7b7-aeaf95e447b8","resolution":{"observed_at":"2026-08-07T14:34:32.136456Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.125271Z","title":"We explore how generative models have evolved, the nature and taxonomy of hallucinations, and the approaches taken to detect and mitigate them","venue":null,"work_id":"4745c4c3-dc76-43c3-955c-029b3e500aaf","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:24.814262Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:5a7da0f2feb30613b0e7c202a6ce62c8fd9321a9acf31eba9d0e01003ec0f56e","observation_id":"1c5ff4a6-ecc5-4a64-b6ca-bc108c11f1ce","resolution":{"observed_at":"2026-08-07T14:34:32.128451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.117893Z","title":"To mitigate these complexities, context -augmented LLMs offer a practical solution","venue":null,"work_id":"a995cee0-6611-49eb-93ee-840649be21e3","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:24.916086Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:f3e2af016b38beefbbfead9cd7c49dd9478a1f06aa3c2e12fd232c0dcaf9f70f","observation_id":"eed21021-cace-4ded-9aa3-61ad738438ed","resolution":{"observed_at":"2026-08-07T14:34:32.121056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.110574Z","title":"Alabama\" and the state of","venue":null,"work_id":"387b5299-82c7-49c3-b006-abce1bb81635","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:24.955573Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:14a82e8057746c0fe35d56ec1e40999293d59d5f574dd5665f72e4fd2be53c17","observation_id":"e836acd5-8cf0-4cd9-8652-b3a232c41219","resolution":{"observed_at":"2026-08-07T14:34:32.113253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.102093Z","title":"statutes and legislation","venue":null,"work_id":"bed32464-dd52-4e23-bc66-08b4ad83ffa3","year":2012},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.036253Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:7cd7651c6a4b64db2b90216b8c2fe03972f85c8db8be13110483544f8e1933ae","observation_id":"93250a35-0e73-489e-99cf-9533289c70fc","resolution":{"observed_at":"2026-08-07T14:34:32.105380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.094057Z","title":"Figure 9 showcases a sample output 4 produced by our RAG-powered GPT architecture","venue":null,"work_id":"3ea3997a-683d-4f93-8e15-c415745e6d55","year":2025},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.084741Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:2bc96cb7050c1b5af20c5c8110942859955530bfbd80eaa191c88828262b0c7b","observation_id":"f5e9da3a-75ea-4234-b52e-ddc15dcb23e2","resolution":{"observed_at":"2026-08-07T14:34:32.097121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.011290Z","title":"This limitation is 29 significant, as inaccurate outputs can misidentify legislative gaps and complicate the work of legal 30 and policy stakeholders","venue":null,"work_id":"f82344b8-c073-4d48-9eda-1b51c5437f6b","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.898220Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:b6a25a868fdc6bec244782dab4e0f98957500597ba00f5e2f13e0befa9466751","observation_id":"cfcc8a9e-d347-4a82-8630-b81a27b03706","resolution":{"observed_at":"2026-08-07T14:34:32.014416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.052613Z","title":"Definitions.pdf (14) Identification document","venue":null,"work_id":"516ed688-c63d-446d-94c7-547462339606","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.377434Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:1141fa530ef149ad3cc19363b9ccf2eec5121a0bc6f5295e42e49e6826c0a084","observation_id":"b4d67730-6519-4eab-a9b0-39f140905fd3","resolution":{"observed_at":"2026-08-07T14:34:32.056431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.044864Z","title":null,"venue":null,"work_id":"29fdb21d-c379-45b2-8c24-358163cf7cc5","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.407383Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:d914c267e955ee5af9dd6901f5c13144b1c8071763bd3c92b7fafdcf8c85c0bc","observation_id":"f38ff92f-b2d6-44b4-841e-f04f9d55834b","resolution":{"observed_at":"2026-08-07T14:34:32.047942Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.086160Z","title":"§ 13A-8-111:","venue":null,"work_id":"d48d0b05-4505-4c3a-a08b-4b90404aea4e","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.438135Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:1668a5e53dadd713aa0606f0b2bc223347df3e544108e3cc40f9390800df1bed","observation_id":"2fffcf5e-6931-429f-85f6-bb929fcebc78","resolution":{"observed_at":"2026-08-07T14:34:32.089189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.077556Z","title":null,"venue":null,"work_id":"a707e4a0-7872-4535-a49b-df4affdef991","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.524157Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:843e9e66658be3b88901ec013e24fc0c1bfed7236b29dfd2478803ed9d1836f5","observation_id":"413bb801-2cff-4ad7-b29e-49d9b608707f","resolution":{"observed_at":"2026-08-07T14:34:32.081074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.069738Z","title":"Definitions.pdf","venue":null,"work_id":"156245be-e14c-4afe-9b0a-63eefc0d1704","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.573577Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:801405f377ae8d552c9c0d2b246303054a9f4fd92e530626450d0867290a7b38","observation_id":"c995b57b-da0c-4d98-86b9-296afd30d72f","resolution":{"observed_at":"2026-08-07T14:34:32.072933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.061827Z","title":null,"venue":null,"work_id":"aefe0bc9-1f0e-4a26-bf68-6ca3aa4b9018","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.594210Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:30fa5a63df1b3954a102cfa418f5c1c61d47174fa56dd817245ca5798da3007f","observation_id":"55155efc-b1bc-4878-8cdd-1ec0ba3a362b","resolution":{"observed_at":"2026-08-07T14:34:32.064567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.036562Z","title":"identification document","venue":null,"work_id":"7b01b6a4-ac64-492d-a961-0ccdd42270c7","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.647236Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:fc875eb0e1ab1978af7745ac8749e5785e741aa22fad41de3e806f52d738063d","observation_id":"10e18f1a-f790-4ce6-8de8-8d186f716495","resolution":{"observed_at":"2026-08-07T14:34:32.039727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.027884Z","title":"The comparison focuses on the 4 factual accuracy of the responses produced by each model","venue":null,"work_id":"42628aab-e110-44fa-a274-000baa5febe9","year":2022},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.718484Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:3cefaf885493271f7f7598306a9b9bc10d0949f4f738416d3d7a16a98efd1ae3","observation_id":"6dbc4d8f-5e0f-464a-b65c-b169d3ff96e4","resolution":{"observed_at":"2026-08-07T14:34:32.031497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.899781Z","title":null,"venue":null,"work_id":"16109514-6ad4-4b52-8066-505102a373b0","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.638975Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:1e08c17a1451228b7d01c2ea032710b02e6398f5ad90c77cfad6f19ba4e3958d","observation_id":"3fbfe7e0-23aa-40f5-9967-9bd1f0731950","resolution":{"observed_at":"2026-08-07T14:34:31.902549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.004030Z","title":"These methods can scrutinize both questions and outputs for adherence to 25 standards","venue":null,"work_id":"d9d434b2-202f-492b-b16b-bba8753f132c","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.951913Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:afa856bd414e5a8ba230dc8aa191d785bdeb17f95ff69fa5113fcad02b96f875","observation_id":"082d14c4-623b-458f-8b2c-d76888e15b2d","resolution":{"observed_at":"2026-08-07T14:34:32.006785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.996605Z","title":"Department of Transportation National University 29 Transportation Center) headquartered at Clemson University, Clemson, South Carolina, USA","venue":null,"work_id":"c371ff62-ec3b-4efe-a1a3-5aad7e20bcf3","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.021120Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:38a167ae2b201103c38c628f30d89227979467cc61ddae9a70c18d8235de34e5","observation_id":"939d54f2-5a05-4e46-97d6-7b432cdf6377","resolution":{"observed_at":"2026-08-07T14:34:31.999357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.988250Z","title":"All authors reviewed the results 42 and approved the final version of the manuscript","venue":null,"work_id":"5900e848-a5d0-406e-9cd2-7e921fdf3ada","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.081118Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:cebe2fe8a7a09199b23ba5306af0661d5b70db7df22523259eafaaf48de68388","observation_id":"84ded7cb-a169-4a42-b957-13e74cfd1169","resolution":{"observed_at":"2026-08-07T14:34:31.991343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.980840Z","title":null,"venue":null,"work_id":"bfa7e35f-272d-401a-826f-deb8da16915d","year":null},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.156851Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:3eb1564edec14112786010320e8e3648f8d392ff0d70a5e001f226ecfa919fcd","observation_id":"3c44179b-c632-4717-9d42-6c90674abd68","resolution":{"observed_at":"2026-08-07T14:34:31.983768Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/jcp3030025","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:29.889660Z","title":null,"venue":null,"work_id":"49eb19d8-f69a-40fb-b802-1fd3ec015bca","year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.276352Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:bd58a6fe69c42b1d8906e8af29e6e4a136216450313c5f25bf1b808972543877","observation_id":"7be8a8a0-652e-4002-a054-934a01210ce9","resolution":{"observed_at":"2026-08-07T14:34:29.991465Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/tjo3.12036","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:29.662845Z","title":null,"venue":null,"work_id":"5bef6d4f-ecc0-4cd5-9ed7-dc7ad2e1663f","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.328598Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:458735544cea0c2fb66cc947b10807d28b30d8523389616fd12edaff38e8353c","observation_id":"1f7560e2-7dc4-4286-8ba8-4257b8775ac2","resolution":{"observed_at":"2026-08-07T14:34:29.758636Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.972415Z","title":"Moss, eds","venue":null,"work_id":"19884710-b272-4d64-9bec-bbe5218491c8","year":2010},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.485728Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:6db3ae4628260a49d65ab3286d25b94f2ad064a2492fda5d31fc8320ed6a63e7","observation_id":"c69adb22-12fa-4ef8-a505-aa16c418343a","resolution":{"observed_at":"2026-08-07T14:34:31.975963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.964226Z","title":"Transforming Legal Aid with AI: Training LLMs to Ask Better Questions for Legal Intake","venue":null,"work_id":"cf467950-6825-4b1f-8f77-64bed9cc312a","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.603366Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:f303b07e6c455c9a27b74475d026ecdc7285d3bf8e0e6a1e7389517aeafd391b","observation_id":"03e7a4e3-6bb5-4f5a-bba9-1edc61a06b58","resolution":{"observed_at":"2026-08-07T14:34:31.967582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.955877Z","title":"How LLM’s Are A Game Changer In Legal Research","venue":null,"work_id":"b0e4f98e-9361-443d-b780-1d48e051d524","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.757779Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:4f70050cd5fcda5bf50661b90cb06f0aaf8a3863171635a71578a84ebabd8a9f","observation_id":"d47e1afa-dbd0-4900-adf2-17bbab134d6a","resolution":{"observed_at":"2026-08-07T14:34:31.958969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.947621Z","title":null,"venue":null,"work_id":"3c03ca77-2b4e-413e-ba18-eabb57851497","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:26.913507Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:bce0942b134c66516f93801541937edd13d90fa0556fd4138662e5aab99d369b","observation_id":"5ebed13f-61c6-40e6-8908-9922de840af9","resolution":{"observed_at":"2026-08-07T14:34:31.951090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.939931Z","title":null,"venue":null,"work_id":"d2c97990-2f9f-45f0-9824-2d8afbdfffdf","year":2019},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.041620Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:d2998a902bcef47f67ea1772248d00bcdb16a639b1fae762ffd3cc1a95dc91d6","observation_id":"1d715de9-950a-4186-844a-60045ea07d5a","resolution":{"observed_at":"2026-08-07T14:34:31.942495Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.932244Z","title":null,"venue":null,"work_id":"36228796-e946-46c8-acaf-7b7b64e0bc1e","year":2022},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.199286Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:24576da935f72f2a2a2e03ba22c984143bcf926b8533f5409bee9979ebb5bfba","observation_id":"8afc321e-96c1-4aaa-a4c2-6473af442117","resolution":{"observed_at":"2026-08-07T14:34:31.934883Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08466","last_updated":"2022-04-04T06:17:40Z","snapshot_observed_at":"2026-07-06T11:58:31.306092Z","submitted_at":"2021-10-16T04:17:12Z","title":"On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark","version":2},"cited_work":{"arxiv_id":"2110.08466","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.08466","snapshot_observed_at":"2026-08-07T14:34:30.405042Z","title":"On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark","venue":"cs.CL","work_id":"8cc056af-e101-4079-acb6-781234066ff3","year":2021},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.373564Z"},"links":{"cited_paper":"/paper/2110.08466","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:48b3ec8fda0053d483ac786744e46de288c69d6353b1cf1f138e993514836069","observation_id":"5c13b6eb-8f60-420f-82be-a07ef2261ddf","resolution":{"observed_at":"2026-08-07T14:34:30.496446Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-07-06T16:13:46.112815Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01219","snapshot_observed_at":"2026-08-07T14:34:27.538073Z","title":"T., Bi, W., Shi, F., & Shi, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.538073Z"},"links":{"cited_paper":"/paper/2309.01219","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:5816df5fee960877f15ea8f025d52b7d6084f4134ad4e67d5727683842081c90","observation_id":"ef1066c5-0362-41ec-986a-dd8f8f1a25de","resolution":{"observed_at":"2026-08-07T14:34:27.538073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05232","last_updated":"2024-11-19T12:42:45Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T09:25:37Z","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05232","snapshot_observed_at":"2026-08-07T14:34:27.702729Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.702729Z"},"links":{"cited_paper":"/paper/2311.05232","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:d11008e39f08eb81e008e6dd1fdcb5b1336335021e3380d5cddcf4a5076b8610","observation_id":"34e7cdf0-16c0-40fb-9de9-2490adc6ea39","resolution":{"observed_at":"2026-08-07T14:34:27.702729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07931","last_updated":"2022-04-17T05:15:24Z","snapshot_observed_at":"2026-07-06T13:01:00.912646Z","submitted_at":"2022-04-17T05:15:24Z","title":"On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07931","snapshot_observed_at":"2026-08-07T14:34:27.804907Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.804907Z"},"links":{"cited_paper":"/paper/2204.07931","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:079e4ba316f31fc60c1415a17394ffb4137418e59ce3c802a11e58e5c709522c","observation_id":"0cfd2e23-94ad-43d8-9ffb-806d6e930a1e","resolution":{"observed_at":"2026-08-07T14:34:27.804907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:27.878448Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.878448Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:543a19f7e7a9a594c696c1ad380499e863306937da8e0cf78c0c740b5ae98b0d","observation_id":"ecf5a247-8d8f-46e1-97c4-0ed839637723","resolution":{"observed_at":"2026-08-07T14:34:27.878448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08704","last_updated":"2022-04-02T15:23:44Z","snapshot_observed_at":"2026-08-04T20:24:53.448063Z","submitted_at":"2021-04-18T04:09:48Z","title":"A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation","version":2},"cited_work":{"arxiv_id":"2104.08704","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.08704","snapshot_observed_at":"2026-08-07T14:34:30.118793Z","title":"A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation","venue":"cs.CL","work_id":"74072620-90d6-4a63-8d54-d0d361dca1af","year":2021},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:27.941451Z"},"links":{"cited_paper":"/paper/2104.08704","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:15301e25610391d2299282ec5a608eb0813659e25c8e715d25cbdbe6dc40abd3","observation_id":"6fd7cd10-f991-425b-8afd-3be8972611d1","resolution":{"observed_at":"2026-08-07T14:34:30.208104Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14627","last_updated":"2023-10-31T15:04:35Z","snapshot_observed_at":"2026-08-07T16:43:54.797998Z","submitted_at":"2023-05-24T01:53:49Z","title":"Enabling Large Language Models to Generate Text with Citations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14627","snapshot_observed_at":"2026-08-07T14:34:28.026754Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.026754Z"},"links":{"cited_paper":"/paper/2305.14627","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:8ae40d6cb18fe3cc009f50e89dd0198d90855efd9630cbaad0f95e8f90cb9eb5","observation_id":"d5011949-8a95-4f9a-ac8f-0c68016928a9","resolution":{"observed_at":"2026-08-07T14:34:28.026754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.923740Z","title":"Hallucinating Law: Legal Mistakes with Large Language Models Are Pervasive","venue":null,"work_id":"08728f56-9135-4138-8451-c0fafdb5b244","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.110914Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:0984298fd081cb1a6a30bbe6797e186533fa3bd2601b46ca81d12cdf341d4641","observation_id":"3d59132a-5816-4d84-a0c4-b17de8d96541","resolution":{"observed_at":"2026-08-07T14:34:31.927118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.914904Z","title":null,"venue":null,"work_id":"a0c341b4-1a48-4f60-98eb-17721eb30475","year":2021},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.166621Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:22ba67be4c34e171b84b1f3dd55552aff110069c491f8bab6a021d3b70ffad40","observation_id":"f1fd2429-3168-49c3-a4a3-2e81143b3442","resolution":{"observed_at":"2026-08-07T14:34:31.917995Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10131","last_updated":"2024-06-05T17:27:51Z","snapshot_observed_at":"2026-07-06T17:45:07.023305Z","submitted_at":"2024-03-15T09:26:02Z","title":"RAFT: Adapting Language Model to Domain Specific RAG","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10131","snapshot_observed_at":"2026-08-07T14:34:28.297477Z","title":"G., Jain, N., Shen, S., Zaharia, M., Stoica, I., & Gonzalez, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.297477Z"},"links":{"cited_paper":"/paper/2403.10131","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:aa55a5961e6ed69676525888a7bb58969a2f83d3a01008d6a917142fb39dd6e6","observation_id":"481cc88c-e95a-4268-9385-bea4f8b13c88","resolution":{"observed_at":"2026-08-07T14:34:28.297477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.907656Z","title":"LlamaIndex","venue":null,"work_id":"93f51de4-6101-4359-a67c-1a47ec660947","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.442374Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:31c02229e66fd6a32b3618a6f1a2de35a3f63c1924079a3d065a4b2a367d315d","observation_id":"a6d204cf-97f1-4388-8bd8-0c30c2d66ece","resolution":{"observed_at":"2026-08-07T14:34:31.910539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-07T14:34:28.548212Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.548212Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:85c374b87dc91ed8792cc4c7dc429e2fdbc3d06cb86acfb77dcd1753e8516743","observation_id":"5cb95806-dc2c-476d-b1e5-b2ed39ecc3af","resolution":{"observed_at":"2026-08-07T14:34:28.548212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.891880Z","title":null,"venue":null,"work_id":"bd98974b-66fa-4693-8014-915fad2c194e","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.688015Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:ee9f7a1f8074d2a0fa5bf5a7bbbcc1988c8b6e46ed2a87f318140cc1f997b866","observation_id":"e968a917-7edf-4234-85bc-65d991550fa9","resolution":{"observed_at":"2026-08-07T14:34:31.894934Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.884598Z","title":"(2024, July 26)","venue":null,"work_id":"41d0be9d-ddcf-4c7a-ade2-cc0b4808e59c","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.772361Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:86195c7280830db0f44c2b00ca001251b20df88aa5e78b6b2786e118a38ce912","observation_id":"63cc7ccc-82a1-437a-95d9-85d787fc5873","resolution":{"observed_at":"2026-08-07T14:34:31.887298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.877455Z","title":"(2024, May 7)","venue":null,"work_id":"ce5b6047-680d-4415-83e7-607a59b1e7f0","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.823365Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:237dfe2e96f07d58e0ae73137e8a753a39744488cf027c45c4f8a695f23e9d05","observation_id":"760bdeb2-422a-478c-9967-58cd58241109","resolution":{"observed_at":"2026-08-07T14:34:31.879559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.787501Z","title":"(2024, July 23)","venue":null,"work_id":"9e3da6eb-3837-4560-8528-44d371048b53","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.861420Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:52521411fdffc728f36ce9b51efdc4953bac78edada991e998635f3bca88adb1","observation_id":"94213522-537f-4456-9cc9-570a06a80ad2","resolution":{"observed_at":"2026-08-07T14:34:31.794525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:28.930150Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.930150Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:49887753a0866927abddf1ffc193ad0c30eaadd28d9edc4250b931bf4536dcb6","observation_id":"2688b8d7-16ae-41be-b92b-c0761967c650","resolution":{"observed_at":"2026-08-07T14:34:28.930150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:28.963597Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:28.963597Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:5954481e18d975a6ec29284d0efae11f1e05bdc48eee8191745a7dce7796e705","observation_id":"1a3b1808-f045-47fc-b1e6-38b9a80049fa","resolution":{"observed_at":"2026-08-07T14:34:28.963597Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.496213Z","title":"Q., & Artzi, Y","venue":null,"work_id":"3d2fe5d3-67a7-469a-8310-760fbaa9e923","year":2020},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:29.074701Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:81075ca7a84cc2846c4413d1e347a1e8470397aa12b195e60ae459f2fd9260f3","observation_id":"223cae72-b661-4e2d-af28-6081ddfee0ee","resolution":{"observed_at":"2026-08-07T14:34:31.602422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.362523Z","title":null,"venue":null,"work_id":"69657995-2703-4d42-a152-aa8415ece3ec","year":2004},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:29.178789Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:1d4aad7155eec31f21c404923a245ff8b3df446436872fabf1e8c4f4bc2dcace","observation_id":"21f933a7-1293-47ca-bf23-21ff3c59ae64","resolution":{"observed_at":"2026-08-07T14:34:31.403689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:31.136056Z","title":"OpenAI Platform","venue":null,"work_id":"cbe8d9d2-b398-4210-87f6-05ab37f7d546","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:29.318885Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:b54bd27a3704157a81eb413cb5e4ee6187bd0e1a422eb0302a9210bb134b6e5d","observation_id":"6795d1c0-9006-47de-ab43-d5298afd89d9","resolution":{"observed_at":"2026-08-07T14:34:31.247689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:30.878739Z","title":null,"venue":null,"work_id":"3a6c2ec5-7199-42ab-b007-ce397baf693a","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:29.426083Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:796a9aa20ea1c490dfafbb7c362f822184cb012a74b691c6e61b46a8c39b46e1","observation_id":"d1e78430-3c95-43c5-81aa-595c8462e4e8","resolution":{"observed_at":"2026-08-07T14:34:31.016954Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:30.613763Z","title":null,"venue":null,"work_id":"617c502d-eea7-435c-9a17-3429fba9c5e5","year":2024},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:29.505294Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:3832d9448d11afb988e41b225264ad3da08e74419eeaeafc6ffdef6d01ce7f15","observation_id":"6316082b-2964-493a-bbf9-a44608f7f290","resolution":{"observed_at":"2026-08-07T14:34:30.736922Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:34:32.019505Z","title":"What 37 are the maximum penalties for failing to follow the data breach notification statutes in Ohio and 38 Oklahoma?","venue":null,"work_id":"c75268d3-c0cf-4ec6-acdb-aee32d8e45b8","year":2023},"citing_paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:25.833637Z"},"links":{"citing_paper":"/paper/2505.18426"},"observation_digest":"sha256:4aac9d5e92766392f4e7e3992c88a73b7328768e78a630179297c964ddf7427b","observation_id":"75f71623-bdc1-4135-9a98-41a54b12aa0a","resolution":{"observed_at":"2026-08-07T14:34:32.023347Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.18426","last_updated":"2025-05-23T23:40:10Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T14:29:21.779301Z","submitted_at":"2025-05-23T23:40:10Z","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":4,"verified_fuzzy":24},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.18426."}