Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T09:04:24.857120Z
Paper Citation Record · LEDGER
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.21712.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
31 of 31 outbound references displayed
- verified exact3
- verified fuzzy28
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 11d91611-65a4-4f80-9a15-1102caf2afdc · outbound
This paper cites 2010 , month = jan, address =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2010 , month = jan, address =
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.133702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 999ff55b-6bd4-41b8-89da-04a06e2a7141 · outbound
This paper cites 2024 , url =.
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.126120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7929e60-89d0-4c99-97df-c451b0d2d3a3 · outbound
This paper cites 2023 , month = apr, address =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2023 , month = apr, address =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.138035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd73917e-2bce-4f7c-a647-e8fa85246513 · outbound
This paper cites and Balakrishnan, Perumal , journal =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries and Balakrishnan, Perumal , journal =
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.130478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c4ce137f-85c8-42df-a6ed-5e6d0b8195f3 · outbound
This paper cites Accident Analysis & Prevention , volume =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Accident Analysis & Prevention , volume =
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.072186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 56533763-c106-4e71-a516-23e852631893 · outbound
This paper cites 2013 , month = oct, address =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2013 , month = oct, address =
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.076429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7e9140c7-60ce-4ea9-a79d-2d5f9e5ac5fd · outbound
This paper cites Data Science for Transportation , volume =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Data Science for Transportation , volume =
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.039504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 967804ea-58f9-42be-a923-e80264223b80 · outbound
This paper cites GeoLLM: Extracting Geospatial Knowledge from Large Language Models , url =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries GeoLLM: Extracting Geospatial Knowledge from Large Language Models , url =
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.032080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a582640d-0b42-408c-b24d-a98659beaa25 · outbound
This paper cites From Queries to Insights: Agentic.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries From Queries to Insights: Agentic
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.059834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6ef402e3-1e23-4358-880d-d9f0e970284b · outbound
This paper cites Naser , journal =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Naser , journal =
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.063972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 63536d95-5d3e-4c30-ae55-7cf689cef1d4 · outbound
This paper cites Transportation Research Interdisciplinary Perspectives , volume =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Transportation Research Interdisciplinary Perspectives , volume =
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.092720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a206f078-fdf7-4680-87a1-3f2a8059def9 · outbound
This paper cites 2025 , publisher =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2025 , publisher =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.068118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a0b15cba-f511-402b-bbd7-757eaf93c1f2 · outbound
This paper cites Natural Language Engineering , volume =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Natural Language Engineering , volume =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.055518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd057f4d-c1f2-4cfc-a93d-9510c8d6afc7 · outbound
This paper cites Text-to-.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.048324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8512b91b-f9a1-4c4d-b39e-c6eb828ffaf9 · outbound
This paper cites International Journal of Digital Earth , year =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries International Journal of Digital Earth , year =
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.104449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e1436bdd-ba46-4166-a982-e013378e2012 · outbound
This paper cites Naser , journal =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Naser , journal =
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.100721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f2cfd475-950e-4d21-bd14-7929537d8355 · outbound
This paper cites Applications of large language models and generative.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Applications of large language models and generative
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.108943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eae3dbed-1072-4cab-a514-2bf9523f56e3 · outbound
This paper cites 2011 , publisher =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2011 , publisher =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.084191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7fccb44b-f362-47ae-9f03-ed87431d9eae · outbound
This paper cites Artificial Intelligence for Transportation , volume =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Artificial Intelligence for Transportation , volume =
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.096806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 27a89c2a-de0f-4172-bc8b-8398fd74ea4a · outbound
This paper cites 2025 , publisher =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2025 , publisher =
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.088330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 957f9aae-2c22-49d5-8a94-e940f9b59289 · outbound
This paper cites Generative AI in Transportation Planning: A Survey.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Generative AI in Transportation Planning: A Survey
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:04:45.647071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9f674697-9f77-4659-9881-f4731b08e499 · outbound
This paper cites Geo-spatial Information Science , volume=.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Geo-spatial Information Science , volume=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.044476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5b255afd-2213-46ab-bd06-803edd260e5e · outbound
This paper cites and Fillmore, Charles J.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries and Fillmore, Charles J
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.121795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 10691840-6410-4877-941d-94304d025ce1 · outbound
This paper cites 2014 , address =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2014 , address =
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.051687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fbb3a165-6a6d-4e14-94cc-a827cca297fa · outbound
This paper cites American journal of preventive medicine , volume=.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries American journal of preventive medicine , volume=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.112646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 584a51b0-425a-4aa1-a530-85749fba5fa7 · outbound
This paper cites 2023 , number =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2023 , number =
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.080520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d7e946f9-c604-43e2-a331-c219fdab4183 · outbound
This paper cites 2024 , number =.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 2024 , number =
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.047943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 34ffaedf-09a8-4ee9-879c-aee4117745e4 · outbound
This paper cites an unresolved cited work.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Unresolved cited work
Reference 28
- Resolution
- verified exact
- doi, observed 2026-05-22T09:04:45.486547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2c096945-b895-452b-a9c7-84f15de6219f · outbound
This paper cites Blueprint First, Model Second: A Framework for Deterministic LLM Workflow.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-19T17:10:17.016225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8cb79e56-3415-4fa9-911e-4e42adeb9c0f · outbound
This paper cites Comparative analysis of generative.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Comparative analysis of generative
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.117205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 37221eed-31e6-47e7-954c-67723f3c3a3d · outbound
This paper cites Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T09:04:46.023532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.