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Paper Citation Record · LEDGER

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

As of 10 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.

pith.paper-citation-record.v1
2605.21712 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:04:24.857120Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:1bd6e2bc9c7083cf78d9604598f053b07739c5c95299f181db443cdb1972be3b

Observation 999ff55b-6bd4-41b8-89da-04a06e2a7141 · outbound

This paper cites 2024 , url =.

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:c0537af63e2edb34b142a6a099ec504e5df7654e4ee1353afa68c51ea9af886e

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:8e883fac6da36a448ebe5b13637bb2e257e31fae1d34afcac049bdee2c01ff2b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:0a0eeeffe4f52945fb734ee83350cc9f3ab72ae7b0b5c128ed6551e9d06f4b5f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:22af084c73c7e96ff2b4ebb4d19ca93efe0faad769e37c75d037f51a2474edf2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:87e0b5115af02460e5482c8080422fbcd0d39138d79f57eb28980773f314564f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:d43d4fe1048aa2884339f24255e8d71db01e33aa4c4ad35a6f35f411372f926a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:98ba80f453c14147b148857fe18b8fbcc56fe9a68110530515100569102da76f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:ba41311455c5cfc34bea29c08849e9f74abc25ebf4a1b4a0668a0bdc5b4e81e1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:d2fe4eab4d6ae39d878fb1d20db0a433aab249ba56107aab3b8a6ee72be23298

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:255f6dd3c9a9524187107e1032e6e9d073a9f87042ea3b6740faf8bdb6b23a51

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:35372d3e52996a897b996e870562fb1392379ed5548b2b3111ef6eadfc8f6567

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:3d0aa42dc09cfbfce263fe2c3e472057b9fa5f970dc442d2b79e3d873c47fd40

Observation dd057f4d-c1f2-4cfc-a93d-9510c8d6afc7 · outbound

This paper cites Text-to-.

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries 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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:cd230fde0bcdaf37f968d0a1cf695e192c5b5d38f00e5ede25a28acd71a725b2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:eb0a56d711842bc5cbf7dd071bec9ffdeed2085e3e717370928ba9419973cb64

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:a07762b99d84cf75455b1b1cb59e5d475b67488c0fec45b6ed0b98b67e61b403

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:244125c5dd45081fa8a2cac52e45148986c46d85fb7d3de1df46a8c92663ea27

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:9bef313c9f23c3cd8caea7c25415b5e3639923466098c7880dd99ad66ea3e674

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:604c6e555d892ec1d0d291fd7291082bcf98ffba08ad0edf5f099f143dd993f9

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:6dcee8a89eaa30ab6d4ffe414c374032c80e5928adef883885c0cd83676b54c5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:6d9e886efbeb411105d14b41504bd623586e14e71d69928d904c232e595f6101

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:34eb163fd8c88e0ba1a1ec3bfbd016ca96f61e6a77abb71d98d81ac67fdc8569

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:1e7acb6638f07d5d0043d449eff2a8b135bf109c7473ee367d4d0d076019f027

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:5227fa84570f104dcf427ec9be9985ba9680f1b06597e7eaecad007d31e21d75

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:fe049958affa1cdba5169053fb7aa1007c48b99cc01cd2943baaa351704c83fe

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:d259cb9d913cc044187b2dac35d233dfd730a304f62079ab543a6a2e6c0a9c85

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:3eca2a80c82e79289738bd21d2627ff266787bd3a41ceb3ede224457a8f3c3fc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:bf9e695c607391459897aa039b056555edc3bc68f0b222739aece7bfe14842c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:8e53cf88c9c092cf922d40870bbffd2e26c96a521c0c0f03258759791065080a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:a772bd0fcda87bd589f1494b6565fd32b737c5eddae3bae854318574fa2db1fa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T09:04:24.857120Z digest=sha256:6dda7840e408712cb0b5a3692753ad735996ccf2ace3a461e19a466c19394e14

Pith citing papers

No inbound Pith citation observations are available.