Paper Citation Record · LEDGER

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2509.07845.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.07845 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:12:54.173986Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:22:25.312119Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy23
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53ec5108-b167-4743-8857-880c4893f009 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.888469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a045ba8e-928b-4d91-8f4f-b5f894167c18 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.876092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c00eb896-c01c-45f8-8cd8-09aa3bf58e82 · outbound

This paper cites Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:12:54.014012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00461704-46e8-40ec-bf2c-ecc727e17f20 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.863481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c22aeb0-6f7d-4f1b-bbad-e73600dbbbd0 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.850827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 564eede4-8cfd-43f6-a30f-2509523164cb · outbound

This paper cites Cohen, and M.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Cohen, and M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.837377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82ffa19a-a99b-4a63-b971-e365fda5c13d · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.824443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2db2d5b6-b655-443b-a2e1-06c0905ddf59 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.812484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac86c71b-e1c0-4f21-afcc-f530ebcb65a7 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.800280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63368b5a-7a9c-4225-83b8-728a16a90c27 · outbound

This paper cites Zhang, A.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Zhang, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.787511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 279cf6c1-3ad8-4905-925f-a834fd09a81a · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.774078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 073563aa-f2c6-4754-a636-15692424a7bf · outbound

This paper cites Albayrak.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Albayrak

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.760792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6597c13b-db53-4223-a09d-1cbcc0cecd7f · outbound

This paper cites Sivarak, Z.-J.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Sivarak, Z.-J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.746957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ee958ee-8686-48ea-90a8-911142b714f6 · outbound

This paper cites Zahid, M.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Zahid, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.733643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e331a6b3-415f-4f63-8ccd-56eb5a13c40f · outbound

This paper cites A Novel Stacking Framework Based On Hybrid of Gradient Boosting-Adaptive Boosting-Multilayer Perceptron for Crash Injury Severity Prediction and Analysis,.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques A Novel Stacking Framework Based On Hybrid of Gradient Boosting-Adaptive Boosting-Multilayer Perceptron for Crash Injury Severity Prediction and Analysis,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-15T16:12:54.341478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd3efd7c-466a-4782-b84d-f568bc479538 · outbound

This paper cites Abdel-Aty, J.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Abdel-Aty, J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.720645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75b8b255-55cc-47ec-ae38-eff10410ad11 · outbound

This paper cites A., and H.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques A., and H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.708665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ac4a9ef-71bd-402e-b2ba-0605fec16892 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.695756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70f96399-eacc-4013-b114-062c9d1c8db0 · outbound

This paper cites Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T16:12:54.074249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06e2095-02cd-4654-8827-b75bb528e6e5 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.683107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdec503e-c6a9-4499-9114-4a585d650cec · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.670068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1db9625e-2a76-42c3-a3f1-cc76d1798373 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.657635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17d1f003-508e-4ce1-81ce-e3e15689748a · outbound

This paper cites Tanzen, and T.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Tanzen, and T

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.645678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7aee08ff-1467-4449-90cb-20bb3d5bf590 · outbound

This paper cites Rodriguez.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Rodriguez

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.634059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2657fef4-b96d-4828-ba8e-0ae704086b75 · outbound

This paper cites A., and S.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques A., and S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.622369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60bfa969-542c-4ad3-af8a-417e4cf9dd2c · outbound

This paper cites Deep learning.In, MIT press, 2016.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Deep learning.In, MIT press, 2016

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.610884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72542414-7c04-4f29-ba73-df71f57f5424 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.599047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 900215b4-b3fb-41d3-89f2-12ee798402ab · outbound

This paper cites Milella, D.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Milella, D

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.587139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a820fc0a-3a05-403d-8550-ea99f7c272be · outbound

This paper cites Zheng, Y.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Zheng, Y

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.574043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6ea8380-53c8-434f-b7de-8154f1dedbf7 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.562070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ae92b54-5187-4a15-a2cc-04b514beacf2 · outbound

This paper cites Elangovan, K.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Elangovan, K

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.550368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0cfe8723-40d1-4f4a-9695-bcb73e1d8d7f · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.538495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5e55959-38b5-49b7-bee3-5e9ba462384b · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.526524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b9ad3a3-9224-4702-b286-389539ff6677 · outbound

This paper cites Elisseeff.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Elisseeff

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.514900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8de2ef9c-aaa1-4227-bde7-1ad34db449f6 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.502882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f81c2fc-43f0-4416-9e1e-0a91b4a509e8 · outbound

This paper cites Guleria, and N.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Guleria, and N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.490839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3202b729-9286-4174-8d7e-9e707db365a0 · outbound

This paper cites Research on feature selection methods based on random forest.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Research on feature selection methods based on random forest

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.478653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d8f132c-1567-4f96-8e77-8783a27e635d · outbound

This paper cites Random forests.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Random forests

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.465952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80491afa-74f5-4e47-9b27-03b4e81d1862 · outbound

This paper cites Li, and H.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Li, and H

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.452839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8bb80e4-ddff-4667-88bc-867c7b78c597 · outbound

This paper cites Lv, and N.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Lv, and N

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.439782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4621994-046b-4fa9-8e39-aa1e49036a7e · outbound

This paper cites Qi-Guang, L.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Qi-Guang, L

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.423050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f79021f-fbf1-47d7-91b3-f3b1f65a2700 · outbound

This paper cites Guestrin.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Guestrin

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.408877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39b5370c-a8ca-4e57-9b5e-f84aef968e53 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.395605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85ca1d73-a071-4f0a-aade-9d74416ccf87 · outbound

This paper cites an unresolved cited work.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:12:54.382471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80d48395-7f0f-49ee-83ce-5f12a2dd9d26 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Efficient Estimation of Word Representations in Vector Space

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T16:12:54.170033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93997f18-8543-4c37-b687-e21edc55589c · outbound

This paper cites A., and D.

Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques A., and D

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:54.369515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 65668d8e-e1fc-4b9f-9716-ba2fa5fd91be · inbound

Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives cites this paper.

Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T14:22:25.312119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.