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Paper Citation Record · LEDGER

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2604.15369.

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

pith.paper-citation-record.v1
2604.15369 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:40:33.026198Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:11:28.679991Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact6
  • verified fuzzy4
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0fe8ed8-13f8-40fc-ae5e-3524cfdf25be · outbound

This paper cites Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.681809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:e2fdda36e91e2c8e6cccb0bfea13ab2d88b255c15d75c851a265c2b9fd178920

Observation 7578fc53-2912-4d11-b81b-83e10747e17e · outbound

This paper cites an unresolved cited work.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Unresolved cited work

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:26.953120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:0f6bd3e3725713f12172496a8c7bff24b1a78b22b8a0a8ba2a9961fdc6f82a93

Observation 992360ee-f5b1-46cf-bb80-17cdf17129bb · outbound

This paper cites An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:28.686562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:648d7620f90cc4f7354d979eb26ada09b67670c43431e3a2c4567ab3496b9a17

Observation beccc242-6eb2-4b94-98ea-a94d1614a42c · outbound

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

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.677775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:3041ba17a9d738ad577b14edff5f341edf1ef9a8d0387908b865502869e09d5c

Observation 1b4b2199-a507-4984-886a-1c307ab940e1 · outbound

This paper cites Accessed: 2025-07-27.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Accessed: 2025-07-27

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:52:52.989970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:efbbc4a5dabc6aaa65253fbb5e7081c5e1d1691a60959d31be50f50c6816daee

Observation 57a897e7-8867-4c1f-98fd-a1ef781ccf5c · outbound

This paper cites CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T13:45:28.654084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:e5a45b44ad0aa382635ecb914a20084d082404816511486c4763c426f327cee6

Observation 8045d958-7c58-4117-a72d-e4b1f8d2189a · outbound

This paper cites The Llama 3 Herd of Models.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives The Llama 3 Herd of Models

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T13:45:28.661866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:640b8832d3c757d0fd5edf09cf42770f505e25bf3816e8a695447494813ac8bc

Observation 27eab6aa-6995-4f81-8ebf-d69f449e4b01 · outbound

This paper cites Accident Analysis & Prevention 181, 106932.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Accident Analysis & Prevention 181, 106932

Reference 8

Resolution
verified exact
doi, observed 2026-05-10T13:45:26.949265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:af54d27598738006b17d16c972fe9c973c98c43a956b22462054e9d386ee8d42

Observation 873d8256-186c-47ca-80f1-e292d52198a9 · outbound

This paper cites an unresolved cited work.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Unresolved cited work

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:26.939125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:34f794681d48b78f0930e73dd792eb1a48187b1e9bf9eaf93a917c40176feb49

Observation 14bd95f9-be85-46aa-89c8-93d71faecb0e · outbound

This paper cites Accessed: 2025-07-27.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Accessed: 2025-07-27

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:52:52.975523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:05f6dbf494156f2bf16038114b8fb73409e8d239fc40f1aae2a4a58305b018f2

Observation 42dd62b5-af02-4ee8-a286-1260d43dc0be · outbound

This paper cites Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:26.930116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:6b62f1971fa6b22d5ad0c6f661c8a82b3279000e24e64c225916d474d6816759

Observation 9ee30b78-ad1a-43c4-8c68-6c793183ce57 · outbound

This paper cites Patterns 2, 100255.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Patterns 2, 100255

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:26.943216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:626251b47c3bb97e97917c72aa09a917f8efcc27d7a2762af39a497235a18426

Observation db1f7cf9-83e2-4de6-81ea-95d5ff363d86 · outbound

This paper cites Accessed: 2025-07-27.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Accessed: 2025-07-27

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:52:52.978635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:d2e8b0d976ab7279aecef2c54c3c543d1ffa1bf71651fd6161fed595df463316

Observation 726183d9-e586-4000-83ff-6eff44943b6e · outbound

This paper cites Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:09:22.244422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:0c0abe2d97f87be26af4e22e13ca96b0f7baca9725429cdc4075b9fab0896fbf

Observation 290413e5-01d7-43d5-9f6a-6db0744a658e · outbound

This paper cites URL: http://arxiv.org/abs/2501.09765, doi:10.48550/arXiv.2501.09765.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives URL: http://arxiv.org/abs/2501.09765, doi:10.48550/arXiv.2501.09765

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:26.935284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:f9516256d774079595cc9afb0215e0f23ce149a2c87f1db54b98743342e7e18d

Observation fc061157-be19-4299-8046-48c988afdda9 · outbound

This paper cites publisher: International Educational Data Mining Society.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives publisher: International Educational Data Mining Society

Reference 16

Resolution
verified exact
doi, observed 2026-05-10T13:45:26.946180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:20efd4f9375f47a90cc2a42574ebf22928973380444f8ae397acaa791075bc3b

Observation 509cdc1f-a3cf-4fe8-a6f5-0daec2c52184 · outbound

This paper cites an unresolved cited work.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:52:52.985710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:4af383ec4a61391aa61f05bb8aa849ce53a30bdfdd26cc15b2365362737ee553

Observation 957ca011-6602-4d91-b1d6-2a6e9fe863b8 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Gemma: Open Models Based on Gemini Research and Technology

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:54:09.189864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:55d482d12cd00cc94c30a55bb531db82e6ff38a6401a87ec5091dbf9ac7b07ec

Observation 40f547b7-5fa5-4327-bd41-736333cff76f · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives GPT-NER: Named Entity Recognition via Large Language Models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:28.672620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:be4d78ef9cf53e356c6f9508d33e68702d8f67e8bc9f5777c4b83747724bd326

Observation 8b47f41b-bc14-4328-a5d2-f42c79ce8507 · outbound

This paper cites Accessed: 2025-07-27.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Accessed: 2025-07-27

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:52:52.982015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:fe1a55091fd124d7ca80abd1633a9d36fec864a02c4e23f6335a1c9ca6fe4458

Pith citing papers

Observation 672730fa-56bc-4f0f-b5a1-d27942223e49 · inbound

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety cites this paper.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-31T22:11:28.679991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:11:28.679991Z digest=sha256:cd60efa3d232d4076ba3b993dbee9ce135ed0cc7c4b8cf96e26bb500c5ac69df