Paper Citation Record · LEDGER

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.12092.

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

pith.paper-citation-record.v1
2506.12092 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:44:05.512205Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy12
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a02eb624-407d-45ae-9a9e-0353082e533a · outbound

This paper cites Communications of the ACM55(4), 77–84 (2012).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Communications of the ACM55(4), 77–84 (2012)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:08.158634Z

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 22c6bb14-be5d-4bc7-aace-4287edbf7d32 · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:02.662364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77be9618-e129-4fc0-bc0f-7407405a26a7 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Unsupervised Cross-lingual Representation Learning at Scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:02.812955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad29f1a9-6177-4082-99ee-7f944bddf5df · outbound

This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:02.935764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a07f26-94b3-45fd-a8ae-98539a987ee3 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.053005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4237b0b-b721-4c91-846b-d08a3d905497 · outbound

This paper cites Accident Analysis & Prevention 191, 107217 (2023).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Accident Analysis & Prevention 191, 107217 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.987272Z

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 d40d5050-7778-403b-bfc4-76b195abab79 · outbound

This paper cites In: ICML.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety In: ICML

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.855113Z

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 9fb98263-5d1e-4ce6-8caf-2c87f28a04de · outbound

This paper cites A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.440368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b04d1f3-101c-4025-b9a0-69df1b89a9a1 · outbound

This paper cites an unresolved cited work.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:44:07.705871Z

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 5c7d82c2-b6ee-4e96-a2ef-88d3d7078761 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.629413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06efcc9e-c840-454a-9cb0-1e0d9abdf869 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety MTEB: Massive Text Embedding Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:03.752614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f89e99d-4e67-4d37-ad89-d58bb3f4b708 · outbound

This paper cites Transportation research record2678(2), 212–222 (2024).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Transportation research record2678(2), 212–222 (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.535134Z

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 2818a935-c387-4223-bf43-9e95cfef70fe · outbound

This paper cites In: 2020 International joint conference on neural networks (IJCNN).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety In: 2020 International joint conference on neural networks (IJCNN)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.381599Z

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 5aa7458c-8588-4c35-90c3-aa897dddead1 · outbound

This paper cites Sensors21(20), 6929 (2021).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Sensors21(20), 6929 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.287520Z

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 eec48ab0-2a18-4595-966b-f10f80c66655 · outbound

This paper cites Information14(4), 242 (2023).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Information14(4), 242 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:07.080472Z

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 02abb4c6-8a04-431b-b5a2-8753e2f89948 · outbound

This paper cites an unresolved cited work.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.164311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7388e78-78ff-4394-b250-e0aeaa7a2c4c · outbound

This paper cites Journal of machine learning research21(140), 1– 67 (2020).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Journal of machine learning research21(140), 1– 67 (2020)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:06.887434Z

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 241bf843-952e-434e-bad0-59e8e5a4d49a · outbound

This paper cites In: Inui, K., Jiang, J., Ng, V., Wan, X.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety In: Inui, K., Jiang, J., Ng, V., Wan, X

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.422738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5340a5-b323-44e8-9de7-d634f2b7bf67 · outbound

This paper cites IEEE Open Journal of Intelligent Transportation Systems4, 955–965 (2023).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety IEEE Open Journal of Intelligent Transportation Systems4, 955–965 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:06.622444Z

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 d0f4f635-2c36-4472-8650-4123e0b1004a · outbound

This paper cites an unresolved cited work.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:44:06.390884Z

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 05d8038a-ff93-492f-9515-839dbc371461 · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.778051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc7372c-e354-4606-8cc2-2394a69c04b6 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.866080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9831fe10-f588-4b56-b8d3-3d05a046de5b · outbound

This paper cites Towards Multilingual LLM Evaluation for European Languages.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Towards Multilingual LLM Evaluation for European Languages

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.996495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ec377a-b6f9-4a5b-9d09-cebfe485c926 · outbound

This paper cites Advances in neural information processing systems30 (2017).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Advances in neural information processing systems30 (2017)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:05.094031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166e8d5e-6f5f-4fa6-b511-c82931868d78 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022) 18 E.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Advances in neural information processing systems35, 24824–24837 (2022) 18 E

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:06.183000Z

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 66f75237-4f80-44e0-a92a-866c6837ac7a · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:05.284804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237ee65d-8da9-4876-aa81-622445e0b5ce · outbound

This paper cites Advances in Engineering Software29(7-9), 599–610 (1998).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Advances in Engineering Software29(7-9), 599–610 (1998)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:05.939511Z

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 df617a0e-2d0f-44d1-b2eb-f644b598664b · outbound

This paper cites Applied Sciences14(17), 7819 (2024).

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety Applied Sciences14(17), 7819 (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:44:05.735823Z

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.