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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.24168.

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

pith.paper-citation-record.v1
2607.24168 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:11:29.266411Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

69 of 69 outbound references displayed

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  • unresolved69
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation d06c057d-56bc-4646-b7d4-961a59afffd7 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 1

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Observation 449767e5-fa61-4808-b549-b4486ed90bb5 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-31T22:11:21.064697Z digest=sha256:f2c351495a00c473f89aad7ec7c89c00ccb00e24a60508657fdcdf556a1a56b8

Observation 220a600f-be11-43e3-9d5c-94dc85a89f87 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-31T22:11:21.119842Z digest=sha256:5a84eb51d482c8d25bda35db53137153678192abb87f316f929c4280881abac5

Observation 7f85835a-da87-4251-83af-d934b1dbe24a · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-31T22:11:21.225606Z digest=sha256:4c7ce7de23fa9b2246bb32d957cca7a7a52ca46436c536da09bcab48e2e58f54

Observation 25555047-d19a-4cbf-9edc-34bd87519600 · outbound

This paper cites Elvik, A.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Elvik, A

Reference 5

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Observation 24be95e5-9e69-44fa-87d4-3918e5aa81ca · outbound

This paper cites Tingvall, N.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Tingvall, N

Reference 6

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source=pdf_text observed=2026-07-31T22:11:21.412061Z digest=sha256:73be3d9c5ec31bef8e2320d37e9a8cea9e88664265618b23cfcd99962392522e

Observation d71961fc-a30a-4fa7-bb1a-fe9ff27df226 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-31T22:11:21.512798Z digest=sha256:d2a283e397092fed027457d5cd1f6ffecd5036ba274a2fcdafac0f4f259b2001

Observation 95340510-caa5-4124-9ed5-f7dca5c364ee · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-31T22:11:21.608620Z digest=sha256:a1e8af327609e28114db3231ea34cde9a969d0d6dfc73e2523128d6e43f3a734

Observation 6ae16cbc-d91b-4d12-a1d9-2e22cf0fddf1 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 9

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source=pdf_text observed=2026-07-31T22:11:21.714281Z digest=sha256:82a3e5a4ef012c308f8d7ff4dfbf08d674bd61a5bd4e8c7db39dd41a65201fac

Observation 187baaae-44f2-4cf0-af87-099a29995056 · outbound

This paper cites Getis, J.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Getis, J

Reference 10

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Observation a20a10c9-4c5f-4e6e-a975-f69025eafc31 · outbound

This paper cites Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen

Reference 11

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Observation daf48da7-1f1d-442a-b7b4-1f43c22dbe3d · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 12

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Observation 481d4de9-a41a-4b17-88a4-86a166d04617 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 13

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Observation 24a4b3ce-f842-4f9b-9263-43b88011511c · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 14

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source=pdf_text observed=2026-07-31T22:11:22.177579Z digest=sha256:c6529b8dd71cf000825f6cb418b5c7459b043d4f09aa233e3301983a27a7cf3a

Observation 37c360c9-1ee2-4822-89ad-bb21d973b1de · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 15

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Observation 6cc144f0-4514-4f6d-b1ab-b93f2154a639 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 16

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Observation e51a7855-8a43-4a41-8000-ecdcf18d0c5a · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 17

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Observation 837465fd-61fa-4d09-99c4-0bad78625e2f · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 18

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source=pdf_text observed=2026-07-31T22:11:22.788961Z digest=sha256:17000005d26f2bf97f9b0bbc1eb17279f77387784f1985002478e714a44e75de

Observation 40a3f149-99fe-4052-a5c1-415882ae44b8 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 19

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Observation ada326f9-8e05-4e40-ba9b-fcf8283fa543 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 20

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Observation 1aeb4491-7f65-40f7-b861-67d859f1316b · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-31T22:11:23.003975Z digest=sha256:fad349fc7c02c98d36712ec67d31b4cb72bbb5bdb4293237be124989a7a29130

Observation bbfa174b-8bfe-49df-988d-d0b16bc5f6ce · outbound

This paper cites Weisburd, Place Based Policing, Ideas in American Policing, Police Foundation, Washington, DC, 2008.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Weisburd, Place Based Policing, Ideas in American Policing, Police Foundation, Washington, DC, 2008

Reference 22

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Observation 501b9cd8-37a1-45f4-8812-2474cdd5c9e0 · outbound

This paper cites Hardy, Data-Driven Policing: How Geographic Analysis Can Reduce Social Harm, Geography and Public Safety 2 (2010) 1–2.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Hardy, Data-Driven Policing: How Geographic Analysis Can Reduce Social Harm, Geography and Public Safety 2 (2010) 1–2

Reference 23

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Observation 432d11e5-b588-431d-ad01-e813fc30de39 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 24

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Observation c2bc3ee6-1c64-4bf3-92d7-693d56068e18 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 25

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Observation 9ed6d356-d403-49fb-97c0-c0f7a0b767c0 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 26

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Observation b8daea17-7839-4237-b7f8-f29f44774363 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

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Observation 095032bb-e381-4578-be38-1a423a75ca0d · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

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Observation 7b6f4559-195c-42ac-a2d2-8b551189cf76 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 29

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Observation 54c29dc1-dbc8-4e20-a03d-f080c19783f3 · outbound

This paper cites Department of Transportation, 2014.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Department of Transportation, 2014

Reference 30

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Observation ffc2bdad-7cc5-4208-9dac-68c9683c783e · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 31

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source=pdf_text observed=2026-07-31T22:11:24.312195Z digest=sha256:37412071ba3edb77c0bf7b581e413dcabdaad28af4ccb779f0048ff704910367

Observation 48399fa1-3106-458d-a00f-e899fb6ea761 · outbound

This paper cites Kaygisiz, Ş.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Kaygisiz, Ş

Reference 32

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Observation 5d69ed74-b2d2-4f63-817b-502bd02baf8e · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

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Observation 8875e056-59b6-4072-b801-4c25512ec15b · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 34

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Observation e25aa6da-8e72-48ff-81b7-a4a60eff3598 · outbound

This paper cites wi.gov, 2020.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety wi.gov, 2020

Reference 35

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Observation 6c0fba0b-a89f-4568-ad39-7dc64cd80e41 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 36

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Observation e6a4e465-1d9e-4432-a26f-7c08896d64c2 · outbound

This paper cites Williams, Effect of high-visibility enforcement on motor vehicle crashes,https://nij.ojp.gov/topics/articles/ effect-high-visibility-enforcement-motor-vehicle-crashes, 2020.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Williams, Effect of high-visibility enforcement on motor vehicle crashes,https://nij.ojp.gov/topics/articles/ effect-high-visibility-enforcement-motor-vehicle-crashes, 2020

Reference 37

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Observation 446f6a66-41e9-4d13-bb7b-6039381905c1 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 38

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Observation f24ac5c4-b7fe-42e6-b7fb-dad4b788e518 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 39

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Observation 2eda1a53-94e8-472a-8216-e470569496af · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

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Observation c0621b97-9349-4c7d-9533-429ccab41025 · outbound

This paper cites Vaswani, N.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Vaswani, N

Reference 41

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Observation 94cbc3a4-e782-4f40-b021-5bda38e06553 · outbound

This paper cites Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement

Reference 42

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Observation 306c7d0c-2bd1-419e-aa31-db4e6b94ee95 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 43

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Observation e396b721-1ac5-40ca-95b2-01a2e7b854e9 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 44

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Observation b0b394c6-d933-4dd6-9b3c-f28a8b8334ef · outbound

This paper cites Hossain, Y.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Hossain, Y

Reference 45

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Observation ad5f9007-708b-4d90-b4d4-acea62461905 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 46

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source=pdf_text observed=2026-07-31T22:11:26.410054Z digest=sha256:f485ddfa6a9fb8a1ff53704385fc700599cf2d42cfc1d8f3cd9066c51ede5d1d

Observation 5181eaaa-3ed6-482b-b8cd-9f272c31136c · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 47

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source=pdf_text observed=2026-07-31T22:11:26.577777Z digest=sha256:c47bb275085ce038359e42aa5229fd2b63a66feb791426652ec7a239bf682bdf

Observation 49c39f6f-b199-4477-a622-93cc404db0a3 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 48

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source=pdf_text observed=2026-07-31T22:11:26.775438Z digest=sha256:a109ff4dd56bf2ae848d1bfe52961352d77de23be14d2dfe48bbbc04fc7f4711

Observation 02e7a1f6-c86d-4886-8f7d-c588d76bc485 · outbound

This paper cites AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics

Reference 49

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Observation 3c4f8590-d352-4449-b0db-5d731a768f04 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 50

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Observation 86f82586-b136-426b-aaad-e9b3fe796d50 · outbound

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Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 51

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Observation 36beefc3-e76a-4313-8262-80af791761a6 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 52

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Observation 594aa339-79e2-45b4-b148-43e4d57250b0 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 53

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Observation 1dc9d63a-ea96-4bee-8e00-c84472a12a74 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 54

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Observation 34e3a000-b8bd-4dd7-8801-c9ebd2f03c47 · outbound

This paper cites Tamakloe, M.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Tamakloe, M

Reference 55

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Observation 81ce51fd-214e-4b50-b7f3-02ecca731df2 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 56

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Observation d7739d37-7ade-42bf-8e79-3bdb5f04bc93 · outbound

This paper cites Al Hamami, T.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Al Hamami, T

Reference 57

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Observation 1ddd52c1-3dee-45c7-8c8b-81de184eccd2 · outbound

This paper cites Mesic, J.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Mesic, J

Reference 58

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Observation b459b30a-f183-49d9-8c8b-953aebac7bba · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 59

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Observation b3bd9b2d-ead3-48dc-916f-7cc13cb5272d · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 60

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Observation 549df509-d625-4f46-a155-839b23537e85 · outbound

This paper cites Schubert, J.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Schubert, J

Reference 61

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Observation 85e8447c-7ef0-4e89-9c60-dbca9ecd88bd · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 62

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source=pdf_text observed=2026-07-31T22:11:28.300711Z digest=sha256:ee146c7a49b256ee7a22d9c14c1ca031b270b57fe5f36fc3d5efca4ea33dbe48

Observation 00cecdb6-9376-4196-8915-abadf3756435 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 63

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source=pdf_text observed=2026-07-31T22:11:28.410699Z digest=sha256:53c4f4fa9afa094757f0a608bc84cf0f459e30043e4bf04d45274411f7e42938

Observation 8c14435d-fc52-48b1-ae46-d9e8c5bd52da · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 64

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source=pdf_text observed=2026-07-31T22:11:28.512186Z digest=sha256:722cd8112f4528f4bc8eaef9ede6569cd49439cc5220380cd9e20b03a989ecf8

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

This paper cites An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives.

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

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Observation fe5b3257-b7d6-49a3-a9e8-d9567fb59b6e · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 66

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source=pdf_text observed=2026-07-31T22:11:28.847945Z digest=sha256:dda4dcb12f3b2332417abd8058d00f0333f486849881c368ef06d3edb62d1e13

Observation 6ea6f41f-6d03-4bb1-a691-855c019049d6 · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 67

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source=pdf_text observed=2026-07-31T22:11:28.991813Z digest=sha256:627e51c062d76360b0c6e460731fb48264b9c95c4b67fc44df1b1fdab5140ac4

Observation 7278d2ee-092c-4f7a-a46e-8649f2e209be · outbound

This paper cites an unresolved cited work.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety Unresolved cited work

Reference 68

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source=pdf_text observed=2026-07-31T22:11:29.102312Z digest=sha256:3bff6f98f9d4be32c93d72c4ca03e81ffd7f01ed1faf972e4507094b81a09383

Observation 4f4916cd-04ab-4a6b-90ac-252f08dbc70d · outbound

This paper cites 19/372,938.

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety 19/372,938

Reference 69

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source=pdf_text observed=2026-07-31T22:11:29.266411Z digest=sha256:962c339b91528e7873e5751c3539a3b7f82c8f22919b0161ebe0fcd2bed280b2

Pith citing papers

No inbound Pith citation observations are available.