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Paper Citation Record · LEDGER

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.03161.

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

pith.paper-citation-record.v1
2506.03161 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:35.771381Z

measured 54 of 54 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

54 of 54 outbound references displayed

  • verified exact12
  • verified fuzzy14
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf6e9390-8cc2-4767-8847-3fae99b4c419 · outbound

This paper cites Number of cars in U.S.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Number of cars in U.S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:45.101128Z

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.

source=pdf_text observed=2026-08-07T14:52:31.177115Z digest=sha256:dca53c3d9bbda41c3b1d52d9b27217a0a73e46025da710b9be770ca792eda134

Observation 5c116fa9-d73c-4499-8fb2-001ff4f18221 · outbound

This paper cites How Many Cars Are There in the World in 2021? Stats by Country.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment How Many Cars Are There in the World in 2021? Stats by Country

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:44.958100Z

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.

source=pdf_text observed=2026-08-07T14:52:31.221729Z digest=sha256:7b5eb3bf18cca3894c336e3d17befc3067565be6b4b7d4ffe6d0da79abae2c4c

Observation 7b336032-0309-4dc8-a6e0-03eef8b1e1ff · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:44.810333Z

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.

source=pdf_text observed=2026-08-07T14:52:31.303552Z digest=sha256:28ff47aec0689f6d72f06b8299027393f58768e0d35368e5aa16176bf1fd3b36

Observation dfaab6a2-2ab0-48bc-8dcd-462ced157865 · outbound

This paper cites (2019, March 7).

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment (2019, March 7)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:44.666525Z

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.

source=pdf_text observed=2026-08-07T14:52:31.383206Z digest=sha256:1dc68ceb5bc8da54c55a1794edb84f0d7c1b91fb64a9f2d695e5ce1ee8551c3f

Observation 6d735b08-9cf7-4d29-9b31-abc0c906826d · outbound

This paper cites Urban mobility in the EU Audit preview Information on an upcoming audit.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Urban mobility in the EU Audit preview Information on an upcoming audit

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:44.462434Z

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.

source=pdf_text observed=2026-08-07T14:52:31.476253Z digest=sha256:80afc6956fac68a0e8e9a0b13d48a6248d5a8fd639d0ebd1d07f7da6b5de58f6

Observation 65db1def-2ed2-4f02-a064-f374594edefa · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:44.224526Z

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.

source=pdf_text observed=2026-08-07T14:52:31.520382Z digest=sha256:36f710d28834aca9e4178054343f9c6d1ba8f359ccb4bdcdc9db88703d9920b3

Observation c5452ac0-89d2-48cc-a4ce-66df01617f69 · outbound

This paper cites A., & Zaloshnja, T.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment A., & Zaloshnja, T

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:44.026518Z

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.

source=pdf_text observed=2026-08-07T14:52:31.572207Z digest=sha256:29c42393d1d9227ede3ec7acf0415de463b9ad663c6a753ac80b421f85c6ea39

Observation 3a0d3720-5192-465a-a55b-4c900e8f2634 · outbound

This paper cites NHTSA Releases 2020 Traffic Crash Data.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment NHTSA Releases 2020 Traffic Crash Data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:43.822720Z

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.

source=pdf_text observed=2026-08-07T14:52:31.625585Z digest=sha256:aae363bf85c8fabc015959fb72c5ced3613f126270bb85b918d03838fd9ca572

Observation 20df29fc-142e-4d68-b326-1e25536a4d95 · outbound

This paper cites Summary of Motor Vehicle Crashes: 2022 Data 1 Summary of Motor Vehicle Traffic Crashes Key Findings.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Summary of Motor Vehicle Crashes: 2022 Data 1 Summary of Motor Vehicle Traffic Crashes Key Findings

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:43.657533Z

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.

source=pdf_text observed=2026-08-07T14:52:31.681673Z digest=sha256:0e05df4a5c5525f54eeb655aca0fe7f02f280a1cd42201a350651b22c1b89edf

Observation 63792e72-bf22-40e4-9be9-88c899e356d5 · outbound

This paper cites Road traffic injuries.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Road traffic injuries

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:43.505362Z

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.

source=pdf_text observed=2026-08-07T14:52:31.805761Z digest=sha256:7790d0be7d07566e73b3c910928a72199f92f9db04e3e945dd7a4447257b9563

Observation e36de491-a284-4fb6-804d-06a2498378f6 · outbound

This paper cites 68% of the World Population Projected to Live in Urban Areas by 2050, Says UN.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment 68% of the World Population Projected to Live in Urban Areas by 2050, Says UN

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:43.346587Z

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.

source=pdf_text observed=2026-08-07T14:52:31.886291Z digest=sha256:a7e874401c063ff6cb99bcfa03e763ed0efe5bd4726709788f33fbc8b58757cb

Observation a774ea8e-1d50-46de-84f9-8fb3c49c25e5 · outbound

This paper cites A., Ramadan Mazrekaj, & Hoxha, G.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment A., Ramadan Mazrekaj, & Hoxha, G

Reference 12

Resolution
verified exact
doi, observed 2026-08-07T14:52:37.815621Z

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.

source=pdf_text observed=2026-08-07T14:52:31.961033Z digest=sha256:300d411d526006749f03dc6350d4bbddc4754a06bf0f768f2605e90fea37ed0f

Observation cbcccce2-6ff0-4bd8-a8ca-511a742e1478 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:52:40.199610Z

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.

source=pdf_text observed=2026-08-07T14:52:32.039349Z digest=sha256:9a75994bcdbce154a184a5550c8e917872a307eb8f76ac4215e2773e48c3c495

Observation 204b56ad-a9f6-4ce0-870d-e46198774084 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:32.128040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:32.128040Z digest=sha256:24802afe40e8bd8a9e1386f618358f5f47c7f15532a4cb0ea4cffc33cdd065ae

Observation 97012aef-e6d2-4b60-9938-7930f6e59b80 · outbound

This paper cites Www.scats.nsw.gov.au.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Www.scats.nsw.gov.au

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:43.183674Z

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.

source=pdf_text observed=2026-08-07T14:52:32.178999Z digest=sha256:40edd85ab62e90b9af6637f5008afe3c1d17a00c7807e4b101ab0565f69e86d1

Observation bc8a338f-87cf-4e13-850d-5b89b9e2f46d · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T14:52:37.638999Z

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.

source=pdf_text observed=2026-08-07T14:52:32.238549Z digest=sha256:d46d9b8ea3951764f026589d7c76872e8e75710a982929acb34db5bfa0ddffae

Observation 82678fd8-e50e-4f71-a95f-562724754b77 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:32.312565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:32.312565Z digest=sha256:84d8cef7d8a0e78637a79abe3989b726de028538a4060ff014a4a841a00e315a

Observation d845d59b-c8ef-46ad-bad0-89385a32fd37 · outbound

This paper cites CityFlow.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment CityFlow

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:42.972900Z

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.

source=pdf_text observed=2026-08-07T14:52:32.434094Z digest=sha256:088bb66aec84f6940c9f7706fdc300668cf0afd53e2c4fd06ca5033f34172e77

Observation 84094962-587a-4d3b-9a48-e2c4a329e68f · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 19

Resolution
verified exact
doi, observed 2026-08-07T14:52:37.459954Z

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.

source=pdf_text observed=2026-08-07T14:52:32.504852Z digest=sha256:4b3de046419e3ac9b47fa72aa8134658c105764707f4c9fed5bc40aa2fbb88d1

Observation 6f3f40dc-4406-4320-84f2-ab6a2a3c8317 · outbound

This paper cites K., & Talebpour, A.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment K., & Talebpour, A

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T14:52:37.252715Z

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.

source=pdf_text observed=2026-08-07T14:52:32.573552Z digest=sha256:9fcb9a932d5f56a926daac7ab01bf1500fe1cef02c47595113a217194e973866

Observation 2e8e32b3-4ae8-4dbb-bd79-cb3d029d174f · outbound

This paper cites J., Arjona, J., Linares, M., & Casanovas-Garcia, J.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment J., Arjona, J., Linares, M., & Casanovas-Garcia, J

Reference 21

Resolution
verified exact
doi, observed 2026-08-07T14:52:37.079068Z

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.

source=pdf_text observed=2026-08-07T14:52:32.638060Z digest=sha256:5e00871bdd911bcbd24135b48873dc5278ee625e99278a21dbef65cb7e1e9fa7

Observation 5d28f427-fb7d-443e-834e-7fe28fcf2690 · outbound

This paper cites (2018, May 30).

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment (2018, May 30)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:42.777120Z

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.

source=pdf_text observed=2026-08-07T14:52:32.713824Z digest=sha256:6f1a773fda952a1166b0a31653b2259092d8e04977d23a010d6efbb1317aa7f9

Observation de63ec92-083d-47e7-806e-3a749c92134f · outbound

This paper cites A., Abdel-Hamid, Y., & Hefny, H.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment A., Abdel-Hamid, Y., & Hefny, H

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T14:52:36.893529Z

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.

source=pdf_text observed=2026-08-07T14:52:32.805872Z digest=sha256:6cf4ba18f9ae35bcf39f43a5930a332ed83d5c5e69c79c663e8aac964472bb3d

Observation 760ee323-a774-4871-bdb1-4293e1021881 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 24

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:52:39.801644Z

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.

source=pdf_text observed=2026-08-07T14:52:32.858917Z digest=sha256:eb2da13d464ab7b017a717214eaa277fa10fc6c7fcf3d9e056be5efbef612506

Observation e462b47e-21dc-4adb-9f6f-cb29a52fd070 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T14:52:36.745161Z

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.

source=pdf_text observed=2026-08-07T14:52:32.930937Z digest=sha256:c94c432ea7861e261e060e7b671981b08fb0839ab0c31bde7b71d848d4b7c487

Observation 697cdf16-9cb5-4f24-8285-b69f0ed5ce61 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 26

Resolution
verified exact
doi, observed 2026-08-07T14:52:36.561794Z

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.

source=pdf_text observed=2026-08-07T14:52:32.993163Z digest=sha256:2b00aa4beeea9d87213cd99f6903d58fd664e83625eea68c45cfee10be1728b6

Observation 4a9b882a-8525-4c80-acd3-f60ddb4bd516 · outbound

This paper cites G., Machemehl, R., & Perrine, K.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment G., Machemehl, R., & Perrine, K

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.065991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.065991Z digest=sha256:5c16277507b8b3e2b7c655beac244effb6f52a7a9795f920193f5a764231d0b7

Observation 4155e300-bfbc-4683-be57-ff070b4e7f42 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.138823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.138823Z digest=sha256:d589ae1e332a671b3fb9bc40d2aeaa8df5fdfe51924363c009613ba39efac024

Observation 580cf4db-d459-4d9a-a44e-abe69b5bf158 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.196552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.196552Z digest=sha256:abfc23d6726a07ebda5d52e2c0d67bda5ec8f5e458740949682ab78bed733898

Observation 75ed7340-904b-498e-b3ea-f50b1a064b0f · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 30

Resolution
verified exact
doi, observed 2026-08-07T14:52:36.354785Z

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.

source=pdf_text observed=2026-08-07T14:52:33.296672Z digest=sha256:95eb410c3db40ccc7f51ccafeee37543567fd65af01f1a6eafd5cf996d8797d3

Observation fa045768-1efe-4c03-beaa-4fcdf6cf2ead · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.403747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.403747Z digest=sha256:e1ac2d2da3158172a853789c06aeda35650ce4cfa69e43cf072939f24a4da846

Observation c272a6ee-eb23-4b59-88e8-09f831f4d13d · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.471366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.471366Z digest=sha256:f2f072c6d9531913eff7481ff1875edc61b59b2f93b1a7137f0cdea54c5f956c

Observation 697b9be8-3eec-43de-930b-e5210989173f · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 33

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:52:38.972252Z

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.

source=pdf_text observed=2026-08-07T14:52:33.563282Z digest=sha256:3edf246ef4997b7d0e50ce10ce34e56943fd8cbe6ac590952d9757ebe69074b8

Observation d041d5ff-a133-4a2d-8c83-fbb71c85057b · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 34

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:52:38.694019Z

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.

source=pdf_text observed=2026-08-07T14:52:33.657695Z digest=sha256:ff2a619116be745337730e3d3aa36ad7c4bf9b52fbc86a4e604ef14fc581895b

Observation 3e83d50a-ad81-4a66-9b69-5461fb82bffc · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.740425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.740425Z digest=sha256:5c23cfb5c2f9d3c78bbd379708f3370b671777a2a4ca76c4e576f5c7a53b2e32

Observation 794be2e8-8291-4c57-b8ab-38afa920729f · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:33.833740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:33.833740Z digest=sha256:e47bead88e2da3c21481adacf7e51f5399c917ac030dd6caae48851876bc3631

Observation 35898cc6-cf1a-440f-bc7a-008ab29e03d1 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:42.652628Z

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.

source=pdf_text observed=2026-08-07T14:52:33.930181Z digest=sha256:58c846d5672ab7bc676f5a9f175a1513a9d05df486e8a65d7ce2560f1a78090e

Observation 4ecc2950-da7a-4569-9554-c38ca86e883f · outbound

This paper cites CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:34.110336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:34.110336Z digest=sha256:2defbe0cab2a2470339cc841111536af21b2d5df89a22f7cc8280318a37644d7

Observation e426a247-52a0-4e19-9f9a-ad054f5ac4d0 · outbound

This paper cites Traffic Simulations Software: A Comparison of SUMO, PTV Vissim.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Traffic Simulations Software: A Comparison of SUMO, PTV Vissim

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:42.467122Z

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.

source=pdf_text observed=2026-08-07T14:52:34.192072Z digest=sha256:6bf888f9c0c4f7631c126370b2a3d83830b3cbb4a6684ee6dc503dfb666deb26

Observation a9100321-e6f0-4084-907b-4e546d11b511 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:34.320820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:34.320820Z digest=sha256:08a1cced6595ed3d74de6b179cc06ef7b4c50315f0ffbf8dab5df122411a6a60

Observation b1c590a5-f255-4abe-a082-7c8a92a4c3f8 · outbound

This paper cites (2021, March 22).

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment (2021, March 22)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:42.297666Z

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.

source=pdf_text observed=2026-08-07T14:52:34.448988Z digest=sha256:47f865dc9be41165555523aa22548b757a6a9d283bf0760bc144575272081f75

Observation acc59700-2109-42ad-a083-1b3e9e5fad55 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-08-07T14:52:36.170709Z

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.

source=pdf_text observed=2026-08-07T14:52:34.539684Z digest=sha256:637efd9c90c10fd04e56833405bcbce6b3c315b178ef592161f6ac29a5d79f52

Observation f1d5fb39-98c1-4707-bc27-9e707c47ae4b · outbound

This paper cites 3D Traffic Simulation for Autonomous Vehicles in Unity and Python.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment 3D Traffic Simulation for Autonomous Vehicles in Unity and Python

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:52:36.005888Z

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.

source=pdf_text observed=2026-08-07T14:52:34.667004Z digest=sha256:eb2c8c4d795ce23ed690e91dd3d1c80ab86272a1a64e807bcb1ea9a788327486

Observation a96796d7-6aca-44dc-8721-a7e4ad8070ef · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:42.142126Z

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.

source=pdf_text observed=2026-08-07T14:52:34.760660Z digest=sha256:dc02f931da6aeda9c985249cc2622d4560e6f85443c33b231724384f4df6c166

Observation c498089f-38ba-4e46-81a9-20eb73ac1137 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:41.959415Z

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.

source=pdf_text observed=2026-08-07T14:52:34.844677Z digest=sha256:71ea2659980c16a862e29a27871953ee1ff1e4a4afd8a26de31127c2456dcdc3

Observation 863ed677-dee6-4a54-93b8-f602591de256 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:41.704769Z

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.

source=pdf_text observed=2026-08-07T14:52:34.971169Z digest=sha256:9dd90cf329d7f975fe7896bcc75d15b7328c8f6737b294fddbb78154b3b66d35

Observation 850d4cef-56a8-4fb4-ad56-d728ff443516 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:41.515457Z

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.

source=pdf_text observed=2026-08-07T14:52:35.090753Z digest=sha256:7bf40d6b868a81374064008e931b0607e0a3e2c029204fc9c55e5068b7f6c205

Observation ba5168b8-fc40-4c33-83dd-6118be43fd5b · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:41.337770Z

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.

source=pdf_text observed=2026-08-07T14:52:35.216709Z digest=sha256:aa0a675f1c3be40f3564b64049fab6c4d919228f0c3c7822d4acd5ba9a37699c

Observation 14987b4d-764b-4aab-a3dd-9d8138281c3f · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:41.165438Z

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.

source=pdf_text observed=2026-08-07T14:52:35.377375Z digest=sha256:fe57f16ee263096e455d68e45da94168c7d7e6e9f97d5de89b7d59c1f98e7632

Observation 37289648-b1da-45aa-9042-260994f1e6ef · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:40.920159Z

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.

source=pdf_text observed=2026-08-07T14:52:35.510733Z digest=sha256:1450d8235e91aa3b52f7377152ab86b59dcc5246a8f325c9241635d72f80fe60

Observation 92b7716d-c271-4825-9e4b-37cc4ef5553a · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:40.743311Z

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.

source=pdf_text observed=2026-08-07T14:52:35.619460Z digest=sha256:85dbd6c82c3788bad61c4953efc49369ad6d334e2a29885cdd32a47ffd25ec22

Observation cdb63a27-fa1b-42ec-bc48-73028b904a84 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:52:40.517902Z

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.

source=pdf_text observed=2026-08-07T14:52:35.708680Z digest=sha256:c6a14465475470db583ed6dcdef75747d402477cc207088c60f3fc184795e424

Observation a18ec4f3-5d34-4708-82f6-455d3735d365 · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 54

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:52:40.364735Z

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.

source=pdf_text observed=2026-08-07T14:52:35.771381Z digest=sha256:ad4bc76a00af334cb4228d21dfd249232257f7c3d054b88173e67559c8ed30a4

Observation 2e1e31e1-ddec-4a79-afc5-71bf5aefaa0d · outbound

This paper cites an unresolved cited work.

Safety-Prioritized, Reinforcement Learning-Enabled Traffic Flow Optimization in a 3D City-Wide Simulation Environment Unresolved cited work

Reference 2097

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:52:38.315214Z

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.

source=pdf_text observed=2026-08-07T14:52:34.005956Z digest=sha256:50ddc6995eaa73666c8296f3c43a4975f92e8a6a18f8c1c068591e048fb0a878

Pith citing papers

No inbound Pith citation observations are available.