Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.177115Z digest=sha256:1cb8cb38869aac3fe5de57b02c024d6588100c459b54efc517ba13a13ed8a450

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.221729Z digest=sha256:65c4e4e3f04b916f35d8afe468baa527a3c0355f2f174dbd3ce3ac90c51f7f3c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.303552Z digest=sha256:ae34d203355e86c93df625f0057e969587dcee1e216b3a758d825594090bccfb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.383206Z digest=sha256:606f5ac368483695d73aab1403aef81720008d3def8fe8954cd6c79d61f493a6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.476253Z digest=sha256:eab89d5e478f15eabd323b5f9a8c0d059ac366a56c5fe16dd9b29f10ca906db8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.520382Z digest=sha256:2ffa1352076ec3c5044075314232907b6a45817a359cf82eeed1b7d924d84b94

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.572207Z digest=sha256:71f46b0c38b02a99575f7c705c2373b92ddc60cd3cf425611cd8d70679327725

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.625585Z digest=sha256:08c69b08bb933f5ec6f9a4fd3a238ef15d8917dcd6b35f97f5aee6f5231d550c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.681673Z digest=sha256:58c88cf4f9c8eaa145460e26a4f56ac20b0ba7b318e0ac6bf28ee3bc1ee2d59d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.805761Z digest=sha256:62580030de0fde5d0729e0906dab7c38b15df95432ae20652f2be2f0d7a24ca2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.886291Z digest=sha256:0933b7a190b58f02a7c0c92d3030bc075c6e59ff9a9d724dd92f2dc69d29e688

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:31.961033Z digest=sha256:3a70234ebc4f85e61d005edd8b597cdf88bd9e90d403d01f96c733252eea7710

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.039349Z digest=sha256:4274bdb793188d2585ec4695c2c1ba6c2704f35cec636aeeebbf2d47adbd1066

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.178999Z digest=sha256:2de98ca12421f3c7055486579deee368bd832449f53915975ff3af7073871694

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.238549Z digest=sha256:099831823007fbe62ba947007e05819a4d480186cbe2e24f65b35bc16ebe5852

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.434094Z digest=sha256:adc4dbef67afc6630fedda1100a1a8518ff12035103bc84d2484d79bd922ade1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.504852Z digest=sha256:c4a2ef5e436f90fbfbb0b05bf2a1114536e2af2bdce3e4624d1250381de05002

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.573552Z digest=sha256:26644c0a9a85972468782c6e2ab28702ea1733f5dacf8cb9a1ad1260502f44da

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.638060Z digest=sha256:59823bf38adfcb931214e7fa28a3788f55eee93837e43cbbef522ce3d8190825

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.713824Z digest=sha256:78c913db470a923953742285b202ad10a15fb62358b216632d4ac73a51790877

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.805872Z digest=sha256:459aac868f989de85dfe925306da4467321fe965c99b16bd56c0bf643ae762cb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.858917Z digest=sha256:3b5c61ed82616929490e531b2d802a9348c343fee002f32eeebb7e8283cfeab5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.930937Z digest=sha256:7ad9f0d8ea21d62138089c65ade813669298538bb13b5279ba871dc16c90c227

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:32.993163Z digest=sha256:d77885558c343758e1a0192a49b73e2021f65f3c106f75a6e9703f73671e9ce4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:33.296672Z digest=sha256:f2254d5bd5e5a0c31eda76747a0aac9b8ab43235fffcf7dfffed266089689bc8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:33.563282Z digest=sha256:2c01dbe8ed4164719df9f88410eff74913bee4fe1539930fff2e622e9cef37c8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:33.657695Z digest=sha256:a14cadc802af76a1f3100653997a4655253dcafe576d2e1b3a149d575a43c72e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:33.930181Z digest=sha256:beed0b9ede39b997ceeaecfa3328a819245fb2e25b8d10dc82c0cb1563c9e191

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.192072Z digest=sha256:8438cd6726cca546a034d6bf73b65b77547a2c707737c297aa3652dcce560ed2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.448988Z digest=sha256:53bfad89bcf815c8d258282c6f1ef93b0bb160c6063e69a664ad984b8d61979e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.539684Z digest=sha256:90a2ae1bdbe1825cc8be3e34d367048fe8d582565f546f3c27368174a69ec6b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.667004Z digest=sha256:66fc35ae80f0029bc149383ad4c887854aad0c08e586f68370510664b0345d02

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.760660Z digest=sha256:efe837dd5e4373b18ee234958899edc905dc218f5ff97cd7b36f994df7d6e814

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.844677Z digest=sha256:28619df360823f6783de1387a4eedfcf052f1eda00dd32b553dcb03e402991cb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.971169Z digest=sha256:d54523da62dddc5128d6723e5d8ef217f89cd3eb9db3af265c341f5f8e0e8cdd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.090753Z digest=sha256:6b262ab5efa7d8e24155132971233598625f6ec3343d768f2d670f5af3fa24da

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.216709Z digest=sha256:5f65f76143bd8373dd7c7b95eba20c1aafe6b7ea0c4b0308c8393b254b581b60

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.377375Z digest=sha256:9293efd21824c8319ed4d72af4e346a5a5ba73ca7e8305b0baa0bb9211ff38fb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.510733Z digest=sha256:4ee278797150046ff4b19f27889ca85e8e374ff38ed2a2910957e5346b17a1bc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.619460Z digest=sha256:38116727e3aa33c5f321d92812432f07d44a8492141396c5c933b150d7e927d9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.708680Z digest=sha256:55b75db2fc61a08b50bbee288a8cd637c610d733cb54650d997b53526e904335

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:35.771381Z digest=sha256:62e42577e3cc2e6f0784207e032faf1e151428e6aeccca409e47adaa0d66e00f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:52:34.005956Z digest=sha256:b4ed31f8ea21125906e15ccce0adbbf6d0e24088c277d94eb8293692591e64a5

Pith citing papers

No inbound Pith citation observations are available.