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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.177115Z digest=sha256:8e1f41b5bcd1bf721b162949cbceda9dc1fe57e829e59a26c56275ecc4d34eaa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.221729Z digest=sha256:b3081387c7187c27db0e61253f26c31a4abbe4f6c444e8f16933418bc06cd6c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.303552Z digest=sha256:f4901b2b4893f1a6b7a91c388fe9e2ddb3c8c1c699a1d5de99c7102251146148

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.383206Z digest=sha256:f2f7310e6db78965d3340e1375b92302da338d6ab7aae18f3514548cbcc6b1fb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.476253Z digest=sha256:6f7a3d8b17572523684bb44b8a622a8d728b7e7c65d3675365dbfa44e7913e70

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.520382Z digest=sha256:b8f46bbb7013115bef77b5f3b9910fa454c9f0620c17b3c82f8c3d98e841dd1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.572207Z digest=sha256:577d3b0ef17fb06d735fceff68462e9d3ea6900e6e6ecca2d0e441ffa8e3729c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.625585Z digest=sha256:fa65e787db4baa063307386ea231d15bcd0661112e5d1432d130a4b1c15152ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.681673Z digest=sha256:d4003b9d647336eb6a624b85c830a27790e5e9294132cf457c7cd03ed482be49

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.805761Z digest=sha256:d77bbdb6ad7076c67c12ac34099bb91337ffa89aab29a6a65a21327cab43a963

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.886291Z digest=sha256:2a7adb562e13e106fbcb88dabaf639e3d2280b75464f047616af4cc758a0157b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:31.961033Z digest=sha256:444ad5f777ed13022c24dfbe752c8b85573b12d4619ad8fc70092cae0c96bebf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.039349Z digest=sha256:cb9f0256031d75e01934ad4b99193f20196509f2032b349084ed15996ae47ba5

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=sha256:8a33481266eb5cb476b3cde42935cd14471e7570a2f5ea3949fa061c6cb8ffa6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.178999Z digest=sha256:35624bc8bf5d7612edfbed326e13df3c3da28478638c2541191e280ce13250bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.238549Z digest=sha256:18ac7a6ba98aca0e1dd455733547d2f77f21f7b336922c51f1818d0d7d9b8206

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:a604e1a9af88a6c27a4b031d2678735c4caecd304f0aa4d34e5d321258af0ab5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.434094Z digest=sha256:470f975fcb149821ff67483ce88bf4dde15cae0c33a03d0828e0c3b017391bce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.504852Z digest=sha256:dd363bdcb6629c15f178725cd8ae02d3056023f428f89534990ebf877a27478c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.573552Z digest=sha256:7f3368eff8bf52968d4ce182e5feb29de4376c1f70674859644d64e08b305e69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.638060Z digest=sha256:73e5227cc82c9f6431dc4a7e75d3d4ee403c51362594891ce11457c4bfb79f61

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.713824Z digest=sha256:89023356a3942024121f3e9a406266b754073468ca021de7dfdf898fd975e3f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.805872Z digest=sha256:aa3b4533585e2623600e2c3cbcf2b80cf7d63e608e35f7dbfd364f44733f311f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.858917Z digest=sha256:3ffddc427e7ed0184e91c9e89c7b780378e8d1584a623708bf8b79550000f677

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.930937Z digest=sha256:e153c7759e4e7967109309e2306caedab84368797cedd04c3809312db8f35509

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:32.993163Z digest=sha256:acb03a2b324cf7e2f3a270f8aba8abfc676859254c1f89eeb046ebfbe0b56218

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=sha256:7e8d38bfe9c913b5980dd2a39c45df6e4325ba10fa57198fee5ce4d8bac644bc

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=sha256:808b2a7e9423410d8e4003b25f1def1a41e9b8449b1df271540919d2ff566957

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=sha256:79e6b3550afa3261795006ad6b611b6a6e9adc1f9bff7d3ee06a9a81cd09e7c2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:33.296672Z digest=sha256:b8ffc58f68ec074508b3557a987d4cd0060e80f4a4c3c010de1c4e83a76a420f

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:a3e906a00cbac3a576789db4b9b15b01009806550afe72391bc44a88354d00f3

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=sha256:8d76f5e920a2f0961d405e26950754cac48c8bba00a86629ebd99032ac64d7eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:33.563282Z digest=sha256:ee4444d28089f4aec48bb7b9ed4468028300655e3db084aa9daeaba03a57d3d0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:33.657695Z digest=sha256:15b884f487b95eadd32754fe4808c3ec2a22f4ba178504003cb9eacdcd9d46ca

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:c9bb92d0d3a38a9f243a0a0f7c4de6bfbf27cb24d4ce94c09850ca17ed209402

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=sha256:570d4cb13671da6670de028de57e353f2b21ef0d8cd510c5c7f39b5e13575a90

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:33.930181Z digest=sha256:6ae124db19ba8cd92e913e65da5a0c1e8f145eab1bfe280dec2b4a629dd9a5e7

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:ad1aaa1871873fb29c5a2ae54dbb7d2c62c19110577f99468b531776f12a3c60

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.192072Z digest=sha256:aef517a23b290e85021d7a616f52adf47ea23dcb9009edd3f5eb7ed765d15443

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=sha256:934c9ac24097ecf0424a86b6b6322d1522074633756a97c2ecbbc641429b7f15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.448988Z digest=sha256:0757df989ebce122e7230d54352f1d146bca05863dba0af19a002f03cdea9bbc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.539684Z digest=sha256:93e3d1a173b59dd640b7b1eb8ebddad468bb68d0e72c58020fa59548c17eb1ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.667004Z digest=sha256:8b587c37d46e3c4b294bd4def67fb35e010f6c926f3e01b90c36990311214a30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.760660Z digest=sha256:0e5e67c5513d8d8859038e4aa3c9be9ab86cb7929f40c6aa50a269541ee22de5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.844677Z digest=sha256:a0768aedaed35fa4208316c06304ab58bce365bfbd1ace68af2cf469abfe92b2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.971169Z digest=sha256:e3fc04ef4b4f8cf0aa164e41a286ae7886c9c54904e7381ffff13de751109195

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.090753Z digest=sha256:6a9754e560518c81ee28fa00493bf667ae9276d2fb8198001d7f6052b4588222

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.216709Z digest=sha256:0ec2b8ad372c801101cc833608d4896e0bb2c5d82a8a1c266aeb0ef712078348

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.377375Z digest=sha256:efa2d2f90952aee41804f3d021289f9ee0b871802c53c1a91cd3025a3a75ce68

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.510733Z digest=sha256:7bd2d15dc7f78bf18a0acb37d73b585d3f8d438ceb83c3854b275901beae7f85

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.619460Z digest=sha256:2bcf87c9bebfb5855c92346f3e1fbd921a164a50e4e0ea9fabf218cc9c2589af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.708680Z digest=sha256:456a08212d49dc7ed85a16e18a5cd7301ebd769fafd6bf4078701d305a72f9cc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:35.771381Z digest=sha256:e52894ef04ef185322efbfcbdd1a07ccb6234f679c5d7dbc96259e75e1515de5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:52:34.005956Z digest=sha256:b77e1f8ca40a588dd0c7e9a43f4c55f7c6d34b766762881d2efa7eabb9258220

Pith citing papers

No inbound Pith citation observations are available.