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Paper Citation Record · LEDGER

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2511.06229.

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

pith.paper-citation-record.v1
2511.06229 v3

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T23:23:38.957539Z

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 0e82afcd-6d6d-48cb-95f1-99bf8e8e4d0b · outbound

This paper cites Diakaki, V.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Diakaki, V

Reference 1

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Observation 677ce0e9-a148-4977-be2f-048be66e4ec7 · outbound

This paper cites Li, and J.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Li, and J

Reference 2

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Observation e5fee026-0986-460d-8618-bb1ce2f4fd26 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 3

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Observation 0d7bf459-9bf5-4494-abf7-e84f6810ab12 · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 4

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Observation 222b3e58-b069-4a3f-83f2-f063585c9a79 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-03T23:23:33.074591Z digest=sha256:3f9088e5afa6464b50ae8bbc2252c98a521abfcfb6cb9e8541229b05a6af9a49

Observation 5fb3a231-b8ae-4d04-902c-e9b5b45eb3e8 · outbound

This paper cites Markou, and C.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Markou, and C

Reference 6

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Observation dd10f324-50f3-4517-b3c7-a10ee41de6da · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 7

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Observation 0b67dae1-1c11-4342-a5f5-544c37c5ac69 · outbound

This paper cites Dynamic Origin–Destination Matrix Calibration for Large-Scale Network Simulators.Transportation Research Part C: Emerging Technologies, 2019a.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Dynamic Origin–Destination Matrix Calibration for Large-Scale Network Simulators.Transportation Research Part C: Emerging Technologies, 2019a

Reference 8

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Observation 950d9374-2b48-4712-808f-ea91ef050569 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 9

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Observation 4b0b6997-87b5-4862-ada7-b4cae3b74b91 · outbound

This paper cites Sasaki, Y.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Sasaki, Y

Reference 10

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source=pdf_text observed=2026-08-03T23:23:33.781959Z digest=sha256:962b5e5a1b2c3848baaa30cb3252bb71c2983a15c8237e5587de44717b40f146

Observation d0508538-dc7e-43d9-8887-f716a82ce8ca · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 11

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Observation e3475b7a-4eb2-4056-a88f-63b30d2b56f0 · outbound

This paper cites Montero, J.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Montero, J

Reference 12

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source=pdf_text observed=2026-08-03T23:23:34.022007Z digest=sha256:ad3f3c641e6585751446fa204d76201e1100daec6f27bf3d13684cf6699a6794

Observation ac029355-c2e1-41e5-a391-e269211abf9d · outbound

This paper cites Antoniou, M.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Antoniou, M

Reference 13

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Observation 00b0058d-2073-49a2-8db4-fef59dc802eb · outbound

This paper cites Osorio.Efficient Offline Calibration of Ori- gin–Destination (Demand) for Large-Scale Stochastic Traffic Models.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Osorio.Efficient Offline Calibration of Ori- gin–Destination (Demand) for Large-Scale Stochastic Traffic Models

Reference 14

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Observation 5f2bb943-9c49-441c-8755-6c471ed344a0 · outbound

This paper cites Kesting.Traffic Flow Dynamics.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Kesting.Traffic Flow Dynamics

Reference 15

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source=pdf_text observed=2026-08-03T23:23:34.495701Z digest=sha256:5e3c9e6366bd7e73a258072adb2861ff4d0e545228623ecb1e290f4d71863966

Observation 32b48692-4065-46df-9ab0-7afd4100d08a · outbound

This paper cites Steps toward Artificial Intelligence.Proceedings of the IRE, 1961.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Steps toward Artificial Intelligence.Proceedings of the IRE, 1961

Reference 16

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source=pdf_text observed=2026-08-03T23:23:34.701459Z digest=sha256:727f5baa2298cc34eafe4fe58a0886132226c558c6baa7000203c481925373c3

Observation 5718411b-dbfe-4b54-a177-6b9c5b198636 · outbound

This paper cites A Survey of Temporal Credit Assignment in Deep Reinforcement Learning.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment A Survey of Temporal Credit Assignment in Deep Reinforcement Learning

Reference 17

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Observation 7b627236-2461-4c79-a5d7-b27b5089613a · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-03T23:23:35.057615Z digest=sha256:eee7df7fd4d80d9790b7d5b3d0a3890b3af3feb994ae26c5ae4412f21afddd9f

Observation 8789beff-5f02-4c6f-ae53-c11b946c3a5f · outbound

This paper cites A Brief Survey of Deep Reinforcement Learning.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment A Brief Survey of Deep Reinforcement Learning

Reference 19

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source=pdf_text observed=2026-08-03T23:23:35.220835Z digest=sha256:72a42baa3e53efa47288f00c471f594491f02c1a012b01cce3aa68f78ae2f110

Observation 1049e798-0652-47aa-92d2-21e7a3d1d942 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Proximal Policy Optimization Algorithms

Reference 20

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Observation 12ef41fb-f7b9-4593-8bc1-2bc593182898 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 21

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Observation 1fa94b80-8582-426b-88d9-1a821197fcea · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation ca59cad7-284c-4b44-877d-08103acce6a6 · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 7b413353-06bf-418e-80b8-9aca7a7ecfa9 · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 6a958d6b-f35c-427a-ac66-5305f62290f5 · outbound

This paper cites Inaudi, and G.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Inaudi, and G

Reference 25

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Observation 8e1e8422-0889-4a9b-9299-aa168721621a · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 68a46a14-794c-442f-9fb0-91fec737971c · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 86d265f0-ed73-49f5-aff0-9f84de8db72e · outbound

This paper cites F., and J.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment F., and J

Reference 28

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Observation 0317c9b9-e440-4174-8c4e-f1ae8fb5ee58 · outbound

This paper cites Gu, and M.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Gu, and M

Reference 29

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Observation 1e1017ee-65d9-4539-bca2-99304ad67cac · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 46b76a8b-96d2-46d2-b48b-c39b83c678ef · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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source=pdf_text observed=2026-08-03T23:23:37.037920Z digest=sha256:3147728ecdf45608773eeecff817f2c2ed8e6c30cf659098f8318c698009afca

Observation 587cb204-7748-472e-8200-198113e4dc4d · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 43e9d9b3-e035-40a3-b35a-604b93d6c33a · outbound

This paper cites Van Lint, T.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Van Lint, T

Reference 33

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Observation a559974e-e483-4f8a-838c-6a247a58d46e · outbound

This paper cites Khoshkhah, and A.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Khoshkhah, and A

Reference 34

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Observation c2fb4ad4-7816-4cf4-889b-f5edcbf8bbcc · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 35

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Observation 880b8f0e-dcf1-4ecb-b347-458262dd4e5e · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

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Observation 50f11dea-88df-46c7-ac0b-33cbfb6a2074 · outbound

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Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-03T23:23:37.795580Z digest=sha256:a22cdc5cfaff1c1f80d7b6ae795c7947e3ef620fa3475fde362b446f9642b8c1

Observation dd34e80f-48f7-4560-86f1-60587a2fe5a0 · outbound

This paper cites Value-function Approximations for Partially Ob- servable Markov Decision Processes.Journal of artificial intelligence research, 2000.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Value-function Approximations for Partially Ob- servable Markov Decision Processes.Journal of artificial intelligence research, 2000

Reference 38

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source=pdf_text observed=2026-08-03T23:23:37.967122Z digest=sha256:0e06af7d877c01035018a5f850fab551f0e79da62457d234d65ff2a33470f770

Observation 4797e490-440e-4379-b6a8-0fe66b5ef3cc · outbound

This paper cites Liang, and N.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Liang, and N

Reference 39

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Observation 80366d07-d79d-4e8d-939a-76be2ab7a8d2 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 40

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Observation 40811562-c89f-4b5b-b95b-9d9d01ee8089 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Playing Atari with Deep Reinforcement Learning

Reference 41

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Observation 5f782bc9-7730-4c92-9a0a-c28f9349ef86 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Unresolved cited work

Reference 42

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Observation 6a747b68-069f-4769-a3ff-4a131919dcbd · outbound

This paper cites Springer, New York, 2010.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Springer, New York, 2010

Reference 43

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Observation 38c75a37-918a-434b-a8a4-071d03487b52 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment A Tutorial on Bayesian Optimization

Reference 44

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