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Paper Citation Record · LEDGER

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.07522.

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

pith.paper-citation-record.v1
2508.07522 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:06:19.725355Z

measured 33 of 33 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

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a43a9db-cf01-4934-8e88-ae332fe10e18 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:19.572949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.572949Z digest=sha256:8bf6277be4db9370b5553119c79673cbc9be4eab35eb3e424043b58fed747976

Observation 3a6b4fab-86c3-485d-b1ca-43edbef32891 · outbound

This paper cites write newline.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong write newline

Reference 2

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no resolver link, observed 2026-08-05T22:06:19.578131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.578131Z digest=sha256:57f14d55f96923516a89d953f3c2088fabd4ce40669841b775306225bfa0390e

Observation f673fe8b-89e0-4bbd-8811-6c630ad2d443 · outbound

This paper cites Policy Gradient in Partially Observable Environments: Approximation and Convergence.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 3

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no resolver link, observed 2026-08-05T22:06:19.583197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.583197Z digest=sha256:f3634fe92712b706e75699b3a6a086423e26e45d61cf8ad3f6e1a893f21f83cc

Observation e65c6451-e9bb-4ccb-afa9-ffbf7d2f1b4a · outbound

This paper cites N.; Chandar, S.; Burch, N.; Lanctot, M.; Song, H.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong N.; Chandar, S.; Burch, N.; Lanctot, M.; Song, H

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T22:06:20.262521Z

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=arxiv_source observed=2026-08-05T22:06:19.590987Z digest=sha256:4e7b0505030e82933a1bb10907203ac38a8be2071699b45f50258078303f50e4

Observation 3dd6b6cd-8dff-4b08-9ec1-c31335eae86d · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-05T22:06:20.249356Z

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=arxiv_source observed=2026-08-05T22:06:19.596482Z digest=sha256:b5fdf81cb09a0ccd34541b500a61e0a3dda8505084ef94e36442edf13bd329f7

Observation b8c22d9f-a3dd-435b-a324-c93bc731a215 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-05T22:06:20.235346Z

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=arxiv_source observed=2026-08-05T22:06:19.601094Z digest=sha256:0bf3f2ef5e686797ff063473ac1b825e855b389ae5d2a49f2bda5ee8505ce08b

Observation 44ca386a-f96f-415a-97a2-d4e32d3adcf9 · outbound

This paper cites J.; and Hsu, F.-h.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong J.; and Hsu, F.-h

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T22:06:20.221002Z

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=arxiv_source observed=2026-08-05T22:06:19.605671Z digest=sha256:f9a903502c7cf6357d0450d0be797b425a6cfd4579afcb9569c4de34ad43eb42

Observation 0a3cd591-68b5-4ca4-97f2-530055d913da · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 8

Resolution
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raw_fallback, observed 2026-08-05T22:06:20.202797Z

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=arxiv_source observed=2026-08-05T22:06:19.609774Z digest=sha256:f3bcb415e6db5f8d79d959449bcf0336a8b0bb033dd150186bdcf16d35550402

Observation f3f177c9-da66-4de7-a792-46327f72ab39 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 9

Resolution
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raw_fallback, observed 2026-08-05T22:06:20.183678Z

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=arxiv_source observed=2026-08-05T22:06:19.614785Z digest=sha256:d55b90192b0f1f45509e457cb7fbc4cf5b8bf1d614a1b79403b78c4939bc75a7

Observation 9cd2b720-5731-40dd-8a16-edb88ab4ab7d · outbound

This paper cites Building a Computer Mahjong Player via Deep Convolutional Neural Networks.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Building a Computer Mahjong Player via Deep Convolutional Neural Networks

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:06:19.848346Z

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=arxiv_source observed=2026-08-05T22:06:19.621411Z digest=sha256:41fd8ec0027d63390af1ec7119212850f8d39691050dbbac03ecd6a0f3ad58fb

Observation ec53b57a-9fe0-4b05-a112-5082b49c9b4c · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-05T22:06:20.166538Z

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=arxiv_source observed=2026-08-05T22:06:19.625923Z digest=sha256:fce75ab2e6e14d0c6a3ebbaf60049c68a4ba3a848a9791c1817def17ea07c26e

Observation 9dd37240-1c04-4f23-a5fa-fd345df98a84 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-05T22:06:20.143760Z

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=arxiv_source observed=2026-08-05T22:06:19.629861Z digest=sha256:52a31dde47501438e3c7b2db4107c9e624e83e5ae3eff5eae119cf7e2cc9dd29

Observation 39c797d5-7315-4704-9715-f2aa49b6c383 · outbound

This paper cites E.; and Moore, R.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong E.; and Moore, R

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:20.128045Z

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=arxiv_source observed=2026-08-05T22:06:19.634269Z digest=sha256:c41c4db6fe63ad850b4bf4bfe12d34903b6702cc1fc7865d41c746699dac74e9

Observation 579b0fa0-7924-4540-91d6-803b63b4bc43 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-05T22:06:20.110910Z

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=arxiv_source observed=2026-08-05T22:06:19.638142Z digest=sha256:169363233412386edadfdbb7060c25ba82bc2db0a5c47b60fd1aeee93d4d4e53

Observation fb2bb11b-4777-41cf-b3ad-afa9c524037b · outbound

This paper cites Suphx: Mastering Mahjong with Deep Reinforcement Learning.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Suphx: Mastering Mahjong with Deep Reinforcement Learning

Reference 15

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unresolved
no resolver link, observed 2026-08-05T22:06:19.642976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.642976Z digest=sha256:7e8b3d1a683d73dab0423a0697775cc52922a18b23e2c1db396433b071e43e65

Observation 20528862-10b1-40a8-83f3-5dd5a0d900ee · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:20.086337Z

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=arxiv_source observed=2026-08-05T22:06:19.648012Z digest=sha256:9ea8e9e2d8fa1327030e8f29c345c30a26ed437da3496365f126d1f8f9e40793

Observation df794138-75c1-4cc4-a5de-2859d94d89ba · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-05T22:06:20.056616Z

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=arxiv_source observed=2026-08-05T22:06:19.653309Z digest=sha256:37b018b537df3e05d61b912025687d7a5bf3aa9a2037aa9b84049f31818bcdee

Observation 1ee38807-776c-44e3-a3ba-f578eff19904 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-05T22:06:20.035141Z

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=arxiv_source observed=2026-08-05T22:06:19.657360Z digest=sha256:1b14ea64b429c9a15433096efb05def743db6b9ebedbc8023f49b48fa620a4ab

Observation cd423828-0905-4edb-ae63-ad76690512cd · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 19

Resolution
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raw_fallback, observed 2026-08-05T22:06:20.017596Z

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=arxiv_source observed=2026-08-05T22:06:19.661250Z digest=sha256:825ae94cbd25e9a09715acc9e18ee6f3070e7f42542f5bfa095dfdfa2e934c7a

Observation 61760fa1-5dbc-4315-a79c-89e338149bcf · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Playing Atari with Deep Reinforcement Learning

Reference 20

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no resolver link, observed 2026-08-05T22:06:19.665882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.665882Z digest=sha256:7f1522279d9504a0af2317b86527dfb08f2dd654ed6d8e0a67069643404c3b5e

Observation 0fc0afb9-4c61-4f9e-a990-9fc628248c3d · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-05T22:06:19.997576Z

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=arxiv_source observed=2026-08-05T22:06:19.670759Z digest=sha256:f594e340d03d15e55938301e86ef4d394e76da26a4dd5e43414a87f69c5b3cbd

Observation e27da7b6-fff1-4c5d-8158-1fd6214c0b3b · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-05T22:06:19.983788Z

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=arxiv_source observed=2026-08-05T22:06:19.674784Z digest=sha256:43786d8eefec5f11dd24acc578969bf9fcda6e6b8b85f4e4345cee728bb046c8

Observation 37899805-d3a8-4eca-9aa3-9f73fabb337d · outbound

This paper cites Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Reference 23

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no resolver link, observed 2026-08-05T22:06:19.678869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.678869Z digest=sha256:844b087deae6dc91a5ec3d664b18f7e63367e1dc344cadaeabce573716dc66a8

Observation 73db4a53-285d-4df5-a4aa-357fac560471 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Proximal Policy Optimization Algorithms

Reference 24

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no resolver link, observed 2026-08-05T22:06:19.683598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.683598Z digest=sha256:b0aa00804d08926d3dca6dbb44cb1652ba79ac6481fdb21abef29d1436169651

Observation cbb81428-4b73-4c7e-bed7-9a278061cf1c · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:19.970645Z

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=arxiv_source observed=2026-08-05T22:06:19.688901Z digest=sha256:9010a2e98d608b30f9dccef6475a5b750122638e4eca6d82d5e2d2b58fae78b4

Observation 8639f5da-8882-41c0-b8ed-3e5b53bf126e · outbound

This paper cites J.; Guez, A.; Sifre, L.; Van Den Driessche, G.; Schrittwieser, J.; Antonoglou, I.; Panneershelvam, V.; Lanctot, M.; et al.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong J.; Guez, A.; Sifre, L.; Van Den Driessche, G.; Schrittwieser, J.; Antonoglou, I.; Panneershelvam, V.; Lanctot, M.; et al

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T22:06:19.953867Z

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=arxiv_source observed=2026-08-05T22:06:19.693641Z digest=sha256:5cb4b4a17ab27203a8e11b57afa484ad7275f8404d5c3e875c7dcd9103161e00

Observation 783b6d4e-df78-4688-b664-bf61f0902eba · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:19.698245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.698245Z digest=sha256:ab090b04192f45e6da8d33e188d6c37b0eb9ba6e62645cb87ef8904db3da652c

Observation 2a0ce64e-2f8a-412b-b332-b64aeaf76bd5 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:19.938593Z

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=arxiv_source observed=2026-08-05T22:06:19.703353Z digest=sha256:600f9ad884f184e0a37e7b61075dc3ebd19b1d2a682fcff4e61394f6b12d2821

Observation 64950363-56bd-40c6-8dd2-f1ba83a17ef4 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:19.924982Z

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=arxiv_source observed=2026-08-05T22:06:19.707336Z digest=sha256:d4dedc4828069e8a317d17e27bb6d136acb2899e7ce07613cd482544be7cbd73

Observation c434bc92-8efb-436b-a96d-30709117e501 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:19.910314Z

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=arxiv_source observed=2026-08-05T22:06:19.711302Z digest=sha256:2b228ec41ebbb0794872db2716647971a2a73b8b7a6af52a84a06b09784ede95

Observation e2e95bfa-019a-436d-9551-ec8e27cce4a5 · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:06:19.896690Z

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=arxiv_source observed=2026-08-05T22:06:19.716743Z digest=sha256:5f572052ad50995003ed6949c2c71e0a4bb836f936f556362f37283d5676e580

Observation 6d01c45c-9f22-4b61-bff7-1cdf518d99e1 · outbound

This paper cites W.; and van Rijswijck , J.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong W.; and van Rijswijck , J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:19.881779Z

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=arxiv_source observed=2026-08-05T22:06:19.720984Z digest=sha256:a89dee8f2448122d744e16848de589f4b39b070987b878c8212730a3d3ccb011

Observation f96a14bd-9a50-4777-b947-e6bf8a364368 · outbound

This paper cites Building a 3-Player Mahjong AI using Deep Reinforcement Learning.

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong Building a 3-Player Mahjong AI using Deep Reinforcement Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:19.725355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.725355Z digest=sha256:d5a239624c462ba6a7bef98a871d203d66b3295fc87691c9f2563b75f34b4d69

Pith citing papers

No inbound Pith citation observations are available.