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Paper Citation Record · LEDGER

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong

As of 9 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 2026-08-09T06:31:02.800959+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

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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:da2e8acfd54d57e4e352a52092575927a697acf2b56969850a1585d275f34bdd

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=sha256:3f52b7001969d3be3faa533de3d3c4b170fda0f7afe484ffb39cbf69621bff87

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=sha256:47584894da77bbecad2c549d0f5c7fe4a28e509a6f78fb670b80fab1eec44697

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.590987Z digest=sha256:4f3ce37f369e69dc378ef65e64e1e0e2da5f3f7667754e4d2a08737b929dbc63

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.596482Z digest=sha256:f51c8b59e4dee685e2659e6e16153959b9e6b488b5412fb1f8196401d86f9d87

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.601094Z digest=sha256:29c33be2e59d772c7a4afbdb9fc65c6ad3f281542b2e5a78dae3be6ba6a52110

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.605671Z digest=sha256:f77fd214df4d1cb1ba68889ff6df9ff3033f7628011b9b2e8b9132007123d0e0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.609774Z digest=sha256:415827b91faaf95fb5132053cc6ab4e638e352b0415389ce765f5150ba8a4e8b

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.614785Z digest=sha256:6feed2cd5addae76729d9c3d56fe7f65e7832ec3f55ebed2c532e12376a396de

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.621411Z digest=sha256:df3dcb4451a5e0d831e4013bb0d1412733652fbc13b5cf2d00b6cada31dfbce3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.625923Z digest=sha256:0f0469be4c99cb5c6fa98bf96dcd6d3a3b0be478368177d508af668f745b9c4a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.629861Z digest=sha256:f4ee4c1f300c805e6b61b6619335f31964f706a578fd8fcdb3be71ca4fdf717f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.634269Z digest=sha256:64923b67533e2be88f4097cc7d5656e1a2ab6006a23e6bb35a9e4a297685629a

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.638142Z digest=sha256:6cda6124a7bfcc7e0764e9ed53e15328d04acfd404fb7ff444d26517c3611aaa

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=sha256:8d163849065c2e2cd179a9ff131c7606363b7e769e9adda0ccdf0e8ae625420d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.648012Z digest=sha256:831b4386618bb9d08a98c15fe22e5bfcbc6bcb353ad95a8d4a9ec9def48b216f

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.653309Z digest=sha256:3711b0d45f40fdee5c3fd76910f1a9bc554ee035049a586cee26208f222c63c4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.657360Z digest=sha256:6bde66deaf1bd93edc7f3c55782867125ad77aabf23a2a25e8149bf9ee8b96d5

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.661250Z digest=sha256:3ddb1239b35e48d78ec32d3e5426d1560d5012a530abe345d64672aa83fba9c2

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=sha256:0fccb071cb139a179d8c19ef58a55bbe754a1c4f83b83c2ff7866181d6c5dc39

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.670759Z digest=sha256:3b92c25f3e85c7a7163ab84d97bb3199fac63b09492e8f0dbf4aec6854789049

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.674784Z digest=sha256:36a1f8f134bbde718c1db3a9b8a6d6a15ee713a17ac187aea801cb7dfdbb296e

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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source=arxiv_source observed=2026-08-05T22:06:19.678869Z digest=sha256:1da02bd9738f8a5a59e05e5207023a43100071aadcea42dee947aa7ae037dc9c

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.683598Z digest=sha256:725b20c75f831b4ffdb74c4ca0e94df52412f0560308ce14a52f883ce4c99910

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.688901Z digest=sha256:51df4aaf56fc48a0893550e0612100a6c4e9e6d05428063ce4ffc09400c6c00d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.693641Z digest=sha256:24b1d10eb1234058716038473b42ec9292e912337a350d55aaf30d3dd9074af9

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
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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:f7e05aec8d1a274f4c177eb05b2b630a265a16bc22bf6730668769358e25f8e5

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
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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.707336Z digest=sha256:59b1da69924179a2861afed8ebe3d7062ffaaa6ed644a746284d82e23f9fd5fe

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
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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.711302Z digest=sha256:1ba37b4d7f27816e0235a48142f7104c2d72d28fc9da1db39ec5487181ee8fe2

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
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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.716743Z digest=sha256:7f7cd64bda08a3aed4e9e10804947c64c6749dbb9cff2f53b51e7f2be022b161

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:06:19.720984Z digest=sha256:e5e5eca52403bc159660a20f2e30ae753492b92ed3d4785ee746e76753ad1ef2

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=sha256:509a0c92d8687d72f630b5e514881300a1357abd13eb5cbb9db9e26cc27a7939

Pith citing papers

No inbound Pith citation observations are available.