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Paper Citation Record · LEDGER

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong

As of 8 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 2026-08-08T06:32:00.761636+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

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=sha256:62048915a6edd9e3d46f243890bddad5ed1f2ab546bcd8338c9780e0890a54e2

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=sha256:691ab848c23e85af13e2dfa35a0454697da56652f06f682bcc0da4d4ad148d0f

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=sha256:7adb537234f9715c181fb87a6e3e4f33343582f61e7aea1850ced00e4f4b09ed

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

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

source=arxiv_source observed=2026-08-05T22:06:19.590987Z digest=sha256:6b378a85756f2ef19933c1fa96bb02864984a386a61ce7c96e4c3703db039302

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

source=arxiv_source observed=2026-08-05T22:06:19.596482Z digest=sha256:572e573c8078047d9460425c6e84f0f337e9dc8895239865d6411c0202c11c10

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

source=arxiv_source observed=2026-08-05T22:06:19.601094Z digest=sha256:334ef06510c61b11ee91a34b2c576718b89bb9069c5666720c991091d94c8790

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

source=arxiv_source observed=2026-08-05T22:06:19.605671Z digest=sha256:05d75caf691bd13ffcd62c3d0d64061eb2c09037d8f649e580d255da8ffa04cd

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

source=arxiv_source observed=2026-08-05T22:06:19.609774Z digest=sha256:2e688e90e705def1e298dfed7c41fefe768e342a4fbcfc15940ade2bb46d1e55

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

source=arxiv_source observed=2026-08-05T22:06:19.614785Z digest=sha256:da99764a669c259295715be1b3de817137cc0b908cfe419d2f98b006426be5a1

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

source=arxiv_source observed=2026-08-05T22:06:19.621411Z digest=sha256:75f35374898e64894cbfcded94489d088762c27aae49d67120bcd251be9c8929

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

source=arxiv_source observed=2026-08-05T22:06:19.625923Z digest=sha256:65470a8b56d3b785ae155eb13e0d3250dacbeb9eeea1078e87c4687dfdcc5dea

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

source=arxiv_source observed=2026-08-05T22:06:19.629861Z digest=sha256:777aa943757355ef05950b0d8651b77d8aa29c246d0f1bb49f040198137c7df3

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

source=arxiv_source observed=2026-08-05T22:06:19.634269Z digest=sha256:05af007d595029b2c522c1fe3ad02cf28b9d8a0ee1fc0009487b73e8676187c6

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

source=arxiv_source observed=2026-08-05T22:06:19.638142Z digest=sha256:9d9cafd01559526c8cca1d8e2842cd6861d1d86cf1c88acd1b705cb1fda69496

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=sha256:3c10d10795394f58bfb4d70b1a24e82d99aa6bee537709dbdd2ebea1b9658873

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

source=arxiv_source observed=2026-08-05T22:06:19.648012Z digest=sha256:949efc336a12f044e82b764e9d96abbe3739d33e3a2213ac3b9159e02d12a7a1

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

source=arxiv_source observed=2026-08-05T22:06:19.653309Z digest=sha256:b2a360e4913d2f4fb9b5102d45215de29c0cb7ed07dfc2104c358ab097cf189d

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

source=arxiv_source observed=2026-08-05T22:06:19.657360Z digest=sha256:1de11160a4b3ca8662b0b0e0b843499dc32acf8e603c347a74d4a0aef28fcd4d

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

source=arxiv_source observed=2026-08-05T22:06:19.661250Z digest=sha256:c18ca1d1e308315dcbaea87fd571ef42bab3ec680cac1bfbdf4b55a196127406

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:c42c325c2b93bc0464e964b541666765ae6e9cbfb7cfbb89f164194754740270

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

source=arxiv_source observed=2026-08-05T22:06:19.670759Z digest=sha256:81bd01d160dd31d10af86c16bf3a3e04170cb8e9ff411fecc921df164d074621

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

source=arxiv_source observed=2026-08-05T22:06:19.674784Z digest=sha256:3585e9bde5c8b3c27cbf7a947049fce7b2595ac9026f770d7cd6d81a50e07b8a

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=sha256:85ecc4cf917ebd2d0a196561543f8adcb541449759eda8c86b8ef99d742c5e00

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=sha256:727028dcdcade2f8ae702220177b7095f135b5354b0031ab010167f740227847

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

source=arxiv_source observed=2026-08-05T22:06:19.688901Z digest=sha256:60afb437f09c159884b7bd9fe128aa11722d6e525d5970f72e09162dd2242386

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

source=arxiv_source observed=2026-08-05T22:06:19.693641Z digest=sha256:2da21657ce07797d698ac71eda92d02ca334e3505ddc554640cbeef32be979a4

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:d9b0bbc05da9a674189751f6bf2098aaa899551394e7bfe49c3a63a356bcc173

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

source=arxiv_source observed=2026-08-05T22:06:19.703353Z digest=sha256:0f6ac887f4b5f886ea67c66d0fa3951454d88014f5ab284cbe69782139655dc0

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

source=arxiv_source observed=2026-08-05T22:06:19.707336Z digest=sha256:5066e3abcfd1dc5dec2fedccd489d08734ab37e4902259dcb977a96dfb314a48

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

source=arxiv_source observed=2026-08-05T22:06:19.711302Z digest=sha256:78fe5317f596b8277f75ad52e98f59b1931b2e9f2e71a38e5fd98b177e13241c

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

source=arxiv_source observed=2026-08-05T22:06:19.716743Z digest=sha256:ee0dae607c026d16c28b04e94aac3246dcf893d683a2253f14aa9e5d87314d67

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

source=arxiv_source observed=2026-08-05T22:06:19.720984Z digest=sha256:daffd081117b805512aba6753a88c4cae32cdb5754e6733dbfc196781f9e9744

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=sha256:4ee6d82aa019799a736863ee92ef8c5608b238689d792211bcb1a1b75e88cbc5

Pith citing papers

No inbound Pith citation observations are available.