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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=sha256:134a8a59f3c1bbd23f0b9df634ca1629e6c8be9667b3b37ffeca6e9a0e519cfe

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=sha256:3f59a66fa3a8d7152665782d3ed618ce497a742751d2fc00b2f2eaa773c3ffcf

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=sha256:50b6b4a59d45a4723347b1fa7cef1f23f5ca7505c3c99f4359ae4c2c5a2b5672

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

source=arxiv_source observed=2026-08-05T22:06:19.590987Z digest=sha256:e49edd582c6788ea6fa6bc17028fef719474222e46820671bb58143788494023

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=sha256:5c905259441424f5ecbe6bc74d23a35eeb6e2af67fe78da1251dfe3ae143a7de

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

source=arxiv_source observed=2026-08-05T22:06:19.601094Z digest=sha256:96edafca282e4e0b30520a3ab3d9380bf306e6c23c77107138e8a8ae49c33ee5

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

Resolution
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=sha256:46621f1e101b5703cb7f584e4e299b2c598fe399009d101297357db5de2c11a2

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=sha256:113210a25bd8c82900a74b72108d11c6389b3166ff66fb83e3c88b7dd9aba9e1

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=sha256:80f1c576e4a0625343f4502d80a656c8af14670ba0e99ef14ba7825a96f5522d

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=sha256:1d5db90dc8a5ad3df594c25988955ea50b4c40c6256340ffb5bf56dc7093fa0c

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

Resolution
unresolved
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=sha256:3548cbf09ff58f8503bf0b62965c15418ce45a554215cda1f377216309df6799

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:b5b30e6e97b5a27246e7e05b19a12a21915fd3bcb9945df0ba4e0155fcf009d6

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:ca9bc31a8548807124bd3af48450f9c995752daaf879793a8ef56211a1b9ff84

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=sha256:6058c8572e691d1f6e568fdbcf18379944afeca8f01d7f64f1ee693d55cf5541

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=sha256:4cbd26844e1258e1d56dcfab6e866b51747603305d0e73352fc6041b46ed21db

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

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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:e1e548ff67887697a4db2b04ce3d73e94a3a6c2a7e9b30bc15d5415798922894

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:c642998bd0744515f159932741c477407f04afddd9eb6e4f605126aa382c7e82

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=sha256:0bc91c41d163e03f061a14aa3514aa3576d77dd4c55c31b03ad6064a01ff855b

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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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=sha256:3ec6165f2de70eb3ad559412c42d36b0eceb38f9cd3f4a06cd568794b73cfe1e

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:a090e8557fd72b5a92fa081b5a09c7c6d97730c39a02a5a7f9da64de28b33bd4

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:d2895be71fb458be725d7ce70de5c2e2d1aa9e73d8f95328991e5c8b0c4884ab

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:f47eeefc5ab533560824d236095703ec112b04ef486354eba9c5658a1e715bff

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:06:19.678869Z digest=sha256:23ed63be718182b322383ef6946314080e796085c58541a9c46d86dd7c6bc6f1

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

Resolution
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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=sha256:51f489b8be732437529f73fdbd1ceffdb6bf01d13998f97eddfce9fa5c9b575d

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
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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=sha256:6e19a5a85e22601a9c3d451420361d2baedd750b6373412bdb6e34900b29b281

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=sha256:5a0f0f3a855491efe720c19311fd81cd39fe389ea4b794df159a95241f1dbf8d

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:bd3f19704332b3cbfc76e47097e17cf2255062b17b82a6039dbe30ade90abec7

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=sha256:40806813af6844ed56694c505606f3c5c3a30a89015f8abc5abf8f3970abb704

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=sha256:004119cc43b2e070ffc76bcb4596c211da0bf529956c581970d30f19434aa207

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

source=arxiv_source observed=2026-08-05T22:06:19.711302Z digest=sha256:8ab1d8fdeccc783e8efd06f4884a6f67772c4eb622e6dc0e2ae0aba6faf3f415

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=sha256:6fb3bb751281bb74500ae0e2760fe599b55ac0ba3fca343426dc627e1f931e16

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:d1184d7ee9060e60a0fef93d6aaf1db8665f6fa39037b3d9ae708ad8453e987d

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=sha256:1a03acf6a04d789f5c1e90da998266a1e4b873004361a2969ca88a7e19a534fd

Pith citing papers

No inbound Pith citation observations are available.