Paper Citation Record · LEDGER

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

As of 23 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.06660.

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

pith.paper-citation-record.v1
1908.06660 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:42:08.450698Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

51 of 51 outbound references displayed

verified exact2
verified fuzzy10
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eedf39b-a9e8-44b6-a313-564aa0a69f40 · outbound

This paper cites and Winands, M.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and Winands, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:10.287335Z

Source-reported events for the cited work

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Observation 7acb34de-ac56-4ed3-a995-c2f6d5ae73ef · outbound

This paper cites and Winands, M.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and Winands, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:10.253604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adedd081-69c4-4769-a17f-6038df5727f9 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:10.230857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b723dae2-0ed4-4031-87c3-4950afce8ba5 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:10.212223Z

Source-reported events for the cited work

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Observation 8b262cc9-fe6d-46c8-abf7-68ac14e47ce7 · outbound

This paper cites B., Powley, E., Whitehouse, D., Lucas, S.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data B., Powley, E., Whitehouse, D., Lucas, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:10.191452Z

Source-reported events for the cited work

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Observation 2400afd9-9320-458c-9651-d5fa9e5747f2 · outbound

This paper cites J., and Hsu, F.-H.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data J., and Hsu, F.-H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:10.163131Z

Source-reported events for the cited work

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Observation 130fc043-7d81-4b28-8f8d-c1a028daeabb · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 7

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Source-reported events for the cited work

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Observation f14ed816-b357-4f21-9564-42e1798182b8 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:10.130582Z

Source-reported events for the cited work

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Observation dd2234e9-44df-409e-9727-1c1aef78ca9e · outbound

This paper cites EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:42:08.770869Z

Source-reported events for the cited work

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Observation c182acb4-7110-47c8-8995-cf3b15605da2 · outbound

This paper cites and F \"u rnkranz, J.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and F \"u rnkranz, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:10.092346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26154ec4-aaaf-4508-9f31-33580e00efaf · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:10.061762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0cd802f3-9f50-4b82-b2dc-9af566b5c675 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:10.022543Z

Source-reported events for the cited work

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Observation 6489bc49-0f9e-41fe-9133-bacbd1890a2f · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.990637Z

Source-reported events for the cited work

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Observation f71878e6-2367-45db-ae9e-2d74e28359b7 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.956989Z

Source-reported events for the cited work

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Observation 46575d77-fa9c-49ff-b1ab-0bad60fda63e · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.907724Z

Source-reported events for the cited work

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Observation f99402d7-20d0-421f-9115-14e1afca0c33 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.870692Z

Source-reported events for the cited work

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Observation a1512ea6-0e1b-4caf-92c4-b737cddc77aa · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.829175Z

Source-reported events for the cited work

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Observation 35ab5db4-9d03-437b-9358-ca45d961aa65 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.800598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53e395bf-7eb4-468b-9fc9-35e572bc4ab1 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b55e189-5e83-4e76-8dc3-cf1ef6dde79a · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.768589Z

Source-reported events for the cited work

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Observation 35156c63-74c8-420c-abc8-1939a9790c2c · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.737757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8301e425-79f0-4388-a40b-b05cdd46143a · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.704894Z

Source-reported events for the cited work

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Observation 7e0d3146-064f-4b1a-b80e-35c3669d3051 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.676217Z

Source-reported events for the cited work

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Observation b09629dd-86fb-457e-a7ec-a26fc0577b55 · outbound

This paper cites and Muller, G.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and Muller, G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:09.643914Z

Source-reported events for the cited work

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Observation f709dcc2-a768-4014-89c7-e03387bf8031 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.617486Z

Source-reported events for the cited work

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Observation 9fdc81dc-4cdd-4843-9fb3-617dd08a4292 · outbound

This paper cites Improving Generalization Performance by Switching from Adam to SGD.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Improving Generalization Performance by Switching from Adam to SGD

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T12:42:08.208398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ffb31c-549f-4907-a9a9-fb9100dae8d3 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.596603Z

Source-reported events for the cited work

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Observation 4c12b70e-9410-4c4d-a225-f8585781d66d · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 29bc789f-c034-44a4-883b-b8a287a621e9 · outbound

This paper cites and Szepesv \' a ri, C.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and Szepesv \' a ri, C

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:09.533754Z

Source-reported events for the cited work

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Observation 2637583d-da21-4111-84e4-5e1a89a14829 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.507385Z

Source-reported events for the cited work

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Observation 6ac88389-af1a-42c3-b23a-5f534039ccc0 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.471116Z

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Observation 5b0ef8e8-a2cf-4469-8652-25a96f362ea5 · outbound

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.423655Z

Source-reported events for the cited work

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Observation 5f9978f0-3f4d-475f-8f58-df26f2d3f5ba · outbound

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.386799Z

Source-reported events for the cited work

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Observation 24f706a5-b3be-4375-9994-7436cb5429f5 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.366392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a50bdb8e-0b95-4ead-9be9-1295fd83773e · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.334304Z

Source-reported events for the cited work

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Observation b4cfba46-1be8-484f-9d53-2bf46c91e9ba · outbound

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.294024Z

Source-reported events for the cited work

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Observation 6942533a-add0-43da-ad6b-1d4bf33b1565 · outbound

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

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al

Reference 37

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Source-reported events for the cited work

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Observation 3c2074ff-26c0-4f6e-8822-4857897f9360 · outbound

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

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 38

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Source-reported events for the cited work

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 40

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Source-reported events for the cited work

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Observation 79f9243d-9dcc-4542-9e54-c300a3ecc749 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.158447Z

Source-reported events for the cited work

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Observation d23dcb6b-7c2d-4224-a9bf-c0f5224ff901 · outbound

This paper cites A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Reference 42

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.111363Z

Source-reported events for the cited work

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Observation 08fd3dc8-0209-4e88-987d-82794f207c82 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.078113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd6d1064-ddc6-4d89-9ecc-99a9d89f813f · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.052581Z

Source-reported events for the cited work

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Observation 364155fa-7d08-4850-9694-c583120b39e1 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:09.006624Z

Source-reported events for the cited work

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Observation a6776d55-2dc6-48cc-bfaa-ed5c01c0ee87 · outbound

This paper cites and S olak, R.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and S olak, R

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:08.982072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd4410af-1618-4400-b5a5-05326d4dd54d · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:08.950051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5100dfeb-e83f-436e-b079-b0d50b0b4671 · outbound

This paper cites an unresolved cited work.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:42:08.930028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b739ea0-ab21-473b-b3c8-0851100dacd3 · outbound

This paper cites and Komodakis, N.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data and Komodakis, N

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:42:08.838774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ca65e30-f01f-4b35-8a8b-3e037b6bd809 · outbound

This paper cites Rethink ReLU to Training Better CNNs.

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Rethink ReLU to Training Better CNNs

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:42:08.574069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.