Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:42:08.450698Z
Paper Citation Record · LEDGER
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
As of 16 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.047035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.155367Z
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.222820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5b0ef8e8-a2cf-4469-8652-25a96f362ea5 · 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 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:42:09.423655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f9978f0-3f4d-475f-8f58-df26f2d3f5ba · 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 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:42:09.386799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4cfba46-1be8-484f-9d53-2bf46c91e9ba · 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 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:42:09.294024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:42:09.252354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.321054Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5b12809-33d5-4493-b422-e076e2b8c405 · 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 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.335201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e693d763-a8c7-4ce3-aa2d-5f944a12aafb · 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 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:42:09.183237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:42:08.356989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43209e30-a86e-49f2-bbe4-4264df4ad04d · 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 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:42:09.111363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.