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Paper Citation Record · LEDGER

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks

As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2608.07335.

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

pith.paper-citation-record.v1
2608.07335 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:11:39.636714Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

63 of 63 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52a894c6-a769-48db-a793-dc9cc0832434 · outbound

This paper cites 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) , pages=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) , pages=

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.342488Z digest=sha256:b62fb635b71d57376ebe983ac276ec2562ecabbf55fd4d51496f57025e8807bb

Observation 54a623ee-9a9e-463e-83ed-b5e1dbb01f71 · outbound

This paper cites EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

Reference 2

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local_arxiv, observed 2026-08-10T10:11:40.047367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.347629Z digest=sha256:be9a2f4b08692af3f985fe13605794633c0137b9bc20c5806e9ac86d520b9411

Observation ce6ec7cc-28d6-4d2a-a435-26d0c24928c0 · outbound

This paper cites DeepMind Control Suite.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks DeepMind Control Suite

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.352751Z digest=sha256:555f40c00aa8ef057ab0ef2b55d077c6e28db3d02c2265a647f498f3c642ea37

Observation 4bb75407-ff29-4785-a5ab-2003aab18c8a · outbound

This paper cites 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR) , pages=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR) , pages=

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.557856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.357972Z digest=sha256:6f9d049b8e678ba918daf6e3707dda13f015683a21e21c77d0ce1fa074f26bbb

Observation 5caf604c-aa78-4ad9-83db-270b852d2688 · outbound

This paper cites Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

Reference 5

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source=arxiv_source observed=2026-08-10T10:11:39.362758Z digest=sha256:1038cad9d72a37852e521c552fbc16a9b85d8effec2f0080ea308e77d9c70f65

Observation 0a9d4719-1ccb-49d2-96a4-606789190e82 · outbound

This paper cites Nature , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Nature , volume =

Reference 6

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raw_fallback, observed 2026-08-10T10:11:40.542334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.367848Z digest=sha256:302673bf0c49152b8b69f2e785892d1deece45594fe402a4f84ed52c90316b0e

Observation c4bad480-fa68-4bb7-8837-45a4e37fb6c9 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Playing Atari with Deep Reinforcement Learning

Reference 7

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source=arxiv_source observed=2026-08-10T10:11:39.372379Z digest=sha256:a04c6515eae7f3ce7efb1b440767cbd283e6b3ef1ad46cf131a512e704654b06

Observation 77292a3b-3132-4cd7-9d29-a948cd53174e · outbound

This paper cites Simplifying Deep Temporal Difference Learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Simplifying Deep Temporal Difference Learning

Reference 8

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source=arxiv_source observed=2026-08-10T10:11:39.377230Z digest=sha256:14b47ce49738e50778c3f40d70036dfacfcaaf7eaaf2251d0b132e3bf9234365

Observation 4f918fa1-99c0-4c2e-bb1b-cf6e562c015f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.526989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.382190Z digest=sha256:69db4914b9b6e506c603031b2552fe14c4b87a904fd4253b04023dbaf5be6867

Observation 71c2c19f-87a5-41c3-8661-3680acc6fc4a · outbound

This paper cites an unresolved cited work.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.387298Z digest=sha256:d67029e3fb2bb4b87aab539e49831ce8a52e689468a941c6859b865b36fa0471

Observation 8fac2f4a-ccde-46c1-b7ef-c6a87076fb2b · outbound

This paper cites Scaling Up Kernels in.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Scaling Up Kernels in

Reference 11

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raw_fallback, observed 2026-08-10T10:11:40.494947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.391913Z digest=sha256:583b788ae947f6584fe8ff40228ce936122e682446fcd9dcc3661dd0f2d08b5d

Observation 1f612552-47a7-4dbf-be22-1559564cfddc · outbound

This paper cites Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Reference 12

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source=arxiv_source observed=2026-08-10T10:11:39.396334Z digest=sha256:f43fdbb717192bff38cfbef82cfb2d2613fd96d82e6700157856d4624e879a2b

Observation 1e8fc7fd-a260-4a17-ac6e-558b092144d8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 13

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source=arxiv_source observed=2026-08-10T10:11:39.400979Z digest=sha256:85f2bc14e4b774fa6f255394075fe0d0bd0a30341a5211d0de0f28c3ba56a5f7

Observation 853f25f2-3e21-4f30-a682-aa7e5f98983f · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks A guide to convolution arithmetic for deep learning

Reference 14

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unresolved
no resolver link, observed 2026-08-10T10:11:39.405893Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.405893Z digest=sha256:891108d8fea179a4d989b05f0d16c42b13512ccf1ac5a3c8bfdaadc8456103f8

Observation b84e436f-f7e3-43a7-8f9f-4be2f4634d84 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.478814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.410582Z digest=sha256:1fc33e7d50a54b23ed0aa21c211b67c2c08364d2c55c5851f61e81851114999a

Observation 3e0b7197-2b04-4b78-9ad3-618d957fc728 · outbound

This paper cites International Conference on Machine Learning (ICML) , pages=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks International Conference on Machine Learning (ICML) , pages=

Reference 16

Resolution
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raw_fallback, observed 2026-08-10T10:11:40.463309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.415966Z digest=sha256:045070b0275557c0d07f6d8738ad01980ce0dd321cdf96d33ee767af15fa89ed

Observation d68ea7a4-efae-4f83-a7c2-d36d92549843 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks International Conference on Learning Representations (ICLR) , year=

Reference 17

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source=arxiv_source observed=2026-08-10T10:11:39.420971Z digest=sha256:4696a0e6f2c2f44e56d36be19f7788f00ca8a41dda02680927f5ea1750d0bbde

Observation 4149e444-763f-475c-b795-47f3dccb9665 · outbound

This paper cites Proceedings of the IEEE 12th International Conference on Computer Vision (ICCV) , year =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the IEEE 12th International Conference on Computer Vision (ICCV) , year =

Reference 18

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raw_fallback, observed 2026-08-10T10:11:40.437418Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.425991Z digest=sha256:1845b180ebef63a93d74a9447dbcac866a5284125289a0dfe4c99eeaf49f9676

Observation 023932a8-bd72-4f0f-8a0b-0fa25af0ecab · outbound

This paper cites , title =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks , title =

Reference 19

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source=arxiv_source observed=2026-08-10T10:11:39.430290Z digest=sha256:f86acb2067ce90ae00d29db5fbbf10de85e6419982bc8c980aeb76e6f46eba2a

Observation c59addf0-129b-4baf-a324-121686e823ef · outbound

This paper cites Layer Normalization.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Layer Normalization

Reference 20

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source=arxiv_source observed=2026-08-10T10:11:39.434497Z digest=sha256:2aabc12d22abd84c44b7769180cf4e15b9124fb5768b1073c0b38ebdc6877c1d

Observation 1bcd8b3f-6b4b-47aa-9be2-4ae07c9b42ea · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 21

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no resolver link, observed 2026-08-10T10:11:39.439547Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.439547Z digest=sha256:6213018663d03f07e5efbd9068941b1c5e1198f32a5cb788f2a2bc82695552fb

Observation c4e15cd9-6764-4029-8255-44c57fe4fae7 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , pages =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the 35th International Conference on Machine Learning , pages =

Reference 22

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raw_fallback, observed 2026-08-10T10:11:40.402964Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.444025Z digest=sha256:fcae4d3d1c9d043712a6d6a7b3181abf8d723e0af3e1c2b1de1ff11eb4d2361f

Observation 7126b770-7cd6-41dc-b612-a538780c151a · outbound

This paper cites Hadamax Encoding: Elevating Performance in Model-Free Atari.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Hadamax Encoding: Elevating Performance in Model-Free Atari

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.448368Z digest=sha256:ac4adf5e8cb387816338cc9921abb093ac6208a92fab50a6605a51a5aa509167

Observation 103e05f6-e3d6-4f0f-a629-b365254750ad · outbound

This paper cites Hadamard product in deep learning: Introduction, Advances and Challenges.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Hadamard product in deep learning: Introduction, Advances and Challenges

Reference 24

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source=arxiv_source observed=2026-08-10T10:11:39.453075Z digest=sha256:3b14a6b27aa1a2531724077f26586f8d5a3f78230f26203663712551a6b67d71

Observation dfc9fabe-61f2-4bee-b39b-41dce43e4968 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Gaussian Error Linear Units (GELUs)

Reference 25

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source=arxiv_source observed=2026-08-10T10:11:39.458291Z digest=sha256:916729357e9e55ca48c7c125aba87da122219a7e6cce47b20166ee4b57ee4959

Observation 02914b74-75bf-429d-9426-2ef1fa61a50a · outbound

This paper cites 2018 , publisher =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 2018 , publisher =

Reference 26

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source=arxiv_source observed=2026-08-10T10:11:39.463476Z digest=sha256:47f68d9f3089d6661d48e8cde8f929d38184515bb574189bf940f88a73e1ad58

Observation 670f2997-a7c6-49cb-ba08-2069ae150e8e · outbound

This paper cites Proceedings of the IEEE , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the IEEE , volume =

Reference 27

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no resolver link, observed 2026-08-10T10:11:39.468108Z

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source=arxiv_source observed=2026-08-10T10:11:39.468108Z digest=sha256:04193e6e6659c065656d6e34826cabaa5dca4cc324cd0659cd5648614adbacac

Observation 5ad8a4b6-3e70-4e2d-a637-98ab7d1fb65b · outbound

This paper cites Journal of Artificial Intelligence Research , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Journal of Artificial Intelligence Research , volume =

Reference 28

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no resolver link, observed 2026-08-10T10:11:39.473168Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.473168Z digest=sha256:336e66be7b65e221bb283cbfbb294cbc3d10e26efe98acf36a2925c87d91d0a9

Observation 76e1caa9-7921-4dd9-a39f-3b170e2140b1 · outbound

This paper cites Machine Learning , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Machine Learning , volume =

Reference 29

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no resolver link, observed 2026-08-10T10:11:39.477485Z

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source=arxiv_source observed=2026-08-10T10:11:39.477485Z digest=sha256:77f69d39f0810f6531fe1a21ed34969906ba8fd698ea2076adefe5301a7d3a6e

Observation b933f406-04fe-42eb-a026-5c1ab7fe11a8 · outbound

This paper cites International Conference on Machine Learning , pages =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks International Conference on Machine Learning , pages =

Reference 30

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raw_fallback, observed 2026-08-10T10:11:40.357304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.482036Z digest=sha256:8bf1b92af2220d0c5705f224616fb2e011255209bc736f74763dd69ad33b3e7e

Observation 379f6a65-137c-4cba-bda4-53fe6ca97330 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the 40th International Conference on Machine Learning , series =

Reference 31

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raw_fallback, observed 2026-08-10T10:11:40.341591Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.487297Z digest=sha256:de593f472c6025f734a0e3e925d54e11b3a435c7b7bcbc0c59ba76265721ea40

Observation e8f2a55c-fd21-4271-9d77-3313c91d7314 · outbound

This paper cites and Hessel, Matteo and Zintgraf, Luisa and Singh, Satinder and van Hasselt, Hado and Silver, David , title =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks and Hessel, Matteo and Zintgraf, Luisa and Singh, Satinder and van Hasselt, Hado and Silver, David , title =

Reference 32

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raw_fallback, observed 2026-08-10T10:11:40.326994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.492474Z digest=sha256:7f4d9a06976d0a9253dc5decda332859fc85591400f1ab7880dc9c8cafab833e

Observation 8976098b-ce68-4f0c-9c79-fc8c526b06a4 · outbound

This paper cites Nature , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Nature , volume =

Reference 33

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no resolver link, observed 2026-08-10T10:11:39.497198Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.497198Z digest=sha256:0f6ae8a095ccb17ddac0d1be38591dd9305c5645c157c21b23aa12152a3abad6

Observation 9cab5c61-1a76-432d-abd8-108d913d4d82 · outbound

This paper cites Learning Transferable Architectures for Scalable Image Recognition.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Learning Transferable Architectures for Scalable Image Recognition

Reference 34

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source=arxiv_source observed=2026-08-10T10:11:39.501859Z digest=sha256:8813326fb11fc3819c7b64b4f7a68d4ec09a768a5dddc17a0935edb7db5bf3e8

Observation 321da767-4d0e-40d2-933c-01e9696eeba8 · outbound

This paper cites Continuous control with deep reinforcement learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Continuous control with deep reinforcement learning

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.506579Z digest=sha256:c8eac64d9c503fdfda1aa12ef485067c2423b33fc84cb0f6d7febd502581ba8f

Observation 3d59e8fd-14ff-4a8e-972c-5a9a99dd5c51 · outbound

This paper cites SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.511565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.511565Z digest=sha256:515f7ca73de4d453955f4b07edbac1828c2f38ea2fb3cc451a64ea367a3cf255

Observation 032e212a-2477-4bde-a4d9-c0a0ff21ca18 · outbound

This paper cites CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.516466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.516466Z digest=sha256:fdab8ab3fa9c47e1e4212c2d72c9d9b3a9f772f3cd32370c2edb636ab25f1b34

Observation 25c7f387-2c4b-4b7d-9a06-2501187fbb8a · outbound

This paper cites Randomized Ensembled Double Q-Learning: Learning Fast Without a Model.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.521399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.521399Z digest=sha256:161d3b06d7e7d98f508d4d765ce645fa8d744b5d46f0c44d61246f0d792d82ba

Observation be2169b7-5fc5-4226-a1f6-2341a3d1462e · outbound

This paper cites Data-Efficient Reinforcement Learning with Self-Predictive Representations.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Data-Efficient Reinforcement Learning with Self-Predictive Representations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.526442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.526442Z digest=sha256:4419b79d3a5baeffc3de5885de0235bef3391d5f09b6fb331abafab461cff6ee

Observation a3aa4c53-546f-44bf-a57b-9a2aee8a8ed7 · outbound

This paper cites and Agarwal, Rishabh and Castro, Pablo Samuel , booktitle =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks and Agarwal, Rishabh and Castro, Pablo Samuel , booktitle =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.311405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.530984Z digest=sha256:252e1fa901ead30e6904a914be4dd5de3ce562615b5b5ccbd7a0b74dd740796a

Observation 0dbf31bb-0fa1-4c33-a1c0-b2c01c43bf2b · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Advances in Neural Information Processing Systems , year =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.296078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.535798Z digest=sha256:f93505102df9ae486c9fcf4e45a308821abad403a8bcc028d21e1dc816988b99

Observation e2d936ae-09e4-4b0a-b3d8-1825cab1480a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.281187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.540161Z digest=sha256:f81adc87fe20697257b76d48d66a82ffad256151bb587ad9a09c7c26c1179233

Observation 9b530e2e-95f2-4d3d-a3e7-0ef30b3b3df4 · outbound

This paper cites an unresolved cited work.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.544503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.544503Z digest=sha256:b3f62e1587ed5e9574cde97f8da274a07a34955e6f4a5704742c8a5ccfb0e084

Observation cc6eb6ab-2cc8-4bf2-b24d-cf8ae610334c · outbound

This paper cites Advances in Neural Information Processing Systems 32 , editor =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Advances in Neural Information Processing Systems 32 , editor =

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.548869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.548869Z digest=sha256:34ffe7c1b4f08114eaa5eebc74dd4cc6cb4b80d15bffc6d4091a74eea6575ec1

Observation 06c018cd-ed63-43bf-b289-f2d6b06ade32 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Journal of Machine Learning Research , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.553228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.553228Z digest=sha256:769eccb1bd791b7df18e74ff97cefa9aba6031bdde74d10e1cbb08c5fa87ef8a

Observation 1caa7251-601a-4b4e-a909-8f5dfb9db017 · outbound

This paper cites Biometrics Bulletin , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Biometrics Bulletin , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.557539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.557539Z digest=sha256:1360497abd680544c1154736dd0763ce69d9945cbf0c7fb3a636c4e605fb2f8a

Observation e31637d9-bfd9-4496-8537-613d0c4fca73 · outbound

This paper cites Scandinavian Journal of Statistics , year =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Scandinavian Journal of Statistics , year =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.223479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.561879Z digest=sha256:b87f06d9b59ca9c81444c0c9069df26b1ca849cf9f697eb5ba3b87bcc2ff11c3

Observation 01799a31-71f1-4b71-a458-3c732528ebc7 · outbound

This paper cites and Gensler, H.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks and Gensler, H

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.206240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.566307Z digest=sha256:58190d9dfec03f661272bc0b5c44bf13c4db310c4e68d6eaeb60972e7670a459

Observation 5705cd5e-b722-4b38-8e68-7e6e33115274 · outbound

This paper cites Journal of Thoracic Disease , year =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Journal of Thoracic Disease , year =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.190767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.572237Z digest=sha256:d9fe0d06472f0beac82784eca3f4eaa46b00577d7bdaf40ab3d37fb9063014dd

Observation f86e706d-063d-4d14-9989-8a8135c8f77c · outbound

This paper cites Proceedings of the Twelfth International Conference on Machine Learning (ICML) , year =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Proceedings of the Twelfth International Conference on Machine Learning (ICML) , year =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.175258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.576721Z digest=sha256:1038833ebc366f594a2a103460b31f2714ed318633b1a3a74e9f369236a3d7a4

Observation 4efdd349-735b-4ca5-8116-a93d784579b5 · outbound

This paper cites Backprop-Free Reinforcement Learning with Linear Concept Bottleneck Models , booktitle =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Backprop-Free Reinforcement Learning with Linear Concept Bottleneck Models , booktitle =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.159808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.581022Z digest=sha256:0879e696f7a8f40f94f7995a1226d548a4fe839ee393c657044fa7e025b13756

Observation fb83675d-9dbf-45b4-8b2e-5172ec20d067 · outbound

This paper cites The Annals of Mathematical Statistics , pages =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks The Annals of Mathematical Statistics , pages =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.143133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.585437Z digest=sha256:f7c8f207ff04ae2e85f9745e5b4e425b4b9a46409512bc34797cd4bda13e03cb

Observation 604a9421-5d00-4c62-bbe2-1b3197a8eb77 · outbound

This paper cites , title =.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks , title =

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.589727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.589727Z digest=sha256:bfa547b52ea4ea9884ad862393dbc4dd4af8a8b30511113549324dba7cd30916

Observation 526cf5fc-7855-4224-bd6c-465fa6d617e0 · outbound

This paper cites Deep Exploration via Bootstrapped DQN.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Deep Exploration via Bootstrapped DQN

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.594054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.594054Z digest=sha256:998d0374f87cb10ec4d1f982763ce460cc5253fed4b4a86fed2d25b652324bfe

Observation dcc20977-e31b-49d7-8573-122b9f99e93b · outbound

This paper cites Improving Regression Performance with Distributional Losses.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Improving Regression Performance with Distributional Losses

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T10:11:39.755566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.598773Z digest=sha256:3c579de930eabdd2501d951c7b35ca0632e36d21d656fc36f537915965c57ead

Observation efba4d06-d8f9-470f-9d6e-e39ea1ffa96e · outbound

This paper cites Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.603495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.603495Z digest=sha256:24b32036daba7059860723f8f92734368f2b0c7ddb26db0b1f91558d2f03c16d

Observation 42a08562-4c8b-4ef3-9063-6b525e4bec58 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Advances in Neural Information Processing Systems , volume=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.608738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.608738Z digest=sha256:56eaf71584fa979c69e1758ad726b812ceec5c543076b44fb2c17cad18ce553a

Observation 2e497511-84ff-4aba-a3e4-647d2df375df · outbound

This paper cites 2021 , eprint=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 2021 , eprint=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.612930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.612930Z digest=sha256:b3557d134c514a20305d710427815ada3c68ca282bef0140e2a7d3eac3ca8d89

Observation 38341f4d-93a3-4d1d-bd0a-d9acb168c6e8 · outbound

This paper cites 2022 , eprint=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 2022 , eprint=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.094615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.617911Z digest=sha256:06aecb98adf8d06ec79cfb29e4ee6756ecb4a920d889ba14e50066263364ba47

Observation 235ffaeb-af4e-4457-918b-542751f070e7 · outbound

This paper cites Mastering Atari, Go, chess and shogi by planning with a learned model , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Mastering Atari, Go, chess and shogi by planning with a learned model , volume=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.622700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.622700Z digest=sha256:efd2b1661a8bc3c172395a9712ebb51af81d47d8f03b0f84bf2deae4aeec7d3d

Observation 945fd4b1-9e8b-4285-80f0-423b5f106b91 · outbound

This paper cites Leveraging Procedural Generation to Benchmark Reinforcement Learning.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Leveraging Procedural Generation to Benchmark Reinforcement Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.627419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.627419Z digest=sha256:55d164a8a94371e4aaca5c1a4b0e07b57021fa0016305fde031c6e036327c08e

Observation 3fbcd1bd-ecf7-4bd1-b1a3-d17c5beaa8ca · outbound

This paper cites Distill , volume=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Distill , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.078326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.632261Z digest=sha256:361e91ed8f7fea3881c258547c6eae2a2313bc1fc7d81b0cf87aeb8445ec1c81

Observation 67d8dedc-7d3c-49b3-b6d9-c4a13187f98c · outbound

This paper cites 2017 , eprint=.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks 2017 , eprint=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:11:40.062775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:11:39.636714Z digest=sha256:97051ec79002e785d97a227f00e483a3849ddf115d45e9b1b881222add37471a

Pith citing papers

No inbound Pith citation observations are available.