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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 11 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=sha256:59c090f9177916e07ae7cd6e6dbc77e41f860540357bc773e21ab8a34529e117

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

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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=2026-08-10T10:11:39.347629Z digest=sha256:c78da5f462d8162c5ef75eb09680584220aca5de6192db81d1dfc33c7a2c121d

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=arxiv_source observed=2026-08-10T10:11:39.352751Z digest=sha256:d76835d2a25ad85460240dc26344f15e21d660dfd5965d370d873ec08f2b42a7

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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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:b9412ec76d2f4acb9df5a839f41170001bbec1d613770fbd5bfe00f5c8bc1fc7

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:cac58026c1ec97fa8635a0d1df682c58977eb52120da5d13ff5fd0e82a5b9ee6

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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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:b2656b9230d7a4db41e233a6da6c360213377a70f5c56063d2dcb1406a4cd3a8

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=sha256:45b41983861cee585da13b7ef4327097d8bfea33c020fbe6180e5dd4db404227

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=sha256:55b8541b60cdededff5fe61d789eaa51401db56e681c26869c29c047c5523678

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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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=sha256:7f077ca52676f756d8be2421aab4919af6017e0a55154416e3cebda68352e2c2

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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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=2026-08-10T10:11:39.387298Z digest=sha256:9acef72a09fdd42792235137f67d06bb1951042bfe82714fdaeb476e16856143

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=sha256:5463238c19b2c53225d1b2b29376e1855b2e368ca16a257428e46ff70f9beeb9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.396334Z digest=sha256:436a6432fea435798fa1e00600093b425a310151962bac4da75ea53475aa1a3a

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:fedc44ff2eb29dbbd48bfdac7aa48e2b75b24dc09cabeffe81ff519c99483532

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.405893Z digest=sha256:0b82a28ce15ee0a40bda8af137b6442ba04c8d3960e6ebe270b060481f82bf1f

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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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=sha256:5017f699d3a6d95c38477a08fb0820ea30f5c1d754ef8dd67e5d063568f14fba

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
verified fuzzy
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:a6bb9632aa53d073cd31dac6cd69f40d5c67842e2cd539c704a11e5ff40ed04d

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:dd8ea488db93b5cdcbf0618c1400aad360a396d282fa712d2b7ded6002574a1f

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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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=sha256:479543582cc054af367cf842174ef4875da64c918aff3c8bf11e183e187cc3ce

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.430290Z digest=sha256:9826fbafd092b4516281c8b383bbba256b361b3e2a15ec8530ce4365ab327b49

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:fe710f88fb953b2a0eb52ec1120e8f8e54ad9c79b9740d25758a41147f53e460

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=sha256:01bd9dd618517fdde8ded9902bdc1d1cefb5eda7fc4db27067972de94cf71516

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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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=sha256:1969bba7910d14ad6eaa769a5ab59b4cabcf0ed1c6954bb4605bf59b5f4c903e

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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source=arxiv_source observed=2026-08-10T10:11:39.448368Z digest=sha256:a9025dd0bf1c648f609070cb3c8c9e3d27fff0595383e2a33aa21ccb14b1bc29

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:c626ada7916222f42994ffd0010038d44712e6456436fe94f49c8e7a064363c5

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=sha256:5706c8aad389c3d635520522d696c2edbecfdb83da0aa6a711b5be21619a3134

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=sha256:5dfd45bc24a10e025e1aedd5270ef1d785961f81e3e437759fc25d53780072fc

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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source=arxiv_source observed=2026-08-10T10:11:39.468108Z digest=sha256:ee6c5ce428cd6323acfe27d94b8f46f7bfd379d6a7285c718d8dd08e0fb1ce5a

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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source=arxiv_source observed=2026-08-10T10:11:39.473168Z digest=sha256:fc555467e1944c13ec9ee208d36685adba3a1220f8cd6e466ebdac0e97068c61

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.477485Z digest=sha256:a6857ccfb1253c65e75144732e9a4ce375120eb90094577a6bfa67e03d31abe7

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:fd0ca13627cfe6f6a8878ebf7f00248cd072802c72cdb331a01178528a180742

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=sha256:9c869e59738a44df31dcd8f03f27746387b38b748a8b343ceb1bd60e4c43380a

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=sha256:954733b87f8f552b82b723e29661643290300a886cb4486075aa04912ab24e52

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=sha256:5fd88487ebfe7b3a7ff3aaa0796af47f69c02b23ac4d5d5133229e2612b7c3df

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:f099be0e257af72ea008025b6ce7a9899706f43852f14b06726be69efa666bd1

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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source=arxiv_source observed=2026-08-10T10:11:39.506579Z digest=sha256:3a152744de0466e276b6e32ee423030e01cfb57ade170912149e898951cf6ca3

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=sha256:9560a1cd845b61d87b93dc1475b2ec042a78ab1f4da5fcbe6d4c52bed9cd80a3

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:bf2235ba43f19f9c301ee2562b678fd2fd0c6310899601e3d24d79bcee330bd8

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=sha256:867428e87557f9bbae38d66b97ae906d15d708c59903bd8d0b477b3b7e913653

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:f0ad4a8d8249cc40a7e5276117e780d2088596204766e42250f1ca4dc69608ac

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=sha256:36ca3d2956474c7df19f5bdd4dcc93e164793e71633d10ca07d61bb86e9fcfbb

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:ac30e96f874bbe50bf7f193945e46b92a7940297c31b4436ab70f38fc4eb8da5

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=sha256:4ba8921438191d29adc98825035ca3b75f97f73d27cacd12a3245afdfcbc6ed7

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:b8ee054191302a5a5af901611e7128d7c3e8492be83d4c6c676506c33c2fb05d

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=sha256:51b06c77c94d15f7a2b073cbc584ea994a8e07d4b2891b3f3a713bd19d0bfe3f

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:cb640141da86142470053f818396951179e945020920e175ca5f7157583070db

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=sha256:46f9e89e4733657c1fd76122870b671d087d47b9fe2d0847cd7b147da68177ca

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=sha256:1f7a3788cff2e48d1a6e4f293eee1b8ddbed8dcd592171f9ae27a44f1350d540

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=sha256:3c0b7a4f2ddd27067d37bf593f7260aafaa21113f49faa3f242f07967c2a31f1

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:e059453e84eb4b3c1c9add3bbc6f5541e675a4eabd896ae5f536409dcfea102d

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:f0b18dfbb5d27f588f629f71247a59baf94ac054aece9adf988ac6de8b392c6a

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=sha256:49cd7259046599fa4bd1c9583cf1f1f6529cb01066f37674def1123ec4cdef97

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=sha256:4f14b340770d70dd1beeee4dede6b6fca473367fc29ae3cd510c7899a843012d

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:d8c03c39aaa32841f5084b62e162f6c7954decb6ab1b94f4a80e0c8f694ceb02

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=sha256:69dbbc4774be74f1924d47d9c12f29d49090d7c10435156fb194a15aba932688

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:a58223efb9e95dc99ae61ac239c2d37b3eb31cc61c5534dcd8ce0543e85e4397

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:d31cfed5542bf6165a4e68ead776c23ffd298a6db1a439b005757a48b61e0e94

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=sha256:260f320dd74547af58eef3cd57f7346896dd7abccb24ca0b5bea13751e32722a

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=sha256:09166c9d2b9356264e35a97f586cb97a8c1c519227045d4e64f5152eda3d2f33

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:e6589e08362c0c8d60cdb523c7be9b9cdeae7bb6e03eb54f062ca26a8bcf6e50

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=sha256:6536d3778b0d1229d106aa9e4e5b70900309eb894d1a44bec55a5431a5612a3c

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=sha256:7387689a59e41e21fb4081cef2f10662f40751668e2b76062628f107d8b2dc6b

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:ca65b6d06e2ace20b5d350e413ecb86b43a6471c555a2d172d1065ff6cc1b7c9

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:b00f09f51004fd9ac6a1c50c1bc51b8dc4fe34d7c6aac170f4da98540bc71aa9

Pith citing papers

No inbound Pith citation observations are available.