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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=sha256:3655637408ef0dd189da227d8e0918c9ffff9b9d40a2f1044a05040a447c0af1

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=sha256:0efbdabdbbc6a322a8f71e9108860ff4a280a9a8232d6b46d8e22be227b7eef7

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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no resolver link, observed 2026-08-10T10:11:39.352751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.352751Z digest=sha256:275efd53ede42d95e6f9e2e528055ef683f9cb4f85ab2925067d391f3b50f3e0

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:a57a2ad3d4f6bbae0f48e3d166de43f97af513552504cee841d1542ab3bd0428

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=sha256:772fd3fd124758aaef4ad72ebc4468da5343a3f31dbaab0d6497c9bb50ad2268

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:ad13e5fb762b60070581752c07bb704e3d8399510ba5c1f3ddef216c27f0f578

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:bbef8b35c3452d30ea62b571a04550cb2eb82dcf07763dd8fd78ffbe04b6bc04

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:cd190213d45fa5a523d9eae939e79dfe1c7293147c065f6d01cdf383d261e712

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=sha256:612265b7ceb547d23cf12b2c1744c1e077bd112020b284bb8b3bfeeab38fcf89

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=sha256:805be613a2e0b88a2221fe7abe0bb705ccc05a695d2f7f6000900eca2b5f14d2

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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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=sha256:8f591b02b3b9132e045be0d1f0d4c5ea41840e435092e56056fa91d6afe32bb8

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=sha256:28a73eb278ab297dcc4708cbf76cf6208af8ad17cc54c345d1efb81ac8150ea4

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.400979Z digest=sha256:12c64429ad487d71e1c1b49f21f88b26c1635c47462a5de10ee5c5473e7f9152

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=sha256:1f4950bc34d46379327c8e11e9c76f981e844b8593459295d9841bd5f7d952c7

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

Resolution
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:c5efdbc28424df519970a2260813cc38fe91c59c84b87c0ea5a7d78a89109db0

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=sha256:1e18e77157b7500f778d19077315aae0fa6dfbe04f739ddb11aeb7dbf2716a78

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.420971Z digest=sha256:7d68bef459ed043e369b961a603f13a6fa6d64589f0e741f72a554d1d7dd79dd

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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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=2026-08-10T10:11:39.425991Z digest=sha256:ba55c88d5fbb5d978f1ebd5e53c6ce05073754dab0d4f74239d9ae330126d953

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:f41c02b2c426540b27dc40c74f6f436004220c03ff2eb54c10853e506f53e70c

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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no resolver link, observed 2026-08-10T10:11:39.434497Z

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source=arxiv_source observed=2026-08-10T10:11:39.434497Z digest=sha256:d0861d889339fbddcf6bccdbdcce8dbcf879980aff3b9073fa96b4bf187d2fde

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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source=arxiv_source observed=2026-08-10T10:11:39.439547Z digest=sha256:9b74ab3023fd96c155d5a080b3a0cfba4a8fc04a6184fbeb774b88cbc5c6b128

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=sha256:9ed83857671d26004c465dcb171f417e5a789aa698f503e87477451c508970f2

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=sha256:55f57a8aacdfc4570dba86755bb9768fe2b5697ea481ed1f42dbf7b41a62064b

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=sha256:5beacf942f2c08d5d24991c5292ac1255ca1bfc2a6353478bd437932348d88a6

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=sha256:37df9e85ef218df6d403f2074f978dc716165d45dea167baa1fa03c29e1145f0

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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no resolver link, observed 2026-08-10T10:11:39.463476Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.463476Z digest=sha256:5357a676fecb80262d8e7b217a3eca4511e0eea263017ca38cbedc8af7d957fa

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.468108Z digest=sha256:eb0f06fe8af784e0bbd75982eb4af42a3f119f85445dfc9d231fb8142bfa8912

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=sha256:0465d62681141a5d7e44ec368849899da921ba5fb73ce63605946130837baf28

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=sha256:997aa50acedb8f72b1e0ae2f8b0b17baeac43d35dc9ff59b80fa6de3a8322fd3

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=sha256:1d1927e41e5fbd72130b84f3d96049d939502ffe7780d7e4b5a63c216d919d0b

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

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=2026-08-10T10:11:39.487297Z digest=sha256:5aa16d214884fda504e1eda753151d0dc5e101548d33cf6c7d505f8a940d5748

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

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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=2026-08-10T10:11:39.492474Z digest=sha256:c349a46e642e587ac9f261fc984513016c4acb205522643a4212d2f36101e1ea

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:ef25fb6f59bdfe071ddcce5ce43b149349630697f80746235756de5683f87777

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=sha256:0d1e5e7844ed88979f1382c33e95d1485d6525590a435f9261269d6bcd192df3

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:bbb10ba44864326bd25db70bb32b8a1d4ef02890da6dd485555d751b378fb363

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=sha256:25d8055f5ea5fa1fc1a3eaea377d8b3c8839d97d7dede2f1970c81b7407a823c

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:f8eb6e645fa15dffd6478a9403ea436539411403b623c743da2cfb7cd5613885

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=sha256:5638d40cf6c9ace7c3efe58d592efb570ceed129046ab44f364c1344955d29cc

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=sha256:01e0b6f8936e8a73e169229403e0938c3e70ae03730d77a683f31bc6acc67e31

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:c0c263ff9089a70d9cf0d51d959f1e8cbf981174fc7d2e4252c6c38b3d9fd09a

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=sha256:2bfd8c838f8af2e6d7f209e043aca18c4751b87f30fde44a7498e47e4712990d

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:b8df090c8bfb828de258b844ef307b6be103040f7b8d2d8801202822a59131a2

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=sha256:83bec149abb5400a7e679306c90d4acc8af3027d5c67cf29992cfabdef3e59aa

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=sha256:1242ec6283a034b0621f52c1508ee6eed16b8f1d1e855c253ac59d7e5db9dce1

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=sha256:7a761de5a129947d7c557c1766adc19ef0bb440a769eadf8586215f02ab5c274

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=sha256:913306aeced644076986aa810d5c01b1e4e0d4193b69b410bf4807cec2d590c5

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=sha256:1aa6a56f6480a9631e4f4ba2c45d682a2540f4b5f04dc88ab8936c77a31c1c7c

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=sha256:86fa93565e6f0fe7a8ff74081dc459df371e015c217c62cbf2cbca5d80328106

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=sha256:514eb79e9a529250b69dd8c950571ed08f45874c931737c7b34729edcc3c4e7d

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=sha256:1e5cd94968136970ce61e5fdfd90a6320868f295eabea4d5940209980b0e792b

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:bbe0f9347781fb75427006d880271191b38eac707ea8315a25dfc11fb47eede5

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=sha256:5cde59dc3735c25737b4d14931e942c2a52e3a9061b78cf588cf3d7e218eb61d

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=sha256:8f24489695bfc39e10c0b829332e8724eea200e85fda0249f2ece82f718e226a

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=sha256:5d63bec9f12a0411d2e75372b068c8f26ec64b5a0d60f9d849ec442a4b15d500

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:eb90e4d851ad33255c8ba407fd054872691ffddeec785f39def4806367eae563

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=sha256:216a9bd4006580ea1feedd22564044fb5e093f78d9614f39f36f4b194a5ae64b

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=sha256:77da97f11110ca314809ace0a6d780d89d8460c48fb1d26fa6f706b41605e2b6

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:d7bd2936c40a85b4a03307edaab1c05290c2da9fa2b1708a917398ebeb146915

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=sha256:6d3d1784865bef7c486246cd1d06c7c670865eef699666ab275c85e2c36aefe8

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:ae66816258760ab215029a12dce1b096c8e517fff7d3c5b4ad53db80bdd4b47b

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:e01372a8a229423dbf54579e69fbd040fd044d07f7b86424697b4da65e29f346

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:e5c78f844eb6048ec75b8e019289fc5b8e8392dd055604865c752fef99978920

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:a0d4e8f926e6378bfc8e855a0a344f97ec4e1202ac5eca0a7133cb618a7d7971

Pith citing papers

No inbound Pith citation observations are available.