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Paper Citation Record · LEDGER

Relative Value Learning

As of 20 August 2026, this Paper Citation Record lists 100 of 137 outbound references and 0 inbound Pith citation observations for arXiv:2607.21120.

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

pith.paper-citation-record.v1
2607.21120 v1

Coverage vector

measured 100 of 137 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:32:00.321628Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

100 of 137 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 0d576ef1-3c54-46f8-a215-e8038d754ee2 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 1

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Observation 89ad0822-cd39-4f62-bac3-f86e9da0ee78 · outbound

This paper cites Proceedings of the Annual Allerton Conference on Communication Control and Computing , volume=.

Relative Value Learning Proceedings of the Annual Allerton Conference on Communication Control and Computing , volume=

Reference 2

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Observation 168953f0-6a32-417d-bfcd-af6ae6f6bfb4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 3

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Observation 6d845c01-746b-47f1-966e-0e53d0ecfa61 · outbound

This paper cites Encyclopedia of optimization , pages=.

Relative Value Learning Encyclopedia of optimization , pages=

Reference 4

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Observation 6ff913ef-2cd1-485a-bcec-5f5a53f633a8 · outbound

This paper cites SIAM Journal on Control and Optimization , volume=.

Relative Value Learning SIAM Journal on Control and Optimization , volume=

Reference 5

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Observation 4eca9edb-f705-4c12-a22e-f817c376c717 · outbound

This paper cites 2014 , publisher=.

Relative Value Learning 2014 , publisher=

Reference 6

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Observation 3e2ea393-700c-429f-b70d-b14199f9460f · outbound

This paper cites Icml , volume=.

Relative Value Learning Icml , volume=

Reference 7

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Observation 24a885e4-2027-424b-92da-172acff2bafe · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 8

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Observation f6a10bb8-6774-4bda-b855-17cafc65cb99 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T08:31:59.982648Z digest=sha256:2bac07b41317f59c080f929ebb60f4f1c82ed8adf5825d1bc037c7e15f80edea

Observation 6b71877e-3f6a-4bd5-9b98-d137d54281ef · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 10

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Observation 263ee092-3e03-4062-9e9e-909c61b4999c · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 11

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source=arxiv_source observed=2026-08-01T08:31:59.990312Z digest=sha256:a3e2f602254c64a78ec0a95c5d61261b1c635e7bb0e3c25f3934e1866bbe82ed

Observation 627abe0b-a60c-4105-9d41-fe90cd31776b · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 12

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Observation 556e2d44-e21e-49a4-ba99-62f0046628ea · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 13

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Observation eecf4f26-7b8a-49dc-afb4-a778e941ba38 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 14

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source=arxiv_source observed=2026-08-01T08:32:00.000811Z digest=sha256:f1ff10694995ccc86e194cda462e245a3cd271d2133bc70e18671a676b428326

Observation ce7949ea-bda8-440d-a757-12be68097a8b · outbound

This paper cites Sample Efficient Actor-Critic with Experience Replay.

Relative Value Learning Sample Efficient Actor-Critic with Experience Replay

Reference 15

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Observation 5828abeb-c244-4eba-a000-1ce396dc76fe · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 16

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Observation a3b671b8-9caa-4f00-93d4-481db103dd08 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 17

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Observation 2884477e-9bd9-4fb4-bfe4-a28089b53237 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Relative Value Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 18

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Observation 703baa5e-1d4f-4cce-8642-aff5faab71a4 · outbound

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

Relative Value Learning Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 19

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Observation 37065787-596c-4cad-b56d-92035bd7440e · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Relative Value Learning Proceedings of the IEEE international conference on computer vision , pages=

Reference 20

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Observation aa85a5ad-22b0-4ee4-9e59-76013191138f · outbound

This paper cites GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance.

Relative Value Learning GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 21

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Observation c1400866-df0a-416e-bec8-1c231eeca9c0 · outbound

This paper cites Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=.

Relative Value Learning Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=

Reference 22

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Observation e686bb41-4f0c-49ee-879c-b9acad96b0a8 · outbound

This paper cites Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.

Relative Value Learning Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

Reference 23

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Observation fed7bf0b-d4ad-40d7-b057-4cfa2823bd23 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 24

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Observation fbbc1e17-b9c6-487b-b32b-7988d58fc7a3 · outbound

This paper cites Artificial Intelligence Review , volume=.

Relative Value Learning Artificial Intelligence Review , volume=

Reference 25

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Observation 09311152-f594-4260-a631-5809fb057196 · outbound

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

Relative Value Learning Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 26

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Observation e636a94a-449c-4a02-be9c-bcf9eb6cd3b3 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 27

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Observation ce1e0e09-7922-4495-858d-3e8361cc5aef · outbound

This paper cites Conference on Lifelong Learning Agents , pages=.

Relative Value Learning Conference on Lifelong Learning Agents , pages=

Reference 28

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Observation 1aafc077-d9d7-4034-b4fb-f57b39db3ec5 · outbound

This paper cites Deep Reinforcement Learning Workshop NeurIPS 2022 , year=.

Relative Value Learning Deep Reinforcement Learning Workshop NeurIPS 2022 , year=

Reference 29

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Observation 0165518d-d6da-4831-8f33-afa3515f3912 · outbound

This paper cites Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.

Relative Value Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 30

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Observation 7f1d3b6c-9580-4f56-88e8-49c6ba2b11b2 · outbound

This paper cites Towards Deeper Deep Reinforcement Learning with Spectral Normalization.

Relative Value Learning Towards Deeper Deep Reinforcement Learning with Spectral Normalization

Reference 31

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source=arxiv_source observed=2026-08-01T08:32:00.065224Z digest=sha256:eef22032bc8663878d365ea77d233170cec09860b4abe9677edaeb6af7feec31

Observation a9aed3e1-703b-4f9f-b7f4-13b961551d02 · outbound

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

Relative Value Learning CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

Reference 32

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Observation 2ee1e8fa-4456-4f22-a346-809c2d6cfcd4 · outbound

This paper cites Normalization and effective learning rates in reinforcement learning.

Relative Value Learning Normalization and effective learning rates in reinforcement learning

Reference 33

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Observation e3fea54b-8c24-4758-b7bc-6a3619950a96 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Relative Value Learning Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 34

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Observation 2fbe75f2-7baf-41c0-a207-17914736a68f · outbound

This paper cites Neurocomputing , volume=.

Relative Value Learning Neurocomputing , volume=

Reference 35

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Observation f194f467-42d2-4ee8-827b-b6aebe2545d3 · outbound

This paper cites Neural Networks , volume=.

Relative Value Learning Neural Networks , volume=

Reference 36

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Observation ce9b018b-db8a-4e07-af70-6a92758acf30 · outbound

This paper cites international conference on machine learning , pages=.

Relative Value Learning international conference on machine learning , pages=

Reference 37

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Observation 7b6cfe6a-fb6c-4254-baed-806059435fd6 · outbound

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Relative Value Learning Searching for Activation Functions

Reference 38

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Observation 69e7ea55-825c-44ec-94bc-4b07c8d6d11b · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Relative Value Learning Mish: A Self Regularized Non-Monotonic Activation Function

Reference 39

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Observation 5f94e844-33cd-492e-abc0-801dc1a6dc51 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Relative Value Learning Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 40

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source=arxiv_source observed=2026-08-01T08:32:00.098155Z digest=sha256:48dcaa886e0efeb427137c95e6658cad048fedb8b10e1b0cc0771b632e5207d6

Observation 0f8e689c-d8b4-4d65-93eb-53e3a72cd5d4 · outbound

This paper cites Neural networks , volume=.

Relative Value Learning Neural networks , volume=

Reference 41

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Observation 361a3a9c-fa6a-4465-a9cd-af8c0e53c58f · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Relative Value Learning Gaussian Error Linear Units (GELUs)

Reference 42

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Observation 95f13796-f1e7-413d-a342-83d370c15dd5 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-01T08:32:00.108946Z digest=sha256:d6ac4573e8f3b5cfefb5f51f3f4ffc9a2bc9ecfdbd5a3262a26aee89b480fa7f

Observation 1501f658-0aeb-4008-83b8-7faf5dee7618 · outbound

This paper cites Proceedings of the 27th international conference on machine learning (ICML-10) , pages=.

Relative Value Learning Proceedings of the 27th international conference on machine learning (ICML-10) , pages=

Reference 44

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source=arxiv_source observed=2026-08-01T08:32:00.112314Z digest=sha256:97bda37a37446465a13fc02639d4d583e5bbcb4c73a6533164cff451bbdc1927

Observation 1aec2436-cccf-40cf-bc03-d43699e1fd0a · outbound

This paper cites Neural networks: Tricks of the trade , pages=.

Relative Value Learning Neural networks: Tricks of the trade , pages=

Reference 45

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source=arxiv_source observed=2026-08-01T08:32:00.115769Z digest=sha256:64009f3237a9215ede04330d02ff9229fdd6e9d59a288523cd0c18a563558821

Observation 0760b783-0412-496b-b2b4-4389fc49f94d · outbound

This paper cites Human-level Atari 200x faster.

Relative Value Learning Human-level Atari 200x faster

Reference 46

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source=arxiv_source observed=2026-08-01T08:32:00.119566Z digest=sha256:37018fc33d622584534b978dbbb999c94656a72e046e5b861163140b437df756

Observation 13f1f862-a35b-4335-9da9-aea52dd2bd38 · outbound

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

Relative Value Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 47

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source=arxiv_source observed=2026-08-01T08:32:00.123537Z digest=sha256:82e1c4c31b23b92689ab5fb847fe0237a4a7855c7bad94d736a003fcfb403792

Observation 134d768b-fcb2-454a-93de-23f4b2d7c7b7 · outbound

This paper cites Architecture , volume=.

Relative Value Learning Architecture , volume=

Reference 48

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source=arxiv_source observed=2026-08-01T08:32:00.127013Z digest=sha256:20ea5fa88e4448592884181e3b518923eae16b288439c55e65be0200ef1313e4

Observation 0d006a61-58a3-465c-bdb6-9bbb8ba0591f · outbound

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

Relative Value Learning International Conference on Machine Learning , pages=

Reference 49

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source=arxiv_source observed=2026-08-01T08:32:00.130583Z digest=sha256:02ab66f5e4be01a35215733363d58bd2a57331799937f8962ec5b474a828a43a

Observation 822c9805-a5e3-4477-a1aa-446857be4522 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 50

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source=arxiv_source observed=2026-08-01T08:32:00.134095Z digest=sha256:1f8457e7c01c5704e0904f60ee407ea292d114f6eaf290bc65a2ef9ccd2091c4

Observation c7f76e2d-c5d0-4b56-aa6e-a1c8e71175e7 · outbound

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

Relative Value Learning Journal of Artificial Intelligence Research , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T08:32:00.137830Z digest=sha256:eb7e498bfcbcc5540e2fec48de22d8109bd68d6819fc355a0f59a550ec41cb2c

Observation f3da6a7e-36b6-4c0f-80ae-bd353f47048b · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 52

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source=arxiv_source observed=2026-08-01T08:32:00.141273Z digest=sha256:2ee87d8d577196f91d619a7598887bb89a44840fda86c32746f74ed21b4470dd

Observation f71ec251-39bd-45e5-95ec-ecc982358084 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T08:32:00.144667Z digest=sha256:65b12741736f7f13b1e65bdc5e12dde01ebe47469cf4cc2e92dcea81a81ec4be

Observation ff361e76-87f1-41bc-b688-c99bdd2178aa · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T08:32:00.148174Z digest=sha256:dd2f39937b2c93fb484c9a3972976d045414ff62b919286844ed925298581ae1

Observation 9a5444a1-2a89-4c0d-9622-82af275e4a0b · outbound

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

Relative Value Learning International Conference on Machine Learning , pages=

Reference 55

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source=arxiv_source observed=2026-08-01T08:32:00.152574Z digest=sha256:ec51d1427b7fa4a7413ed16995dcaa73e80b5f54575675109f09c576e3a2a908

Observation ab3afdb4-f463-40a6-892e-669252d517b1 · outbound

This paper cites Nature , volume=.

Relative Value Learning Nature , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T08:32:00.156266Z digest=sha256:0fad76424db92f6f1a34264603cbd50cb383b140757a5c8a471deba2c056c895

Observation 955943a4-07ea-4bd6-bf5a-c4fd2dc28a64 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Relative Value Learning Proceedings of the national academy of sciences , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T08:32:00.159791Z digest=sha256:b305a9e55147969996304c7aef73428a3c11fcf8ed43388da9dbb4991429b7b9

Observation 940a953d-5fd4-40d4-a9c8-5eaa08987692 · outbound

This paper cites Trends in cognitive sciences , volume=.

Relative Value Learning Trends in cognitive sciences , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T08:32:00.163313Z digest=sha256:e4b98b53b5669753a36a3c45b41c4f72ef31c1f14c5e30ce313c00fd91e27f63

Observation 61e57539-d895-4a47-a24c-5b280cef3086 · outbound

This paper cites Psychology of learning and motivation , volume=.

Relative Value Learning Psychology of learning and motivation , volume=

Reference 59

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source=arxiv_source observed=2026-08-01T08:32:00.167011Z digest=sha256:04a7a9926e3820d1c7dec620a426d2a8c404e87d7cc42e429b01d1735778ef27

Observation cce3e59a-081f-44df-b8ed-6f7323e379ab · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Relative Value Learning The Twelfth International Conference on Learning Representations , year=

Reference 60

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source=arxiv_source observed=2026-08-01T08:32:00.170733Z digest=sha256:01f90febc8ce511d9f388a74d7bc6fc2d5826e46635e943c4e70ff07388c2c12

Observation 3b5d458b-1063-4dcb-bccc-c51a77e9e722 · outbound

This paper cites Disentangling the Causes of Plasticity Loss in Neural Networks.

Relative Value Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 61

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source=arxiv_source observed=2026-08-01T08:32:00.174220Z digest=sha256:3a294ba56781b2dc73b0b6dda4dd3fc3c0fc5057299b4e44f2118ca08f3ea54f

Observation 5349a75b-0367-4be7-99c1-a8f420d5ca75 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Relative Value Learning Scalable agent alignment via reward modeling: a research direction

Reference 62

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source=arxiv_source observed=2026-08-01T08:32:00.178072Z digest=sha256:30d760409840232f9c9acf8f6249ac5de35b7639a76d56ee3da2ac701b031cc3

Observation 9b2aa3fc-01cd-4289-94fb-86e6066690e7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 63

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source=arxiv_source observed=2026-08-01T08:32:00.182117Z digest=sha256:a58a39b0f34c2eec75c3f6a1a1a73eef15ea21af5af915387d5a39e7bd143223

Observation 5bab5f36-7dde-4bc5-a4e4-7b791a3a692e · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 64

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source=arxiv_source observed=2026-08-01T08:32:00.185583Z digest=sha256:4a516dbb7d287730a980b878edbfc7697275c8f584f775d2a4e507601997085e

Observation 3e77d4dc-1893-4572-8978-e232590ec55e · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 65

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source=arxiv_source observed=2026-08-01T08:32:00.189692Z digest=sha256:05e47412b37e99c3164dad1e5992c39540f853622c612d1f78b0eca0ac8b12d6

Observation f905dd73-dbce-46dd-8aaa-709414ac1df3 · outbound

This paper cites 1982 , publisher=.

Relative Value Learning 1982 , publisher=

Reference 66

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source=arxiv_source observed=2026-08-01T08:32:00.193919Z digest=sha256:d6cedba130f2a27c2e2ca91431394c028db59b831beeaea8c6c1cea794fe4475

Observation a20e86a1-d6c4-4a00-bf3f-c9228f381985 · outbound

This paper cites The Sciences , volume=.

Relative Value Learning The Sciences , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T08:32:00.198037Z digest=sha256:efc08767e31a997a31690a8af2e9262d587e072e80e264c5aa6aeac3cb1c9ba2

Observation 54eb23d0-d9fa-4f13-9709-8c3b56151020 · outbound

This paper cites Managing extreme AI risks amid rapid progress.

Relative Value Learning Managing extreme AI risks amid rapid progress

Reference 68

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source=arxiv_source observed=2026-08-01T08:32:00.201622Z digest=sha256:769b8f8d3b0504e54f98bf0e889a1d4b1add6855d7de667fc123d7e19c9c7456

Observation 9293439a-c9d3-4ab8-8e3f-40efcd7078d9 · outbound

This paper cites , author=.

Relative Value Learning , author=

Reference 69

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source=arxiv_source observed=2026-08-01T08:32:00.205545Z digest=sha256:f627684fc189457980f99c3baeada498ee6f60258a575ffe50ac89ad4f683aa9

Observation df4aadff-d7cd-439b-b8bf-498d0f0bb0c0 · outbound

This paper cites Conference on robot learning , pages=.

Relative Value Learning Conference on robot learning , pages=

Reference 70

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source=arxiv_source observed=2026-08-01T08:32:00.208882Z digest=sha256:f715ac92e6641051e83d9d2cf7ff59ed3960deb11e6471eb748cf7dca3eb007f

Observation 1de3e3fb-fa70-4b25-adea-d7ade3043892 · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 71

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source=arxiv_source observed=2026-08-01T08:32:00.212934Z digest=sha256:6fe5c2770bc11914fb402f3eef928df09f14052eb37bd92ba8757edad8f28180

Observation b3e32f87-a441-4263-809c-a4a3d86656f3 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 72

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source=arxiv_source observed=2026-08-01T08:32:00.216413Z digest=sha256:23b3b48082a1d6c664319fcac221b1bf6c5fd6733a82643d2dc53b71ebf857c4

Observation 872d3749-4388-436a-9ef2-e6857443b901 · outbound

This paper cites Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Relative Value Learning Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 73

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source=arxiv_source observed=2026-08-01T08:32:00.219755Z digest=sha256:119a1acc3b34fc61dc48d3f29d37165f689c5348744fc48289e3b09633e108b6

Observation a5828539-3fc5-4a2d-a8b3-61d5b956d002 · outbound

This paper cites The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=.

Relative Value Learning The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=

Reference 74

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source=arxiv_source observed=2026-08-01T08:32:00.223730Z digest=sha256:109f0a8289d5c30236fb9240cc15978ccf63c46c3e0bc56f471fa4a137171cb1

Observation 28ed6931-b683-4459-9251-8af966a5ae8a · outbound

This paper cites IJCAI , volume=.

Relative Value Learning IJCAI , volume=

Reference 75

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source=arxiv_source observed=2026-08-01T08:32:00.227892Z digest=sha256:d35ce42fea7a978cba976701bf8a963fd74a54303ce7f993eb7346f2cfd4abe3

Observation 29671395-2eda-4062-ac0f-869e1d2100a9 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 76

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source=arxiv_source observed=2026-08-01T08:32:00.231483Z digest=sha256:18e2f75eee3e407ab7c5b26cc2f3f20d2c0cdf9baff142f2f9d98dd85c07d17a

Observation fabaea2b-a096-4435-85e9-743e34db4f37 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 77

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source=arxiv_source observed=2026-08-01T08:32:00.235004Z digest=sha256:ad804a50606f66e6c12bd07e69f19f9fe62f93982611bbbf131be5be6b8caa9e

Observation a1c8e256-683b-4ecb-80f0-580dca024ff5 · outbound

This paper cites 1988 , publisher=.

Relative Value Learning 1988 , publisher=

Reference 78

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source=arxiv_source observed=2026-08-01T08:32:00.238701Z digest=sha256:0e931214ef5fce38864aac0de9cca1a348542417a1eb33880c3adc6d5f53b703

Observation 03bddbdd-0e0b-48df-8155-1c1800180def · outbound

This paper cites arXiv preprint arXiv:2401.12963 , year=.

Relative Value Learning arXiv preprint arXiv:2401.12963 , year=

Reference 79

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source=arxiv_source observed=2026-08-01T08:32:00.242507Z digest=sha256:15884db5e08158b5d7601022a215ea7af4cc3d3474b3cb5afa00ce753bf07821

Observation 9c5a4008-b189-42fc-a473-e01a54a376d4 · outbound

This paper cites Foundations and Trends.

Relative Value Learning Foundations and Trends

Reference 80

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source=arxiv_source observed=2026-08-01T08:32:00.246419Z digest=sha256:375af8a65c2da69af881d4e219250a81556d5925644cf8f32aa59dcdbd59f609

Observation a20579ec-c3f1-41cf-a8c7-4fcd1674e705 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 81

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source=arxiv_source observed=2026-08-01T08:32:00.250330Z digest=sha256:69d8552b3a3d3831c633a0df9d574c7de6823ccae3f41fd5b885d477e9873890

Observation 60afc1df-3fcf-4008-a02c-480292e4773c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Relative Value Learning Playing Atari with Deep Reinforcement Learning

Reference 82

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source=arxiv_source observed=2026-08-01T08:32:00.254106Z digest=sha256:e5b6bde821e73a5226182797b92c84edbc6160d73a29f88c7f6306f9c3412ba2

Observation 4b6b982a-b5a7-4997-b16f-8443704ff472 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 83

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source=arxiv_source observed=2026-08-01T08:32:00.258113Z digest=sha256:6ad1c8a4de8807fd623db091d915c80a7311e01ce0d0fdd14d8ffbfa2369a690

Observation 15c762ce-cbed-484b-9ce4-2bd1bccc9165 · outbound

This paper cites Emergent Tool Use From Multi-Agent Autocurricula.

Relative Value Learning Emergent Tool Use From Multi-Agent Autocurricula

Reference 84

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source=arxiv_source observed=2026-08-01T08:32:00.261730Z digest=sha256:d512deda5e04677d0ab91a69382332f6d5736a6d6f4c599c9b8e5ef894e54301

Observation 2be6bcf7-f9f2-41ec-a4d5-13da87948a77 · outbound

This paper cites Artificial Intelligence , volume=.

Relative Value Learning Artificial Intelligence , volume=

Reference 85

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source=arxiv_source observed=2026-08-01T08:32:00.265399Z digest=sha256:70ac321ff985e243e35cb6a3c6556a329c093ba8e495b573cb53637208a25525

Observation 1061a391-ed08-4731-953d-9dafce161790 · outbound

This paper cites Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011.

Relative Value Learning Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011

Reference 86

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:32:00.268821Z digest=sha256:562888adc087f05bd89d610fb6d1f7a8cd012e5192820753a1e351a60b7252a4

Observation 7606a3c0-30d9-4f89-b430-a2bc481791c9 · outbound

This paper cites 2016 , publisher=.

Relative Value Learning 2016 , publisher=

Reference 87

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no resolver link, observed 2026-08-01T08:32:00.272475Z

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source=arxiv_source observed=2026-08-01T08:32:00.272475Z digest=sha256:67a7cb44cf94b12795f1cbb71a89c9674c39a9ad7222e4da68abddef89dfdfc3

Observation 1eb059e8-0796-49fb-a654-29e0d6b39291 · outbound

This paper cites 2018 , publisher=.

Relative Value Learning 2018 , publisher=

Reference 88

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no resolver link, observed 2026-08-01T08:32:00.276036Z

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source=arxiv_source observed=2026-08-01T08:32:00.276036Z digest=sha256:79d4990f8201bc3c0080120abb821e2ddfb9ddec6e2e98b9de81eb9ba761531d

Observation ee961421-1064-4aa3-a697-2f377c46547e · outbound

This paper cites Artificial intelligence safety and security , pages=.

Relative Value Learning Artificial intelligence safety and security , pages=

Reference 89

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no resolver link, observed 2026-08-01T08:32:00.279641Z

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source=arxiv_source observed=2026-08-01T08:32:00.279641Z digest=sha256:633ffa5e7c797dda1a9c2b7eb728dc648d9f88055f444b6f5e5d580728d230d0

Observation 53298e9f-92e3-463e-ba98-c3f06e25e72c · outbound

This paper cites 2017 , publisher=.

Relative Value Learning 2017 , publisher=

Reference 90

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no resolver link, observed 2026-08-01T08:32:00.283336Z

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source=arxiv_source observed=2026-08-01T08:32:00.283336Z digest=sha256:1a57a4b0261c4ced324629b641aa9c5303f949eb12e66a976b3287cdbbb7e520

Observation ec5365c9-ff96-483e-9d42-16b574ccc378 · outbound

This paper cites AI Safety Gridworlds.

Relative Value Learning AI Safety Gridworlds

Reference 91

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source=arxiv_source observed=2026-08-01T08:32:00.287868Z digest=sha256:a2e6d8b2aec03e47db53505840e5143af56f2dd2e30781f603917b9358f97025

Observation 9bb48be5-96cf-42bf-ae44-b9f427458deb · outbound

This paper cites 2019 , publisher=.

Relative Value Learning 2019 , publisher=

Reference 92

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no resolver link, observed 2026-08-01T08:32:00.291888Z

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source=arxiv_source observed=2026-08-01T08:32:00.291888Z digest=sha256:8ba88f2c17fada5937f64019230f88fc64e94a84cdd91502a9761519fee1f273

Observation 9673b897-fbf1-46db-8c1e-78c51b7eee10 · outbound

This paper cites Global catastrophic risks , volume=.

Relative Value Learning Global catastrophic risks , volume=

Reference 93

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source=arxiv_source observed=2026-08-01T08:32:00.295444Z digest=sha256:1ece35a693d0eed8763ccca2d3ecf3633a2207537eac135756ba7ec5a27e6857

Observation 16b3f2d2-41c9-432c-bbbd-af638e9c4a59 · outbound

This paper cites Road vehicle automation , pages=.

Relative Value Learning Road vehicle automation , pages=

Reference 94

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no resolver link, observed 2026-08-01T08:32:00.299191Z

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source=arxiv_source observed=2026-08-01T08:32:00.299191Z digest=sha256:76b321637f010cd95e92b9bc0ec2cceda552987a8cc5b89cd605870789136574

Observation 3457083a-a7bc-47d0-b118-90ca9cd88342 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 95

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no resolver link, observed 2026-08-01T08:32:00.303287Z

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source=arxiv_source observed=2026-08-01T08:32:00.303287Z digest=sha256:953d6a3b1b99c727a8396d5bc68efc68ac328463b0521dd44dd0934192eb91b3

Observation 0c386f22-0c3d-4de4-b447-e946b142f27d · outbound

This paper cites Concrete Problems in AI Safety.

Relative Value Learning Concrete Problems in AI Safety

Reference 96

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source=arxiv_source observed=2026-08-01T08:32:00.307147Z digest=sha256:f645b4fb1f7f7cba56aa57b09b2170c7b7f6a4f9ecc33b4e777b734139922271

Observation b9183977-9950-4e78-9b5a-21aaac9b632f · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 97

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source=arxiv_source observed=2026-08-01T08:32:00.310932Z digest=sha256:a597adb740089452b0d6785d26088c5551d0d544ef364a3b83cbde369a2fd22e

Observation 297e3ac7-aa16-4b16-8413-29e82563c011 · outbound

This paper cites Science , volume=.

Relative Value Learning Science , volume=

Reference 98

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no resolver link, observed 2026-08-01T08:32:00.314338Z

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source=arxiv_source observed=2026-08-01T08:32:00.314338Z digest=sha256:72ebb88cee7a1cd7ff7fdd872fb54691a61743c002b1f47f3057c54b60a806c2

Observation d7f05819-c79a-4064-a650-7a7036c51ad2 · outbound

This paper cites Conference on robot learning , pages=.

Relative Value Learning Conference on robot learning , pages=

Reference 99

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no resolver link, observed 2026-08-01T08:32:00.318171Z

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source=arxiv_source observed=2026-08-01T08:32:00.318171Z digest=sha256:2490d5411d80eb51d57931a91394820c713f40f9e1974bfadba7c5d993aee61f

Observation 57340d75-440f-4cd2-ac37-e662ef3b1303 · outbound

This paper cites The International Journal of Robotics Research , volume=.

Relative Value Learning The International Journal of Robotics Research , volume=

Reference 100

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source=arxiv_source observed=2026-08-01T08:32:00.321628Z digest=sha256:935e320c2f7f31f0081d4e18bcf31eb15d6439e27ca5a7418c0a87938ac14835

Pith citing papers

No inbound Pith citation observations are available.