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Paper Citation Record · LEDGER

Relative Value Learning

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:2fb7e6fe61146ef96d7eb5d2e66b55c3841195476d6a4796ded203165aec5ab6

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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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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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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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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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:ef8f7a381fb2b919a4eb5748ed5b294c5b61b29d40017481065174745e5e7248

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:b7cc035727b5e6443d5d61eb13422fcc7f5d409aa32e019b59685f49dcf03d4b

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:c33b67e3c7b06dbe883791bdc81c04ade901ef81fcd44ebb631e9705697bb78a

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=sha256:3fa6d74a0440d9685833c377881f6d9b66bae89a98a3d604ef87e032f141b2ad

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:b699f96be60513a24203274b482a31c535ea98fc69e2c0d21582eb75f781cb99

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=sha256:38bd4caa0792e13dce861854b5fb0aaf4b50e621fe606c42bdfe81693f48ddfe

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=sha256:9ae5f68dda4c4b948ef15beb67c28c2d7694efcfe344d639fd6a3f5c60b3666e

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:ea9f463981eb0239bd03df7e6e417a721dbcb84dbab39c2fffe0c48a2b22f89d

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=sha256:05376f79761fffa0f2dfedee4b0d912c0697810439ec8a4396cfbf350d006654

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=sha256:46082e4a93a074160e3f420f7c8a29589e0b67714758343e59e0f2a814a8f87e

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:d1db031095f61d82dc06ff99529f612102e4a3a0937e84b7bf46af300b4b5529

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=sha256:076572bd3d3f23de70adc7bd1438a6c25c86f9c80dac6d0da7ad7f96d253e0e0

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=sha256:7607ab4d5d49f59ebf684c829f5758f4d69370fd9d0beb558efa5eb11ff5d6e5

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:cd3348ba5ab0a91a3fefe988db70e773530ee3b4a9cc8b15b74827b596f504a1

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:c9b0b24cd1e1f19c49781ca7631b62f76836767e7a1b22833aec0d6cc96cb123

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=sha256:30a15d6efd35b614665debfad7ce18600abf600cbf4a081fe1487f1b8caf6b17

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=sha256:48c9b765549ae0bdbcafa8db309946e2935271535f362c04b38982c7de388b2a

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=sha256:2985a475a08f0578aa32e42bd74976fcd53d1d303810b799ce5067871465f22f

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=sha256:4a55d2b9199ec1e93cdd23d0cd2ebbcfd61fe37dcc03714a9ae1dfa0819b03ac

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:fa6413decfaf74184605728f516feb4373e3ec6c3476a8c8f35a2a6bc5c20bd7

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=sha256:262c63248b02ebc92ab84f6b4b438ba95304b1ff1e932887b5bc69cf2605960d

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:aeb039a442ba806d4ab49aa44b8864db86cf15518e5942bca5ebfc96fd67f324

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=sha256:6a7a42a16e469f330b85815f5661c6709c869612ee2f32cdfd2f6662a55552e8

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=sha256:1fbdceb62b57a8a265211ad453d54301baef4a5de85763c871ca695d231805e4

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=sha256:3f80acc5756dbb3b0192ebbd9139c150dfdbac3483b8d74c171f6452972354c9

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:e0e2b1ff569530cd5ad87e181863a6a8db8b21f6c482ea08baf9957a79ea2f3a

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:a95e1d3f2d59a5d85dfc86d5239f74d5ded849c71aa0c09d2f6698789dddaaaf

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=sha256:95897236a5bc740a8bcd7f8e2e72a8e2972f3a0e6b2eaf56ada09455546a35a8

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=sha256:74696da2a9d1334312845b05255822c51d594d7bd990491b00fd8625e6985078

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:bb1793cff38bde536515ddf37ee0427db5b7fc60ee12b3c2362bc7b48c4d6951

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=sha256:3c7f0b2456d209c3c750ddc4a2e1d2a83b3041c67d97f3410c70840de95eeaf9

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=sha256:0a4880473053386e0ee71140b90b33424b286e9936ab1e5fb5998454f8037544

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=sha256:456580ec765dbe4a58592cdbd7bb01cb8d43516a220fe455aff31c113a1a804d

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:ecb14c594828b5bc22d0813cb4760459a33bdca3f5b4b867ad66258fc483e91e

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:bf9288a6516b700b630b7fc735eb0232bb1214a32823c8301bfe1b8b76c282bf

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:a8afea86fd289c7469fbb8f2c3e9d28540a784812e37171abca1d9fdce0b8e8e

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=sha256:5a8657b5c8df0e651c1268ba1cb8b3a1b0d6887d2b6177efff6f5cf9787c3e18

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=sha256:9b8f331b32695e578f90341f482b337f7e77c0128a2df7d1492312acd8a043df

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:d28f1b77231f9c0bc50e5cff79098f48caa0f7ccb000fcf4b6d2d8152e155e1f

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:a8582a6e3ceb55c598864835197e9807029bddf5f0276f92507eca5411302738

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=sha256:151c86d7b27464c8e633ae4a5a46dc9c6e80b44433e484265df26f8c337709f7

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=sha256:0688da256c01219db5a1d42a56b6e1f7c45e305aa6375d629ddaadbc1d68b86d

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:f12edbde34d576356f3e27b644e0a9fe6aaea7da7984c75762236e52a9abeb79

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

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source=arxiv_source observed=2026-08-01T08:32:00.268821Z digest=sha256:a5e1cc30f7a3eebc3b3ca6151d801e5be5b3fdf0da51d6b4838cf69408af5c2e

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

This paper cites 2016 , publisher=.

Relative Value Learning 2016 , publisher=

Reference 87

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source=arxiv_source observed=2026-08-01T08:32:00.272475Z digest=sha256:0a9faab2cb781ef0b1be129a03c62a618484005df47dce02280692bb3e50c9a3

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

This paper cites 2018 , publisher=.

Relative Value Learning 2018 , publisher=

Reference 88

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source=arxiv_source observed=2026-08-01T08:32:00.276036Z digest=sha256:edce29833a3a72482a90d6ec937d2db38460a4043bbdadd4c510809d60d742a8

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=sha256:452df062215fd23bbe401a56fad436a788ba33c70226bb4c89d67c5775ecd9d2

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

This paper cites 2017 , publisher=.

Relative Value Learning 2017 , publisher=

Reference 90

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source=arxiv_source observed=2026-08-01T08:32:00.283336Z digest=sha256:baeafe3d598b4b41bd54f1a53ae80ef7df8eac4edf57d7fc427b34cac0dd2da7

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:c6d847f73ade61dd9150805285376045aeba2a3823448b0107c9a60ca4c3b4bc

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

This paper cites 2019 , publisher=.

Relative Value Learning 2019 , publisher=

Reference 92

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source=arxiv_source observed=2026-08-01T08:32:00.291888Z digest=sha256:0f0aab0ce3b23793dee08ab2ffb285f213655ca1f89f88b2fab3cde28bb2531b

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:f45821572e597a4a65307f417f93bb40f14f8079393ae2b2fcedc39b902bc366

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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source=arxiv_source observed=2026-08-01T08:32:00.299191Z digest=sha256:ffc3425298fcfd29c8c6704c4ac58ca342aa94905410876efb17598474ebb975

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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source=arxiv_source observed=2026-08-01T08:32:00.303287Z digest=sha256:f0bf4ce3ba5d4b94b05b08164a6a29ca8b5192e9bf8ddca55465b8f8ec51000e

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:d0f125951e7872243b45994ad711c2d229a4373f2ea1206cc76e4d86a4737b24

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=sha256:5cf2d57681a114091dcb89199b86bb5c7d84589e1fe60f58ae559147e038b952

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

This paper cites Science , volume=.

Relative Value Learning Science , volume=

Reference 98

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source=arxiv_source observed=2026-08-01T08:32:00.314338Z digest=sha256:d3ab0c6e6480d533da48852f3592ae3e456a89068de54f0380324db13caffda0

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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source=arxiv_source observed=2026-08-01T08:32:00.318171Z digest=sha256:58c4530bb2440b68935fe8f167a9f81fca7caeee53da9d9c39af87fb19942673

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:f06a65ca1cff06b8e310a4af20881226d5723e3ebcf238bd786756e0faae02e2

Pith citing papers

No inbound Pith citation observations are available.