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Paper Citation Record · LEDGER

Parseval Regularization for Continual Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 1 inbound Pith citation observation for arXiv:2412.07224.

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

pith.paper-citation-record.v1
2412.07224 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:06.128110Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T06:26:20.393476Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T06:27:24.508641Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved60
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation d9949f2d-90b6-46b8-8e7a-bc8eda0a52bc · outbound

This paper cites Loss of Plasticity in Continual Deep Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning Loss of Plasticity in Continual Deep Reinforcement Learning

Reference 1

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source=pdf_text observed=2026-08-11T19:03:05.868144Z digest=sha256:ac4ebec012472384d9f8e9bdec94adc7ca3fb7bd757a318a95f87465f2c2c037

Observation 4e483e6a-841b-4f7e-880c-4b057be21308 · outbound

This paper cites Critical Learning Periods in Deep Neural Networks.

Parseval Regularization for Continual Reinforcement Learning Critical Learning Periods in Deep Neural Networks

Reference 2

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source=pdf_text observed=2026-08-11T19:03:05.872258Z digest=sha256:1ce129843dd85b35f7b648acc93f57482af20240882be18e2f10b715da1a5949

Observation bea16c5f-c88a-4bbb-a24a-712c776ebd3c · outbound

This paper cites Agarwal, M.

Parseval Regularization for Continual Reinforcement Learning Agarwal, M

Reference 3

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Observation c2bbcaa0-be32-4c95-b880-c377da0f3480 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 4

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Observation 4f15c555-aed4-42c6-8c86-792e70b39711 · outbound

This paper cites Ash and R.

Parseval Regularization for Continual Reinforcement Learning Ash and R

Reference 5

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Observation 8545cf11-27f7-44ae-b9fc-c54edd547a5e · outbound

This paper cites Layer Normalization.

Parseval Regularization for Continual Reinforcement Learning Layer Normalization

Reference 6

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source=pdf_text observed=2026-08-11T19:03:05.885433Z digest=sha256:805e036c0d66c92e2d1f4514fa1cd4e21049c29c29f4da6b0c8800a6301c0da3

Observation 9504f469-2e2e-449f-936e-754550c1c3c0 · outbound

This paper cites Bachlechner, B.

Parseval Regularization for Continual Reinforcement Learning Bachlechner, B

Reference 7

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Observation 2c222379-ada4-4493-b81f-d502ee3b75f9 · outbound

This paper cites Balduzzi, M.

Parseval Regularization for Continual Reinforcement Learning Balduzzi, M

Reference 8

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:05.893692Z digest=sha256:466a05ebe5525b7efb78191f6c7172c96d7a394accbc525e1b35d4cdb2519f25

Observation aa7c5c56-21c7-4826-8abe-814ee965d67f · outbound

This paper cites CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Reference 9

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Observation 4e74fbb8-8c35-4abf-bf9f-378ea74a994f · outbound

This paper cites Blumenfeld, D.

Parseval Regularization for Continual Reinforcement Learning Blumenfeld, D

Reference 10

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Observation 34d038d0-2759-438a-9097-4ce4f49451a2 · outbound

This paper cites Cisse, P.

Parseval Regularization for Continual Reinforcement Learning Cisse, P

Reference 11

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Observation 4071d506-5b6b-4840-a554-bb28b80e121d · outbound

This paper cites Continual Backprop: Stochastic Gradient Descent with Persistent Randomness.

Parseval Regularization for Continual Reinforcement Learning Continual Backprop: Stochastic Gradient Descent with Persistent Randomness

Reference 12

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Observation 0ea83032-b837-4024-8ad4-9ec3ed2ad9df · outbound

This paper cites D’Oro, M.

Parseval Regularization for Continual Reinforcement Learning D’Oro, M

Reference 13

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Observation 0fb1a9f2-8205-4ebc-815d-57f8d9d76f1b · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 14

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source=pdf_text observed=2026-08-11T19:03:05.913431Z digest=sha256:b931676abd3ad0eeb0d543c3c9ab305bd005abf81600b5bff8ef50d4cdfbce9d

Observation f824c724-2a32-4e0c-88e3-d5761e0f9c1d · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 15

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Observation ffbe944b-2c95-43c9-815c-7bc77200aeb5 · outbound

This paper cites Glorot and Y.

Parseval Regularization for Continual Reinforcement Learning Glorot and Y

Reference 16

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Observation 9418ad2f-8394-452b-81d0-b100ac08a5bf · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Parseval Regularization for Continual Reinforcement Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 17

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Observation ba482d8d-087c-4a0d-b213-ee52e8ddfa86 · outbound

This paper cites Gulrajani, F.

Parseval Regularization for Continual Reinforcement Learning Gulrajani, F

Reference 18

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Observation c0596d99-a4ae-47f2-881b-f25bc20f3740 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 19

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Observation f1ada359-5b73-42fd-9d0d-b856a43698b3 · outbound

This paper cites Hanin and D.

Parseval Regularization for Continual Reinforcement Learning Hanin and D

Reference 20

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Observation 34b26e73-7bc7-4519-b214-85c80cc98a02 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Parseval Regularization for Continual Reinforcement Learning TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 21

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Observation 8e290d92-5d85-47f2-adba-4d1a1b7d1071 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

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Observation 2c581440-faca-4d51-905f-2bb20b467ba9 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 23

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Observation 90c77222-1aff-4fa0-adbb-b9977c00e142 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Parseval Regularization for Continual Reinforcement Learning Gaussian Error Linear Units (GELUs)

Reference 24

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Observation c8421c13-5e70-4800-a88a-caedb775cce5 · outbound

This paper cites Hochreiter, Y.

Parseval Regularization for Continual Reinforcement Learning Hochreiter, Y

Reference 25

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source=pdf_text observed=2026-08-11T19:03:05.947141Z digest=sha256:ed064f74549ce7042152aba09718d51084ff4e735ed0447b543aa3d44d171219

Observation c4dc4454-b080-48c2-841b-862391a3a133 · outbound

This paper cites Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks.

Parseval Regularization for Continual Reinforcement Learning Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks

Reference 26

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Observation 157214e9-ca1f-487c-a054-bb2265e829df · outbound

This paper cites Huang, R.

Parseval Regularization for Continual Reinforcement Learning Huang, R

Reference 27

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Observation 1156dfb0-15fe-430a-874a-1bd158842724 · outbound

This paper cites Huang, R.

Parseval Regularization for Continual Reinforcement Learning Huang, R

Reference 28

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source=pdf_text observed=2026-08-11T19:03:05.958013Z digest=sha256:df6acab2e1b9bcc44f9356b80bf03ffe1d2d41a025e8c5f5b7a6cb3b15d4682e

Observation 942d7a9f-969b-46dc-91fc-1cf83d5aa1d0 · outbound

This paper cites Jastrzebski, D.

Parseval Regularization for Continual Reinforcement Learning Jastrzebski, D

Reference 29

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source=pdf_text observed=2026-08-11T19:03:05.960814Z digest=sha256:79e9522f7e17252981e7a473caac687dc812099f1e9e9e48b6e463d88a5e0ec3

Observation db7a9c77-d3f1-48aa-a59b-6b4fbd59e397 · outbound

This paper cites Towards Continual Reinforcement Learning: A Review and Perspectives.

Parseval Regularization for Continual Reinforcement Learning Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 30

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source=pdf_text observed=2026-08-11T19:03:05.963729Z digest=sha256:a28206947a8a622f2ad5dd4d9b5f15c3b7030209247ff4563b9c42ed0c288929

Observation e419908d-5ef0-47f8-ab32-c900acb93a3a · outbound

This paper cites Kirkpatrick, R.

Parseval Regularization for Continual Reinforcement Learning Kirkpatrick, R

Reference 31

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Observation deaf26a5-fdbf-46ca-8a40-d3075809a641 · outbound

This paper cites Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Reference 32

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source=pdf_text observed=2026-08-11T19:03:05.969405Z digest=sha256:4e625624c3ec5b757ef716e6e48e463027408e6f22012c97fe191fc8c46807e5

Observation 533425b0-bec2-48c7-b74e-ad79c2eeaadb · outbound

This paper cites Maintaining Plasticity in Continual Learning via Regenerative Regularization.

Parseval Regularization for Continual Reinforcement Learning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 33

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source=pdf_text observed=2026-08-11T19:03:05.972473Z digest=sha256:88b6d5f2f34b0fad0d29825e6a225c6b965f464ba5fc166ae8cb7d8d272bbbdb

Observation c0b47285-4e44-4430-8b50-00592f1b4561 · outbound

This paper cites Directions of Curvature as an Explanation for Loss of Plasticity.

Parseval Regularization for Continual Reinforcement Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 34

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source=pdf_text observed=2026-08-11T19:03:05.975648Z digest=sha256:bf0bd93ed5f8c5cd99ee828bef15a711a8da0ef04ce2a337cb0bd60af23e91ee

Observation 5e86b1dd-f67c-4205-a9b7-f13b96efe150 · outbound

This paper cites Lopez-Paz and M.

Parseval Regularization for Continual Reinforcement Learning Lopez-Paz and M

Reference 35

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source=pdf_text observed=2026-08-11T19:03:05.979177Z digest=sha256:5e702b1aeec86705649aebe1fc50ef52cee5f1ba435061b73ffc14611ffd5a88

Observation 4d780947-265b-489f-be6e-901188b06b55 · outbound

This paper cites Decoupled Weight Decay Regularization.

Parseval Regularization for Continual Reinforcement Learning Decoupled Weight Decay Regularization

Reference 36

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Observation a1a15da9-0dad-46a7-929d-d6a505e969f1 · outbound

This paper cites Understanding and Preventing Capacity Loss in Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning Understanding and Preventing Capacity Loss in Reinforcement Learning

Reference 37

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source=pdf_text observed=2026-08-11T19:03:05.985909Z digest=sha256:d2ee5449b879e84a7b1cf63a41e3c624857a79f7b50474f4f293508b200aec5f

Observation 3b90884f-b7af-43f7-80cb-bc0f3a9c0c8a · outbound

This paper cites Understanding plasticity in neural networks.

Parseval Regularization for Continual Reinforcement Learning Understanding plasticity in neural networks

Reference 38

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source=pdf_text observed=2026-08-11T19:03:05.989165Z digest=sha256:b0765dbe504d87bde8bee7e039b598ae2d487fb31c399667ebf614afe95e8df6

Observation 41119827-6b0f-41c5-96f4-033365c56099 · outbound

This paper cites Masarczyk, M.

Parseval Regularization for Continual Reinforcement Learning Masarczyk, M

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:05.992709Z digest=sha256:d90053eef65bab5f885d5b4896a5e324a9f2fd9fd13988364d65d0290cb95417

Observation 6e9645b1-bb8b-430c-a0fa-e896b61f0dbe · outbound

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

Parseval Regularization for Continual Reinforcement Learning Mish: A Self Regularized Non-Monotonic Activation Function

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:05.995881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:05.995881Z digest=sha256:894a42f9ed05be6770d6fc79bcaa2b523b15ef8975e1423d8fd76eb5020b6793

Observation 54f779a2-d022-4753-8d85-2435310741e5 · outbound

This paper cites Nair and G.

Parseval Regularization for Continual Reinforcement Learning Nair and G

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.651597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:05.999600Z digest=sha256:99cee58226e9369e48d8277acfacc852ab56259513c1e1e6bab86dfa7b9481bd

Observation a4973c65-5ed9-46dd-9577-0b5a43eb0b0c · outbound

This paper cites Neyshabur, H.

Parseval Regularization for Continual Reinforcement Learning Neyshabur, H

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.643762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.002842Z digest=sha256:cf561864ef6b61458f8ed67348d188e2027440ef26edb69a2d34982c3e4d3d51

Observation 027c3a97-f546-44af-9815-81a10eb9bdf3 · outbound

This paper cites Nikishin, M.

Parseval Regularization for Continual Reinforcement Learning Nikishin, M

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.634743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.005681Z digest=sha256:f592ace3c0e06c834dc10e55379db744325706ce33e5f57f7a017c135a11e0ed

Observation f807b444-6cfd-4e13-986d-7a2a7f748f95 · outbound

This paper cites Deep Reinforcement Learning with Plasticity Injection.

Parseval Regularization for Continual Reinforcement Learning Deep Reinforcement Learning with Plasticity Injection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.008808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.008808Z digest=sha256:da40d7028119faf784d54594072b8003e8c4f9d556a9f6985bb208d3a08d2738

Observation 7e5bb0c1-baee-41dc-99e8-5ee25f8e99a6 · outbound

This paper cites Papyan, X.

Parseval Regularization for Continual Reinforcement Learning Papyan, X

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.625818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.011766Z digest=sha256:949686c8da34ac0d5f3a630ae5b4a8cd1f1c2465367b5cb9dada70c30784f79d

Observation 77e0512b-96e5-4754-9814-1a506dfca13c · outbound

This paper cites Pascanu, T.

Parseval Regularization for Continual Reinforcement Learning Pascanu, T

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.014525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.014525Z digest=sha256:5f9dcf3728e7e3105ab31509c399f221ef45d0b9caf291cd59a2ed0c287aa447

Observation 833b6d3a-b60b-415f-8f22-c48593e9eb9b · outbound

This paper cites Pennington, S.

Parseval Regularization for Continual Reinforcement Learning Pennington, S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.610855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.017840Z digest=sha256:0bc8aec8872d776252109943bbfa7e707e0885884bb7920241332bf862534c49

Observation e0503123-a277-476f-9c95-3b981569eec1 · outbound

This paper cites Pennington, S.

Parseval Regularization for Continual Reinforcement Learning Pennington, S

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.601328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.020504Z digest=sha256:6dd479a487ee3da464e8061f820bd53dde3115bd27dca694efa697b3aade3c48

Observation c1d75a1d-5f23-40a5-962c-7c64dcdadf99 · outbound

This paper cites Prach and C.

Parseval Regularization for Continual Reinforcement Learning Prach and C

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.592433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.023753Z digest=sha256:fc91aa17677430889637750b735792d0e66b8c083a5c9a584036699a549b992e

Observation ed56f596-5af4-4a85-a933-8f8d28eab0ab · outbound

This paper cites Robust Policy Optimization in Deep Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning Robust Policy Optimization in Deep Reinforcement Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.026844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.026844Z digest=sha256:1821d33fdc1db1978f8030843e4db59434029ade8e5990e7401ce43c6088baa1

Observation 89743bb9-b1f8-41cd-b90f-7bd4ac826667 · outbound

This paper cites Searching for Activation Functions.

Parseval Regularization for Continual Reinforcement Learning Searching for Activation Functions

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.030346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.030346Z digest=sha256:3e38bbcefd90617f764146437638b22bd947aa3eb6645bedd7aac89d12f3b271

Observation 5e208645-50d8-4051-96db-0991404e58ec · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.583758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.033683Z digest=sha256:422d4cd1ace9cac63de97b9ae2f9428e9d62db8ea4e68048866a67b98b8a89fa

Observation 89094e43-0fd3-4ae8-b177-89bb51940222 · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Parseval Regularization for Continual Reinforcement Learning Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.037884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.037884Z digest=sha256:0405e239d015c37a41fd75b2aebc9b82af2fb185371874bdd579e1b2f164a7bb

Observation 11e46c8a-c6c2-4034-bf52-c83cc3cc7f3d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Parseval Regularization for Continual Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.041195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.041195Z digest=sha256:59e2e4803d8cf0af7b064bde88f465615e481dfeecfd0ba4eab8d5af7f1a2936

Observation 7a457bbd-7313-44ca-957c-53b320ff270a · outbound

This paper cites Shang, K.

Parseval Regularization for Continual Reinforcement Learning Shang, K

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.575610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.044507Z digest=sha256:6c584a65f302d932ab28632c666bc39a318202f9335afa1332f91c1400c44564

Observation 2be53658-1989-4c2f-a301-c5acf3aae9c4 · outbound

This paper cites Singla and S.

Parseval Regularization for Continual Reinforcement Learning Singla and S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.566858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.047223Z digest=sha256:07b5f62defd9eade3d7522d8cfaa6114db6503fd23287027880cb408d6fd7802

Observation 8faf7770-c20d-415e-a71e-c995c1baae75 · outbound

This paper cites The Dormant Neuron Phenomenon in Deep Reinforcement Learning.

Parseval Regularization for Continual Reinforcement Learning The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.049608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.049608Z digest=sha256:6bd7e37737dd3cd4bf28f06a28853a7e9e500a7bab296a683db244530df208d4

Observation db4c823c-0aa4-44d4-b7d8-e7f98bdc68dd · outbound

This paper cites Human-Timescale Adaptation in an Open-Ended Task Space.

Parseval Regularization for Continual Reinforcement Learning Human-Timescale Adaptation in an Open-Ended Task Space

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.052114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.052114Z digest=sha256:c5d1b0721876fdbeaf09243833d0e33ffa4e81ff1e55f976572a5fb7b4b3e0eb

Observation a9afb267-f4c2-4a47-a03a-6bc60de034e2 · outbound

This paper cites Vaswani, N.

Parseval Regularization for Continual Reinforcement Learning Vaswani, N

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.054964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.054964Z digest=sha256:7d5198b6141a57cc961bf9debeeab532b577eca54e5ae4b5e198e7ace9aa98cc

Observation 0091146f-bdd6-4a59-adee-1939ccec6f77 · outbound

This paper cites Continual Learning: Applications and the Road Forward.

Parseval Regularization for Continual Reinforcement Learning Continual Learning: Applications and the Road Forward

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.057480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.057480Z digest=sha256:6783085d8f67b7209218e8b76d52dcd83c10a81fa7f3fb32b6cca6b6f0a2b6a3

Observation 83f0e510-359f-45f1-a778-a5fa65db140c · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.553443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.060272Z digest=sha256:092b8071fbf1788b27a1f127fa9be35a416708d44aaf6a349b36ea1ebd07ed64

Observation 85e03c7d-4142-4b92-8fe9-0f2c99515e8a · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.062704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.062704Z digest=sha256:07d4928550d8ca8f8a388e8f5aba31ab4db948b0a96ffcd0b59740e09e7eea4c

Observation 9c65e01d-846c-4824-a54a-288e0c8eefa4 · outbound

This paper cites Zaidi, T.

Parseval Regularization for Continual Reinforcement Learning Zaidi, T

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.539968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.065212Z digest=sha256:2f014a267c372616693ad4969763e6022d34d576ae4e09f33d852bd1dfe76df7

Observation 8f9c9346-da44-41c1-879c-fc5d4e236b10 · outbound

This paper cites Fixup Initialization: Residual Learning Without Normalization.

Parseval Regularization for Continual Reinforcement Learning Fixup Initialization: Residual Learning Without Normalization

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:06.068429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:06.068429Z digest=sha256:f4f3d43c5113a22555ae90e51142485c94ec38d6f850af87f783bf700bf9f669

Observation 404cd513-52ea-49e8-8a76-b88973394050 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.531397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.072467Z digest=sha256:7a6367be2e354043a253f92208c6fdd72735143dcd78e401603880cf8b5ca90d

Observation 2732916d-dcb1-422a-8635-6f62898dc576 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.522911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.075686Z digest=sha256:6039c6253cf47132707457468720f1b87f38a15c2cade010fa3516ca4f495d17

Observation a3af1951-0831-4055-af21-d8fb46aa57ad · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.514485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.078969Z digest=sha256:2fafc8b9dc0d898965ecdd9f37529963880eeb4e0c908814ca2f4711b1ec2267

Observation d137b931-dbbe-4d03-ac7a-5cf0ba81dfa0 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.506195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.082051Z digest=sha256:b190103fbd8dbedbfb5772150980027a1ecfe22706f3fc178f2dba501151ec65

Observation 3c9c3ffa-30b9-4b6b-abdc-205cfcdf2f2e · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.498076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.084978Z digest=sha256:43afaacba73cc38688be1b4e5703d67acc69453e094d6ba9f6c943dfe3d784f2

Observation 01f72179-2611-43b6-a99a-9f10a1d43331 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.490066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.088123Z digest=sha256:084c5f7bd28bd45a2ce4a7713e8d2e889e67246313fac177d1553e01341029eb

Observation 7387b488-faa8-4351-b251-2f5d5fcef6b4 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.482111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.092489Z digest=sha256:d867f1f5d05592d42f9ecd22d598a08f3b4f916e21188dea268d1924ea5ca8e6

Observation b096edba-f85b-49ba-9e74-b94482b80d4e · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.474435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.095389Z digest=sha256:4d4d9da925596384015094389073f1d926167ef7f5b106488ef389e336021d55

Observation a5a602af-7c61-4e2d-ae00-694b6c2853e4 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.466940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.098169Z digest=sha256:c933ec63be1d4b22e186d69fa52f32dec17d815625859a999909defb35564b68

Observation f44aa096-bad0-41d8-80f7-d22fd2ffe540 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.458854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.101347Z digest=sha256:905539b90310776a21501797886ba079a9e2188805e471fd23c63a3d9e04f772

Observation 6a593130-a5a9-4d34-9959-31ef92bb5b08 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.450081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.104323Z digest=sha256:974709c8dc2caac48315b47a2b4574d38ede92d05e00ba0d097fd6c44fbbbd25

Observation 9e16f65f-fef3-4000-939e-bf745e7c019e · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.441054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.107126Z digest=sha256:4d28719f088ac1a6d4386d7c7b1ebab1be1ce54ee7184a1c5c06c92b4ca0b27b

Observation 1903416f-1bcf-485a-be13-4b690478649b · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.432602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.109763Z digest=sha256:1568c786d1aa64273170dfc66269d8ef6288f5ecc208df3eddd2d56c4e5ec4aa

Observation 60be6286-6303-4efc-a7b8-7f7309bf0407 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.424439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.112454Z digest=sha256:ac83b252ac7bae9a59d6fb199082307dfedf2587c4a63e47b60459c94d6f5d1f

Observation c1183c44-accd-4404-a124-be0697fac14b · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.415449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.114946Z digest=sha256:1862aa88c6d2f528008e5a0ed3e34e4de3fae50bc3443be19954c1152da00573

Observation 2b19e059-ace4-4058-8783-d59d1dbbed9f · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.406621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.117937Z digest=sha256:a9f90e10bc878ae236e25391fcfb13e4707168fd6e17f0b810116222538c5ef1

Observation f6fe8a65-ed24-4c83-a09f-52aa2528c9c4 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.398522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.120312Z digest=sha256:7e694ae37e94ae612ff739dc96b78c1f939cc1a2915a7224b655c35eed24f0e5

Observation 2e7dd68b-82b2-48ee-b48a-4e9564875eb6 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.389925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.122746Z digest=sha256:c8ddcb590c2a82e1b257d91a286bcd429eb7a95a8ec0d853f6282e23abf6341f

Observation 760d268b-353c-41a7-97cf-f21bf2bda5d0 · outbound

This paper cites an unresolved cited work.

Parseval Regularization for Continual Reinforcement Learning Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:03:06.381862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.125585Z digest=sha256:0001c66812b9467834458402897c1b6af4dfc2289613b4b4b4888805ed6fcd30

Observation 9a4d3fe9-e78f-4cb3-81d3-74362134b336 · outbound

This paper cites So due to the seed, the same environment (e.g.

Parseval Regularization for Continual Reinforcement Learning So due to the seed, the same environment (e.g

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:03:06.372395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T19:03:06.128110Z digest=sha256:8b585bbdbcbf078795f2ac1f2d5b228c60a3cbd225044aa6c211ed1f8a222403

Pith citing papers

Observation 9a50ba15-a2d9-42f1-b26d-0098c1bb149e · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Parseval Regularization for Continual Reinforcement Learning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.510093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:35c813b5678bb8b77b89bf2cba514839b063cf6214d51107a474908562c32971