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Paper Citation Record · LEDGER

Parseval Regularization for Continual Reinforcement Learning

As of 20 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 2026-08-20T06:33:59.587034+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
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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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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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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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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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source=pdf_text observed=2026-08-11T19:03:05.889623Z digest=sha256:6763a00b132c93ee4e0adc1e0db1014a87ea28355a520371ecdd4484b56667ff

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 2026-08-20T06:33:59.587034+00:00.

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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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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

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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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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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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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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=sha256:5ee9b299aca560d3ceb6c3cdc2f30fa6f6b3f42591f21585794c1fb0c7595097

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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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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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=sha256:4629ed0d09972f4d6f61a12effe5cf691b5fc8f9755790cb0143519c8481f43f

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=sha256:396b3f837a791ba7fdacccdf731ae6e88acb29dd37c06a285f04e88be833d7d2

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=sha256:829ff7acddbd46eb9f01a86dc3b855b82827f53d562ef9036c6f6912732946d5

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=sha256:4036d6639f3ee87e457dd2f656f30807258fdd15128b89252551e6664823109e

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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raw_fallback, observed 2026-08-11T19:03:06.659592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:05.992709Z digest=sha256:668eebc35fa986614deea95be60732799d455b48e477e92a84c9630c9c6b4bf2

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:a61d618ff1162dd786b32465ee558dca42af6bbab308a181694300fb97e30a93

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:05.999600Z digest=sha256:001256d159d105994a8682ac63b57c3f2f83ed0a8e16ecbb0ea6ad1bc0c3bba5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.002842Z digest=sha256:68696da640ac523305eec6af63bf32a2864be6c3a28994337a6329db1674e982

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.005681Z digest=sha256:ed098d22c3c6d29df3deb1b1d4813697cd9193229f215eff4bf3cd361bec85af

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:dc2a849023c80fa9cd0a00763342e350b765b91566cdfa4db1e1b07d7fb151e4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.011766Z digest=sha256:3d8eeffbc2ed9959a91eca7f6cea2cf7f5a911588950ee385ac5638e2990616e

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=sha256:14848e2431553498d1ead0afef8a83fb5ce42aeef0c53941a892adbe097fc5c3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.017840Z digest=sha256:962290da470eff9e3324ad8da370d8ec4837962854246b82fdec1f88f9148686

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.020504Z digest=sha256:4c8191b96c37237fea3eb661af8dd0967979a16979a6a004ee9db4754b34ba02

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.023753Z digest=sha256:cec3ad647109bf4bb056744a27b4db8ee25caebe373eb932deb8745d30a2d735

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=sha256:52f60801daa151d14f832910fb7645b23ba38932ce2f86d329461fc7c569cf03

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=sha256:15940b505112ab7006c2965b29be56ce9ba0fc32144c203a22d56b3f5411e844

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.033683Z digest=sha256:05047b8442f62398bb5876a2d6e5903b08af08c4403dab643d6134183733bad8

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:a8459ab37baf3308a5a29e504225e111e11c12d29aa258c660ca240c8e953623

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=sha256:2b549e35f013995d8426389209656defdc28ea16df00637b0428e03842176305

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.044507Z digest=sha256:f78edbd8b6629d78bcb80195abe0c2a98f6c455642dd8fb0614522b42565198e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.047223Z digest=sha256:fc928a0c6669af1ee88f10a92b3b4a6962d0d478eb86746c74be673cdf2b5a27

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:b7206959d2791b0fe4efb0a17b8026f53e56c10e526ebbdc800b128af3cfdf8d

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:db554ec10838e423c00a1f8e4c429529d33a5d3abc2b3685046880aa627fd9de

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=sha256:465ee8d475e1a5cb487dad0a253968b55329a4210a0f7620105feb4c0fb0b13a

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=sha256:5f0c28520b84207d24379da3b4ef7630482036813afe654f9375ae74fed12133

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.060272Z digest=sha256:66e33c7f073c930d7d24fc5501e5d76b24ffb1d2e40f327d8e2416a8cfdd9bdb

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:aed92e7e89cf00c36797b393a6f49d1ca4aa854d87eaa3dd6372fbc6fbcb19f7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.065212Z digest=sha256:2f2408c53580206306781526fc72f08180e18762a1b214a3a7883a800b20c4ff

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:d3cfc77743fd9e39ab455edac2b3972723d76b18580664143ea38f352e47619d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.072467Z digest=sha256:0626e511827fc38f28e756498886d932b588f3916dba8063ecad589d6f70942e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.075686Z digest=sha256:b6000e90e4f57ef7da95a112f8117c76f8e74dcfeadce255277f765fca20d036

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.078969Z digest=sha256:0766745d0c854cc47f41a0867682ce1e0bebbde1779a2e15fc0a891cbb9ed22d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.082051Z digest=sha256:d3fa034a2d3a2f73e2563c0e9d096b7b0d63feb532c19b3345914e1fb9a55d59

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.084978Z digest=sha256:fb4fee5d833614459c60df07def4c96cb5a52851d9fe400049d0bd11137d5585

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.088123Z digest=sha256:36e8f102095760f5acc4c193ac818c5acdb3fb7a9c97e176a12f62b2d8e2488e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.092489Z digest=sha256:dad5e1cc94922707fe0331f95fae8c2e9619e014d44956cfc8b906763159ac08

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.095389Z digest=sha256:6c3bd38dc0bb4dfbca4f88cabc9567680a50d88b2dae9ca45bc8bdd0b290953d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.098169Z digest=sha256:f74d2df0333fc18d64ca4473f20e5b13670953d3f4e931978dbece1679faf0ae

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.101347Z digest=sha256:f492b660de27018f6dc465f5f42e7d7a97b969aa3091b9c3334bd70c8b92ab68

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.104323Z digest=sha256:8314db524c089c6838f1fe51fffb500289f46a5eebd5d912be2ee6a60fab74c8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.107126Z digest=sha256:b6e2f9f336412762611a1f561aa8ff81f53c3fcb6e2f464e62f7dd369b51d867

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.109763Z digest=sha256:3944c2a8671059037f3b7039f6fc9f76ecfca2a7ded3c6e0721463c3ca396fc2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.112454Z digest=sha256:4be091f1c418db1611237c7a423a97d937dcdc10d07172ab3e65683400030a5b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.114946Z digest=sha256:fb0d53ba52aae063ec81bee64876c499e17f6530fec7da0992f99608ae83ba61

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.117937Z digest=sha256:84a0ef3917919e654e8d4d501490fa1eea7ddc6edd7025d95d48eb6524c71f1b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.120312Z digest=sha256:a7a2246b7c183dd697ef638f9193708b164be4d65a2e07206aa98e5b5d0aa9ff

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.125585Z digest=sha256:d7f9376e0aaae4c3628036ec58990276e4dc5eaf0d314003a8105f4c4218adab

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T19:03:06.128110Z digest=sha256:248e5d3e5c153c667dac189e53e9d5a366b80cd469e0424035c49f7e24dbbe94

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:787ce762a8eebf0b8c11266a85ed5453debc6739359110299dbd290340171709