Pith. sign in

Paper Citation Record · LEDGER

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.00802.

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

pith.paper-citation-record.v1
2502.00802 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:46:07.296364Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f16acc6-6a7f-44e5-9cc5-2e3f4c9f48c5 · outbound

This paper cites Structural Neural Additive Models: Enhanced Interpretable Machine Learning.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Structural Neural Additive Models: Enhanced Interpretable Machine Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:07.420747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T17:46:07.267022Z digest=sha256:95ce90d58857363996943de02d0f3e09190689f9fed7fb47d7eb3df4954db3d9

Observation 51158318-6679-420f-aec8-73057e69c61f · outbound

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

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Understanding and Preventing Capacity Loss in Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.271227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.271227Z digest=sha256:f270fd9d7620e8b0d85c35c6d3ddf5e88ea30b2ed20f9f583095d85ee80be5fc

Observation 599a5536-e801-4d65-85db-a43efc7ad4e7 · outbound

This paper cites Revisiting Natural Gradient for Deep Networks.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Revisiting Natural Gradient for Deep Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.275178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.275178Z digest=sha256:b42511c022623c72c2d51dcddb1d6a97d9663dfb777d2895bdb3f27a3a6e5ec6

Observation b7b9501f-7787-4d63-b455-429cfc0e1847 · outbound

This paper cites The Effectiveness of Random Forgetting for Robust Generalization.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning The Effectiveness of Random Forgetting for Robust Generalization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:07.365008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T17:46:07.283598Z digest=sha256:5c49117a99287266684b0f23df1eddb7ed54c910e49b57ef4e84033ee1b1c89a

Observation 45ca699a-2cea-431b-b17c-463c165cf120 · outbound

This paper cites On The Transferability of Deep-Q Networks.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning On The Transferability of Deep-Q Networks

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:07.348225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T17:46:07.287782Z digest=sha256:9fd654787904c85b5623b3ef37a481339c3d51b463d94c193c6eaafb94e8d5a3

Observation a101682c-8ed7-4680-83a8-a66b30983d51 · outbound

This paper cites DeepMind Control Suite.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning DeepMind Control Suite

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.292556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.292556Z digest=sha256:06ab427a22cbf4117a2c51f6427845f74064fac1246de5e1e81ce10b1579e1a9

Observation ee3c88b8-d7f7-43da-bc98-af0e99a86d39 · outbound

This paper cites Deep Reinforcement Learning and the Deadly Triad.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Deep Reinforcement Learning and the Deadly Triad

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.296364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.296364Z digest=sha256:9ffb53ca0c8b820b4286ac37218a0cad21b141f3811610f1bf44c19d07a39cbc

Observation 96552580-43d8-4f41-ace0-4682cb7062ba · outbound

This paper cites Mind the Model, Not the Agent: The Primacy Bias in Model-based RL.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Mind the Model, Not the Agent: The Primacy Bias in Model-based RL

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.279170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.279170Z digest=sha256:45a90c139ff5d7e9b74c05863de2a58714ee5b06f51acc6eaecb846c2ee684b8

Observation 9e7a93a5-fdc3-40f5-b52c-7a601233e7da · outbound

This paper cites Maintaining Plasticity in Deep Continual Learning.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Maintaining Plasticity in Deep Continual Learning

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.245077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.245077Z digest=sha256:e9256420bcf871d624e93771c268b1351ab56bc810591fd4f8aafb4f3383e95e

Observation 9eab13f5-f535-487c-b1cd-eae2a45f04ea · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Soft Actor-Critic Algorithms and Applications

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.257878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.257878Z digest=sha256:d63c357db9c36354a7acb2a80ff55823924b81205337e1f611f8c4f0aaa7c9e4

Observation 63b110f6-35da-4ff4-9f02-171cea97c91b · outbound

This paper cites Generalization and Regularization in DQN.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Generalization and Regularization in DQN

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.253309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.253309Z digest=sha256:f0f530a349228ba9bac79ee5610e32aff93954c55612b948ed8690bee79e80be

Observation 4f5716bc-8135-423c-9090-86c9a5ce9dcf · outbound

This paper cites G., and Courville, A.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning G., and Courville, A

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:07.491040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T17:46:07.249660Z digest=sha256:18c0e1e11e8a276932154fb831472d58742604fa33d8b5eb8afb2366801afe1d

Observation 5bcbcfca-caf9-433c-bb53-ad21c2ecd8d1 · outbound

This paper cites Efficient Deep Reinforcement Learning Requires Regulating Overfitting.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:07.262543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:46:07.262543Z digest=sha256:602757c4b376243b00f7dc5f20c7f9cf30a5ccd445e5c2f9fef9455c0f909bcb

Pith citing papers

No inbound Pith citation observations are available.