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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

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

source=pdf_text observed=2026-08-09T17:46:07.267022Z digest=sha256:3f20cc341ba2d7238ddcb34f34a934c85eff83b27774dca5d7c097760ee41c31

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:e2005b360f202dcd0ded9d3523bab3411ed6b07b8737581d2cd28cb263c55f6e

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=sha256:4f9c6eaf0a0ef76274b49337a3fa214be3401c3b3661f008051cce0f827a5ab1

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

source=pdf_text observed=2026-08-09T17:46:07.283598Z digest=sha256:7e02450b96b09febee658f8d426a96e2c34766f790779b4c5955ded91bef866d

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

source=pdf_text observed=2026-08-09T17:46:07.287782Z digest=sha256:7af7fffdecc6ce1358ee003e8a8c756d4462e29e111c119b9b9e47db7b235ad6

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=sha256:16f3ba1cdc39231faf3899c906636f1f9bdec165e4d734e490008f06d6bb72c3

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=sha256:3365cf6d05df3a83ca3f5e0dd95d03e3ce14c7a4097de817262b8cfddc341a18

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=sha256:0054c28eef175591274ce0cc57eebbda4980e7c2f63802042ba3ce1eb50ff80e

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=sha256:340156067a975ae45195916e85abdb075c20285f86eb2074e31e7903bfb59e0e

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=sha256:855e2bc2829f28935ce5b2487159bce12b13ac6fe77225ca73a5a42d8f015128

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:ece5ea9fad506a9d35cf05e8d32d6ca66570eb69957ca76e6a5ba33627dd8f08

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

source=pdf_text observed=2026-08-09T17:46:07.249660Z digest=sha256:63017d833e718f0e73845bd6346979ea89ab5964b47eb0505fb4c5092e3a70bf

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:d2f4156b7b2bad7d15b109a7fb8e520c5f0bdfc5ef61c1b3926f250123341fce

Pith citing papers

No inbound Pith citation observations are available.