Paper Citation Record · LEDGER

The Primacy Bias in Deep Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.07802.

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

pith.paper-citation-record.v1
2205.07802 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:42.422173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.650643Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b634c8f2-10a5-459a-a500-a2cf55820b76 · inbound

Intent Factored Generation: Unleashing the Diversity in Your Language Model cites this paper.

Intent Factored Generation: Unleashing the Diversity in Your Language Model The Primacy Bias in Deep Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:42.422173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff407c5-72aa-432e-920c-a8bf0fff0075 · inbound

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks cites this paper.

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks The Primacy Bias in Deep Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:55:58.939170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73754b45-7e95-4f1a-a9c4-47abf15b7c25 · inbound

Understanding Goal Generalisation in Sequential Reinforcement Learning cites this paper.

Understanding Goal Generalisation in Sequential Reinforcement Learning The Primacy Bias in Deep Reinforcement Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:50:20.940169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86ff0229-a84f-472f-bc74-d9b32cf6b326 · inbound

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR cites this paper.

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR The Primacy Bias in Deep Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.652067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.