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Paper Citation Record · LEDGER

Observational Overfitting in Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.02975.

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

pith.paper-citation-record.v1
1912.02975 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:45.449121Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:04:53.161564Z

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 284a3bc7-1a9a-4435-ad07-f8998e363950 · inbound

Scaling Laws for Reward Model Overoptimization cites this paper.

Scaling Laws for Reward Model Overoptimization Observational Overfitting in Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:04:53.169579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T09:04:53.129737Z digest=sha256:9510f0a49831d54e985a279b245a3a18bf17c112865b1630b1c96854e920e9cd

Observation 09bcc3e7-ed47-4f63-a2b8-bc4aa3f068e4 · inbound

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder cites this paper.

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder Observational Overfitting in Reinforcement Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T18:56:45.449121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:56:45.449121Z digest=sha256:88244c496cdce81c20881b805553a765443d7bf2e2919229b6a5f10f955554e8

Observation e560523d-9194-440e-ad02-47776012ee6c · inbound

MIGT: Memory Instance Gated Transformer Framework for Financial Portfolio Management cites this paper.

MIGT: Memory Instance Gated Transformer Framework for Financial Portfolio Management Observational Overfitting in Reinforcement Learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-08T13:18:55.479689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:18:55.479689Z digest=sha256:b20f9eb5f520f574a5a3b66137cb4ded85aaabbd93441377e0bf186caab4184a

Observation f0db245f-0116-47fc-b940-4fb12dc81a83 · inbound

Online Training and Pruning of Deep Reinforcement Learning Networks cites this paper.

Online Training and Pruning of Deep Reinforcement Learning Networks Observational Overfitting in Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:05:16.229659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:05:16.229659Z digest=sha256:7da255fc3544689fd6d165a667b1fad387e2cdb2d7805609ecc5ec9cf1bfba57