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Paper Citation Record · LEDGER

Observational Overfitting in Reinforcement Learning

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:04:53.129737Z digest=sha256:9b1fc697c734d57153453e93310c22ddc625f272bbe59483dd96d245e7938658

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=sha256:7569b005b69544df41d36835594093ba94e5f0895d2e384851c5e953dcfae200

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=sha256:35922bcdc333ed24e80777d87ee9aa05150620b04fd0b47716db0e3cc98d71f2

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:e94526b39402d47b3d6b00b5bed484ccf82a45030bfeaada1a8b6fec750e705c