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Paper Citation Record · LEDGER

Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.07181.

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

pith.paper-citation-record.v1
2401.07181 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:09.394349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:56:14.580512Z

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 b17fa341-a4f4-4a7e-8b96-6fc8542b7e17 · inbound

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T16:30:09.394349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:09.394349Z digest=sha256:9e8c4e3bd7c659e17b0f4f7399b2d05f50e14bb9c795b4723d912445e9ea6e4c

Observation 2cb7ccec-041b-4461-9404-ad201f45cf5a · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

Reference 171

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:14.585191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:56:12.648628Z digest=sha256:d5b4b049a6e23c7f1d4ee21d3d6db08fc3df58d58aa00800ccd593f787f403d9

Observation 42c1ec05-700d-4cb7-896e-f6bbea0b035f · inbound

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance cites this paper.

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-04T14:44:13.214742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:44:13.214742Z digest=sha256:090c6a3daf74cd0c1a16b2dbe3f9202f05b83beb265684e149b3b7dbee00b490