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Paper Citation Record · LEDGER

Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.05782.

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

pith.paper-citation-record.v1
2410.05782 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:17:22.005131Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:17:42.981556Z

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 639bc1e6-02bb-4c76-aff6-82d189ed02b8 · inbound

A Survey on Explainable Deep Reinforcement Learning cites this paper.

A Survey on Explainable Deep Reinforcement Learning Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T19:17:22.005131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:17:22.005131Z digest=sha256:3ad8a6d9554a5e042c98ad14a77a7502041b274e15a76ed76dadd70c0f80dedb

Observation c1684f84-881d-48ea-aa18-f1427180e22b · inbound

Residual Reward Models for Preference-based Reinforcement Learning cites this paper.

Residual Reward Models for Preference-based Reinforcement Learning Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:17:43.213962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:17:39.950999Z digest=sha256:424d5cc0278ba4500dd6c48bf63fd329cbc4de88415633c14a6358602edec697