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Paper Citation Record · LEDGER

Robust Reinforcement Learning from Corrupted Human Feedback

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15568.

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

pith.paper-citation-record.v1
2406.15568 v2

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:11.783150Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:19:10.539429Z

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 ad7ed927-ba3c-4554-b2b4-9bb1683bfeac · inbound

Clone-Robust AI Alignment cites this paper.

Clone-Robust AI Alignment Robust Reinforcement Learning from Corrupted Human Feedback

Reference 1952

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:11.783150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:11.783150Z digest=sha256:a96470bd2ad5a7a8782c169e45e2d351aa1fa56029cdbcaa84e8a115386bd717

Observation 791c3347-9199-4ea2-90c8-b9eb91a052ad · inbound

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO cites this paper.

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO Robust Reinforcement Learning from Corrupted Human Feedback

Reference 1952

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:19:10.582859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:19:08.152208Z digest=sha256:f8bde30af0601b8c0d1f082b66951d8c04dd5375718cc6d07d8a9196bf496845