Pith. sign in

Paper Citation Record · LEDGER

Training Language Models to Critique With Multi-agent Feedback

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.15287.

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

pith.paper-citation-record.v1
2410.15287 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:59:11.471411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T21:59:12.001360Z

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 80d4dc1a-5b77-48b6-aaac-edb217397620 · inbound

Large Language Models Can Self-Improve in Long-context Reasoning cites this paper.

Large Language Models Can Self-Improve in Long-context Reasoning Training Language Models to Critique With Multi-agent Feedback

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:59:12.006873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:59:11.471411Z digest=sha256:bb2526afed8c9e495022927c9c342ee90146970d9e58469f94d153aada4856cc

Observation 9e70a2f2-82dc-4d1d-824e-c3494daad82d · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Training Language Models to Critique With Multi-agent Feedback

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:46.819144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:46.819144Z digest=sha256:bc21cb2962e187e8e4937cdf34ec4b87dd92f73bcac46db3d2cf3fa3bb426369