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Paper Citation Record · LEDGER

Accelerating Unbiased LLM Evaluation via Synthetic Feedback

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.10563.

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

pith.paper-citation-record.v1
2502.10563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:53:38.816256Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:46:49.147804Z

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 2e8eb0cd-af3a-4772-bbbc-46ec7a9d401d · inbound

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation cites this paper.

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:53:38.816256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:53:38.816256Z digest=sha256:c06cfd5b9cfbc0f5f9f97022ba8f3fc660af2296b26d69cc61cd2ab7abaae512

Observation aec4245b-5110-4c94-aaa6-e0f4c58447b8 · inbound

Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals cites this paper.

Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T05:16:27.918644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:16:27.918644Z digest=sha256:5e233f48233dc517cb78dcf065990054f2b9c6811d59c70cc33d29e8c40a1194

Observation 8907206e-4fc4-43fa-a4d4-23b5830b2299 · inbound

Active Testing of Large Language Models via Approximate Neyman Allocation cites this paper.

Active Testing of Large Language Models via Approximate Neyman Allocation Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:40.827864Z

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=2026-05-12T04:03:19.106191Z digest=sha256:74fda79a20d3a64dcea9dbbdd8faff168dfbe6d547fd3831f3d3e6ff48077078

Observation 64feffef-e34f-4ef6-be95-431e050b3782 · inbound

Active Testing of Large Language Models via Approximate Neyman Allocation cites this paper.

Active Testing of Large Language Models via Approximate Neyman Allocation Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:09:12.393344Z

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=2026-05-20T23:04:42.510028Z digest=sha256:5115d16c9b097224521bd600a2439fe5abaec3f64e296f4b53adf1fcbd5a781b

Observation 062e0e86-74f6-404d-9854-cd36cb789efb · inbound

X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation cites this paper.

X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:46:49.149058Z

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=2026-06-28T05:45:37.788703Z digest=sha256:f5e3d7c47bfa2ec1b82d713440c3eae4ac1fba44fa97b27aa75fb1aa7f19bd7f