Paper Citation Record · LEDGER

How to Get Your LLM to Generate Challenging Problems for Evaluation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.14678.

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

pith.paper-citation-record.v1
2502.14678 v1

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:11:50.660114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:46:48.959211Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 8bd3c511-51d1-44d7-a3b0-746a80f39589 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny How to Get Your LLM to Generate Challenging Problems for Evaluation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:15.359475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc628fe-9873-46d7-9e78-85829298cbec · inbound

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator cites this paper.

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator How to Get Your LLM to Generate Challenging Problems for Evaluation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:11.021656Z

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.

Observation edb88529-ac4f-429b-826f-5760bd9806c8 · inbound

CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks cites this paper.

CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks How to Get Your LLM to Generate Challenging Problems for Evaluation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.422179Z

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.

Observation c7fdb342-2d0a-4a1b-9a5e-50b1e9590a5e · inbound

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces cites this paper.

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces How to Get Your LLM to Generate Challenging Problems for Evaluation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:48.960686Z

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.

Observation b58bcdae-2001-4096-a004-b3c98b8db571 · inbound

Ask-E: An Environment for Calibrated Question Generation cites this paper.

Ask-E: An Environment for Calibrated Question Generation How to Get Your LLM to Generate Challenging Problems for Evaluation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T18:11:50.660114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.