Paper Citation Record · LEDGER

On Speeding Up Language Model Evaluation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06172.

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

pith.paper-citation-record.v1
2407.06172 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:56:08.350983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:46.892028Z

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 e8a454e4-155c-44a6-93ef-63ffc29a4e1c · inbound

How Benchmark Prediction from Fewer Data Misses the Mark cites this paper.

How Benchmark Prediction from Fewer Data Misses the Mark On Speeding Up Language Model Evaluation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:27.015178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6846db83-9dc0-43c6-9dc2-a3bdefda44f5 · inbound

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent cites this paper.

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent On Speeding Up Language Model Evaluation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:25:52.457717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b767ecb-7cb9-4747-9957-2aa48253ca9b · inbound

You Don't Need to Run Every Eval cites this paper.

You Don't Need to Run Every Eval On Speeding Up Language Model Evaluation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:49:46.893880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e694aa7b-e7d9-4cac-84b6-701bafa4fab4 · inbound

Dynamically Allocating Evaluation Effort for Model Ranking cites this paper.

Dynamically Allocating Evaluation Effort for Model Ranking On Speeding Up Language Model Evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:08.350983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.