Pith. sign in

Paper Citation Record · LEDGER

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.13144.

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

pith.paper-citation-record.v1
2508.13144 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T21:10:10.548489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.665680Z

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 5836d679-f4c9-4ecd-9e88-f0cc6685728c · inbound

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation cites this paper.

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:52:45.619149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T22:48:20.193699Z digest=sha256:9ac9c979b5469e911eadc96571a807aa7b886c0c2d5e4f667557f525791e2cfc

Observation e143dbd7-b379-4fcb-8923-851e2092691d · inbound

Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation cites this paper.

Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.667294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:54:22.974336Z digest=sha256:e61ee0f3c4b02203b0ff513db1a75403650251345e83996373a3c4c94a2f3490

Observation 28aed6d8-f367-48d4-94ae-562d17e30cdc · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:47.697916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T01:16:16.834861Z digest=sha256:6c20229e134c689203ad641666a954ba4152073e11161e72ec586e357c98fa55

Observation cb4686b8-c5f2-4d3c-b97c-306c93e5f914 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.071487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T21:10:10.548489Z digest=sha256:665c6c20edd6306e7900ec06f36dd4a570e7229d694b1b864d2d783df55f9437