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Paper Citation Record · LEDGER

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16524.

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

pith.paper-citation-record.v1
2310.16524 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T20:31:34.005180Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.212422Z

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 80a3a96b-8fe8-4a6a-a02f-8810011af5b4 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:38:35.785014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T02:37:37.989768Z digest=sha256:fbc0d45d007bdb6c4f1e6cf531a9105b411b5ddf2982974b2c4fbd3202017ce9

Observation 4bb6e40d-765b-499b-81ab-34334e5e6289 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:33:43.214330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T20:31:34.005180Z digest=sha256:2a7d3b1fee5fd3d8230007224ddaf834ff703c24ab12af2f936cafc38a687de0