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Paper Citation Record · LEDGER

Prompt2Model: Generating Deployable Models from Natural Language Instructions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.12261.

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

pith.paper-citation-record.v1
2308.12261 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:57:02.038589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T22:57:02.619103Z

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 c30c3dd5-af54-4cb0-b94b-f9fd105eb4f3 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Prompt2Model: Generating Deployable Models from Natural Language Instructions

Reference 195

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:57:02.622260Z

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.

source=arxiv_source observed=2026-08-11T22:57:02.038589Z digest=sha256:9dce944afcb53f97777759fc808fbfd0a4fce35356ce434ecb52aa80704888c9

Observation ff22ceef-a785-4b74-aff1-3f317b2b80c1 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Prompt2Model: Generating Deployable Models from Natural Language Instructions

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:26.272540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:26.272540Z digest=sha256:a3c6b3731548a32f2d39acd3c6ed214ad30d5ccee10e789e2db903aa6cb79e1e