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Paper Citation Record · LEDGER

Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.14296.

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

pith.paper-citation-record.v1
2501.14296 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:00.001334Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:43:58.335104Z

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 5a07de35-388b-415a-a0f9-79f19c4ac1ec · inbound

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions cites this paper.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:00.001334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:00.001334Z digest=sha256:606311699f6e2fd4814678ff13256590e5eab09e07b82f787aed5cf14d55cd0b

Observation 230f0533-fcec-4b05-ba69-87b8accca1b6 · inbound

Synthetic Data Generation for Phrase Break Prediction with Large Language Model cites this paper.

Synthetic Data Generation for Phrase Break Prediction with Large Language Model Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:43:58.338469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:43:58.263199Z digest=sha256:218317be131b0efc7eb12f9be3a3fc02dbb8b40989709c6c1e42230efebabe81