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Paper Citation Record · LEDGER

Evaluating ChatGPT on Nuclear Domain-Specific Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00090.

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

pith.paper-citation-record.v1
2409.00090 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:42:49.690596Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 11037d4a-4008-4086-a51c-4a5f9960a4ee · inbound

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance cites this paper.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Evaluating ChatGPT on Nuclear Domain-Specific Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T09:42:49.690596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:42:49.690596Z digest=sha256:4bc315d9ee4f430b9eb40fcc84336613b319856185a6909f4126ff6b9d85a5ad

Observation b8d3777e-4822-4ff6-a3c6-f794f1a11ffb · inbound

AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System cites this paper.

AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System Evaluating ChatGPT on Nuclear Domain-Specific Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T09:41:58.825284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:41:58.825284Z digest=sha256:555dc89420d641ed1188395da72cd75093ededd9303948f27b2bf19cb8300530