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Paper Citation Record · LEDGER

Classification of Safety Events at Nuclear Sites using Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00091.

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

pith.paper-citation-record.v1
2409.00091 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:05:24.108273Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:05:25.641113Z

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 855be4d5-fb25-4d60-b394-6924b477f218 · inbound

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance cites this paper.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Classification of Safety Events at Nuclear Sites using Large Language Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-09T15:05:25.649628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-09T15:05:24.108273Z digest=sha256:68dab2799be0851d7ca7d954cfda20875559ba06aa524b3434418bcca2fe23c5

Observation 091fcc7c-92a8-4818-b180-0b6762d831d6 · 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 Classification of Safety Events at Nuclear Sites using Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T09:42:49.743000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:42:49.743000Z digest=sha256:3443fa9a3b00e1d1df0bb66d54588b880f91152b06dc3e8f5de0f3d7ad8b1457