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Paper Citation Record · LEDGER

ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.12454.

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

pith.paper-citation-record.v1
2407.12454 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:59.424310Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:53:01.296876Z

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 1d2d9d93-ba42-4524-8e83-b805e5e6374b · inbound

Developing a Risk Identification Framework for Foundation Model Uses cites this paper.

Developing a Risk Identification Framework for Foundation Model Uses ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:53:01.303569Z

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=2026-08-07T11:52:59.424310Z digest=sha256:185f886f558dbbeeddd62c6b8b340674790f56b9df4f09655b8585417976bdd2