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Paper Citation Record · LEDGER

AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.01940.

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

pith.paper-citation-record.v1
2503.01940 v2

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:50:32.099856Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6c286531-2db7-4f45-bae6-f6a2343c548f · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.099856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.099856Z digest=sha256:1a00f6b8c6332bcd96820803d474ec43d0420cfc7a16168be18c1bd4550cbd18

Observation 60c60411-58d3-4775-b824-6a9f5c0a8f0c · inbound

Pause or Fabricate? Training Language Models for Grounded Reasoning cites this paper.

Pause or Fabricate? Training Language Models for Grounded Reasoning AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:03:36.664925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T03:01:58.366028Z digest=sha256:860ee4c383c886fceee0d6a67551069b7125264b9ea3e02505cc23faf94a1f8f