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Paper Citation Record · LEDGER

Intent Assurance using LLMs guided by Intent Drift

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.00715.

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

pith.paper-citation-record.v1
2402.00715 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:27.788086Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:16:16.768632Z

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 0480ad43-f8e9-4c04-9e4b-06efe5fecf54 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Intent Assurance using LLMs guided by Intent Drift

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:27.788086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:27.788086Z digest=sha256:e5adf1d001fa1982e3ca1dcf4874c1cf46e61774e83e72838df19746bd960554

Observation a150843b-96d5-4dc4-b6fd-dc8a72a0c52a · inbound

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech cites this paper.

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech Intent Assurance using LLMs guided by Intent Drift

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:52:08.012262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T22:52:07.707379Z digest=sha256:1757e27c29ed464b00e961330c48760604aa664f5213c8877dad5dd08a815101