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Paper Citation Record · LEDGER

Unveiling and Manipulating Prompt Influence in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.11891.

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

pith.paper-citation-record.v1
2405.11891 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:55:45.473373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:41:02.245593Z

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 fb873f31-db0a-42d2-b04a-62f139adcc0c · inbound

Benchmarking Prompt Sensitivity in Large Language Models cites this paper.

Benchmarking Prompt Sensitivity in Large Language Models Unveiling and Manipulating Prompt Influence in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:55:45.473373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:55:45.473373Z digest=sha256:d243f1b138b1c1c0669839ed297c971805c66cbe8d2edc403bcaf531a67e9247

Observation 1c556e3e-c40c-421a-9db6-0e89048ad948 · inbound

Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs cites this paper.

Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs Unveiling and Manipulating Prompt Influence in Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:02.262204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T15:23:53.906870Z digest=sha256:f5f1b0902525bb1f4a0224a4793b0fb2c2af973655d47384e4b1631549e4195a