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Paper Citation Record · LEDGER

On the Limitations of Large Language Models (LLMs): False Attribution

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.04631.

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

pith.paper-citation-record.v1
2404.04631 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:13.633428Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:20:30.245587Z

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 3c7cb6d6-c4dc-4e39-bdc1-0c80a0e3849b · inbound

Document Attribution: Examining Citation Relationships using Large Language Models cites this paper.

Document Attribution: Examining Citation Relationships using Large Language Models On the Limitations of Large Language Models (LLMs): False Attribution

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:13.633428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:05:13.633428Z digest=sha256:60a0c01690fb97889dcedbc4a370874c69bb4eb6c9f78686b067f4356eb1c572

Observation d20daec9-cf49-4375-a377-cd33705e0398 · inbound

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches cites this paper.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches On the Limitations of Large Language Models (LLMs): False Attribution

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:20:30.309096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:20:27.895858Z digest=sha256:5d809f109928f864340e2677e9f14a5e76a8bc7a7e1ad2b167eea56979cb6f4c