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Paper Citation Record · LEDGER

Prompting Language Models for Linguistic Structure

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.07830.

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

pith.paper-citation-record.v1
2211.07830 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:43:58.279344Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:39:33.710257Z

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 598440ea-8ed7-46c4-9a61-16de73d3484c · inbound

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma cites this paper.

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma Prompting Language Models for Linguistic Structure

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-08T11:43:58.279344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:43:58.279344Z digest=sha256:31af12ca37189ba68bd4058b44b00f310bb8e4f695028e2896e89df99e146d80

Observation 399facc2-1a74-4927-b3bf-63839c912071 · inbound

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting cites this paper.

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting Prompting Language Models for Linguistic Structure

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:39:33.788423Z

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=pdf_text observed=2026-08-05T17:39:18.877399Z digest=sha256:f9055a34016b75cbfa5dd088b94ceda454c6e5062c6dba4004298e1bce8fabb4