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Paper Citation Record · LEDGER

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.03401.

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

pith.paper-citation-record.v1
2205.03401 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:20:47.948928Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:54:44.803467Z

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 04ba2662-1278-45da-89b9-6e41c3dbf686 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:54:44.804790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:0f73c6894708dc2594d87390b7e545967fa8343888d5723636e4ef218d1229de

Observation 1a5e70c6-d9b6-48fa-aceb-4e392b373cde · inbound

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations cites this paper.

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T17:20:47.948928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:20:47.948928Z digest=sha256:052575169d2aef74c79aae90b8674fa04b292f710113004cde017a1aea303aca

Observation bfbd5404-f0a2-4ad1-b8fa-0429ec14a1ea · inbound

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models cites this paper.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.023057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.023057Z digest=sha256:d1b3c792cea1a93462eae388ac0d216a2d36d54baa9455dbc863f43a772b8a71