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Paper Citation Record · LEDGER

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.01562.

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

pith.paper-citation-record.v1
2211.01562 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:22:19.638671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:50:09.485408Z

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 29fad384-8579-4460-99ec-0e7c9de3cf78 · inbound

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:09.487897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T20:50:09.265838Z digest=sha256:fe76751f7fb36b6cc0a68041961b7c6d142a8cad627820656d82f1adfb8959c0

Observation 0688c2e2-0d39-46e3-8063-cb5947109981 · inbound

TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection cites this paper.

TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T18:22:19.638671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:22:19.638671Z digest=sha256:0890f47aa269b8e1fb4d88e8c2f09074943c2fb9e15b0c317d06abdbfbde5be7

Observation 462cfb3a-0f95-4934-9d1a-ff179df4481a · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:25.631368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:25.631368Z digest=sha256:64e05359e94c1e91ab4f362b3b56dc5274dde0cbac719e886bce3ba833d795d8

Observation f651896a-41dd-4777-b475-40c222d3d960 · inbound

ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model cites this paper.

ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:13.565478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:13.565478Z digest=sha256:b456371089dfe50ea4c19b81412b11f20aeda2459fdbff1595a85119c80a0bf3

Observation fd8281ac-fab5-489a-81d8-c777d494e750 · inbound

Rethinking Human Preference Evaluation of LLM Rationales cites this paper.

Rethinking Human Preference Evaluation of LLM Rationales PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T17:15:27.894185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:15:27.894185Z digest=sha256:235ba1cd9fd0de1951c9d87d446c07f183867c8bbe46cd395dca3a0f861c0e64