Paper Citation Record · LEDGER

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.02201.

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

pith.paper-citation-record.v1
2102.02201 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:56.530678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:05:45.602425Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 7b2deba0-7d0d-465b-91e4-8dd87314ed9a · inbound

Cross-Task Generalization via Natural Language Crowdsourcing Instructions cites this paper.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:57:29.524667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a6afcd7-212b-4080-b47d-1a6a443c8603 · inbound

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

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:54:44.739408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ab48ca3-fc0d-4fd0-9745-79abd28fd8d7 · 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 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:09.411924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f27e3ed-8edb-4f89-8dd0-76adb2938146 · inbound

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning cites this paper.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:56.530678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ce20c8-63f9-42e8-b8fd-eeeade14160c · inbound

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability cites this paper.

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:14.235531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 911088c5-775d-4491-bafe-eaf6a5df9a86 · inbound

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability cites this paper.

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:05:45.604218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.