Paper Citation Record · LEDGER

Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2203.04291.

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

pith.paper-citation-record.v1
2203.04291 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:08.887312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:20:54.321959Z

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 3d002f07-029d-49fa-8465-0238aeedbcc8 · inbound

Automatic Metadata Extraction for Text-to-SQL cites this paper.

Automatic Metadata Extraction for Text-to-SQL Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:08.887312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd6a367-1f6d-47f3-bb0d-16f6f41c39fd · inbound

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving cites this paper.

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:57.689898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392cb28a-965c-4393-96ea-325fa901d884 · inbound

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models cites this paper.

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:44.549399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81f7c2d-d62f-4931-b042-0886a89d9fc6 · inbound

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements cites this paper.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.271661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a93fd2c-e35e-43cc-b7e7-6c2336d54140 · inbound

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review cites this paper.

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.938368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e971c9-07d1-441a-afa1-10d0e7d5b009 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:11.287696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2eb450-b71b-453e-a34e-f921c6268332 · inbound

SAM$^{*}$: Task-Adaptive SAM with Physics-Guided Rewards cites this paper.

SAM$^{*}$: Task-Adaptive SAM with Physics-Guided Rewards Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T23:16:07.417184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db9e0e1-3523-486b-b0dd-26045eb1f3b7 · inbound

Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment cites this paper.

Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:20:17.526959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ceef1b-5eb1-4742-8c5c-2f680e66feb7 · inbound

Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net cites this paper.

Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:20:54.324006Z

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 f5e07d81-2757-4f04-9db0-10bf77190958 · inbound

A Rule-Aware Prompt Framework for Structured Numeric Reasoning in Cyber-Physical Systems cites this paper.

A Rule-Aware Prompt Framework for Structured Numeric Reasoning in Cyber-Physical Systems Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:18:36.793845Z

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 189f0d3e-5103-4b31-8f3d-d14aa5785c4e · inbound

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair cites this paper.

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T20:17:26.914539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 618c3b48-fdcd-4c84-adac-7a5ad4920a8c · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-01T07:28:34.259389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.