Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.13353.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:03.431903Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T13:48:43.441915Z
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 985df5e7-273c-443d-be1d-934b1b081b27 · inbound
Multitask Prompted Training Enables Zero-Shot Task Generalization cites this paper.
Multitask Prompted Training Enables Zero-Shot Task Generalization Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T17:59:43.129148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ec8d349f-fcdc-4581-ad66-8c11420a5432 · inbound
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 218
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:51:46.864734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ec0ea492-36db-453d-b2ae-d7472c082be3 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 226
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:48:43.443789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fc899208-20af-4610-a895-0167fb1ec19b · inbound
When IoT Meet LLMs: Applications and Challenges cites this paper.
When IoT Meet LLMs: Applications and Challenges Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:58:52.623237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2feb0ba-d91c-44a4-b914-6868d54197c2 · inbound
QuaLLM-Health: An Adaptation of an LLM-Based Framework for Quantitative Data Extraction from Online Health Discussions cites this paper.
QuaLLM-Health: An Adaptation of an LLM-Based Framework for Quantitative Data Extraction from Online Health Discussions Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:40:54.196565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6d64736-3fd3-4ce9-a2e0-8cc0fc48059f · inbound
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts cites this paper.
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:05:08.185596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcfb3d70-420f-4c40-8235-c60166c31e82 · inbound
Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification cites this paper.
Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:40:03.431903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.