Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Are Zero-Shot Text Classifiers
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2312.01044.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:04.277590Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T21:28:00.077676Z
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 66ed4700-903a-41f0-b7e8-53b3b5f642c3 · inbound
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features cites this paper.
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Large Language Models Are Zero-Shot Text Classifiers
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:24:06.903563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e04ac125-170c-4bbf-9cad-8eb20172bf35 · inbound
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Large Language Models Are Zero-Shot Text Classifiers
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:35:28.487477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9edd4bb3-f393-48b5-9a45-7b715946ece5 · inbound
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors cites this paper.
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors Large Language Models Are Zero-Shot Text Classifiers
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:24:04.277590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d30ae5f-02e7-449f-8f01-fa9f000e5e56 · inbound
Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks cites this paper.
Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks Large Language Models Are Zero-Shot Text Classifiers
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:54:45.832964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d707f62f-f107-46a0-83a7-207a82dad2d6 · inbound
Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs cites this paper.
Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs Large Language Models Are Zero-Shot Text Classifiers
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:20:56.121461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8b8ae55a-edca-4513-9718-21e241d6fe7d · inbound
LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines cites this paper.
LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines Large Language Models Are Zero-Shot Text Classifiers
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:21:01.640725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bfe4cf65-a182-48c9-a455-c8cc6aa3f12e · inbound
ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering cites this paper.
ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering Large Language Models Are Zero-Shot Text Classifiers
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:46:17.325585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a66635c8-d528-43f2-9ca2-3bf7485c702f · inbound
BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration cites this paper.
BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration Large Language Models Are Zero-Shot Text Classifiers
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:28:00.079206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 280f9e99-548a-4ec2-bc87-e03dde4b8ee6 · inbound
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Large Language Models Are Zero-Shot Text Classifiers
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:49:38.585839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.