Paper Citation Record · LEDGER

Pushing The Limit of LLM Capacity for Text Classification

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.07470.

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

pith.paper-citation-record.v1
2402.07470 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:29:14.688109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:04:57.132763Z

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 92a24550-0aed-443f-a6a3-5b988b59b57f · inbound

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements cites this paper.

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements Pushing The Limit of LLM Capacity for Text Classification

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:03:55.612858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5335a824-d493-43b0-9de5-d00bb0911c3c · inbound

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy cites this paper.

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy Pushing The Limit of LLM Capacity for Text Classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T19:35:30.053699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258b6f73-1f29-444f-a2d9-29edb63da01a · inbound

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off cites this paper.

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Pushing The Limit of LLM Capacity for Text Classification

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T17:34:04.320584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e7f6c9-c651-4287-9cae-a78d043e00f0 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Pushing The Limit of LLM Capacity for Text Classification

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T14:15:31.407698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811ee0de-aac2-43d1-90d3-d4b1ae051eae · inbound

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification cites this paper.

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification Pushing The Limit of LLM Capacity for Text Classification

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:40.201567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba4344d-9c74-4e7c-b117-2bc2aefdc4eb · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation Pushing The Limit of LLM Capacity for Text Classification

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T05:33:52.510468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67da13b-a29b-44d1-b737-abf8092a5a00 · inbound

Comparative Study on the Discourse Meaning of Chinese and English Media in the Paris Olympics Based on LDA Topic Modeling Technology and LLM Prompt Engineering cites this paper.

Comparative Study on the Discourse Meaning of Chinese and English Media in the Paris Olympics Based on LDA Topic Modeling Technology and LLM Prompt Engineering Pushing The Limit of LLM Capacity for Text Classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:29:14.688109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0faaba-acf9-4476-ada7-3de4ba9f24e1 · inbound

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? cites this paper.

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? Pushing The Limit of LLM Capacity for Text Classification

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:12.023681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ad08c4-b705-4453-bcec-f87af72bd31e · inbound

A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals cites this paper.

A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Pushing The Limit of LLM Capacity for Text Classification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:44:40.054822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb463f7-803b-4ceb-b9b1-e41514124f1a · inbound

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting cites this paper.

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting Pushing The Limit of LLM Capacity for Text Classification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:18.288871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68073d23-6db5-4758-afc5-055bcbfc83f8 · inbound

Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support cites this paper.

Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support Pushing The Limit of LLM Capacity for Text Classification

Reference 101

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:04:57.137924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.