Paper Citation Record · LEDGER

Adaptable and Reliable Text Classification using Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.10523.

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

pith.paper-citation-record.v1
2405.10523 v3

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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:45:31.862981Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ffeaafc-2fe1-4cba-a761-89285b4cf03e · inbound

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production cites this paper.

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production Adaptable and Reliable Text Classification using Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T17:45:31.862981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5a7e81-a0bf-47eb-bd3a-6f9595377d6e · inbound

Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach cites this paper.

Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach Adaptable and Reliable Text Classification using Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:40.110201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca8e5d3-e884-451c-8dc9-00a9068d4b05 · inbound

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data cites this paper.

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data Adaptable and Reliable Text Classification using Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:11.287684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c5e305-e44a-4878-8184-9d58400a3e59 · inbound

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails cites this paper.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Adaptable and Reliable Text Classification using Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:23.010918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d6c8c2-935d-472d-a3e9-0023f6223a01 · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Adaptable and Reliable Text Classification using Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:30.798154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08bcb9f-91db-4f4e-867c-3c0d245f4e92 · inbound

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection cites this paper.

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection Adaptable and Reliable Text Classification using Large Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-01T11:18:37.112536Z

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.