Paper Citation Record · LEDGER

How to Fine-Tune BERT for Text Classification?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1905.05583.

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

pith.paper-citation-record.v1
1905.05583 v3

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 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:46:09.690338Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

95
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5041efed-ce41-4506-8160-4923527fe180 · inbound

To Tune or Not To Tune? How About the Best of Both Worlds? cites this paper.

To Tune or Not To Tune? How About the Best of Both Worlds? How to Fine-Tune BERT for Text Classification?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:46:30.640759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 891a41cc-66a5-4ea0-bff3-4a3073492f16 · inbound

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models cites this paper.

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models How to Fine-Tune BERT for Text Classification?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:26:05.125770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4e5b810-f296-40b7-be6f-a77e1dd6a4c6 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models How to Fine-Tune BERT for Text Classification?

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.383063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50a35f0b-5963-43f7-9d04-a9077cb23b78 · inbound

Towards the Anonymization of the Language Modeling cites this paper.

Towards the Anonymization of the Language Modeling How to Fine-Tune BERT for Text Classification?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:32:39.544581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8945b60d-bc60-41cf-855e-d76e45f9745d · inbound

Stay Focused: Problem Drift in Multi-Agent Debate cites this paper.

Stay Focused: Problem Drift in Multi-Agent Debate How to Fine-Tune BERT for Text Classification?

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T01:52:22.981793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 650c6b4b-4793-4eda-9bfa-6a10180ea15e · inbound

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts cites this paper.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts How to Fine-Tune BERT for Text Classification?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:46:09.690338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3165a80-ad5d-4682-9f1b-3a18f733598d · inbound

ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language cites this paper.

ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language How to Fine-Tune BERT for Text Classification?

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:54:14.530955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aede7dd5-0a44-48ae-9e09-71d11c5b2dac · inbound

Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics cites this paper.

Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics How to Fine-Tune BERT for Text Classification?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:04.336365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b9ff41b-d278-418b-926a-365583541908 · inbound

Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom cites this paper.

Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom How to Fine-Tune BERT for Text Classification?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:39:50.430827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf110b5f-cb51-49f3-b8fe-c6051ee61527 · inbound

Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning cites this paper.

Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning How to Fine-Tune BERT for Text Classification?

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:23:12.844150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 242d29d0-cac7-45bb-a536-58d5d3555d9a · inbound

PortBERT: Navigating the Depths of Portuguese Language Models cites this paper.

PortBERT: Navigating the Depths of Portuguese Language Models How to Fine-Tune BERT for Text Classification?

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:06:20.124854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.