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Paper Citation Record · LEDGER

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.20792.

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

pith.paper-citation-record.v1
2410.20792 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:20.892715Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:12:20.475735Z

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 55b61800-0737-4b37-94fa-ed77c74908e4 · inbound

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification cites this paper.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:53:45.876758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:53:45.876758Z digest=sha256:bdedb90bac644f5f626db35bcf445c3052c601b8d792d6e09bf0b5a635cb0c85

Observation fab398e1-0327-4d49-ac92-c89d4941f582 · inbound

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation cites this paper.

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T17:55:20.892715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:55:20.892715Z digest=sha256:a92a5d1530f5e6c7c88f51c22173bc400bf946b4e991a4a962213b50ac77909a

Observation 1d9e6b9f-d04e-4eb3-ae9e-b668c840f867 · inbound

Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction cites this paper.

Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T17:55:18.015238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:55:18.015238Z digest=sha256:14d15b5f3813df7ba6462ad059364f372f53b218a20f3becec69e88bc01dc04f

Observation 6316fff1-1ca7-435c-b7a9-bb9e32207cb4 · inbound

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction cites this paper.

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T23:46:09.652163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:46:09.652163Z digest=sha256:7f66c0921199c3c0f2cb9eaf31fa6be89e574c28d9213382550fa37839d5ed7a

Observation dd0ad18f-475a-4828-9ca9-48e81f0dc65e · inbound

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models cites this paper.

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T19:54:34.513974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:34.513974Z digest=sha256:16127af0f600075594bee490ebd6e93e0a090e9e10c53579eac316501403a596

Observation 8dc69691-eaa8-4b5f-84a8-577762bd02d4 · inbound

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders cites this paper.

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:12:20.483479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:12:19.939222Z digest=sha256:7deb6ff9761571062208015576fcb4876e1c2129833417cc16f9dc167573d99f

Observation 1c0814f0-1c5d-4b7e-bc26-4266d1bc7172 · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:48.038092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:48.038092Z digest=sha256:9bd812690838453b9556780905f60ee3dd77b142fbc4c7fdcd83e788b5aea368