Paper Citation Record · LEDGER

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2507.01437.

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

pith.paper-citation-record.v1
2507.01437 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:54:29.788876Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:45.705643Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:10:17.650927Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy16
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed63dd37-c2d1-45bc-9f80-0799c3b681e6 · outbound

This paper cites Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:33.837184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3dc0e6f7-1570-482c-a732-b2524bb9868c · outbound

This paper cites Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:33.588787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e730a3b6-9830-404f-9e98-887ecb28a842 · outbound

This paper cites Neural natural language processing for unstructured data in electronic health records: a review,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Neural natural language processing for unstructured data in electronic health records: a review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:33.383470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36fc80b9-df76-4af5-b1ab-d594e5f1aacb · outbound

This paper cites Semantic interoperability in health records standards: a systematic literature review,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Semantic interoperability in health records standards: a systematic literature review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:33.189074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b21f7cc-cead-4dfa-8b6a-1ae5a54a4c3c · outbound

This paper cites Time-aware and multi-source feature fusion for transformer-based medical text analysis,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Time-aware and multi-source feature fusion for transformer-based medical text analysis,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:27.228705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372d7656-dacb-486b-b01d-7f593b153ed7 · outbound

This paper cites A LongFormer-based framework for accurate and efficient medical text summarization,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction A LongFormer-based framework for accurate and efficient medical text summarization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:32.916726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf49eefc-09c1-449a-ac80-e2a976fbca83 · outbound

This paper cites Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:54:30.021739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation beeae451-4c3a-4b5c-beb1-f3741296bba1 · outbound

This paper cites Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:27.583711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e99c04-bf74-4408-b681-96a15c1252e9 · outbound

This paper cites Perception-guided structural framework for large language model design,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Perception-guided structural framework for large language model design,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:27.716675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b987bd70-4f9f-4dc6-bbcb-f95fb7234c78 · outbound

This paper cites Unified instruction encoding and gradient coordination for multi-task language models,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Unified instruction encoding and gradient coordination for multi-task language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:27.835781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3404dfa-a8d0-4f2f-9812-fc6901ccf27e · outbound

This paper cites Bootstrapped structural prompting for analogical reasoning in pretrained language models,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Bootstrapped structural prompting for analogical reasoning in pretrained language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:32.621688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4edf8fc8-b2fa-4de7-a1ff-038da28c015a · outbound

This paper cites Challenges and opportunities beyond structured data in analysis of electronic health records,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Challenges and opportunities beyond structured data in analysis of electronic health records,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:32.386605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75b67ee1-e694-4892-ad5b-1d249c7a08a7 · outbound

This paper cites Osteoarthritis across joint sites in the Million Veteran Program cohort: insights from electronic health records and military service history,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Osteoarthritis across joint sites in the Million Veteran Program cohort: insights from electronic health records and military service history,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:31.942730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0d43ee9-fae5-46d7-aa50-20ee7e3cf2fa · outbound

This paper cites an unresolved cited work.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:54:31.622261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c878808-f42a-4c1e-90b9-f36f7aa8dfbf · outbound

This paper cites Unsupervised anomaly detection in structured data using structure-aware diffusion mechanisms,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Unsupervised anomaly detection in structured data using structure-aware diffusion mechanisms,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:28.471862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe72caf-9093-4b75-9eaa-57863405d72f · outbound

This paper cites Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:28.557958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe099b02-7215-412a-a69b-c73fe1f261dc · outbound

This paper cites A hierarchical feature fusion and dynamic collaboration framework for robust small target detection,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction A hierarchical feature fusion and dynamic collaboration framework for robust small target detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:31.496215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 367b7e81-5a99-4a6b-bdec-b057c9ef71e4 · outbound

This paper cites A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:28.791270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d8c0bb-e6d4-4d07-8fba-b5099e4891fc · outbound

This paper cites Survival prediction across diverse cancer types using neural networks,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Survival prediction across diverse cancer types using neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:31.374189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 628a48f3-e446-4173-8f5a-a41c611fb7ee · outbound

This paper cites A meta-learning framework for cross-service elastic scaling in cloud environments,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction A meta-learning framework for cross-service elastic scaling in cloud environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:31.197038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61f4a530-d44a-413c-930e-72b0ec4916e1 · outbound

This paper cites A deep Q-network approach to intelligent cache management in dynamic backend environments,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction A deep Q-network approach to intelligent cache management in dynamic backend environments,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:29.189980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989cd82b-514b-41e7-a5b5-d79ae8cce245 · outbound

This paper cites Multi-way adaptive time aware LSTM for irregularly collected sequential ICU data,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Multi-way adaptive time aware LSTM for irregularly collected sequential ICU data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:30.982036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d2660ca-d31d-438a-a8e4-50b38a5308f0 · outbound

This paper cites Advancements in telehealth: enhancing breast cancer detection and health automation through smart integration of IoT and CNN deep learning in residential and healthcare settings,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Advancements in telehealth: enhancing breast cancer detection and health automation through smart integration of IoT and CNN deep learning in residential and healthcare settings,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:30.823012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a78c9003-623a-4791-89c6-60eff3314900 · outbound

This paper cites Blockchain-based secure cloud storage for IoT healthcare using BiGRU and BiLSTM models,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Blockchain-based secure cloud storage for IoT healthcare using BiGRU and BiLSTM models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:30.648344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3bbb91a-d8bd-40b9-8a45-4a0c71163e3c · outbound

This paper cites RF-MediSys: a radio frequency identification-based electronic medical record system for improving medical information accessibility and services at point of care,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction RF-MediSys: a radio frequency identification-based electronic medical record system for improving medical information accessibility and services at point of care,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:30.485743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a2dc593-b178-4ddd-8ca8-afe4465d8006 · outbound

This paper cites DITTO: an explainable machine-learning model for transcript-specific variant pathogenicity prediction,.

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction DITTO: an explainable machine-learning model for transcript-specific variant pathogenicity prediction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:54:30.302065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 68d2485b-7b5e-46b7-bfa6-051d3de5ec55 · inbound

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery cites this paper.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:45.705643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8893a5e-2763-4517-80af-81f9ff19f2b5 · inbound

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services cites this paper.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:32.101675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75098990-264e-4e3e-bd04-184f85d2f058 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.687754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.