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Paper Citation Record · LEDGER

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2502.07755.

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

pith.paper-citation-record.v1
2502.07755 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:44:07.232715Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:33:43.179368Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:35:52.391381Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ef30e9e-c927-4887-87b8-3382f5292665 · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.146995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.929702Z digest=sha256:408d76f84a4a74d6a304cfaa7fd9f37b3a4a5db542d349c4077a829f8bfe0dd2

Observation 8381c944-6913-4868-a310-bfb312c3790e · outbound

This paper cites This process involves translating text from English to German and subsequently re-translating it back to English, thereby generating paraphrased versions of the original data.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating This process involves translating text from English to German and subsequently re-translating it back to English, thereby generating paraphrased versions of the original data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.138224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.934662Z digest=sha256:b34019960dd6566b35c7399a37bac0a24e57706aa790dd68ae0a181ede54e131

Observation 2a8cebf0-0d58-4f60-be67-a578faf295b1 · outbound

This paper cites This allows the model to generate high-quality embeddings that are crucial for downstream classification tasks.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating This allows the model to generate high-quality embeddings that are crucial for downstream classification tasks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.128761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.938514Z digest=sha256:64fcfe08f2d8ca6418646130bba73ca45cbc60a58571b9c26ccefeb2a71d06b9

Observation b76049e5-a202-4c8a-843f-d51911d320db · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.118387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.943104Z digest=sha256:01882d2eecb6a11d184a9896edee222c3778a6bb981a9f4dba168386884cacc2

Observation 977da38d-678e-4f79-9b13-cf985e30ee3c · outbound

This paper cites Additionally, a comprehensive literature review is presented, summarizing key studies and methodologies in the field of medical diagnosis using NLP techniques.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Additionally, a comprehensive literature review is presented, summarizing key studies and methodologies in the field of medical diagnosis using NLP techniques

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.108573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.946671Z digest=sha256:78294e27c64739183a543634014b5c8cfdc8c44d5096e8e2153772734c1353c2

Observation 9f398628-5eeb-4a06-b4d7-5cf2083cc5e4 · outbound

This paper cites bank" near.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating bank" near

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.098086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.950701Z digest=sha256:1043fee49e7d6e1d9acec5986c4c0be1eacbe20996e569ca6b1fac3150d8040c

Observation f4af9e3d-ed6f-4ad3-b160-86ca9e9b28a8 · outbound

This paper cites Retains DeBERTa's three terms but adaptively reweights C→P via a learned gate 𝛼𝑖,𝑗.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Retains DeBERTa's three terms but adaptively reweights C→P via a learned gate 𝛼𝑖,𝑗

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.087885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.954948Z digest=sha256:8168cc5164d6717a147b291db72c901bf9cd9c318a8b2a979efe1506d492a6f8

Observation 2bf260da-da91-40bf-820a-3bb3aca9f561 · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.077691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.958264Z digest=sha256:2c7c8dde32cb146d06deceb589ff06d0972a027d7b451d0ff1679d56e87b9b22

Observation 099227d0-cc57-44bb-b1a7-57e7cb30d98a · outbound

This paper cites (15) with 𝑄, 𝐾, 𝑉 = 𝑊𝑄ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑, 𝑊𝐾ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑, 𝑊𝑉ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating (15) with 𝑄, 𝐾, 𝑉 = 𝑊𝑄ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑, 𝑊𝐾ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑, 𝑊𝑉ℎ𝑐𝑜𝑚𝑏𝑖𝑛𝑒𝑑

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.067818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.961556Z digest=sha256:d6bf670adc1790ea10a4d8fbf7489447a92c36e1fb8ed231cf5c9b55e9826c15

Observation 048cf07f-1b6b-4a46-a151-1691fe3a8bfe · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.058183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 69309e2b-46c4-4ddb-b5ce-edca7fb0f113 · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.048432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.968686Z digest=sha256:dcccdbf227f89c179d5e2c9714b7d51d3b90b287fa2bb3766b775cc576c6cb05

Observation fc959635-d3be-4e4d-8096-9dabea2ce9f7 · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.038382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.971953Z digest=sha256:61f8b5b1bb08c49c364acf4f2d8c9f11220c9bc8b61c823c2e1a7cb2bcd02da5

Observation b83a10f3-fff9-42c4-8e7a-40f14d83b476 · outbound

This paper cites This introduces lexical variety while preserving semantic meaning, improving the model's ability to generalize.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating This introduces lexical variety while preserving semantic meaning, improving the model's ability to generalize

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:08.028437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.976280Z digest=sha256:6d7aebb476d1352be4e9ae99d5ea044f0922889bf11e3a585cdbd06d37d9b426

Observation 9f2aa1a6-cc61-452a-a4db-9aaad427026e · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.017683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.979317Z digest=sha256:78d8f87c32b9febaf3be2cfc5347b188e0ddf7786b20b9e26ec0454533e0d236

Observation 84dd37a2-a80d-4e8d-97ad-6942b2ef06f4 · outbound

This paper cites an unresolved cited work.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:44:08.007322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.982123Z digest=sha256:3bb3dd35ef9ac18c268f5e58cdf9d47b1bcd85adab17dffa24830f168a78aae2

Observation 752c4b25-66a7-4ea3-aa3a-f8fb70365dbc · outbound

This paper cites The schematic representation of the proposed method is illustrated in Figure 2.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating The schematic representation of the proposed method is illustrated in Figure 2

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.998153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.985738Z digest=sha256:934838b113ebca9df189fee518934d373fbc9246bc929968a3416c9452a4e929

Observation e660eb09-083e-46ec-91d9-f7f17fe161e7 · outbound

This paper cites fever for 5 days.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating fever for 5 days

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.989079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.989664Z digest=sha256:ca4480cf4d529214cee5950ec4145c09a6b4e231ca3f3e1910c8d454083ef495

Observation 32543dbb-6da0-4afc-a6ad-64bf1f6d9376 · outbound

This paper cites Our innovative approach combines Back -Translation techniques, an enhanced version of DeBERTa featuring DCPG , and an ABFNN.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Our innovative approach combines Back -Translation techniques, an enhanced version of DeBERTa featuring DCPG , and an ABFNN

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.980283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.993175Z digest=sha256:5ebf41e9fa2d4e23bf593deb3fd2f48c3fb78ebb61fd454147399af67b308916

Observation c1cfbf7c-a141-43e0-9f95-892ab72ae781 · outbound

This paper cites A systematic review of natural language processing in healthcare,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating A systematic review of natural language processing in healthcare,

Reference 19

Resolution
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raw_fallback, observed 2026-08-08T11:44:07.970774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:06.996016Z digest=sha256:75bbca1d69e78f1b5afdcdad047860200927d3fa6825c5398c43a255f907982d

Observation 184b095b-8d8b-4b7e-abfa-8c9dc9e824d6 · outbound

This paper cites Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.960308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.000238Z digest=sha256:1b07921ef099a667e474622d1f5adeacf397b4a1f0c27b05530de3093d3810eb

Observation 6d647052-42cd-4acb-8874-6e48d2939b15 · outbound

This paper cites Deep learning techniques on text classification using Natural language processing (NLP) in social healthcare network: A comprehensive survey,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Deep learning techniques on text classification using Natural language processing (NLP) in social healthcare network: A comprehensive survey,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.950445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.004051Z digest=sha256:b8e763494659172366622e45282a826c3e284021dc06323a9c53808ae5690dd4

Observation 0c3b6751-6289-4b0c-ac90-76de9e647df7 · outbound

This paper cites Attention is all you need,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Attention is all you need,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.940250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.008091Z digest=sha256:936e94403371e963cc1e530256d65cce39111dde0e8cfc61ec17d1f29c06b570

Observation 7f207a2b-5bd7-4e58-8b2a-d23e2e5f2262 · outbound

This paper cites Comparison of DEEP- LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions.,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Comparison of DEEP- LSTM and MLP Models in Estimation of Evaporation Pan for Arid Regions.,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.930490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.011486Z digest=sha256:b5b97f4a1f482df42924d5c0ad0a1add93d27181051edccbf1cb419dafceefcc

Observation 23272efa-0e06-4e15-8eeb-811b216a7e8a · outbound

This paper cites Predicting clinical diagnosis from patients electronic health records using BERT-based neural networks,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Predicting clinical diagnosis from patients electronic health records using BERT-based neural networks,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.920475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.015230Z digest=sha256:1cb598c06559f9c7d8ded61a18687c9b56d258ba6d390c4b180b55f54bc4fc23

Observation c5506a40-04a3-4ce8-b8a9-f011efcbf6cc · outbound

This paper cites Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.909309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.019406Z digest=sha256:cb75713bdd163f5967715899e96aaba2df15d7e81134fcfb4196b75fb56f909d

Observation 0713f657-1bb6-464c-ba95-39f73edcabbc · outbound

This paper cites GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.888571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.023360Z digest=sha256:9662b74b1ba8cb3a03d48e0df611c6368b233dad275a1e4872d1404c57fa0575

Observation cf8461bc-d021-4b67-82b4-aef1e225d40e · outbound

This paper cites Auggpt: Leveraging chatgpt for text data augmentation,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Auggpt: Leveraging chatgpt for text data augmentation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.874925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.027279Z digest=sha256:b6eac7f5ae066322603141311620ac81be767f5e48ef43a5c82f1dd7556c2fa3

Observation 98b916c2-b45e-44bb-900b-22687d43f20e · outbound

This paper cites Diffusion data augmentation for enhancing Norberg hip angle estimation,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Diffusion data augmentation for enhancing Norberg hip angle estimation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.864579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.031466Z digest=sha256:39b1b3853143ad56cb52c6aad0a1cb155d25c63ab9cffe8d7c10f8165740cde2

Observation af795e82-117e-489b-9548-9c09c3312bef · outbound

This paper cites Optimizing classification of diseases through language model analysis of symptoms,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Optimizing classification of diseases through language model analysis of symptoms,

Reference 29

Resolution
verified exact
doi, observed 2026-08-08T11:44:07.349162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.035215Z digest=sha256:59f46bcbe4a85a2879784ed53e0abfa3ea62d64fec270ed40897d841d05cd8d6

Observation 917e723c-3988-4973-b75a-6303eb5027cb · outbound

This paper cites Advancements in AI-Driven Customer Service,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Advancements in AI-Driven Customer Service,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.853728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.038362Z digest=sha256:e502c887ecd3ae4654704b84f8778a7493956d0172969e5cf4ddd64c7f8bbfe0

Observation 790cc63c-f6bf-48c0-bdf4-6a38fde16dab · outbound

This paper cites A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.841187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.041881Z digest=sha256:8e6130381d29260ab99ea599b658e1ed5a4fd7d4cc6cefb96d1eb2ae020693ed

Observation 9667f76d-0b84-4c3f-9d0b-a3959f0fe8cc · outbound

This paper cites A Multi-Sensor Integrated with Augmented Reality System for Precise Nursing Education and Analysis,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating A Multi-Sensor Integrated with Augmented Reality System for Precise Nursing Education and Analysis,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.831174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.045594Z digest=sha256:ee2ddf453298e74fc8bfe493fef6a60236106348c7fb8406473d5d1eb0bfa79d

Observation c3920fe3-f12a-49ed-b010-2af9dcf7b3e8 · outbound

This paper cites COMPARISON OF SEVERAL MACHINE LEARNING METHODS IN CREDIT CARD DEFAULT CLASSIFICATION,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating COMPARISON OF SEVERAL MACHINE LEARNING METHODS IN CREDIT CARD DEFAULT CLASSIFICATION,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.820148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.049798Z digest=sha256:9787269acf00bf70518d0e468677417ec7e8bd1fd6177aa4bf53928cd64f5632

Observation 7e1e761c-203d-4b5d-9556-f240bd17bb3b · outbound

This paper cites Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T11:44:07.052941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:44:07.052941Z digest=sha256:7b4094dc0e04d2d82a05ddb5023ca6c8ff92d41e89b69f8767c246583a45f12c

Observation c9d296c9-35ea-4b83-a102-1974eee2a767 · outbound

This paper cites Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:44:07.374691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.055832Z digest=sha256:f6972f45d7cda2c3da04fd1d1891e057d37fa3ba742585f3a02b50ec1f2c909e

Observation fe859f26-c951-4379-9a30-e13ecceefe05 · outbound

This paper cites Evaluation of LLM-based chatbots for OSINT- based Cyber Threat Awareness,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Evaluation of LLM-based chatbots for OSINT- based Cyber Threat Awareness,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.809779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.060303Z digest=sha256:c604d6ddbea97231b7b7f86d449235e77359b61604f5a48a615bcabf9015b42e

Observation 70a0f2c8-b90c-4973-802a-029a83883be8 · outbound

This paper cites Mri brain cancer image detection: Application of an integrated u-net and resnet50 architecture,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Mri brain cancer image detection: Application of an integrated u-net and resnet50 architecture,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.799289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.064025Z digest=sha256:847cb6d2b53da4f1c40c3197a105a2d56bb1118bcc139f454557881bf3f21e09

Observation 68ad7ae9-9e26-4004-a8e7-b33920f5364f · outbound

This paper cites From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T11:44:07.068173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:44:07.068173Z digest=sha256:adf9a7d8e89f07bb510b8a64ef5e0cf6520bd204ca1e45a137656d9db71b491e

Observation 4c0059da-c08c-4866-ba04-04a4407e753f · outbound

This paper cites Transportation mode detection through spatial attention-based transductive long short-term memory and off- policy feature selection,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Transportation mode detection through spatial attention-based transductive long short-term memory and off- policy feature selection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.787898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.072904Z digest=sha256:72ab097818dcefc1a7bd61a8c7e633e65250b7b322d1e03be9f72d9a3147f8d2

Observation c41260a4-41e7-40f6-b6fe-09f6f82a5e19 · outbound

This paper cites Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.758555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.076967Z digest=sha256:ada82d9557d08241349b19947100a994c92b73dc757fb37f3e725b3b1160d7a7

Observation 7be074fd-5fd2-474c-a2b7-7b45a56c09b6 · outbound

This paper cites Graph attention-based curriculum learning for mental healthcare classification,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Graph attention-based curriculum learning for mental healthcare classification,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.739149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.079997Z digest=sha256:9259e5601e6613b28af82646f54a663983c824979c8b55267d5569d9654d6c4c

Observation 51ea2ffa-6e16-4db5-bae3-4e71577007a7 · outbound

This paper cites Predicting medical specialty from text based on a domain-specific pre-trained BERT,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Predicting medical specialty from text based on a domain-specific pre-trained BERT,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.699641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.083701Z digest=sha256:247d9d490c527cd881aaacc39d265f1a47236506fb6a99d4860c949191e412be

Observation d32239ff-b62e-452c-9b8d-5e1f0028abf2 · outbound

This paper cites Using the contextual language model BERT for multi-criteria classification of scientific articles,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Using the contextual language model BERT for multi-criteria classification of scientific articles,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.652335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.087586Z digest=sha256:a9616e3b8e462ae492d04c10453e8420baeec103c27c1379f4c8561dec2bf246

Observation d78ab80f-b945-4ec3-a8e9-f9078677bdb6 · outbound

This paper cites A role distinguishing Bert model for medical dialogue system in sustainable smart city,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating A role distinguishing Bert model for medical dialogue system in sustainable smart city,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.635605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.091751Z digest=sha256:cca2d0b356d3d14d53bcd26fbc4f27c3324ea1031b8cb7f593069147e3afd7d9

Observation 704b3ca4-7f28-4eec-8c7b-7a88effff400 · outbound

This paper cites Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.580648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.095110Z digest=sha256:1b08442dc179944924b98f2201c107cf04898725fb001652bc39736e0278259f

Observation df265a1f-4d8f-41cc-b621-234a1756d48f · outbound

This paper cites Biomedical Natural Language Inference on Clinical trials using the BERT-based Models,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Biomedical Natural Language Inference on Clinical trials using the BERT-based Models,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.558370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.098601Z digest=sha256:f4e4f178d447fba51368c9a50327e47d274b74af58619023280843190cf29c2b

Observation 4103ce6a-afd4-4d64-b192-2a1dc4820c36 · outbound

This paper cites DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.546402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.101568Z digest=sha256:e23efe6fc1226fc1a4ade96bad603a291408a53dccdbc7fdcaee72fdc07227ce

Observation 66f2dd06-03d4-444b-bc90-2f404f233ae7 · outbound

This paper cites Role of natural language processing in automatic detection of unexpected findings in radiology reports: a comparative study of RoBERTa, CNN, and ChatGPT,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Role of natural language processing in automatic detection of unexpected findings in radiology reports: a comparative study of RoBERTa, CNN, and ChatGPT,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.532324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.105421Z digest=sha256:3b3fb9bc7131a8525b5fddb395403ef52f48132c3a9beed97572c048b25d6111

Observation f0fba25e-462e-45d4-8c72-c50de1f38c11 · outbound

This paper cites A cross attention approach to diagnostic explainability using clinical practice guidelines for depression,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating A cross attention approach to diagnostic explainability using clinical practice guidelines for depression,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.519746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.111489Z digest=sha256:647029ac6e6f682c613a1245e7166780a16c18f09f77d91ffc2045a7a96e2b6a

Observation 27257ba0-8172-4b92-95ea-26d3696ca279 · outbound

This paper cites Automatic Medical Report Generation Based on Detector Attention Module and GPT-Based Word LSTM,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Automatic Medical Report Generation Based on Detector Attention Module and GPT-Based Word LSTM,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.508700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.141019Z digest=sha256:27b9ae11a4d0c7265f06736069fec7e814ebbc3d5ba8181a3576dac48c218538

Observation 06714b24-e5ec-4302-9de8-97887144429f · outbound

This paper cites Grammatical versus Spelling Error Correction: An Investigation into the Responsiveness of Transformer-Based Language Models Using BART and MarianMT,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Grammatical versus Spelling Error Correction: An Investigation into the Responsiveness of Transformer-Based Language Models Using BART and MarianMT,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.497853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.198282Z digest=sha256:17c413a4ce9d0ebab93af696e97a317cda838154c1b7bf1f2491233c57bf2afd

Observation 68f280ea-067c-45fc-9c6f-7a8910435fda · outbound

This paper cites Comparative Analysis of Neural Translation Models based on Transformers Architecture.,.

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating Comparative Analysis of Neural Translation Models based on Transformers Architecture.,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:44:07.485279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T11:44:07.232715Z digest=sha256:f3b8f9c7238b2d28659e422f960171ce238655066c48e2b07b89bc407594309a

Pith citing papers

Observation 777a63a6-3a60-4b62-b91b-9fda909b12ac · inbound

CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generation cites this paper.

CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generation An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:35:52.395100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T04:33:43.179368Z digest=sha256:9e8649d1b6ba177ac4f5d6a0741b39a2d140fbcef8a21c52681a05af6dcfeb42