Paper Citation Record · LEDGER

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System

As of 24 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2506.01961.

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

pith.paper-citation-record.v1
2506.01961 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:35.799960Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact7
verified fuzzy1
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8e6da68-b5be-4d8f-948f-8a7c0703f350 · outbound

This paper cites Medical Named Entity Recognition in Arabic Text using SVM.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Medical Named Entity Recognition in Arabic Text using SVM

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:35.762886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284a2185-5c65-4f48-9fe6-8cd77b4a2af7 · outbound

This paper cites Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T23:21:35.916102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67188efb-8bd9-4e56-b281-7f9d3fd54b63 · outbound

This paper cites an unresolved cited work.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-15T23:21:35.904960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79a0c1a4-0404-40d0-b09b-6c58bc5170d4 · outbound

This paper cites Named Entity Recognition of Medical Text Based on the Deep Neural Network.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Named Entity Recognition of Medical Text Based on the Deep Neural Network

Reference 4

Resolution: verified exact; doi, observed 2026-08-15T23:21:35.893589Z

Source-reported events for the cited work

retraction dated 2023-10-11. Source: crossref record 10.1155/2023/9805297->10.1155/2022/3990563:retraction, observed 2026-07-11T02:52:14.161879+00:00. This notice travels one citation hop only.

retraction . Source: retraction watch record 61922, observed 2026-07-08T21:54:04.522049+00:00. This notice travels one citation hop only.

Observation 476034ce-a51b-4fef-96c5-950c8d5d29ec · outbound

This paper cites Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:35.781679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69bba25a-065c-4b02-981e-2adbaaeb07a6 · outbound

This paper cites W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:21:35.881809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28a8afce-fc64-45fd-8978-f29798694e6a · outbound

This paper cites MRC-Based Medical NER with Multi-task Learning and Multi-strategies.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System MRC-Based Medical NER with Multi-task Learning and Multi-strategies

Reference 8

Resolution: verified exact; doi, observed 2026-08-15T23:21:35.847672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97996eb1-51cc-4450-9cdd-9de03eb1edc7 · outbound

This paper cites Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T23:21:35.834545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a083928-64ac-44c7-8a29-48887e94a29e · outbound

This paper cites A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:21:36.106689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ab7fe34-c7fe-4d49-881b-fc45be04dd24 · outbound

This paper cites Meta-Learning of NAS for Few-shot Learning in Medical Image Applications.

Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System Meta-Learning of NAS for Few-shot Learning in Medical Image Applications

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:21:35.864604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.