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Paper Citation Record · LEDGER

PRISM: A Transformer-based Language Model of Structured Clinical Event Data

As of 20 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2506.11082.

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

pith.paper-citation-record.v1
2506.11082 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:00:00.565731Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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 exact1
  • verified fuzzy7
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7322cab6-f82d-4d01-8c04-24d51afccae7 · outbound

This paper cites Transforming Disease Prediction with LotusAI-Predict: A Fine-Tuned LLaMA Model.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Transforming Disease Prediction with LotusAI-Predict: A Fine-Tuned LLaMA Model

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.788843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.520400Z digest=sha256:1a515d1b3f1b6d7e63a984e4f5fac5e6e04e2f83028965c6dee84af2fb93d097

Observation 0f10dda1-f3f1-4578-a5b6-c70b722b0904 · outbound

This paper cites A Transformer-Based Model for Zero- Shot Health Trajectory Prediction.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data A Transformer-Based Model for Zero- Shot Health Trajectory Prediction

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.774249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.525786Z digest=sha256:6d3088ed05e7bf8a30aca8586cbc5afc07820a71f51b9614a99d71bfbc69b4e7

Observation b98e198f-db1e-46ba-af7c-7ba731dc3bf3 · outbound

This paper cites Automatic Differential Diagnosis using Transformer-Based Multi-Label Sequence Classification.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Automatic Differential Diagnosis using Transformer-Based Multi-Label Sequence Classification

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:00:00.682244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.530524Z digest=sha256:cc0e63ca2c8e4368e7243132cd8430bea6bda3343e0a549424cc8f49def1d781

Observation 346bb7a0-be1d-4aef-9d83-cbc48ef14a9f · outbound

This paper cites Sequential Diagnosis Prediction with Transformer and Ontological Representation.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Sequential Diagnosis Prediction with Transformer and Ontological Representation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.758157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.535647Z digest=sha256:8d9238bc34af23b7516fc07e1273113c34869fef48fbfa13c8236a6386d5589b

Observation 7abc5681-ad84-4305-b547-207d7d1e7553 · outbound

This paper cites Transformer-Based Deep Learning Model for the Diagnosis of Lung Cancer in Primary Care.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Transformer-Based Deep Learning Model for the Diagnosis of Lung Cancer in Primary Care

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.743127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.541245Z digest=sha256:1941ccef00e23ce7d2e6e7d51520b15d6bab31d4fb7ac58ba11a4f9f7aa82dbe

Observation eb66c491-3d0d-4155-9b3c-bba882877b5b · outbound

This paper cites Variational probabilistic inference and the QMR-DT network.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Variational probabilistic inference and the QMR-DT network

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.727954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.546609Z digest=sha256:4ed7d58d56d1cbe5d58d0c43958e30a6656c176d00aa1fb5230cb3bc5f185d46

Observation a85db647-330a-40fd-aea2-4a6b9df7dae9 · outbound

This paper cites MIMIC-IV, a freely ac- cessible electronic health record dataset.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data MIMIC-IV, a freely ac- cessible electronic health record dataset

Reference 7

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:00:00.551684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:00.551684Z digest=sha256:a0fefcdd06f1a039779f67454305ad1bd479e5299825271a8ef7fca23351e050

Observation dee0cbe5-2c0a-448b-8875-92a0696cf0c1 · outbound

This paper cites Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems

Reference 8

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:00:00.556590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:00.556590Z digest=sha256:4f24e920b090515fa2469dca13e06e7681741ccb8819f440e49ed3a432b18d4d

Observation b7544a62-71eb-4bc3-80ce-da932a2c782d · outbound

This paper cites Empirical evalua- tion of performance degradation of machine learning- based predictive models–A case study in healthcare information systems.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Empirical evalua- tion of performance degradation of machine learning- based predictive models–A case study in healthcare information systems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.712757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.561092Z digest=sha256:deeca352849278f6a72ef5a039bbe73b2ec40e8aed179b53f5a264ea8e73c8cb

Observation 5de7a605-2e73-4763-9775-2937ad51f678 · outbound

This paper cites Diag- nostic Prediction with Sequence-of-Sets Representation Learning for Clinical Events.

PRISM: A Transformer-based Language Model of Structured Clinical Event Data Diag- nostic Prediction with Sequence-of-Sets Representation Learning for Clinical Events

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:00:00.697143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:00:00.565731Z digest=sha256:fd214d57c5baad2995c938569377d62f612d43e16d3b3cabcd81c7102d61aa15

Pith citing papers

No inbound Pith citation observations are available.