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Paper Citation Record · LEDGER

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.12707.

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

pith.paper-citation-record.v1
2411.12707 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:18:04.312243Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

23 of 23 outbound references displayed

  • verified exact4
  • verified fuzzy5
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd84bc7d-4c34-48f6-81fc-9f9cfbbf34e7 · outbound

This paper cites Khandoker, Herbert F.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Khandoker, Herbert F

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26d9846a-3ff5-474f-9bf3-b2dc4e5fb29b · outbound

This paper cites Revolutionizing healthcare: the role of artificial intelligence in clinical practice.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Revolutionizing healthcare: the role of artificial intelligence in clinical practice

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5c10ba6f-59ff-495d-abec-8570c756ea7d · outbound

This paper cites Reading Race: AI Recognises Patient's Racial Identity In Medical Images.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Reference 3

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Source-reported events for the cited work

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Observation debf69d9-1ce4-4b2e-bac9-b53f40b9d5dc · outbound

This paper cites The matthews correlation coefficient (mcc) should replace the roc auc as the standard metric for assessing binary classification.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data The matthews correlation coefficient (mcc) should replace the roc auc as the standard metric for assessing binary classification

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e1bfceac-f376-4912-b33d-7aef570052b2 · outbound

This paper cites Coburn, Keith T.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Coburn, Keith T

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 959c144a-21a9-4f11-9183-a412ab8e4fa9 · outbound

This paper cites Towards efficient image-based representation of tabular data.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Towards efficient image-based representation of tabular data

Reference 6

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verified exact
doi, observed 2026-08-12T17:18:04.400757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a737227f-2af5-4b2e-8973-a149657cdbe1 · outbound

This paper cites Ai for radiographic covid-19 detection selects shortcuts over signal.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Ai for radiographic covid-19 detection selects shortcuts over signal

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4d6b63d2-787f-4922-b0bd-a05510b827a7 · outbound

This paper cites Papież, and Adam Mahdi.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Papież, and Adam Mahdi

Reference 8

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verified exact
doi, observed 2026-08-12T17:18:04.389699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 435092da-28a6-4532-9734-c9496d12a708 · outbound

This paper cites Algorithmic encoding of protected characteristics in chest X -ray disease detection models.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Algorithmic encoding of protected characteristics in chest X -ray disease detection models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ada67af6-402c-4bb3-8cdc-ff40613bbf96 · outbound

This paper cites Menten, and Daniel Rueckert.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Menten, and Daniel Rueckert

Reference 10

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no resolver link, observed 2026-08-12T17:18:04.264325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b69419d-7425-420d-85eb-0d2c36be3264 · outbound

This paper cites Partridge, Habib Rahbar, Debosmita Biswas, Christoph I.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Partridge, Habib Rahbar, Debosmita Biswas, Christoph I

Reference 11

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no resolver link, observed 2026-08-12T17:18:04.267629Z

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Observation 18e02c6e-8f36-4670-bb9e-075c987edadf · outbound

This paper cites Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma

Reference 12

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verified exact
doi, observed 2026-08-12T17:18:04.379329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d2e319fd-2ff4-494e-bde3-d67b544e0e61 · outbound

This paper cites Mong, Safwan S.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Mong, Safwan S

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 628cc373-2c31-4374-99f1-fa6ffb2db740 · outbound

This paper cites MIMIC - IV , a.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data MIMIC - IV , a

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 12b892e8-3dfb-476c-b851-5d5742d074a6 · outbound

This paper cites MIMIC - CXR - JPG - chest radiographs with structured labels, b.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data MIMIC - CXR - JPG - chest radiographs with structured labels, b

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-12T17:18:04.721753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 40725849-3ec1-4a89-85ba-f5dfa24ef7d0 · outbound

This paper cites Key challenges for delivering clinical impact with artificial intelligence.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Key challenges for delivering clinical impact with artificial intelligence

Reference 16

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Observation 6679f868-5798-4e4c-a0b3-d567cd20a0c5 · outbound

This paper cites Yan, Durgesh Chaudhary, Venkatesh Avula, Satish Mudiganti, Hannah Husby, Shima Shahjouei, Ardavan Afshar, Walter F.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Yan, Durgesh Chaudhary, Venkatesh Avula, Satish Mudiganti, Hannah Husby, Shima Shahjouei, Ardavan Afshar, Walter F

Reference 17

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Unavailable: canonical work link unavailable.

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Observation c22377ee-68a5-43c5-9ac9-86caebee5b64 · outbound

This paper cites A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks

Reference 18

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Observation 9a2d0171-6978-4906-826c-a787047d30c6 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 19

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Observation 534be826-0cec-41d0-83f5-1ff8b9d4b20e · outbound

This paper cites Axiomatic attribution for deep networks.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Axiomatic attribution for deep networks

Reference 20

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Unavailable: canonical work link unavailable.

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Observation e7d2b64b-d6a3-42ab-b14f-a983af021806 · outbound

This paper cites Sanity Checks for Saliency Metrics.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Sanity Checks for Saliency Metrics

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 6cbddf65-0117-4320-8f64-7cd2cc803116 · outbound

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Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Unresolved cited work

Reference 22

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a769e310-6922-430f-9fb1-804b8b0b0dcc · outbound

This paper cites Evrard, James H.

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data Evrard, James H

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.