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Paper Citation Record · LEDGER

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.19398.

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

pith.paper-citation-record.v1
2507.19398 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:24:51.331392Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

32 of 32 outbound references displayed

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  • verified fuzzy4
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58abab11-0857-461e-9e4d-00338c8f5f07 · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays MAIRA-2: Grounded Radiology Report Generation

Reference 1

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Observation f34ed9f4-0ae1-43be-a49d-b8532f536c7e · outbound

This paper cites an unresolved cited work.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 33d58398-a00d-429f-bd84-c9b81ba23c52 · outbound

This paper cites PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification

Reference 3

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verified exact
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Observation abec85c8-084e-4f0c-a25e-711c1f9cdd02 · outbound

This paper cites In: 34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24,.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays In: 34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24,

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 2026-08-06T06:34:29.942622+00:00.

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Observation f01c0b9d-e0a3-4444-9b54-cd8f6937a9e1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b8194ee-2baf-41cd-b60c-ee3966a42817 · outbound

This paper cites In: proceedings of Medical Image ComputingandComputerAssistedIntervention–MICCAI2024.vol.LNCS15012.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays In: proceedings of Medical Image ComputingandComputerAssistedIntervention–MICCAI2024.vol.LNCS15012

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 34891314-6771-4289-a0b8-f55ca2f2e1fb · outbound

This paper cites Nature Biomedical Engi- neering pp.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Nature Biomedical Engi- neering pp

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92d71311-6bdb-4f98-b8f3-a02d20e05c8d · outbound

This paper cites In: 2021 3rd International Conference on Signal Processing and Communication(ICPSC).pp.54–58(2021).https://doi.org/10.1109/ICSPC51351.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays In: 2021 3rd International Conference on Signal Processing and Communication(ICPSC).pp.54–58(2021).https://doi.org/10.1109/ICSPC51351

Reference 8

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Source-reported events for the cited work

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Observation e54346fe-562d-44b0-8c99-a0b5a618ef35 · outbound

This paper cites an unresolved cited work.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Unresolved cited work

Reference 9

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verified exact
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Source-reported events for the cited work

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Observation 781f8786-4e06-4c3d-847d-5937fa149e79 · outbound

This paper cites CLIP in Medical Imaging: A Survey.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays CLIP in Medical Imaging: A Survey

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a255a65-093b-4896-8bd7-701b984e4b50 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee43772f-dbb7-41bc-b78a-0aa08f9fd975 · outbound

This paper cites Communications for Statistical Applications and Methods 21 (03 2014).

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Communications for Statistical Applications and Methods 21 (03 2014)

Reference 12

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 0716bd4d-c578-4f41-aad9-28331edf0155 · outbound

This paper cites The value at the mode in multivariate $t$ distributions: a curiosity or not?.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays The value at the mode in multivariate $t$ distributions: a curiosity or not?

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 130adf59-3548-4bce-8a66-30b5bdcf8d1c · outbound

This paper cites Empirical Economics 58, 1461–1490 (2020).

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Empirical Economics 58, 1461–1490 (2020)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7b25ac75-be74-4bb3-b7eb-5677259ed47e · outbound

This paper cites IEEE TMI (2023), https://www.researchgate.net/publication/374348635_ CXR-CLIP_Toward_Large_Scale_Chest_X-ray_Language-Image_ Pre-training 2 10 R.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays IEEE TMI (2023), https://www.researchgate.net/publication/374348635_ CXR-CLIP_Toward_Large_Scale_Chest_X-ray_Language-Image_ Pre-training 2 10 R

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 17e021de-b825-49c5-9995-74a2ca43022d · outbound

This paper cites Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3d51cdbc-cacf-482e-9d25-a439e1f36727 · outbound

This paper cites SLIP: Self-supervision meets Language-Image Pre-training.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays SLIP: Self-supervision meets Language-Image Pre-training

Reference 17

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Source-reported events for the cited work

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Observation 612c5c5f-c713-4667-8593-ae4d3c07d513 · outbound

This paper cites A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 597df181-6324-4345-8f27-d7cb9d9831e2 · outbound

This paper cites Nature Communications 13, 3848 (2022).

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Nature Communications 13, 3848 (2022)

Reference 19

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Observation 28b63d1b-2fe2-4bd1-b167-61d96054405c · outbound

This paper cites Statistics and Computing10(4), 339–348 (2000) 3.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Statistics and Computing10(4), 339–348 (2000) 3

Reference 20

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Observation b2b7fe59-3c14-4c30-8ed4-7c8f5c49fb8a · outbound

This paper cites https://doi.org/10.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays https://doi.org/10

Reference 21

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Source-reported events for the cited work

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Observation 4b059704-f3d5-4391-bdb1-9a3a3aef2df0 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Learning Transferable Visual Models From Natural Language Supervision

Reference 23

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Observation ba610698-d4fc-4acf-8499-e6bdba964571 · outbound

This paper cites Multi-Modal Adapter for Vision-Language Models.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Multi-Modal Adapter for Vision-Language Models

Reference 24

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Observation 4b734f5e-2ed3-4c34-8ef6-32193a903d99 · outbound

This paper cites In: WACV.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays In: WACV

Reference 25

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CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Unresolved cited work

Reference 26

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verified exact
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Source-reported events for the cited work

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CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Unresolved cited work

Reference 27

Resolution
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Observation 079a9944-110e-4925-81dc-26738e83b7df · outbound

This paper cites Journal of Medical Internet Research (2023), https://hai.stanford.edu/news/ ai-researchers-tap-medical-twitter-create-powerful-new-analysis-tool 2.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Journal of Medical Internet Research (2023), https://hai.stanford.edu/news/ ai-researchers-tap-medical-twitter-create-powerful-new-analysis-tool 2

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c1066d2e-b742-4b87-a340-b1e378be4276 · outbound

This paper cites MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f521fed0-0a36-46ab-9532-131cedd1015f · outbound

This paper cites In: Greenspan, H.e.a.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays In: Greenspan, H.e.a

Reference 31

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Source-reported events for the cited work

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Observation c1d0a6ec-ea17-46c3-b438-508a707bac14 · outbound

This paper cites Nature Communications 14, 4542 (2023).

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Nature Communications 14, 4542 (2023)

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7543c27e-14dd-4920-87b1-ab34fb74de97 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3b99e3b8-fa9a-4a64-bba6-cd71281cbfcd · outbound

This paper cites an unresolved cited work.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Unresolved cited work

Reference 2023

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unresolved
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.