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Paper Citation Record · LEDGER

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2502.03591.

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

pith.paper-citation-record.v1
2502.03591 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:29:27.840350Z

measured 38 of 38 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 2026-07-11T18:52:39.998489Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact12
  • verified fuzzy14
  • unresolved9
  • parse uncertain0
  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c2ad21b-4470-448b-93b6-690480ce7a79 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 1

Resolution
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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 95accac1-8a05-47fe-8255-56e66de415b4 · outbound

This paper cites BCE measures the difference between the predicted probabilities ypred and the true binary labels ytrue for each label.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function BCE measures the difference between the predicted probabilities ypred and the true binary labels ytrue for each label

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 2026-08-10T06:31:04.303077+00:00.

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Observation bd0b7939-e573-433a-8715-15923b8effeb · outbound

This paper cites Fluid Accumulation.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Fluid Accumulation

Reference 3

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Source-reported events for the cited work

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Observation 40230410-8db8-4b0f-9995-0a3b2223d79b · outbound

This paper cites Uncertain.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Uncertain

Reference 4

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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 55777caa-b5d3-4a3f-9576-dcd4ff8f65df · outbound

This paper cites Causes of Death,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Causes of Death,

Reference 5

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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 074f9eb4-d6f5-4535-aa83-1462bf463eb9 · outbound

This paper cites Work overload and diagnostic errors in radiol- ogy,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Work overload and diagnostic errors in radiol- ogy,

Reference 6

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 4de4faac-b322-4842-bbe6-9238182dd2ae · outbound

This paper cites Workload for radiologists during on- call hours: dramatic increase in the past 15 years,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Workload for radiologists during on- call hours: dramatic increase in the past 15 years,

Reference 7

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 8be527a8-2b55-494e-ab05-a60b4d074ee9 · outbound

This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation f28bcc78-1e26-4b23-b68a-080062ccf657 · outbound

This paper cites VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels

Reference 9

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 602a459a-3d98-43b8-85dc-1f6cf6f3902f · outbound

This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06b81ee7-625f-469f-a58e-64726e8b4112 · outbound

This paper cites Weinberger.Densely connected convolutional networks.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Weinberger.Densely connected convolutional networks

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e0b00e51-f026-4e3b-bed5-52f2bb9c1145 · outbound

This paper cites Grad-CAM: Visual explanations from deep networks via gradient-based localization,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Grad-CAM: Visual explanations from deep networks via gradient-based localization,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0c79e40-7568-4be1-bb36-062123ba22fe · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 13

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malformed identifier
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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=2026-08-09T04:29:27.753287Z digest=sha256:c4afd89bfefea11f199858a6c7a8e9cbcc751cfefd7ac2d3f316e359a95eabdb

Observation f0d74ced-446b-4c0f-8362-ca7b9e5afe22 · outbound

This paper cites Zhang, W.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Zhang, W

Reference 14

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verified exact
arxiv_id_nonexistent, observed 2026-08-09T04:29:29.193964Z

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 dae2426a-f0fd-492a-93c9-68076728d85d · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 15

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 99bea24d-b02b-403b-81a5-8b04617fe690 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 2833d541-e802-422e-9456-8860e9a97ee6 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 17

Resolution
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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 53b5a362-e1bc-460a-b9ff-761b9420837c · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 18

Resolution
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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 9233f0d9-8eea-4782-864a-c75fb2f62e28 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 19

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unresolved
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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 3845f044-ddce-4bad-baaf-10903a36f9ea · outbound

This paper cites Huang, Q.-J.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Huang, Q.-J

Reference 20

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 5468a68a-3308-4e19-aba1-72723249d555 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

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Observation f5808bc9-225e-4061-801e-aabdae25e846 · outbound

This paper cites Hierarchical Multi-Label Classification Networks,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Hierarchical Multi-Label Classification Networks,

Reference 22

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 5a0372a5-b3c4-419f-bc6a-c6286aced929 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation 7c26e017-fc8a-4d9b-b558-80335417d19e · outbound

This paper cites A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81d9da42-27b2-420a-b831-56c648775202 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f72e747b-ea9d-4c45-acc3-fa0cfb7bb2a8 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 26

Resolution
unresolved
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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 f4a71eef-1d24-40f5-8546-d81e08f916ea · outbound

This paper cites Bustos, A.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Bustos, A

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation d0d0f380-8cd7-4227-8ce5-186ed017dcbf · outbound

This paper cites Transfusion: Understanding transfer learning for medical imaging,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Transfusion: Understanding transfer learning for medical imaging,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 9c6bd9d5-3447-43bf-85a1-9ef101ecee76 · outbound

This paper cites Pulmonary Edema,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Pulmonary Edema,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 27d4b404-20ca-49ff-a332-d1c6b0eaa5c0 · outbound

This paper cites AI lifts nonradiologists’ x-ray interpre- tation skill levels,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function AI lifts nonradiologists’ x-ray interpre- tation skill levels,

Reference 30

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 82cce64b-1da1-4e2a-a431-3d9b64005673 · outbound

This paper cites From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention

Reference 31

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 24a5346b-62e6-4f2d-a97d-5d91313e2fb2 · outbound

This paper cites Pleural Effusion: Symptoms, Causes, Treatments,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Pleural Effusion: Symptoms, Causes, Treatments,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 53a16d2e-304a-4a16-b7c7-0f30e4367428 · outbound

This paper cites Pneumonia,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Pneumonia,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:29:29.429812Z

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 93a7f037-291e-4bae-ae4d-bf93c2aa6ffb · outbound

This paper cites Consolidation,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Consolidation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:29:29.407331Z

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=2026-08-09T04:29:27.833425Z digest=sha256:6064e2012fd317902d7e85b8dfc72c9c71a52da7a35890a2517d0e376f44de85

Observation 7661a2dd-40d5-4879-b520-07d227f368e3 · outbound

This paper cites Chest X-Ray - Lung Disease,.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Chest X-Ray - Lung Disease,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:29:29.396793Z

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=2026-08-09T04:29:27.836755Z digest=sha256:880f73a294c158af78ddd4f4f851b3c06ca8826b93cc0f4a61586d869b5a3829

Observation 90dff56f-4d33-43ab-b82a-fb87f0ab8a97 · outbound

This paper cites Available: https://radiologyassistant.nl/ chest/chest-x-ray/lung-disease.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Available: https://radiologyassistant.nl/ chest/chest-x-ray/lung-disease

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:29:29.385162Z

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=2026-08-09T04:29:27.840350Z digest=sha256:5c8c9c190269a29d4d20d284e00dd5ea71360f415a75b8bd7ec0285a3c4362d6

Observation 7a9fcafe-1506-4d98-8742-2a6156580af7 · outbound

This paper cites an unresolved cited work.

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function Unresolved cited work

Reference 2106

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T04:29:28.451283Z

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=2026-08-09T04:29:27.776655Z digest=sha256:8938cc5ad8949f6734e0471f594f48fdcb41a8afa301c3360cf8ee3981807757

Pith citing papers

Observation 2df6a647-ce83-49cd-91bd-93d3b8006d1a · inbound

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification cites this paper.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T18:52:39.998489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T18:52:39.998489Z digest=sha256:2babb5ae23bf5bc234ac8477e7c96a59085ea372b863517d5749f0dcd42064d1