Paper Citation Record · LEDGER

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2604.16034.

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

pith.paper-citation-record.v1
2604.16034 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:11:35.916624Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf4ee4fd-4cf4-4f4c-89b0-5a1ed459c6b8 · outbound

This paper cites Despite similar treatments, substantial variability in outcomes remains among patients.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Despite similar treatments, substantial variability in outcomes remains among patients

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.618558Z

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 e6813585-8155-4397-bcfd-983ad07333ff · outbound

This paper cites Dataset The latest HECKTOR 2025 training dataset (https://hecktor25.grand-challenge.org/dataset/) was used to develop HNC outcome prediction models.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Dataset The latest HECKTOR 2025 training dataset (https://hecktor25.grand-challenge.org/dataset/) was used to develop HNC outcome prediction models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.625024Z

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 4b13022f-4d03-4c84-96a7-eecd338e34da · outbound

This paper cites an unresolved cited work.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Unresolved cited work

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-05-20T17:53:49.622801Z

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 779efa2c-a431-4536-b7ac-c1b9d6531080 · outbound

This paper cites The large standard deviations of rankings in Tab.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction The large standard deviations of rankings in Tab

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.613652Z

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 ac0b0965-5c31-493e-8089-451c63dfefda · outbound

This paper cites Integrated Gradients and D eep LIFT produced the most faithful and plausible explanations.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Integrated Gradients and D eep LIFT produced the most faithful and plausible explanations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.620776Z

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 562003e5-49b5-443c-bb58-3d3ad5b857f1 · outbound

This paper cites Ethical approval was not required as confirmed by the license attached with the open access data.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Ethical approval was not required as confirmed by the license attached with the open access data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.616207Z

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 73627a08-d362-4a2f-ab85-3a8cef661a66 · outbound

This paper cites The authors have no relevant financial or non -financial interests to disclose.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction The authors have no relevant financial or non -financial interests to disclose

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.608748Z

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 bc695cb9-89e1-49c6-bf4b-f44c4b17e609 · outbound

This paper cites and Laversanne, Mathieu and Soerjomataram, Isabelle and Jemal, Ahmedin and Bray, Freddie , title =.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction and Laversanne, Mathieu and Soerjomataram, Isabelle and Jemal, Ahmedin and Bray, Freddie , title =

Reference 8

Resolution: metadata mismatch; doi, observed 2026-05-10T09:13:28.551372Z

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 be05c34b-4b23-486c-a87a-b9203ce5bbd5 · outbound

This paper cites Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.596680Z

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 c7f0d1f2-f8e5-4a28-98b5-cc6e580713f9 · outbound

This paper cites Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.605402Z

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 ff855ac8-1ff7-4b00-97aa-5331fcf73268 · outbound

This paper cites TransRP: Transformer -based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction TransRP: Transformer -based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.598760Z

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 9cdda874-10e8-4711-ae47-014d8a9f343d · outbound

This paper cites PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.600837Z

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 fee6aca1-716b-450f-8dae-bb45973c3b95 · outbound

This paper cites Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:29.535359Z

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 f24af326-0657-4f37-9ed6-05dfb266417d · outbound

This paper cites PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.611032Z

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 d166c29c-1771-4f44-bbf5-f91383c69204 · outbound

This paper cites Navigating the maze of explainable ai: A systematic approach to evaluating methods and metrics.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Navigating the maze of explainable ai: A systematic approach to evaluating methods and metrics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.594230Z

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 d83d3c80-fb59-4a0a-b27b-29a1c63cbfe9 · outbound

This paper cites Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger

Reference 16

Resolution: metadata mismatch; doi, observed 2026-05-10T09:13:28.546025Z

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 fb317cc6-997e-460d-8572-2d9618a37014 · outbound

This paper cites Guidelines and evaluation of clinical explainable AI in medical image analysis.

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction Guidelines and evaluation of clinical explainable AI in medical image analysis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T17:53:49.603173Z

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.