Paper Citation Record · LEDGER

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.26276.

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

pith.paper-citation-record.v1
2607.26276 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:19:11.350278Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

verified exact10
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52ae06e7-269c-4011-91f1-5c0518b12948 · outbound

This paper cites and Burtness, Barbara and Leemans, C.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Burtness, Barbara and Leemans, C

Reference 1

Resolution: verified exact; doi, observed 2026-08-01T00:21:43.034665Z

Source-reported events for the cited work

correction dated 2023-01-19. Source: crossref record 10.1038/s41572-023-00418-5->10.1038/s41572-020-00224-3:correction, observed 2026-07-11T03:06:51.104102+00:00. This notice travels one citation hop only.

Observation 7bcc0fac-1170-49f2-a29f-4b091a57ecb3 · outbound

This paper cites and Airoldi, M.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Airoldi, M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.276646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c7ce55-1016-4c83-a1fc-d8c110bef4d2 · outbound

This paper cites Artificial Intelligence Review , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Artificial Intelligence Review , volume =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.280100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc3ab54-8218-4138-8ec1-1d10e3fa3557 · outbound

This paper cites an unresolved cited work.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.282718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c336dad-95c0-4482-9782-857a4a3e5cce · outbound

This paper cites and Chang, Peter and Khatri, Deepak and Boockvar, John A.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Chang, Peter and Khatri, Deepak and Boockvar, John A

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T00:21:42.826184Z

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.

Observation 97570442-0028-4145-874b-a8efd812f396 · outbound

This paper cites an unresolved cited work.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T00:21:42.646022Z

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.

Observation c9cd937c-36fa-435f-867e-8d9848e59346 · outbound

This paper cites Scientific Reports , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Scientific Reports , volume =

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T00:21:42.433534Z

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.

Observation 700e73bd-09d3-4376-830b-434d3593495a · outbound

This paper cites and Wang, K.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Wang, K

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.294388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bb6cef-111d-4dfe-bb80-f04c2d735368 · outbound

This paper cites and Shiri, I.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Shiri, I

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T00:21:42.169088Z

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.

Observation 61b49e83-b752-43ab-acff-4b0fea5083a7 · outbound

This paper cites Medical Image Analysis , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Medical Image Analysis , volume =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.299067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da64b14-2b68-41dc-84da-58ed265569ec · outbound

This paper cites Advancing Multimodal Medical Capabilities of Gemini.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Advancing Multimodal Medical Capabilities of Gemini

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.301739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76385bc-25e8-445c-95f3-44c529a2f10f · outbound

This paper cites Vision Foundation Models for Computed Tomography.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Vision Foundation Models for Computed Tomography

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.304393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca25592-6f6e-41b7-8245-7df1bdd7b89c · outbound

This paper cites and Bernatz, Simon and Hosny, Ahmed and Mak, Raymond H.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Bernatz, Simon and Hosny, Ahmed and Mak, Raymond H

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.307124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b70730-f485-445a-b5e2-92edbad9299c · outbound

This paper cites and Leem, S.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Leem, S

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.309349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a98910b0-274e-4e63-8e13-e8644547762d · outbound

This paper cites 2024 , type =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer 2024 , type =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.311603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4232f8e4-d3e7-4701-991b-1de7813fa305 · outbound

This paper cites Journal of Digital Imaging , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Journal of Digital Imaging , volume =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.313726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca17d8fb-196c-472c-9bbd-fed4b12bfb7f · outbound

This paper cites and Kim, Sejin and Hope, Andrew J.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Kim, Sejin and Hope, Andrew J

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.316255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7beb1223-82ab-4178-9c2f-b31d7b77937f · outbound

This paper cites an unresolved cited work.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.318443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6382a39-49a2-47c5-9366-4ffc0b726b70 · outbound

This paper cites an unresolved cited work.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-01T00:21:41.867152Z

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.

Observation 94d41adb-e9ca-48fc-b3d2-0affd0074057 · outbound

This paper cites and Zhang, L.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Zhang, L

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.323406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e999138-5836-4255-acc4-b80e281326e5 · outbound

This paper cites Physics in Medicine & Biology , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Physics in Medicine & Biology , volume =

Reference 21

Resolution: verified exact; doi, observed 2026-08-01T00:21:41.689832Z

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.

Observation 38f7f088-2554-4fa7-a219-722f8affe76b · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.327852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab5f7bd-158c-431a-91f6-1bba235a2dc6 · outbound

This paper cites 2019 , type =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer 2019 , type =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.330644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4597c074-d8a2-4fe9-b889-90de7c684152 · outbound

This paper cites an unresolved cited work.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.333264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad1d7d30-64ed-409c-9b33-b9d14906a584 · outbound

This paper cites and Banerjee, A.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Banerjee, A

Reference 25

Resolution: verified exact; doi, observed 2026-08-01T00:21:41.510577Z

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.

Observation a5cbd1cd-ff61-4b26-95ce-f0f945ebae28 · outbound

This paper cites and Lo, Joseph Y.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Lo, Joseph Y

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.338061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7608d2f3-9ea1-453b-a108-1f8bf28594a6 · outbound

This paper cites BMC Medical Imaging , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer BMC Medical Imaging , volume =

Reference 27

Resolution: verified exact; doi, observed 2026-08-01T00:21:41.304421Z

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.

Observation 9b2f64dd-186f-4b8f-af58-dfff909b5585 · outbound

This paper cites European Radiology , volume =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer European Radiology , volume =

Reference 28

Resolution: verified exact; doi, observed 2026-08-01T00:21:41.039296Z

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.

Observation 54f7a89c-9da6-41c5-b1af-abf09e4dd87d · outbound

This paper cites 2024 , type =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer 2024 , type =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.345784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e1347f-98e5-4f56-ab09-3bb2ccc10980 · outbound

This paper cites , title =.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer , title =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.348028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43db405-afd7-46f2-a852-06638c618aca · outbound

This paper cites and Peng, H.

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer and Peng, H

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T00:19:11.350278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.