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Paper Citation Record · LEDGER

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2604.24597.

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

pith.paper-citation-record.v1
2604.24597 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:56:20.905929Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy27
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e62f4ae-6691-4584-8e7b-8c102d7f25ac · outbound

This paper cites C´ orcoles, Kristan Temme, Aram W.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings C´ orcoles, Kristan Temme, Aram W

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7c677518-2052-41e7-a288-6a23a8fb3ca7 · outbound

This paper cites Schuld and N.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Schuld and N

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:c9bed6e84c4c640315e3141e0c229ccdcd4d12dc6446c3f29cf9c6b8eaca40bc

Observation 46a34943-6815-40d4-b55d-7579b331d9a4 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7f7dabe6-6324-4002-9dc7-393e420cd082 · outbound

This paper cites A rigorous and robust quantum speed-up in supervised machine learning.Nature Physics, 17(9):1013– 1017.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings A rigorous and robust quantum speed-up in supervised machine learning.Nature Physics, 17(9):1013– 1017

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ace425e8-7ddb-4e3c-8406-e643e624255a · outbound

This paper cites Jerbi, L.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Jerbi, L

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d28b97c3-3ae9-4a50-b20b-a51752816095 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 6

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arxiv_id, observed 2026-05-11T21:51:33.705793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 859a9c12-52e7-455b-853c-c55f30bed100 · outbound

This paper cites Embedding aware quantum classical svms for scalable quantum machine learning.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Embedding aware quantum classical svms for scalable quantum machine learning

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:ec955b424336176998b02af24699515c4618a0392e192e60bca646cb94869f51

Observation 90dee6db-9353-4f7d-8668-0d95ddaaa6c3 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:a1a989590c4d55fccc9474c965798e242a2001224f009670ea17c519338ac72e

Observation 6311c037-4373-4339-9fe8-0a611a821fa8 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 9

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raw_fallback, observed 2026-05-26T21:28:22.994944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:ba85b2e90b12a1294103ac96b098f151cff44dd849c3e10af8c659b8ab0e60b8

Observation d486ec94-dbe4-41a7-b62b-9e3fbd2d15a9 · outbound

This paper cites Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghas- semi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghas- semi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P

Reference 10

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raw_fallback, observed 2026-05-26T21:28:23.002114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:925bb3515db9e40184249935799babe40bb529c36b40b4e56e1bff58ce8677bd

Observation 18cdea81-5e60-4a97-b0bb-732b1a2d2eb1 · outbound

This paper cites Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

Reference 11

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local_arxiv, observed 2026-05-11T21:51:33.693340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7b549af7-1dc9-4fd4-8c27-b5ffadec6888 · outbound

This paper cites A causal perspective on dataset bias in machine learning for medical imaging.Nature Machine Intelligence, 6(2):138– 146.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings A causal perspective on dataset bias in machine learning for medical imaging.Nature Machine Intelligence, 6(2):138– 146

Reference 12

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raw_fallback, observed 2026-05-26T21:28:23.015226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:8de9b58961b7132a4fed84622c75370b07e5e9216d4f2410dc48fa7d20a405b7

Observation 48e3c2bc-3a4e-4ab7-b191-32e8cf1d7529 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 13

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raw_fallback, observed 2026-05-26T21:28:23.024744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:e46609fe7e5e1bd624b796b2cb9cbad649a1b8b429cd3646f7e08e96ccd32564

Observation 2dd8a358-9f57-432a-866a-82a9d03aad50 · outbound

This paper cites Dissecting racial bias in an algo- rithm used to manage the health of populations.Science, 366(6464):447–453.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Dissecting racial bias in an algo- rithm used to manage the health of populations.Science, 366(6464):447–453

Reference 14

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raw_fallback, observed 2026-05-26T21:28:22.980975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:93fe888aa89fb12374d947e103d884cd0655265515cc0014a8db5cf5c10578f8

Observation 1f4c0249-bc31-4001-af2d-7eda280c9008 · outbound

This paper cites Sigmoid loss for language image pre-training.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Sigmoid loss for language image pre-training

Reference 15

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raw_fallback, observed 2026-05-26T21:28:22.976746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:5dbf932a3e646f528a53564d465bb59605e49bd668d1f322cf53e72543f0ecca

Observation b50eefcd-0cfa-4777-b4bb-2c3592310ba4 · outbound

This paper cites Exploring scal- able medical image encoders beyond text supervision.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Exploring scal- able medical image encoders beyond text supervision

Reference 16

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raw_fallback, observed 2026-05-26T21:28:22.984925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e39b3b56-608d-4e1d-b5e8-daa9c4a4aae6 · outbound

This paper cites Dosovitskiy, L.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Dosovitskiy, L

Reference 17

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raw_fallback, observed 2026-05-26T21:28:22.973021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:a7d8ba22c7c9d77e9f5e3e2a5da2d5d2ad8dc9600b5d8c709ae85aad8f7fb253

Observation e84b6392-f2fb-4956-804b-a36c4fe418b2 · outbound

This paper cites Exponential concentration in quantum kernel methods.Nature Communications, 15(1):5200.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Exponential concentration in quantum kernel methods.Nature Communications, 15(1):5200

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:a4045f2a173c8887210acc8bdf80f8870eabc653151ebd26f4fe84081e7083b8

Observation 6ff2ce36-5965-4b32-86fe-239fa687b49a · outbound

This paper cites Huang, M.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Huang, M

Reference 19

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raw_fallback, observed 2026-05-26T21:28:22.958176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:89fc346e831503cd695129c914dd58e5e05860e6b5c0c34f5ddcefa9ebc2fced

Observation 62bd62e2-38c7-4f70-9296-fe8569fdc102 · outbound

This paper cites The inductive bias of quantum kernels.Advances in Neural Information Processing Systems, 34:12661–12673, 14 2021.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings The inductive bias of quantum kernels.Advances in Neural Information Processing Systems, 34:12661–12673, 14 2021

Reference 20

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raw_fallback, observed 2026-05-26T21:28:22.961490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:00275754405135ad75da0f2de392349199cbe3f3fea55ddb5c0bb3168df3c998

Observation e1bcb2ba-af8d-4410-916f-b2002744b3c9 · outbound

This paper cites Larocca, S.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Larocca, S

Reference 21

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raw_fallback, observed 2026-05-26T21:28:22.951939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:27462c22b46c76e3b2159c41850fcc04d3d4dca04d6b0a439853334e89f54157

Observation edc50a79-c8b4-4185-b4d5-556f6ba245e0 · outbound

This paper cites The power of quantum neural networks.Nature Computational Science, 1:403–409.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings The power of quantum neural networks.Nature Computational Science, 1:403–409

Reference 22

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raw_fallback, observed 2026-05-26T21:28:22.960171Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:0e48c639fde9b7d1d5b5432ef80a5aa1d8ce42b1a7a271727e4db9009b8fc876

Observation d7bef4c6-d796-407e-a91c-2266efb6d23d · outbound

This paper cites Peral-Garc´ ıa, J.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Peral-Garc´ ıa, J

Reference 23

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raw_fallback, observed 2026-05-26T21:28:22.955330Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:1a03f7512b2a8e9856e8afbd160bfb08dbdb3e7abc81a16d48ec1766ff25c69e

Observation a02806f9-ded8-4df9-b2b1-9f02610d7857 · outbound

This paper cites Senokosov, A.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Senokosov, A

Reference 24

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raw_fallback, observed 2026-05-26T21:28:22.964698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:fb222426fe8628f25dce9cee76e78fb5ede1179cc9c945dc0f5cfb23845a8651

Observation a7dd47e2-9577-4486-99c0-81ce80333c67 · outbound

This paper cites Vapnik.The Nature of Statistical Learning Theory.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Vapnik.The Nature of Statistical Learning Theory

Reference 25

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raw_fallback, observed 2026-05-26T21:28:22.991442Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:1664854f569730bed9c5bcf13bbda2ad65fcda0ab3596c21664083c664f1fe27

Observation 7c0067f1-0c41-4e6c-9f62-cf38e0fc767a · outbound

This paper cites Sch¨ olkopf and A.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Sch¨ olkopf and A

Reference 26

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raw_fallback, observed 2026-05-26T21:28:23.030959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:4f1b353cdfd9cde7384ebea367c3816af093ff8c1efa4d8ede6a6af9beae03ba

Observation a83d2b4d-d30c-4838-825c-3aabf03df54f · outbound

This paper cites Coleman, C.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Coleman, C

Reference 27

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raw_fallback, observed 2026-05-26T21:28:23.034087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:eae8de50eacd9fa94c61ae3ebbf90d6bcc0de9c737e80b41a15b8b4419ed6264

Observation e1d97541-47ca-407f-9cc5-ac1567c88596 · outbound

This paper cites Sokolova and G.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Sokolova and G

Reference 28

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raw_fallback, observed 2026-05-26T21:28:23.036945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:e1b416f38207d7211d58d95228604dab9d07ccb8db826e040a1d273d25af182d

Observation 8bd63364-bde8-4319-95f7-86c33a43d85a · outbound

This paper cites The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation.BMC Genomics, 21:6.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation.BMC Genomics, 21:6

Reference 29

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raw_fallback, observed 2026-05-26T21:28:22.939115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:e6fd2aa83294f6065cdc1bc5fac9baeacee06c263af1dd3fcee25775a199957f

Observation cd134eae-261e-41b3-a048-07487a5f0d25 · outbound

This paper cites Predicting no-shows at out- patient appointments in internal medicine using machine learning models.PeerJ Computer Science, 11:e2762.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Predicting no-shows at out- patient appointments in internal medicine using machine learning models.PeerJ Computer Science, 11:e2762

Reference 30

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raw_fallback, observed 2026-05-26T21:28:22.942233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:9fc8c83205b7943175ebd127f52459dfda402f07f726acf680f8950ac7aa43ce

Observation 2d14cde5-ec66-4047-ac46-8602ca87b260 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.Nature Communications, 9(1):4812.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Barren plateaus in quantum neural network training landscapes.Nature Communications, 9(1):4812

Reference 31

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raw_fallback, observed 2026-05-26T21:28:22.945352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:036e1f3a17f80c8d4344cce872a457ed4c2ec89f92a627e0b38dfc59aefd296e

Observation 09b67617-7ccf-403d-b221-67c683af0eb9 · outbound

This paper cites These complement the MedSigLIP q = 6 spectrum shown in the main text (Figure 3).

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings These complement the MedSigLIP q = 6 spectrum shown in the main text (Figure 3)

Reference 32

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raw_fallback, observed 2026-05-26T21:28:22.928789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:091302c216f89b909429bc32c11284089f364314d2a021ddd905c37ee33c94c5

Observation 8efc8f74-7be8-45c1-b90b-9ff19dfc1a18 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 33

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raw_fallback, observed 2026-05-26T21:28:22.932141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:096a03b01ab71ef1b34c0b8933df3272b166aa8fbf46ec6addbb09db740fa8d6

Observation ce522068-43a3-4bb1-b4f5-918fe6379b4a · outbound

This paper cites The substantial class overlap visible in every panel provides a geometric explanation for why the linear kernel collapses.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings The substantial class overlap visible in every panel provides a geometric explanation for why the linear kernel collapses

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T21:28:22.969161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:7f79b2745382bf94e408915705298c5c90311049402bc1c88184f49af4fcb322

Observation 54443187-a2a4-404f-bed0-f2934dd2e5c3 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-26T21:28:22.925551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:378696b20d0901945bedeedb1c866dffc79c47d325d3f89f5d2c06fe2cff711e

Observation b288134d-1b91-401f-80eb-eefc11243b55 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-26T21:28:22.935441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:3eb23973cb44be4f3e12fb5b6e4eee1b0b15f2074af89b23527096ba5811de94

Observation 1166ccf7-f051-44b1-987e-610b602da355 · outbound

This paper cites an unresolved cited work.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-26T21:28:22.922162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:56:20.905929Z digest=sha256:e5d2afee5bf0f706a7f3edc64a40484fe02e1a116b7f88e486747fdb148796a0

Pith citing papers

No inbound Pith citation observations are available.