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Paper Citation Record · LEDGER

UNICON: UNIfied CONtinual Learning for Medical Foundational Models

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.14024.

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

pith.paper-citation-record.v1
2508.14024 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:45.889525Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

  • verified exact1
  • verified fuzzy15
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f84ba930-cfbc-4955-a422-4d1089a12c97 · outbound

This paper cites GPT-4 Technical Report.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-05T18:48:43.015386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:43.015386Z digest=sha256:561b463bbbba5bccfda9349484273edd985afe7e83404a9685204d467b49ff67

Observation 666327ce-599b-4b8b-997a-742cc3f1c002 · outbound

This paper cites In: 3D head and neck tumor segmentation in PET/CT challenge, pp.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: 3D head and neck tumor segmentation in PET/CT challenge, pp

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 2026-08-22T06:32:14.747728+00:00.

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Observation cd41b7e1-6a9e-4d55-af44-d3178b78362a · outbound

This paper cites arxiv preprint arxiv: 221102701.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models arxiv preprint arxiv: 221102701

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ef3110b1-32f6-4dff-8ef1-1d0d6f35dfe1 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 4

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no resolver link, observed 2026-08-05T18:48:43.172652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:43.172652Z digest=sha256:31e192bd6f597d375aa40eb9f141bc58e8166ea2737a02b62331cc4e0598ede0

Observation 108de56d-42e0-4594-bfe8-7b4caa11b821 · outbound

This paper cites Computers in biology and medicine50, 76–96 (2014).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Computers in biology and medicine50, 76–96 (2014)

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T18:48:50.442952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ec16fb36-8102-46ed-9da3-251ed16fd82f · outbound

This paper cites Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:43.264593Z digest=sha256:a142d28b62bd87446788af9c91980582c17d5a81370e1e0d7c53060b2c0f01a9

Observation 5cf08670-4501-492b-8851-a70e50377545 · outbound

This paper cites Journal of the American College of Radiology15(3), 512–520 (2018).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Journal of the American College of Radiology15(3), 512–520 (2018)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:50.213252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 98a6f43b-8289-4e48-98c1-a53a7350adfb · outbound

This paper cites arXiv preprint arXiv:2403.17834 (2024).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models arXiv preprint arXiv:2403.17834 (2024)

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:43.431405Z digest=sha256:0c3d234e7fb472dee81acfe3cc7610c82d73294fbecf44d163a872716aac5b6d

Observation deb69fa8-0dac-4d72-be2a-e55215980e7f · outbound

This paper cites UNETR: Transformers for 3D Medical Image Segmentation.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models UNETR: Transformers for 3D Medical Image Segmentation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:43.504354Z digest=sha256:dc8214d548851883f1576a2c4f91398aae0c681c849fbe5a376b505f9441b035

Observation 04e472e7-51a3-49b5-9852-0d1866018749 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3305b26-81d3-475d-a4bb-7fe0cd8a8389 · outbound

This paper cites Journal of Digital Imaging24(6), 1175–1183 (2011).https://doi.org/10.1007/s10278-011-9364-1.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Journal of Digital Imaging24(6), 1175–1183 (2011).https://doi.org/10.1007/s10278-011-9364-1

Reference 11

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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 2026-08-22T06:32:14.747728+00:00.

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Observation c725528a-16ca-43eb-a649-dea936adae5b · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: Proceedings of the AAAI conference on artificial intelligence

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c69abfac-25bf-4cf5-9348-1dc4f28a1e63 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:50.044360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 232778d4-7f32-4fd8-b2a3-0ffa0cde6c5d · outbound

This paper cites Medical image analysis42, 60–88 (2017).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Medical image analysis42, 60–88 (2017)

Reference 14

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no resolver link, observed 2026-08-05T18:48:43.959825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9d512999-61d7-4953-b42e-314187b928ef · outbound

This paper cites OpenMedScience Reports (2023),https://www.openmedscience.com/ big-data-in-medical-imaging.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models OpenMedScience Reports (2023),https://www.openmedscience.com/ big-data-in-medical-imaging

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:48:44.029312Z digest=sha256:8d93b780f70431434f50cd0df8dbb258a5f875d2812eebaac7df932e69ce9e98

Observation 8997ac86-554f-4c80-9ecf-a0a73ff3f4a2 · outbound

This paper cites In: Annual Conference on Medical Image Understanding and Analysis.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: Annual Conference on Medical Image Understanding and Analysis

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:49.523503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3ee8a855-c871-4440-9f04-5fa79a026c00 · outbound

This paper cites Continual Learning in Medical Imaging: A Survey and Practical Analysis.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Continual Learning in Medical Imaging: A Survey and Practical Analysis

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f9300f9-3957-49b6-a509-ada2eaeafcb6 · outbound

This paper cites Springer (2019).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Springer (2019)

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ca5bc4be-1c24-466c-bd90-91990daae7e9 · outbound

This paper cites In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:48.613855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f98ee9ee-582c-4c1a-b06f-05a4eb7a2f18 · outbound

This paper cites In: 3D Head and Neck Tumor Segmentation in PET/CT Challenge, pp.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: 3D Head and Neck Tumor Segmentation in PET/CT Challenge, pp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:48.358164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1c2b498d-c6c2-41a4-962f-3a64b794ffa5 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:48.069853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b5389dda-4c14-4f48-8766-8fbdbeac77a8 · outbound

This paper cites A Survey on Trustworthiness in Foundation Models for Medical Image Analysis.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9edb9f92-34e0-4154-b427-fc9bceb97477 · outbound

This paper cites an unresolved cited work.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-05T18:48:47.758795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f241b754-d27d-48dc-ac13-1aade371bcf8 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:47.495515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:48:44.844420Z digest=sha256:bda7f960eda163d43f5e2af0e4ee642315f8f44601ce574e0cf9d32d76e897ea

Observation 2253569f-f303-4efd-ad96-03a5a8221aa4 · outbound

This paper cites DAIC (2015), https://www.daic.com/article/100tb-per-year-medical-imaging.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models DAIC (2015), https://www.daic.com/article/100tb-per-year-medical-imaging

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:47.222759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 23d2bea6-f6f4-40e3-9be1-fe563eaa1cde · outbound

This paper cites Journal of Clinical Medicine 12(20), 6500 (2023).

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Journal of Clinical Medicine 12(20), 6500 (2023)

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T18:48:46.949067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 716424b1-6913-4789-945f-25479c0b7886 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a8128b5-8308-4360-b7ce-3a4399162d66 · outbound

This paper cites an unresolved cited work.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:48:46.709621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bafe2fda-86c7-46f2-9873-a548e679ae69 · outbound

This paper cites In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:48:46.469618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 432c2a14-36d2-49d1-ae61-1b2225361e9a · outbound

This paper cites In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T18:48:45.729394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07474b2c-52eb-4827-978f-debc1bec4a2c · outbound

This paper cites BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 32

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no resolver link, observed 2026-08-05T18:48:45.889525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:45.889525Z digest=sha256:a053fe95afaf94e91fc63f77ca2a373d16876572c1fac2cfadcd24455bc850b2

Observation 8e7e1f26-699d-4807-a7ff-a5de59ebcb43 · outbound

This paper cites an unresolved cited work.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models Unresolved cited work

Reference 257

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:48:49.229021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.