Paper Citation Record · LEDGER

Quickly Tuning Foundation Models for Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2508.17283.

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

pith.paper-citation-record.v1
2508.17283 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:03:00.057845Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

25 of 25 outbound references displayed

verified exact2
verified fuzzy8
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b20e20a4-94e4-43ae-95ac-29930bdc3f14 · outbound

This paper cites Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How.

Quickly Tuning Foundation Models for Image Segmentation Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:03:00.520780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76c97cfb-d04c-4266-94b1-aa6c08055f6c · outbound

This paper cites E., and Gabbouj, M.

Quickly Tuning Foundation Models for Image Segmentation E., and Gabbouj, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:03.050686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6951ee8c-1f68-4ed5-a251-411e0e8c66d5 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al.

Quickly Tuning Foundation Models for Image Segmentation J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:03.043622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e841cac-05b0-4431-8aa1-c29ef1da1401 · outbound

This paper cites u cke, J., and Schmidt-Thieme, L. (2015). Beyond manual tuning of hyperparameters. KI-K \.

Quickly Tuning Foundation Models for Image Segmentation u cke, J., and Schmidt-Thieme, L. (2015). Beyond manual tuning of hyperparameters. KI-K \

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:03.035891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ddfcdbe-782b-4f6e-8a69-7cc1e54c4044 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:03.028119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a62d270-297f-4380-930b-b6527a48caad · outbound

This paper cites Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes.

Quickly Tuning Foundation Models for Image Segmentation Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:03:00.375276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a986aeea-62d3-4641-b054-7ba246eef65e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quickly Tuning Foundation Models for Image Segmentation Adam: A Method for Stochastic Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:58.673519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdadae13-b1a9-4b22-a18d-1d0e6fc82b3f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Quickly Tuning Foundation Models for Image Segmentation SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:58.792981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ce6188-1179-4b0b-96b7-44ae7fdc2336 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:02.948714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0caa2c68-23f8-4aca-8740-7ba72a9d67b7 · outbound

This paper cites O., Maskeli \=u nas, R., and Dama s evi c ius, R.

Quickly Tuning Foundation Models for Image Segmentation O., Maskeli \=u nas, R., and Dama s evi c ius, R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:02.777187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f970e8d1-fbf5-422a-a957-95e8ff104a77 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:02.631567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7df9863-5a26-440c-a719-f0585469c2c1 · outbound

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

Quickly Tuning Foundation Models for Image Segmentation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:59.165131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86880345-840f-456c-bd87-8953293a2bf9 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:02.285435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15f9929e-8863-47ce-b1e5-9a95226a536f · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:02.014177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6639c1b-2b35-426c-848d-268a941b3cd9 · outbound

This paper cites P., Kadra, A., Grabocka, J., and Hutter, F.

Quickly Tuning Foundation Models for Image Segmentation P., Kadra, A., Grabocka, J., and Hutter, F

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:01.757021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 101c9e2a-83ca-46f3-ab0a-999af628f7ad · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Quickly Tuning Foundation Models for Image Segmentation SAM 2: Segment Anything in Images and Videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:59.434568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b967e103-6783-4a83-b143-5e450eb8a986 · outbound

This paper cites N., Hutter, F., and M \"u ller, A.

Quickly Tuning Foundation Models for Image Segmentation N., Hutter, F., and M \"u ller, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:01.463136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0dfcf138-846b-4d28-ad1e-f3b9ea68b441 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:01.325054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09e4eff0-62f3-4b0a-9e3a-3a6f94f3681a · outbound

This paper cites K., Rapant, I., Ferreira, F., and Hutter, F.

Quickly Tuning Foundation Models for Image Segmentation K., Rapant, I., Ferreira, F., and Hutter, F

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:01.256939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1eb3503-1705-482d-88b5-cdcd64597abf · outbound

This paper cites H., Li, W., Vercauteren, T., Ourselin, S., and Jorge Cardoso, M.

Quickly Tuning Foundation Models for Image Segmentation H., Li, W., Vercauteren, T., Ourselin, S., and Jorge Cardoso, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:03:01.088454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b94bdfe-3e1a-41cf-b19d-3054d3c0ae3a · outbound

This paper cites AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models.

Quickly Tuning Foundation Models for Image Segmentation AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:59.793399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6119926f-9532-4a83-a849-5d0cc832c00b · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:00.982229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 83f5c277-1abd-4c41-86e9-61aef80212c7 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:00.831397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b495fcf8-c968-461c-a5d9-50dd3ef3657f · outbound

This paper cites MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation.

Quickly Tuning Foundation Models for Image Segmentation MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:03:00.233490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87f89315-4fd7-48d2-b491-16f15c3b4599 · outbound

This paper cites an unresolved cited work.

Quickly Tuning Foundation Models for Image Segmentation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:03:00.675070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.