Paper Citation Record · LEDGER

Test Time Training for 4D Medical Image Interpolation

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.02341.

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

pith.paper-citation-record.v1
2502.02341 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:32:17.240964Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 863798e6-724e-4b8c-ab1e-c34bfc3b55e1 · outbound

This paper cites A spatiotemporal volumetric interpolation network for 4d dynamic medical image,.

Test Time Training for 4D Medical Image Interpolation A spatiotemporal volumetric interpolation network for 4d dynamic medical image,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.578078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ba81137-4c86-4fb0-a67c-723a91ad717f · outbound

This paper cites Mpvf: 4d medical image inpainting by multi-pyramid voxel flows,.

Test Time Training for 4D Medical Image Interpolation Mpvf: 4d medical image inpainting by multi-pyramid voxel flows,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.565067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 617c4190-5479-4cb0-bd1e-5093f4f71498 · outbound

This paper cites Transmorph: Transformer for unsupervised med- ical image registration,.

Test Time Training for 4D Medical Image Interpolation Transmorph: Transformer for unsupervised med- ical image registration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.551929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95fd9151-d0a7-4ca5-8a00-294d60673ecb · outbound

This paper cites Fourier-net+: Leveraging band-limited repre- sentation for efficient 3d medical image registration,.

Test Time Training for 4D Medical Image Interpolation Fourier-net+: Leveraging band-limited repre- sentation for efficient 3d medical image registration,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.538224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbce743a-7a2c-4de2-ad79-d9e5c47e9ae3 · outbound

This paper cites R2net: Efficient and flexible diffeomorphic image registration using lipschitz continu- ous residual networks,.

Test Time Training for 4D Medical Image Interpolation R2net: Efficient and flexible diffeomorphic image registration using lipschitz continu- ous residual networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.524379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4e7c489-fc86-4841-b607-6177184be6ed · outbound

This paper cites Implicit neural representations for deformable image registration,.

Test Time Training for 4D Medical Image Interpolation Implicit neural representations for deformable image registration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.510606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b25ef55-e067-45b4-9fd2-f65807769646 · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts,.

Test Time Training for 4D Medical Image Interpolation Test-time training with self-supervision for generalization under distribution shifts,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.497251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d316ef7d-859d-4f2f-83fc-0e3d91b7a6b3 · outbound

This paper cites Unsupervised Domain Adaptation through Self-Supervision.

Test Time Training for 4D Medical Image Interpolation Unsupervised Domain Adaptation through Self-Supervision

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:17.179499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5377b9e5-6e94-41fc-8a22-7e0313a0e205 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Test Time Training for 4D Medical Image Interpolation Masked autoencoders are scalable vision learners,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.483945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63ce9eb5-a358-46e2-83de-1a8830d5a613 · outbound

This paper cites V oxelmorph: A learning framework for deformable medical image registration,.

Test Time Training for 4D Medical Image Interpolation V oxelmorph: A learning framework for deformable medical image registration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.470041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b694223-8ddc-4a6c-93ad-6c1ab2b27270 · outbound

This paper cites Diffusion Deformable Model for 4D Temporal Medical Image Generation.

Test Time Training for 4D Medical Image Interpolation Diffusion Deformable Model for 4D Temporal Medical Image Generation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:32:17.297704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1835a4d7-7d18-4780-8f92-74b66d623a72 · outbound

This paper cites Data- efficient unsupervised interpolation without any interme- diate frame for 4d medical images,.

Test Time Training for 4D Medical Image Interpolation Data- efficient unsupervised interpolation without any interme- diate frame for 4d medical images,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.456272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e10ac38f-10fd-4c80-bb0d-b2247fe59ffb · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts,.

Test Time Training for 4D Medical Image Interpolation A comprehensive survey on test-time adaptation under distribution shifts,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.442138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5413bd63-0476-4696-b84b-a9c130ea1d63 · outbound

This paper cites Test- time training with masked autoencoders,.

Test Time Training for 4D Medical Image Interpolation Test- time training with masked autoencoders,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.428131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef31e9a5-b7fd-42a8-8902-72f62fc9bd08 · outbound

This paper cites Test time training for industrial anomaly segmentation,.

Test Time Training for 4D Medical Image Interpolation Test time training for industrial anomaly segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.414431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2de71a25-294c-4c2e-b022-b507d4843887 · outbound

This paper cites Test-time training for matching-based video object segmentation,.

Test Time Training for 4D Medical Image Interpolation Test-time training for matching-based video object segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.399959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1dbb245e-3fac-4b7f-869a-e0ef4a82be76 · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles,.

Test Time Training for 4D Medical Image Interpolation Unsupervised learning of visual representations by solving jigsaw puzzles,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.384211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47b7a8a2-7638-42ed-b8d5-5b96ce800096 · outbound

This paper cites Self-supervised learning for medical image analysis using image context restoration,.

Test Time Training for 4D Medical Image Interpolation Self-supervised learning for medical image analysis using image context restoration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.370089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd482349-036f-42a1-ae51-3acc36c65cf0 · outbound

This paper cites Multimodal self-supervised learning for medical image analysis,.

Test Time Training for 4D Medical Image Interpolation Multimodal self-supervised learning for medical image analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.355910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c15f6cf-c882-46e4-907d-9e4e8da7962f · outbound

This paper cites Unsupervised visual representation learning by context prediction,.

Test Time Training for 4D Medical Image Interpolation Unsupervised visual representation learning by context prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.341889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f8065be-63db-4356-9a63-b38c0a76854b · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

Test Time Training for 4D Medical Image Interpolation Unsupervised Representation Learning by Predicting Image Rotations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:17.236377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af916716-1412-4718-b69b-c3650035bb6d · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Test Time Training for 4D Medical Image Interpolation A simple framework for contrastive learning of visual representations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:17.327620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.