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Paper Citation Record · LEDGER

Test Time Training for 4D Medical Image Interpolation

As of 20 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 2026-08-20T06:33:59.587034+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

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  • verified fuzzy19
  • unresolved2
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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.