Paper Citation Record · LEDGER

nnInteractive: Redefining 3D Promptable Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.08373.

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

pith.paper-citation-record.v1
2503.08373 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:47.922242Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43dbc14c-367c-4e38-aa28-6245f563fca7 · inbound

Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering cites this paper.

Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering nnInteractive: Redefining 3D Promptable Segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:47.922242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b63193-27d4-4958-b688-87b758391646 · inbound

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging cites this paper.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging nnInteractive: Redefining 3D Promptable Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:39.531945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b0e9d2-78c3-402e-84a2-7df5d42950e8 · inbound

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation cites this paper.

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation nnInteractive: Redefining 3D Promptable Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:39.167431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d78b96-0c24-42a8-8cb0-147d27ce3d52 · inbound

Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels cites this paper.

Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels nnInteractive: Redefining 3D Promptable Segmentation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T17:30:17.745197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbe464b6-8207-45d7-b2f7-a03aba7c5ef1 · inbound

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models cites this paper.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models nnInteractive: Redefining 3D Promptable Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.173807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edafb79b-b890-45bb-afeb-7718a9eb771d · inbound

Promptable Longitudinal Lesion Segmentation in Whole-Body CT cites this paper.

Promptable Longitudinal Lesion Segmentation in Whole-Body CT nnInteractive: Redefining 3D Promptable Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:28:46.780105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1582085-3a45-4f80-904e-a5a752d426be · inbound

Live(r) Die: Predicting Survival in Colorectal Liver Metastasis cites this paper.

Live(r) Die: Predicting Survival in Colorectal Liver Metastasis nnInteractive: Redefining 3D Promptable Segmentation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T20:04:30.160230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23bf9c1-2e9e-420a-8e3e-c5b277fcd4f7 · inbound

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation cites this paper.

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation nnInteractive: Redefining 3D Promptable Segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T20:32:56.529286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86371618-2c2f-4547-80a5-4fd3860a4d12 · inbound

Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation cites this paper.

Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation nnInteractive: Redefining 3D Promptable Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T15:10:05.045144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5ef5dc-bd2c-4989-843e-2c80800968ea · inbound

Universality Reconsidered: Rethinking the Validation of Foundation Models for General-Purpose 3D Medical Segmentation cites this paper.

Universality Reconsidered: Rethinking the Validation of Foundation Models for General-Purpose 3D Medical Segmentation nnInteractive: Redefining 3D Promptable Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T03:37:09.320134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e17a6985-24a7-4d3a-bfa9-83e82ab07159 · inbound

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It nnInteractive: Redefining 3D Promptable Segmentation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:08:13.061989Z

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.

Observation 0fbedc67-7c1a-4b3c-859a-585c221d8f97 · inbound

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization cites this paper.

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization nnInteractive: Redefining 3D Promptable Segmentation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:28:39.346720Z

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.

Observation 3e9dfee1-08a1-424c-9b8a-6596bd43b762 · inbound

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training cites this paper.

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training nnInteractive: Redefining 3D Promptable Segmentation

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:39:01.327565Z

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.

Observation 70c86754-d83a-4e2e-abae-759b7147d8f0 · inbound

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking cites this paper.

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking nnInteractive: Redefining 3D Promptable Segmentation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:24.464362Z

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.

Observation b8e6060d-bda5-455e-8e4d-c6360ba1d22b · inbound

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction cites this paper.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction nnInteractive: Redefining 3D Promptable Segmentation

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:23:51.027528Z

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.

Observation 55ba4a99-567c-4216-b9ed-5aa2cbe3b1d6 · inbound

Fast ungated five-dimensional cardiac MRI on a 1.5 T MR-linac for MRI-guided radiotherapy cites this paper.

Fast ungated five-dimensional cardiac MRI on a 1.5 T MR-linac for MRI-guided radiotherapy nnInteractive: Redefining 3D Promptable Segmentation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T21:35:48.738940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d07b4b6-b8fa-4107-8711-97fb199ffb1c · inbound

Effect of User-Prompted Priors on Semi-Automated Cancer Lesion Segmentation in Whole-Body Computed Tomography cites this paper.

Effect of User-Prompted Priors on Semi-Automated Cancer Lesion Segmentation in Whole-Body Computed Tomography nnInteractive: Redefining 3D Promptable Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T20:56:22.236941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de94c243-5721-47cc-8d5c-19c3b7eb4ad7 · inbound

MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation cites this paper.

MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation nnInteractive: Redefining 3D Promptable Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T00:41:16.151395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.