Paper Citation Record · LEDGER

Medical SAM 2: Segment medical images as video via Segment Anything Model 2

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2408.00874.

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

pith.paper-citation-record.v1
2408.00874 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:58:48.140418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.350634Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0aa23061-ed4e-424e-832d-363c942e3544 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.376662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3060988f-c30a-422c-8d29-1d44b32fd8e1 · inbound

Segment Any-Quality Images with Generative Latent Space Enhancement cites this paper.

Segment Any-Quality Images with Generative Latent Space Enhancement Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:47:15.682881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 640eb48c-7d40-456e-98a3-1a8c94ae07d0 · inbound

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation cites this paper.

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:48.140418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98db074-677c-42cc-b852-c7e987d9c7e0 · inbound

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 cites this paper.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:39.022143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382c46cd-c1f0-47fa-a85c-d6a4ff518cc7 · inbound

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors cites this paper.

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T11:38:37.806083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a225cade-e78e-4ce3-a962-765534c497ac · inbound

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 cites this paper.

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:59:57.783157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c79325a-f042-4322-803a-e76d2311ed76 · inbound

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

Live(r) Die: Predicting Survival in Colorectal Liver Metastasis Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 70

Resolution: malformed identifier; no resolver link, observed 2026-08-04T20:04:30.188226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e709095-40c2-41b6-a381-695799356432 · inbound

Organoid Tracker: A SAM2-Powered Platform for Zero-shot Cyst Analysis in Human Kidney Organoid Videos cites this paper.

Organoid Tracker: A SAM2-Powered Platform for Zero-shot Cyst Analysis in Human Kidney Organoid Videos Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T17:10:49.056775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8957482f-d9a1-407f-a997-3472f4c46f25 · inbound

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI cites this paper.

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:31:14.819118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4a9d89f9-8e8e-4fe4-a587-1c65f9989245 · inbound

RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans cites this paper.

RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T09:11:09.890968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a01a10f0-7821-4ff2-8519-c9d9a537c6ca · inbound

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt cites this paper.

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:05:57.442113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation accf13e2-f442-4295-acbb-c2e0912b6ded · inbound

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt cites this paper.

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T09:21:21.122211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e7a47d7-c2e7-4e64-92fc-b8d33693db6c · inbound

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking cites this paper.

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T21:12:07.539556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e1e0d9-268a-40fd-b55e-3c67b59422a2 · inbound

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM cites this paper.

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:24.765165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dcfe04c-6e06-4b7e-b968-fd7c060d4064 · inbound

Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models cites this paper.

Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:11:11.682101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41a800b1-c0a0-4cbc-942c-781549f003f6 · inbound

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:13:13.222183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4c8a7fea-1bb0-4640-abf4-aec798455829 · inbound

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation cites this paper.

DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T11:58:53.399042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887bbd4d-ebca-4aad-9fca-91cdcae56010 · inbound

Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models cites this paper.

Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:01.492563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6edb560e-4360-409b-9d33-480aeaf1bcb2 · inbound

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing cites this paper.

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:02.170892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 494d310f-fd33-481a-a2ad-90737824d83e · inbound

SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation cites this paper.

SGP-SAM: Self-Gated Prompting for Transferring 3D Segment Anything Models to Lesion Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.300385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6247e1c-bb78-4c84-a1d7-2abd7474d37f · inbound

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation cites this paper.

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:36:26.098020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 205b2229-4deb-48ef-8ca6-925159186940 · inbound

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model cites this paper.

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:32:47.889669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 12fed2ef-009f-4a89-be88-60e2af133d79 · inbound

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI cites this paper.

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:15.185129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 68203bbf-f793-41bb-8366-d53be6d4d761 · inbound

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation cites this paper.

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:56:44.601734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a711d24-e5e3-4b61-8556-53978bd2dc38 · inbound

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation cites this paper.

Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:27:07.644486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d131dcd4-cc8e-4f55-9688-daf82aac4653 · inbound

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images cites this paper.

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:43.574338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f75bd0c7-9831-41d9-8a9b-738769e80d94 · inbound

Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation cites this paper.

Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T18:18:49.909235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac896975-0936-412a-9395-6cd5676f35ac · inbound

Human and AI collaboration for pulmonary nodule segmentation cites this paper.

Human and AI collaboration for pulmonary nodule segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.194066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6e02af7f-ca04-4e2c-8378-c8bb7cbfc527 · inbound

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology cites this paper.

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.351932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6c8ef392-11b3-4e7a-8a8f-f86a550eba42 · inbound

Towards Voxel Spacing Consistency for Medical Image Segmentation cites this paper.

Towards Voxel Spacing Consistency for Medical Image Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:41.112842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f70d7243-60fe-446a-8cc6-06163f1f305f · inbound

Higher-Order Cell Tracking Transformer cites this paper.

Higher-Order Cell Tracking Transformer Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-14T03:25:28.859078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c32a00c-fd24-46bb-8cb1-f756a4b92a4e · inbound

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens cites this paper.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:27:27.835749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6bdf99-d138-429f-9659-f56ee41c8642 · inbound

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 cites this paper.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.069270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e236232f-e10e-424e-acc9-0cbefc97814c · inbound

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch cites this paper.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:31:10.166155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b75753-d804-450d-8b7a-0a459c053399 · inbound

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation cites this paper.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-30T15:42:49.143667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a03e6e4-8662-487d-9b14-15e3d96639a6 · inbound

Do Medical Foundation Models Generalize on the African Brain? cites this paper.

Do Medical Foundation Models Generalize on the African Brain? Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T00:28:10.669549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac99308-8b69-44c3-94ad-88515e090351 · inbound

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T15:00:02.337984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.