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Paper Citation Record · LEDGER

SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2408.04579.

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

pith.paper-citation-record.v1
2408.04579 v2

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 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:07:34.881032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.765999Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 8b49c13e-5e6c-48b9-b768-1e9e5e610a9c · inbound

SASVi -- Segment Any Surgical Video cites this paper.

SASVi -- Segment Any Surgical Video SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T11:07:34.881032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:07:34.881032Z digest=sha256:1c6e7963afa342c67a5f587a546afb67461dd751af5bfbfdc93bd39c8ce161de

Observation fce26d78-6859-4399-9ae3-a685f6c8d4c8 · inbound

SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection cites this paper.

SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:54.997222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:56:54.997222Z digest=sha256:f0215b1a7aebe8c9c69435aaaf4d2c43f4bf23b6d0d48d389dee20e345068e56

Observation 4a334688-76cb-41b5-8674-3a3d106dde9e · inbound

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost cites this paper.

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:38.439660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:38.439660Z digest=sha256:3f66bc48e44a4ee7058a5c202e2fab6b021e315c71d7aae0701a317a30c80f74

Observation 927b2552-3f26-4ba2-b3d4-324a10832155 · inbound

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement cites this paper.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:14.086334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:14.086334Z digest=sha256:f2e25cf7f8c1d4127187d4c7d58da2dbff9e27d8886f068d5e72bd011a5936ca

Observation d8ae1b53-930d-46b3-9fe9-fe9de93555b7 · inbound

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus cites this paper.

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:21:36.944884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:36.944884Z digest=sha256:fdfcb24ff08311fe66f817132c9a87f21fce2d630df0af8912c780c13d290560

Observation bce75e2d-29a5-48c6-990d-9a8cdbddb7e4 · inbound

SAM4D: Segment Anything in Camera and LiDAR Streams cites this paper.

SAM4D: Segment Anything in Camera and LiDAR Streams SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:11.282044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:11.282044Z digest=sha256:88b254ad0e69ff731abdb2640bd97f2a66cafdd99de94319d820e4107962c0ba

Observation 9a96f91b-a486-4d0f-a393-87c8641912e4 · inbound

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation cites this paper.

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:30.444667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:30.444667Z digest=sha256:28f204502f81f75918dd8c586c9ee5985c9e58e0d17b1e2524cb6416b8c87ebc

Observation 52b19cf9-be93-4c7d-a8e5-958cbf588eeb · inbound

SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model cites this paper.

SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T13:45:36.971957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:45:36.971957Z digest=sha256:b3d8c5b3005ee0a28596f3e48ac32c3bba45532cb3afda4da6530d007aaa95df

Observation 838d89cd-bb63-4f46-a495-362bbf9cb2f5 · inbound

Shape Distribution Matters: Shape-specific Mixture-of-Experts for Amodal Segmentation under Diverse Occlusions cites this paper.

Shape Distribution Matters: Shape-specific Mixture-of-Experts for Amodal Segmentation under Diverse Occlusions SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T05:31:45.365097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:31:45.365097Z digest=sha256:20f0903fae514b1640405578bfe5bf1f20717ee7036ccaa68dc0f63d13ab2084

Observation 10b016f4-dd05-416a-99f8-cfe7d4c2ed01 · inbound

Multimodal SAM-adapter for Semantic Segmentation cites this paper.

Multimodal SAM-adapter for Semantic Segmentation SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:10.197542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:10.197542Z digest=sha256:6f04d0d1513f81d820d56c47bd4079540a1bd2ee68d4874c8b3177ab4c2619d7

Observation a0c2d4ee-6a30-48cc-a4ff-0527ade43ffd · inbound

Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion cites this paper.

Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2009

Resolution
malformed identifier
no resolver link, observed 2026-08-03T05:49:51.668829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:49:51.668829Z digest=sha256:4ec2ded3756720fbbcfe88b543b25982e2b00927bcca4aa7e8b9eaed97d5bd5f

Observation e42c945c-306b-4efd-bcf7-79a98638ebb8 · inbound

Weight Group-wise Post-Training Quantization for Medical Foundation Model cites this paper.

Weight Group-wise Post-Training Quantization for Medical Foundation Model SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:11:01.915130Z

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.

source=pdf_text observed=2026-05-10T17:16:25.669457Z digest=sha256:281890b655e9db370653b41f04b0cbe5e962ca6dbd9485cb7293db0af7ba216e

Observation 1cfd2129-f20e-4e76-9762-3ee375167cfa · inbound

Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection cites this paper.

Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:58.444943Z

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.

source=pdf_text observed=2026-05-10T16:30:53.849769Z digest=sha256:07e183f8b5fb2783df9a4d097b644e07c574b07e22e2dbd5722961b1ac1a7903

Observation d630ffcf-5183-4174-a8aa-5cbe088f7cca · inbound

M$^4$-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection cites this paper.

M$^4$-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:17:22.984475Z

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.

source=pdf_text observed=2026-05-13T06:14:49.029795Z digest=sha256:ffadd8f5d1592704e5cdecde674bb6b9b75d4bb577e40487bcfd0b9ade501a22

Observation 86736705-553f-4960-ad43-6264cba9bf80 · inbound

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors cites this paper.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:38.691748Z

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.

source=pdf_text observed=2026-06-30T12:02:55.855972Z digest=sha256:74f7ebbdc14bd193d2399a26b1db86f07ff84151d2f01eaa4819900b9927c2e0

Observation c63863eb-f71c-488a-9efc-9a6dd1c89370 · inbound

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance cites this paper.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.858657Z

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.

source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:a50b4ef9bf8d2ddf13df90c6393b56c31eff4066398985988718e0c4dee35ff1

Observation 40d4f60c-ade7-46d7-b306-7bce9bd1041b · inbound

From Reconstruction to Decision: A Post-Encoder Plug-in Adapter for Curvilinear Segmentation cites this paper.

From Reconstruction to Decision: A Post-Encoder Plug-in Adapter for Curvilinear Segmentation SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:19:47.767245Z

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.

source=pdf_text observed=2026-06-26T08:55:54.033882Z digest=sha256:c9e3678eb5cf85798715c4be072ae5e5537e12673504e5c0507fc44458ee90a2

Observation ef1c5509-8da4-4206-a204-2cbf48a46343 · inbound

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation cites this paper.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T07:35:42.545307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:c6c7b042001fe61780f67064ff505e48a6218a5632d614d013456e479d10999e