Paper Citation Record · LEDGER

MobileSAMv2: Faster Segment Anything to Everything

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2312.09579.

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

pith.paper-citation-record.v1
2312.09579 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:49.547609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.171857Z

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 87e31be3-a458-45a0-814d-2944ee61133e · inbound

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

On Efficient Variants of Segment Anything Model: A Survey MobileSAMv2: Faster Segment Anything to Everything

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.126561Z

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.

Observation b14219f4-0ea2-41f4-8266-4983cc0e55d0 · 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 MobileSAMv2: Faster Segment Anything to Everything

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:49.547609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a058d4da-82a0-456f-a638-7b63f7dcdfd6 · inbound

Compress Any Segment Anything Model (SAM) cites this paper.

Compress Any Segment Anything Model (SAM) MobileSAMv2: Faster Segment Anything to Everything

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.924093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cb05af-466d-48af-a998-b69e1dbea706 · inbound

Open-Vocabulary Indoor Object Grounding with 3D Hierarchical Scene Graph cites this paper.

Open-Vocabulary Indoor Object Grounding with 3D Hierarchical Scene Graph MobileSAMv2: Faster Segment Anything to Everything

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:58:56.345914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c45d1d-5a6d-4c1e-a2e0-ebc7db65f343 · inbound

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model cites this paper.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model MobileSAMv2: Faster Segment Anything to Everything

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:41.953157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239530f7-d564-4821-9210-e9aaef263fbd · inbound

PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation cites this paper.

PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation MobileSAMv2: Faster Segment Anything to Everything

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T22:32:36.129552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fce0c2-800f-4cf6-af2b-70ee4f75236e · inbound

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

Weight Group-wise Post-Training Quantization for Medical Foundation Model MobileSAMv2: Faster Segment Anything to Everything

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:11:01.872997Z

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.

Observation 17ff30a6-83ae-4c98-89d8-5433a0cab54a · inbound

PhysGraph: A Physics-aware 3D Scene Graph for Perception and Reasoning cites this paper.

PhysGraph: A Physics-aware 3D Scene Graph for Perception and Reasoning MobileSAMv2: Faster Segment Anything to Everything

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:27:27.448376Z

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.

Observation 7e9f38e4-a05f-4c59-89c1-df5b8e4b12d8 · inbound

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models cites this paper.

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models MobileSAMv2: Faster Segment Anything to Everything

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.173447Z

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.

Observation 42aa6d9f-0f3e-4210-bb5b-f6633d459958 · inbound

Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing cites this paper.

Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing MobileSAMv2: Faster Segment Anything to Everything

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:57:19.169573Z

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.

Observation 3205ce1c-349c-45b4-ac0d-320e07684893 · inbound

DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability cites this paper.

DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability MobileSAMv2: Faster Segment Anything to Everything

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:18:06.170903Z

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.

Observation ed887fff-753d-4946-aa1e-9cd80b1b95c0 · inbound

DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability cites this paper.

DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability MobileSAMv2: Faster Segment Anything to Everything

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T08:33:58.734980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1376e2ce-61eb-4b83-9661-6a4a3a35b0f7 · inbound

LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert Aggregation cites this paper.

LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert Aggregation MobileSAMv2: Faster Segment Anything to Everything

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:29.220185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.