Paper Citation Record · LEDGER

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.00863.

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

pith.paper-citation-record.v1
2312.00863 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:30.647045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:48:19.715498Z

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 4931a258-6a2c-4fa7-93df-a87005a97de3 · inbound

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks cites this paper.

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:20:15.828200Z

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 a8540285-5f7d-4a9d-aa91-17cdcaba8555 · inbound

IRS: Incremental Relationship-guided Segmentation for Digital Pathology cites this paper.

IRS: Incremental Relationship-guided Segmentation for Digital Pathology EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:30.647045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6d4960-afe5-4b1c-9271-2392a7a93bad · inbound

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive cites this paper.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:44.221558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea5bad5-b353-4a73-967f-3c010aaaeb95 · inbound

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo cites this paper.

Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:25.846478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f74f94b-0330-4494-aed6-53645f5827ec · 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 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:13:13.166338Z

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 6ffa774f-7082-4caf-acd5-028420dab5d5 · inbound

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics cites this paper.

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:56:26.726950Z

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 233c3beb-d218-461b-9177-1fa9834854cc · inbound

SparseSAM: Structured Sparsification of Activations in Segment Anything Models cites this paper.

SparseSAM: Structured Sparsification of Activations in Segment Anything Models EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.717709Z

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 6cb6212c-e438-4fb6-8517-2d3c7a4349a7 · inbound

GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation cites this paper.

GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T00:08:46.276767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.