Paper Citation Record · LEDGER

Image Segmentation in Foundation Model Era: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2408.12957.

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

pith.paper-citation-record.v1
2408.12957 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:45.331969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.135657Z

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 e74b1880-523d-44e6-aedf-5380c4e18ad4 · inbound

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation cites this paper.

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation Image Segmentation in Foundation Model Era: A Survey

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:45.331969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd66ee61-64e3-498e-9dcf-a974936bca0a · inbound

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models cites this paper.

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models Image Segmentation in Foundation Model Era: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:38.421387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08daf8ea-02e6-4406-bd0b-ec8d4f7b4ba3 · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation Image Segmentation in Foundation Model Era: A Survey

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:15.203110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe54a33-c123-4b71-bd17-da54f5fef6f0 · inbound

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 cites this paper.

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3 Image Segmentation in Foundation Model Era: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:14:15.343680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7d215e-3444-46a5-867e-f4b05e164b38 · inbound

SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation cites this paper.

SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation Image Segmentation in Foundation Model Era: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T17:37:43.759384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbf6604-02b4-430e-8033-8894b3941ef8 · inbound

Diffusion Model as a Generalist Segmentation Learner cites this paper.

Diffusion Model as a Generalist Segmentation Learner Image Segmentation in Foundation Model Era: A Survey

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:15.683974Z

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 238efd66-430b-4d7f-851c-1d9a770e3767 · inbound

MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models cites this paper.

MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models Image Segmentation in Foundation Model Era: A Survey

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:53:38.856197Z

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 0af7dee0-1116-4ab0-975c-6e99c729ce33 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Image Segmentation in Foundation Model Era: A Survey

Reference 35

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T08:43:15.495886Z

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 4ae6f6c0-622b-4abb-bf76-1a59491b3637 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Image Segmentation in Foundation Model Era: A Survey

Reference 35

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T00:39:16.395566Z

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 25949914-658c-4119-9236-85273a08fd34 · inbound

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation cites this paper.

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation Image Segmentation in Foundation Model Era: A Survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.556600Z

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 242c9e98-2a9c-497d-bbb1-cdd4276e26d1 · 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 Image Segmentation in Foundation Model Era: A Survey

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.137382Z

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.