Paper Citation Record · LEDGER

On the Robustness of Segment Anything

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.16220.

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

pith.paper-citation-record.v1
2305.16220 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:48:10.872394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:44:18.757244Z

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 d6dce785-1d33-4d3c-b422-cf4e06ad196b · inbound

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation cites this paper.

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation On the Robustness of Segment Anything

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:48:10.872394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b6c53b3-3d79-462e-a3de-763eef5fa2d2 · inbound

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

Segment Any-Quality Images with Generative Latent Space Enhancement On the Robustness of Segment Anything

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:47:15.717221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d89cfa7c-e88b-415f-84f4-171aab44647d · 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 On the Robustness of Segment Anything

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:13:13.196181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f3973c2-dcc8-4bbe-9fc6-473f0859cd0b · inbound

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation cites this paper.

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation On the Robustness of Segment Anything

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:18.758622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.