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Paper Citation Record · LEDGER

Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.14133.

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

pith.paper-citation-record.v1
2308.14133 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:59:06.978411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:15:26.753396Z

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 0f849a5e-7333-4ab9-be88-038021d9fb10 · inbound

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation cites this paper.

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:06.978411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:06.978411Z digest=sha256:17ccdc74baa2819935aa6e33f3a425a5dc0e6042c6d48718a08bdc12d8a4164f

Observation b881b192-8fde-460f-826b-c201ee0933ab · inbound

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation cites this paper.

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:15:26.761413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:15:26.547678Z digest=sha256:70be87b68f77657778f5a7edc21e3846649a4c7f514f3cc67536db66ebf71728