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Paper Citation Record · LEDGER

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging

As of 12 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2411.16949.

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

pith.paper-citation-record.v1
2411.16949 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:45:42.524328Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 522fce91-69d0-46f4-9547-8b31b2d9537a · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.678860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.477863Z digest=sha256:42faef521c0d8e8fdd14405df86145ba63861ffe1f953170409940c9e969be0f

Observation 5e9eeec3-a113-451a-a286-1324f9dbd894 · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.657017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.483325Z digest=sha256:5f2261101d8dae7d0b0577d1a3030896ae63e1360b64e146a823f782a6cb638b

Observation 54c14e29-a01d-404d-a03c-e9aa9782f3bb · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.691916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.488697Z digest=sha256:b0b90177e4e67d8fc275c17a316f1bd2c50d5a3f0c2acb0d90af7169ee988ee4

Observation 5551599f-ef97-4ea1-bd49-3b6b155b79b4 · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.640649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.495881Z digest=sha256:ee26b184cc793b4b665410214b10946390b2c40660a13a787a6b8ab1d2231f30

Observation 0139fc35-1417-4f0f-aa18-3d9f76b34a50 · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.627921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.500537Z digest=sha256:6a24edbb58f8cf188deeaab93b5fc27430f141619a0b991e9f45ed8ac28a4321

Observation eb5d983b-d5c0-424c-bb85-da9d7485f117 · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.613227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.505122Z digest=sha256:c7e2001529d64fb46d91e83cf02406598e3b2e116524d0ef4cb7ea4c2110a9d5

Observation 0b9f9f60-4178-4152-955c-fbf56b132cdb · outbound

This paper cites an unresolved cited work.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:45:42.599602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.509863Z digest=sha256:731f61683536427b7cdddee04960acff9ff8fa730fc9d73e9270348da1a32aeb

Observation 423f0591-6a46-4463-8582-4d14a75f0ea6 · outbound

This paper cites SAMatch integrates the strengths of the foundational segmentation model SAM with those of a Match-based framework.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging SAMatch integrates the strengths of the foundational segmentation model SAM with those of a Match-based framework

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:45:42.585904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:45:42.517462Z digest=sha256:a37a5a4e09a8f43d154fad17713ff6b5fa5dd79da51ba7d5c579922ed7453dfd

Observation 19964906-1b06-4b3f-b7e4-d5a48db4dc17 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:45:42.524328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:45:42.524328Z digest=sha256:b2880af770c2d4f3b44394615470aec7f313891077f99aef9f71ef6b0c754ccb

Pith citing papers

No inbound Pith citation observations are available.