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Paper Citation Record · LEDGER

Zero-Shot Gaze-based Volumetric Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.15256.

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

pith.paper-citation-record.v1
2505.15256 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:31.579940Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation beb5dd26-cf99-428d-8df6-4370c003ca39 · outbound

This paper cites Segment anything.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Segment anything

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:24:32.533029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:30.396815Z digest=sha256:f2cda47c6c80f40240276163a795e4b6264353412c81ec7315e03fe9cccb7c51

Observation 36933cd4-e81c-40b7-93a6-8d20e6259e85 · outbound

This paper cites Segment anything in medical images.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Segment anything in medical images

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:24:32.293202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:30.491142Z digest=sha256:2c0e83e1e17e5854cb902a9d4aa9faf5949294aafb3dbfb58f0a570a9a436406

Observation b28fe696-307a-46f6-99c5-03b5a5977beb · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:30.634508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:30.634508Z digest=sha256:598085071c68e5d3eabacab98fd568f21acef5642d86baaeb0bd22d717783605

Observation a51caa89-2c89-442d-9c31-1fb1b699d4a0 · outbound

This paper cites MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:30.795183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:30.795183Z digest=sha256:ea3618e070d691113137790739aa3ce53e7aeb901f0f5e6184e38338820a39a7

Observation 5500c999-65a8-4478-a7ef-009c4f54a7ef · outbound

This paper cites GazeSAM: What You See is What You Segment.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation GazeSAM: What You See is What You Segment

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:30.918709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:30.918709Z digest=sha256:f06844f89909cc87fd9bce8c02682c0ef74cbd21f1509f91f921e464fa8114f1

Observation 3459aede-479b-4cf8-be6e-49affcd56ad7 · outbound

This paper cites Gaze-Assisted Medical Image Segmentation.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Gaze-Assisted Medical Image Segmentation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:24:31.791246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:31.068688Z digest=sha256:cdc11d40023abcb4603bffb9027b42de311437c0befc6b91caaf1cc456f84915

Observation 12bd4db1-17a6-43ce-a073-fb5487e9efb4 · outbound

This paper cites Gaze assistance for efficient segmentation correction of medical images.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Gaze assistance for efficient segmentation correction of medical images

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:24:32.162332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:31.197709Z digest=sha256:7f0e01a533111dcaa198e316e81466117228d309b6ab10d27eb1afa23678909e

Observation 08ce6757-385f-4f0a-8616-1d9db8bc1077 · outbound

This paper cites Word: A large scale dataset benchmark and clinical applicable study for abdomi- nal organ segmentation from ct image.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Word: A large scale dataset benchmark and clinical applicable study for abdomi- nal organ segmentation from ct image

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:24:32.020315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:31.346247Z digest=sha256:1b6457c58fae3d4d7c9ffdcea54843c728420433780a0fe596e7dbdab7f59d66

Observation 17a7ac06-a4fd-429a-92d6-d7ff20d9995c · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation SAM 2: Segment Anything in Images and Videos

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:31.470831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:31.470831Z digest=sha256:8d6efcb3a096793df8846f3b4ae96c3ab0c4de5abbfc9834b9390a28b7ecf7c3

Observation a1c29257-0772-473e-a5b8-4272fe5292e7 · outbound

This paper cites Ef- ficient semiautomatic segmentation of 3d objects in medical images.

Zero-Shot Gaze-based Volumetric Medical Image Segmentation Ef- ficient semiautomatic segmentation of 3d objects in medical images

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:24:31.937598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:24:31.579940Z digest=sha256:9e765ae56c91dc75aeb77d98d19001d9af78a3a166fff09b2d444d0da16faf3e

Pith citing papers

No inbound Pith citation observations are available.