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Paper Citation Record · LEDGER

Capsules for Object Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1804.04241.

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

pith.paper-citation-record.v1
1804.04241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:11:54.486661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T21:46:24.393112Z

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 35845e73-99f8-47d8-9817-df029fdf8e0a · inbound

Understanding Deep Learning Techniques for Image Segmentation cites this paper.

Understanding Deep Learning Techniques for Image Segmentation Capsules for Object Segmentation

Reference 108

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:46:24.396573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T21:46:17.736097Z digest=sha256:61a58a776447aefe1d48bef1343c02ffbac7820b1cda87a9ce91d29cbe9a2572

Observation a70b7fc2-e3af-4410-a553-0058dc6d8a84 · inbound

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation cites this paper.

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation Capsules for Object Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T14:11:54.486661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:11:54.486661Z digest=sha256:9ec0e6ccb0b6caf4287133d3b29ed5dabc204f8e2bb9ea2d6c7b4692e0fe4ed1

Observation d0c5cf80-aa11-440a-b325-b3b82a7502d4 · inbound

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review cites this paper.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Capsules for Object Segmentation

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-05T15:07:54.633561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:07:54.633561Z digest=sha256:38f26432b28b0a281ac055aa1791c05684d8feeb79f1a79181d6b3967df9c41f