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Paper Citation Record · LEDGER

Capsules for Object Segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:33.393820Z

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T21:46:17.736097Z digest=sha256:f6d965d57452efc175de56388b38f80202baecfcd195dd68613bad7faaed2529

Observation 1ea86f81-e6f3-4781-b925-0d87d2d8a7b8 · inbound

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features cites this paper.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Capsules for Object Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T15:44:59.423182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:44:59.423182Z digest=sha256:f871b3fa3f140b3f844fb252ee5e76c16b66261173850a5e0f4e3f15e08f0129

Observation 43c981bf-603a-492d-8276-a2ebd7be77b9 · inbound

Weakly Supervised Segmentation by A Deep Geodesic Prior cites this paper.

Weakly Supervised Segmentation by A Deep Geodesic Prior Capsules for Object Segmentation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T12:47:56.174468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:47:56.174468Z digest=sha256:bf3474518c969118ccbeadd8b695a0a06ede18e07740c15480d43f310be12ecd

Observation 251a2586-c2ff-4ea5-a8c6-7a31cd7b71ec · inbound

Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules cites this paper.

Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules Capsules for Object Segmentation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T10:32:57.658941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:32:57.658941Z digest=sha256:0060b1fed79e7075c7865ef18ed98e11315b893af4a740f4236a7f6a8f072e1a

Observation 9e0464bf-c1d6-4404-af7e-9ad0c58ea88e · inbound

Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping cites this paper.

Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Capsules for Object Segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:18.602493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:18.602493Z digest=sha256:d2b44c8a2de58c5ba8a012fd88f5bcaa7c520e2072c96948307d7ae9d1abd40a

Observation 9cbe1d89-14d7-4244-8395-2f2c4b238260 · inbound

The Convergence of Dynamic Routing between Capsules cites this paper.

The Convergence of Dynamic Routing between Capsules Capsules for Object Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:40:26.669973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:40:26.669973Z digest=sha256:8dd7560bdb171941184538f03804367ab374ce56040a5f3d9319c02da552fee5

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:c9e12627df321677244fbfd38133b70a502c1835c0be1f3ae934fe36e62f3bd3

Observation 5e296a33-4a8e-4c8d-9969-7d200affbdca · inbound

Object Learning and Robust 3D Reconstruction cites this paper.

Object Learning and Robust 3D Reconstruction Capsules for Object Segmentation

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T11:12:33.393820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:12:33.393820Z digest=sha256:19fbce102d49e006512fe70489be342783747977f8545679451d51005ee199d5

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:b19cad18484b105acc36914888b6832d5f852918837300d381e1d43c477fd8d4