Pith. sign in

Paper Citation Record · LEDGER

Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.00583.

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

pith.paper-citation-record.v1
1807.00583 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:17:46.952466Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:04:25.779559Z

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 1f1afc23-fdb0-4d4e-b5ae-3635e769800f · inbound

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net cites this paper.

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:04:25.785589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T15:04:25.620151Z digest=sha256:defbaae5d245cdfc74c241ead1467a109f91569a126e173d751d9021dbf6d162

Observation 186b9b7e-eeff-4f40-aa0d-af06ff9ca220 · inbound

Self-Supervised Learning for Image Segmentation: A Comprehensive Survey cites this paper.

Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T20:17:46.952466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:17:46.952466Z digest=sha256:9ab523c59579c14f7a2e8de2d5a05d3099a388d63cd81d85b4d7cf3c3c6a4874