Pith. sign in

Paper Citation Record · LEDGER

Generalized Category Discovery in Semantic Segmentation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.11525.

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

pith.paper-citation-record.v1
2311.11525 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:42.909985Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:10.421842Z

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 e14c70ae-d6f5-40b2-8cdb-d491b4a1d3e0 · inbound

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation cites this paper.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Generalized Category Discovery in Semantic Segmentation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.425406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:f24474f3e6848a432182c24d56b8be1bb6bd45af1eff345682ce7cb3c3d43c27

Observation a7db8ea4-e751-411e-82e1-04847be97fdb · inbound

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR cites this paper.

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Generalized Category Discovery in Semantic Segmentation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:56:42.909985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:42.909985Z digest=sha256:bf3c650227e5e27151b77d6c696b4964a99c499c2851daef7ea76a0b4a085bcb