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Paper Citation Record · LEDGER

Exploring Simple Open-Vocabulary Semantic Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.12217.

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

pith.paper-citation-record.v1
2401.12217 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:01:00.108557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:37:08.789052Z

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 2b8d6b9b-e996-419f-a198-aa5a44835323 · inbound

FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation cites this paper.

FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation Exploring Simple Open-Vocabulary Semantic Segmentation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:37:08.790954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T07:36:10.528195Z digest=sha256:acbb317c0f27f1df641b5f941e263363e2ee116033e17f0d3a9dd4a013586e9a

Observation 4226ce3c-a617-4c06-b7a4-cdb0e98e0a0f · inbound

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation cites this paper.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation Exploring Simple Open-Vocabulary Semantic Segmentation

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:00.108557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:00.108557Z digest=sha256:97dc4de808ff990dfcfa468c5fd3134e78d10944be462802863aa338e69646ad