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Paper Citation Record · LEDGER

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.14757.

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

pith.paper-citation-record.v1
2112.14757 v2

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:24.445011Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:50:23.619666Z

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 30f20f27-6e28-4288-9183-b534cf794ff0 · inbound

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding cites this paper.

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:24.445011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:24.445011Z digest=sha256:0c95601eb28310410961f31c27af6419b205c6b48dc07180a40cb287cfb331a1

Observation 5cae8e16-119c-41ca-bde5-438a2cb4e53d · inbound

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation cites this paper.

Using Sign Language Production as Data Augmentation to enhance Sign Language Translation A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:50.731164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:50.731164Z digest=sha256:0b223af658fa13822da22ef4f2ef6469b36fca1058320f4c376e0b2c1983dc03

Observation 17813763-b4c7-4cc1-a2ea-c59571aa80ca · inbound

Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation cites this paper.

Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:50:23.626640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:23.536291Z digest=sha256:5412336738263604b200e38180d91cfe52cdb2dcca1b7dbce15610a645991f37