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Paper Citation Record · LEDGER

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19568.

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

pith.paper-citation-record.v1
2405.19568 v1

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:10.323725Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:24:33.453657Z

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 c517f99f-995f-4cbd-a918-191baac49765 · inbound

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation cites this paper.

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:10.323725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:10.323725Z digest=sha256:f7847307a75e5ad520ea3a4d9f4abc932aff1a8d4dce9ed2a31b88a7a18419e2

Observation a49b356a-45c1-447c-9d70-f3fd215cc061 · inbound

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation cites this paper.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:29.047961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:29.047961Z digest=sha256:9109de5131e9757591d1d5e0675d1ea3d1624e84270bece83cdf994ac913df6f

Observation 2546b220-4317-4c2f-b47e-4d49d99d16e7 · inbound

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control cites this paper.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:24:33.519154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:24:31.358348Z digest=sha256:ce74e863ec079ea4b66933fa4ddd830e38fb737bee30ca45dabd16b7d0b99eed