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Paper Citation Record · LEDGER

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.18078.

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

pith.paper-citation-record.v1
2405.18078 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:10.104363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:51:01.811745Z

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 f6c6f9d7-edc0-4a0d-b90b-87b027528c45 · 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 Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:10.104363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:10.104363Z digest=sha256:e849818a07ee6ee4407a506b620bbeeb92bdd0e7ff7eacdfb7aa405d029f88c5

Observation f7fcefa1-5328-4232-9fc4-65100b58cbb0 · 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 Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:29.053860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:29.053860Z digest=sha256:2deb0f70ed7de95eceb8f1866320d2490eef1f92e6063f6f0073ebcae8403bc0

Observation 365574ec-d2cb-4db1-9cb0-c5b0cdda45f2 · 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 Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:24:31.389645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:24:31.389645Z digest=sha256:b27d35ace4f7ac901fa95731ff06d1ad620a869ee1dc6f3524a02cf919b2e9e2

Observation 86c9d62b-bc83-47ce-aaf9-137883ad6a9c · inbound

Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation cites this paper.

Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:51:01.813436Z

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=2026-05-10T16:55:52.851517Z digest=sha256:435f651850d1cf8be20ea38985cff422273b2f86002e79cb253d7fc094dd11a0

Observation 2860f3ab-5cea-41f0-840f-f2d73964f7e7 · inbound

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning cites this paper.

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T15:16:35.961854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:16:35.961854Z digest=sha256:b53ac9d6c7701888cc0632c101d5663047caa303a0db89788119b2a91a91d7ef