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Paper Citation Record · LEDGER

Reinforced active learning for image segmentation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.06583.

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

pith.paper-citation-record.v1
2002.06583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:40:06.552551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:56:01.035596Z

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 ab8f13d4-41ea-40c6-b385-dab2f3101492 · inbound

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation cites this paper.

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation Reinforced active learning for image segmentation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T19:40:06.552551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:40:06.552551Z digest=sha256:e8066456cf5faea6b684aa08465868927b7b2bd6dcc10b68faaa46c7860864ec

Observation ac3e3f6f-1b71-4a2e-9ba8-70f7d9bd311b · inbound

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities cites this paper.

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities Reinforced active learning for image segmentation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:13:07.751812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:13:07.751812Z digest=sha256:417e30fb2582fb48a30d7fa8ba4104d1546adac39a0e1ffee0e2c65767d4660f

Observation 5790fedb-1d2f-493b-84d6-e829b198ecec · inbound

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field cites this paper.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Reinforced active learning for image segmentation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:53:46.665806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:46.665806Z digest=sha256:4c8ddbc76205dfcfe57e6acbd92623fbedab0f76334621a3b642d1c9bd0d421c

Observation ea018fe2-c24d-4476-bff1-f85d961d6e32 · inbound

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning cites this paper.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Reinforced active learning for image segmentation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:01.043420Z

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=2026-05-10T16:25:10.761237Z digest=sha256:9837ab5490b77171cb97a1d142e0d63ca6f2ec8966398c33be56df396a7fe633