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Paper Citation Record · LEDGER

ESA: Annotation-Efficient Active Learning for Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13491.

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

pith.paper-citation-record.v1
2408.13491 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:33.053447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.078025Z

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 7cb7746f-9ec0-4cb9-8d8b-e2c4ac40b900 · inbound

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation cites this paper.

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation ESA: Annotation-Efficient Active Learning for Semantic Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:33.053447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:33.053447Z digest=sha256:a8fceac135ebc28b897765fd8361e1838d0f217b73c0f1b244aa490dcb3f2f44

Observation 90ea67e6-cb26-49c4-b5ac-feed1af0e81b · inbound

Speeding up the annotation process in semantic segmentation industrial applications cites this paper.

Speeding up the annotation process in semantic segmentation industrial applications ESA: Annotation-Efficient Active Learning for Semantic Segmentation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.079717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:50:16.932588Z digest=sha256:696c468f4438204332feaccc365c7953cf3c25eabf46ae261725d24922524913