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Paper Citation Record · LEDGER

InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.15954.

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

pith.paper-citation-record.v1
2408.15954 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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:14:07.966333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:12:34.401481Z

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 c77abe24-e85e-4a04-9e2e-55b170b6e8ab · inbound

Segment Anything for Histopathology cites this paper.

Segment Anything for Histopathology InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T19:14:07.966333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:14:07.966333Z digest=sha256:22d72a4d6a8130af48085a7e3fa15b7cab3c11cdb18cdca287e4b4974a6ee4ce

Observation 1c6f98f7-b708-4ad7-91b5-bf6ae1e74e45 · inbound

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation cites this paper.

CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T13:15:03.262130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:15:03.262130Z digest=sha256:7d62fdac1d6a6579802815234042228b83993d20371b50efdd2bf35d9a459741

Observation 8289a410-f837-4d29-ba45-b4d2b5f92499 · inbound

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space cites this paper.

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:12:34.402888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T19:11:37.076972Z digest=sha256:f161912bece4f16fd3dd53d3317b95a879b3804c2b77ecd84a43b98614669e4a