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Paper Citation Record · LEDGER

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.12068.

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

pith.paper-citation-record.v1
2503.12068 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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:31:15.426663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

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 7f319f44-d810-473b-8c90-3bdaf6bf3ef9 · inbound

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance cites this paper.

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:47:02.356514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:47:02.356514Z digest=sha256:a9fdd7c66597a956a7602ddd036f03c61c8618518632e159ce5925b7a09fb625

Observation 4a208db5-99c6-4414-a200-3d6d7d3d2628 · inbound

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology cites this paper.

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:09:27.908713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T06:45:22.267523Z digest=sha256:1dc467b250d7fa8b5615c92d81cac055e098c1ee76cfa7e981f9d63f9f79c86b

Observation 5debe94f-c50b-4e91-84be-67623608f325 · inbound

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation cites this paper.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T00:31:15.426663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.426663Z digest=sha256:2c754ee2d0359a86959a2ef19857a979fe292f5b170d3eaec386282d1f8b226a