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Paper Citation Record · LEDGER

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2509.02630.

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

pith.paper-citation-record.v1
2509.02630 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:22:41.637504Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 566d4f35-a83e-4863-adf0-99808d57f371 · outbound

This paper cites The 1000 mitoses project: A Consensus-Based international collaborative study on mitotic figures classification.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection The 1000 mitoses project: A Consensus-Based international collaborative study on mitotic figures classification

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:22:41.720315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.615947Z digest=sha256:6e7b370831b2d093680ed314f1e6203ccb61a2d5c7e31c971270ee057599aecb

Observation fce827e2-2b62-4cf1-87a7-293867432db8 · outbound

This paper cites Mitosis domain generalization in histopathology images -- The MIDOG challenge.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Mitosis domain generalization in histopathology images -- The MIDOG challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T12:22:41.618951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:22:41.618951Z digest=sha256:58682104c5a1a60b2dd4090639d1361b658b4357a1ee2a54b9f8dc848d637013

Observation 19bd3743-74a6-4b3a-af0f-d446765e648a · outbound

This paper cites Mitosis domain generalization challenge 2022.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Mitosis domain generalization challenge 2022

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:22:41.712385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.621778Z digest=sha256:1b981129b82e59c3f9ac4186555e689751dcd4511597c03fa036dec9d1d6267d

Observation c0a26483-851e-437c-99a4-8993395cb8f3 · outbound

This paper cites RandStainNA: Learning Stain- Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normaliza- tion, page 212–221.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection RandStainNA: Learning Stain- Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normaliza- tion, page 212–221

Reference 4

Resolution
verified exact
doi, observed 2026-08-05T12:22:41.660208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.627247Z digest=sha256:90874c7d8680dd97204c4ce9df5788c0d077e50487e4c62b1783df2803f56d7a

Observation d8eca77e-f639-4f3b-9ee5-b619c5f99f4d · outbound

This paper cites Weinberger.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Weinberger

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:22:41.704596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.630043Z digest=sha256:72904a2375454c35028a9abc951d80d0c0bf1f6cd3be23a056f53b6ba4e8a3df

Observation bd04a96c-2609-44a7-8739-01030f154ce1 · outbound

This paper cites an unresolved cited work.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:22:41.696436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.632491Z digest=sha256:0e320d3d2b9ab6f64d79f2bf45c9f5f6fe0a9aaba887f0aba2da2d75e434b58f

Observation b2e6273b-87bd-4661-aa8f-cc7f0632acbe · outbound

This paper cites Inception-v4, inception- resnet and the impact of residual connections on learning, 2016.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Inception-v4, inception- resnet and the impact of residual connections on learning, 2016

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:22:41.688509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.635115Z digest=sha256:f3fe6797ef0f8467770dc2e03c24c21aa5477a0c7b5cdb593f9fea6fe0d73c22

Observation 2810fc4b-1b24-4a45-ba55-76a654c2df9a · outbound

This paper cites Distilling the knowledge in a neural network, 2015.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Distilling the knowledge in a neural network, 2015

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:22:41.680839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:22:41.637504Z digest=sha256:a16d83eb59ec9e714c906d5a41e4fa6611ece098fcc7c08c1504ee16da768b44

Observation d4b59ac3-dd6d-49dc-9462-0cf4b18a4f1f · outbound

This paper cites an unresolved cited work.

Challenges and Lessons from MIDOG 2025: A Two-Stage Approach to Domain-Robust Mitotic Figure Detection Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T12:22:41.624756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:22:41.624756Z digest=sha256:39a089ee70004335e90741b523fc7038f452c8aea97d0cdac9612a86ada1d7dd

Pith citing papers

No inbound Pith citation observations are available.