Paper Citation Record · LEDGER

CellPilot: A unified approach to automatic and interactive segmentation in histopathology

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2411.15514.

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

pith.paper-citation-record.v1
2411.15514 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:15:25.617831Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:15:25.500977Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:15:25.657459Z

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy25
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79190ffe-151b-4d7a-970d-74dae1488ed6 · outbound

This paper cites The seg- mentation of cells and glands in tissue allows for the analy- sis of shape and frequency, which can be indicators of dis- ease.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology The seg- mentation of cells and glands in tissue allows for the analy- sis of shape and frequency, which can be indicators of dis- ease

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:26.022629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation abd7ae66-4c00-4301-ace3-bec804264e00 · outbound

This paper cites Method The CellPilot framework consists of a combination of a fine- tuned version of SAM and CellViT (figure 1a).

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Method The CellPilot framework consists of a combination of a fine- tuned version of SAM and CellViT (figure 1a)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.997318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f26f6e4-799d-41b6-a34b-8b2acac6151c · outbound

This paper cites an unresolved cited work.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:15:26.011559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f20b670-f598-4f67-baa0-9a3aba138b12 · outbound

This paper cites Ethical ap- proval was not required as confirmed by the license attached with the open access data.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Ethical ap- proval was not required as confirmed by the license attached with the open access data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.969382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b2d5c60-c906-4186-86b7-455afa960fd6 · outbound

This paper cites an unresolved cited work.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:15:25.984058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 496dc42a-2e80-447f-91a2-9a714ce1beb2 · outbound

This paper cites CellPilot: A unified approach to automatic and interactive segmentation in histopathology.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology CellPilot: A unified approach to automatic and interactive segmentation in histopathology

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:15:25.664001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d0e4964-7f7c-404a-9e64-b61cf3b24a99 · outbound

This paper cites Munich School for Data Science - MUDS.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Munich School for Data Science - MUDS

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.955244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 37c9f97b-e440-41da-9edf-6891165e4167 · outbound

This paper cites Cellvit: Vision transformers for precise cell segmentation and classification,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Cellvit: Vision transformers for precise cell segmentation and classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.943064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5cfa068-56ad-4341-951c-41c2f268aa37 · outbound

This paper cites Segment anything,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Segment anything,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.928922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07b865bf-6d11-45c1-87ba-568656a76955 · outbound

This paper cites Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.916420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b03699d4-f9fd-496a-8555-1f6f6e79de52 · outbound

This paper cites Segment anything in medical images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Segment anything in medical images,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:25.541152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a174b4-0745-4b9e-ab02-f43a1dc4774d · outbound

This paper cites Customized segment anything model for medical image segmentation,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Customized segment anything model for medical image segmentation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:25.545365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa1538f-d649-4e4a-bc15-7c6343bf1f3b · outbound

This paper cites Sam-path: A segment anything model for semantic segmentation in digital pathology,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Sam-path: A segment anything model for semantic segmentation in digital pathology,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.888363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da8a75af-aa08-45cb-bc9c-66341ce8c9a5 · outbound

This paper cites Evaluation and improvement of segment anything model for interactive histopathology image segmentation,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Evaluation and improvement of segment anything model for interactive histopathology image segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.878081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06cb2c0b-87ad-4aa4-8f0d-a39b04db4a83 · outbound

This paper cites Simpleclick: Interactive image segmenta- tion with simple vision transformers,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Simpleclick: Interactive image segmenta- tion with simple vision transformers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.868346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9662b0ab-68e4-47a4-b3f9-7c3081eee794 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Lora: Low-rank adaptation of large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.857776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3815b2f3-69bb-4f2d-8d76-fb0245dbafdd · outbound

This paper cites The road less scheduled,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology The road less scheduled,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.846846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c339a9fc-6599-452b-b9d7-4573179fda29 · outbound

This paper cites Albumentations: Fast and flex- ible image augmentations,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Albumentations: Fast and flex- ible image augmentations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.833220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4794eef3-ade1-4123-a2f8-342a9d513193 · outbound

This paper cites Conic: Colon nuclei identifica- tion and counting challenge 2022,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Conic: Colon nuclei identifica- tion and counting challenge 2022,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.820788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10a226f5-b6c1-42a4-8340-205cb3d46246 · outbound

This paper cites Nuclick: A deep learning framework for interactive segmentation of mi- croscopy images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Nuclick: A deep learning framework for interactive segmentation of mi- croscopy images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.809173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57f2c2fb-1ad2-45d5-b5d4-a2f36f707b2c · outbound

This paper cites Segpc-2021: A challenge & dataset on segmentation of multiple myeloma plasma cells from microscopic images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Segpc-2021: A challenge & dataset on segmentation of multiple myeloma plasma cells from microscopic images,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.797552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0afc363-9d51-42b3-a125-9265dc8730bb · outbound

This paper cites Gland segmentation in colon histology images: The glas challenge contest,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Gland segmentation in colon histology images: The glas challenge contest,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.786183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a06f1ce2-bf9f-4eba-b9d9-781fdb67787f · outbound

This paper cites Use Case 1: Nuclei Segmentation - Andrew Janowczyk,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Use Case 1: Nuclei Segmentation - Andrew Janowczyk,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.774331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa2d75ec-2ff0-4781-b504-49d98f1cf0d0 · outbound

This paper cites Methods for Segmentation and Classification of Digital Microscopy Tissue Images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Methods for Segmentation and Classification of Digital Microscopy Tissue Images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.762621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85563476-2007-43fb-9455-3fa41627b221 · outbound

This paper cites PAIP 2023: TC prediction in pancreatic and colon cancer - Grand Chal- lenge,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology PAIP 2023: TC prediction in pancreatic and colon cancer - Grand Chal- lenge,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.749431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eba43288-1d63-40f3-af66-a81b785c80b4 · outbound

This paper cites Cryonuseg: A dataset for nuclei instance segmentation of cryosectioned h&e- stained histological images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology Cryonuseg: A dataset for nuclei instance segmentation of cryosectioned h&e- stained histological images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.737131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01d63173-9d28-45de-ae99-2c11704d8a70 · outbound

This paper cites A Dataset and a Technique for Generalized Nuclear Seg- mentation for Computational Pathology,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology A Dataset and a Technique for Generalized Nuclear Seg- mentation for Computational Pathology,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.723572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5882b801-4bea-4e7b-83c5-1700390a4515 · outbound

This paper cites The multi-modality cell segmentation challenge: Towards universal solutions,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology The multi-modality cell segmentation challenge: Towards universal solutions,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.709966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18fd4175-9287-4c38-9da1-b3d0395d6558 · outbound

This paper cites MoNuSAC2020: A Multi- Organ Nuclei Segmentation and Classification Chal- lenge,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology MoNuSAC2020: A Multi- Organ Nuclei Segmentation and Classification Chal- lenge,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.695645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0c045a3-f6ee-491e-a816-559b7e57e56f · outbound

This paper cites MILD-Net: Minimal informa- tion loss dilated network for gland instance segmenta- tion in colon histology images,.

CellPilot: A unified approach to automatic and interactive segmentation in histopathology MILD-Net: Minimal informa- tion loss dilated network for gland instance segmenta- tion in colon histology images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:25.681709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 496dc42a-2e80-447f-91a2-9a714ce1beb2 · inbound