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Paper Citation Record · LEDGER

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.15942.

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

pith.paper-citation-record.v1
2411.15942 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:45:45.352886Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db51dbe8-1e07-4f66-bd39-08d6a9a3e756 · outbound

This paper cites Allergic rhinitis,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Allergic rhinitis,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.684864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.297873Z digest=sha256:bd2a3e349c13dbde02ef70d6afdfd177d71e8b4b65fe08f86450425d208930b0

Observation eb36347f-bc41-4e3f-bb69-3fc02e3a75db · outbound

This paper cites Eosinophilic patterns in patients with seasonal allergy affected by bronchial asthma and rhinitis/rhinosinusitis: Efficacy of benralizumab in patients with the persistent pattern,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Eosinophilic patterns in patients with seasonal allergy affected by bronchial asthma and rhinitis/rhinosinusitis: Efficacy of benralizumab in patients with the persistent pattern,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.672471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.302061Z digest=sha256:1d79bd22000aacb533d1289105faf07451f1d4d7105e0ecb6c5823822e9b8b9d

Observation 0cbdfd84-604f-4cca-98dc-b26015b0c3cd · outbound

This paper cites Mechanisms and comparative treatments of allergic rhinitis including phototherapy,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Mechanisms and comparative treatments of allergic rhinitis including phototherapy,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.660040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.305727Z digest=sha256:237db7edcc665e6e08c6cd33122b28543b14dd304532746a5221237972b18d8c

Observation 9b78df67-1e87-43f4-9d0a-c842a594289b · outbound

This paper cites Eosinophil degran- ulation status in allergic rhinitis: observations before and during seasonal allergen exposure,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Eosinophil degran- ulation status in allergic rhinitis: observations before and during seasonal allergen exposure,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.647848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.309087Z digest=sha256:acbabca56624e06bf910bd4efc2982c0ca2596ed0cd5443110b3e121b8fc13d5

Observation 6aa6028e-83a5-4d46-b4db-fb5f69cda418 · outbound

This paper cites Patients with allergic rhinitis and allergic asthma share the same pattern of eosinophil and neutrophil degranulation after allergen challenge,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Patients with allergic rhinitis and allergic asthma share the same pattern of eosinophil and neutrophil degranulation after allergen challenge,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.635757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.312632Z digest=sha256:c816a077e731f53e84d81fe1304f759d45b40287af161216189bc80cc1e190f5

Observation 1bd3d3b1-f0c2-4d3f-afcc-158c7375a46e · outbound

This paper cites Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.623784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.316541Z digest=sha256:1bdd598a097ac0410fc2f71aa506183a6554a13c85e03c7a46e02ad5f4bf584b

Observation f6c94dc7-e84e-49bd-a91c-87acf542dcd0 · outbound

This paper cites PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:45:45.537955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.320132Z digest=sha256:6fcb3cb79c68622227f547536229e6868605e41fa2e4763865c7d6e289e21573

Observation 34e43dd9-ddb2-494c-8e38-08b54d34a9c4 · outbound

This paper cites Circlenet: Anchor-free glomerulus detection with circle representation,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Circlenet: Anchor-free glomerulus detection with circle representation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.611805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.324004Z digest=sha256:5468ad3349f4c159d5c10e6bf479f2fca2ae0bdb65c3a822561229820a568205

Observation 3bddc4cb-1806-46fb-81e9-32638556c7a4 · outbound

This paper cites Circle representation for medical object detection,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Circle representation for medical object detection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.599607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.327661Z digest=sha256:e1738617d5aa038107f8b10eaa937c3f8c5b46ff0bc42cf32d981a2ec19e0e31

Observation 31b8e17a-89e9-4506-8f34-19ecb5c0479a · outbound

This paper cites Circlesnake: Instance segmentation with circle representation,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Circlesnake: Instance segmentation with circle representation,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:45:45.331278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:45:45.331278Z digest=sha256:d27f6a12a3f4cc09ef6b5156fe54f68df0131658cebb5f86309bdcd12ed09900

Observation c4e3e80d-8e7d-4b70-85f8-f458f1772d46 · outbound

This paper cites Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:45:45.400599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.334573Z digest=sha256:a967dd1eb56722b32fc0c5c7d55877526b773cf4216a320d3e6b211eaa9190fd

Observation 69617f44-e071-4bab-b647-af8bf0883bdb · outbound

This paper cites Objects as Points.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Objects as Points

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T13:45:45.338343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:45:45.338343Z digest=sha256:ff26f02c7b4ac0f7b7c19ed69b1ccefc33ba5911ff1351162f5d5a60cdfb5067

Observation 34d05fb7-3d04-4fb0-bbdf-8e8ac1e04243 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Cornernet: Detecting objects as paired keypoints,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.587086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.342096Z digest=sha256:726f078b2f298ed7b017d183d610a68fbefac3f5f74187f8b79417193b227a41

Observation ff35300b-9a88-4d9d-a5e0-b5d8d0f09dad · outbound

This paper cites Focal loss for dense object detection,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Focal loss for dense object detection,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.574973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.345827Z digest=sha256:89f48316b65a5729512dc0d457e9ac67717566b5ed67eca04e3b1bfab4bf4b47

Observation 0758a8a0-b17e-4a31-9378-13ceabb9e325 · outbound

This paper cites Deep snake for real-time instance segmentation,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Deep snake for real-time instance segmentation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.562293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.349401Z digest=sha256:f66018c9a52eef57d95d7550aeea653e05d29032ba4517dbbb33712351d7b891

Observation fbe3d296-8fc3-49a1-b66e-9776153aee4c · outbound

This paper cites Fully automatic liver attenuation estimation combining cnn segmentation and morphological operations,.

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation Fully automatic liver attenuation estimation combining cnn segmentation and morphological operations,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:45:45.550346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T13:45:45.352886Z digest=sha256:ebfab5b5f0cea7689e3b7819da04bcc226874af554f72b01a3f66c2d6e388f24

Pith citing papers

No inbound Pith citation observations are available.