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Paper Citation Record · LEDGER

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.22743.

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

pith.paper-citation-record.v1
2607.22743 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:16:48.563259Z

measured 34 of 34 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

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c268eff-c1d4-47e0-9794-c1147ca332bb · outbound

This paper cites URLhttps://seer.cancer.gov/statfacts/html/ colorect.html.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation URLhttps://seer.cancer.gov/statfacts/html/ colorect.html

Reference 1

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source=pdf_text observed=2026-08-01T09:16:45.157122Z digest=sha256:94bc46ce13ba77343dc1bff065db88013ba58fb00039bc6f4088e2194ea3ec07

Observation 6c20e415-6233-4e3a-b90a-d161d152b628 · outbound

This paper cites Ronneberger, P.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Ronneberger, P

Reference 2

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source=pdf_text observed=2026-08-01T09:16:45.299736Z digest=sha256:16ce478b1c36d1f390dc7a4dd8c086fae99dedbda125e4c5575ca00f1b9e60a2

Observation 584da4a1-ac6f-4ec2-8601-3c2b7f5d502d · outbound

This paper cites Fan, G.-P.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Fan, G.-P

Reference 3

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no resolver link, observed 2026-08-01T09:16:45.407643Z

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source=pdf_text observed=2026-08-01T09:16:45.407643Z digest=sha256:138d7f6af4f3b32f83e848d1e4d9e3e26f105492f1722f7b16152e1b2f22d156

Observation 3718c670-52d4-4cad-8185-b0727d6d6ad2 · outbound

This paper cites HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

Reference 4

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source=pdf_text observed=2026-08-01T09:16:45.522051Z digest=sha256:ee028002aa313a347f01726912f121f118dfbdeb1602feee8265a7a989def770

Observation 3b951d60-a37f-4395-a092-ae54ae7f8405 · outbound

This paper cites McMahan, E.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation McMahan, E

Reference 5

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source=pdf_text observed=2026-08-01T09:16:45.613001Z digest=sha256:fbe04ba5dc79c9e10e2679541e52927395358edebbe8baf9fbbc27c5f16b89f1

Observation 4278bcf8-8cbb-4669-a979-48ca88074d9e · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

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source=pdf_text observed=2026-08-01T09:16:45.710835Z digest=sha256:77e76bc79238ae10e6ad27392312b26eed2051d71e0675920fde021015122e95

Observation f4156deb-8215-4aaa-aab2-e73ada429f29 · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 7

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verified exact
doi, observed 2026-08-01T09:18:28.662500Z

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=2026-08-01T09:16:45.810619Z digest=sha256:3aed41a7a7cb3f6e3c13c96e31ea464ee8fba147a912ba1c3e2d8ad9cb3b797b

Observation f6760697-642c-4719-b47e-5af9c5e4774f · outbound

This paper cites Reisizadeh, A.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Reisizadeh, A

Reference 8

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source=pdf_text observed=2026-08-01T09:16:45.975461Z digest=sha256:1ca65779cf4b25f762db476efc4e370038bc4cae9a7a8302feed6519cd260563

Observation 6e112bce-20c6-4553-9001-50cc3e5ffc20 · outbound

This paper cites Jacob, S.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Jacob, S

Reference 9

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source=pdf_text observed=2026-08-01T09:16:46.040245Z digest=sha256:06bf1cb4d14e31b48f0bcf25781fc17d006b79db9ff6702138236bdc97bd1162

Observation 67b83715-4bcc-4cb6-a0d6-8d5fa3d7d211 · outbound

This paper cites Ronneberger, P.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Ronneberger, P

Reference 10

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source=pdf_text observed=2026-08-01T09:16:46.108477Z digest=sha256:4e2870e52324379a41bee240712e0427496bd5e660c45b7f1a730e5c31482468

Observation fa6c559b-a9f1-4465-8fc1-aaacae15cad7 · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-01T09:16:46.163994Z digest=sha256:a709f6678d6d41212ea19ebf01d4cda16e1862fc13724e5cfbc7343b3cf14afd

Observation 59eb002f-bf25-47d5-9c81-41ff3fbe552b · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-01T09:16:46.221997Z digest=sha256:4208a0c9abd95775a4b27b5319cc76a41baa11909badb4957abcfbbc8d97d782

Observation 26069f1b-1458-4fd0-9b59-03704b7e5ae9 · outbound

This paper cites Fang, C.-W.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Fang, C.-W

Reference 13

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source=pdf_text observed=2026-08-01T09:16:46.293894Z digest=sha256:8fd146f93a0752a8846d6e61eaea4a8e8f080997d2b4f94b5cb7724e0d5e810a

Observation 9f93c7d7-d2fa-42c3-a73e-8b12e0c3f6e4 · outbound

This paper cites Fan, G.-P.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Fan, G.-P

Reference 14

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source=pdf_text observed=2026-08-01T09:16:46.347247Z digest=sha256:dff034802b93b1d80066a5bb4d532e142d273e833e297ad3df16a09fb4a192c9

Observation 45cfbc7c-465c-46d2-a5dd-6a02da00ee76 · outbound

This paper cites Zhang, G.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Zhang, G

Reference 15

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source=pdf_text observed=2026-08-01T09:16:46.392461Z digest=sha256:06993f98499cf4e9462562e47a8292926ed6ce6179fdaee22117bcea24cb5f18

Observation 91d169c2-b2c8-4a6f-8f5e-cacf61191d0f · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-01T09:16:46.419125Z digest=sha256:d685ee710f408730666329a7d72c23a62e7e5370003cd2d2415a5b62fcb909f6

Observation 7258e3d2-c666-4005-a682-84e22c519bf4 · outbound

This paper cites Rieke, J.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Rieke, J

Reference 17

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source=pdf_text observed=2026-08-01T09:16:46.532551Z digest=sha256:7722ba40217e8f3bea47af1db52c0f97c70a616b8afa8b111cd57bdf2f329a83

Observation 3d1da3b0-69a6-42f5-83bd-0e872eec1acd · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-01T09:16:46.700483Z digest=sha256:efb4bff618d357bef6493e4f655f2afa0a3553e997953b236fc869dfe6a40280

Observation 2ee9548f-1ffd-4304-8c3e-ac35e8828c4a · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-01T09:16:46.860944Z digest=sha256:8d22846d4676265c5c37f5380b6f11ab909f0a6cfda0d318546f308f26cb523a

Observation e1cdc6a1-1ce8-4243-83c2-be18e9ed87d4 · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-01T09:16:46.974860Z digest=sha256:6d2710ae2d08ab876449aaebcc7baa48e26a034e70f0f68b6a8439130907025e

Observation fcec0238-f2f8-4908-89b4-fca4bcb4ef40 · outbound

This paper cites Alistarh, D.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Alistarh, D

Reference 21

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source=pdf_text observed=2026-08-01T09:16:47.131643Z digest=sha256:d0d6aed6f6e7a1b09a486990c670650c4527f70f75d958655311f2a0635ac2a9

Observation e155d5fd-96a1-4738-9a94-e1b295a36a10 · outbound

This paper cites Bernstein, J.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Bernstein, J

Reference 22

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source=pdf_text observed=2026-08-01T09:16:47.215023Z digest=sha256:792156cecbbac84bb82e6b8236ef3589e974eeb49d2b92553093155552ddccbe

Observation 7f6dd9ff-fd3c-4ea7-96ba-db17f07b05f4 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 23

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source=pdf_text observed=2026-08-01T09:16:47.330488Z digest=sha256:28b5eae312f7b5558a67a26a6d8637af4e95b99da60e13678b66f36befbf8c48

Observation 196bad3b-ed78-4c7f-af17-07da6d2ad896 · outbound

This paper cites Jacob, S.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Jacob, S

Reference 24

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source=pdf_text observed=2026-08-01T09:16:47.450475Z digest=sha256:eca7f96ddb4aa9b412d1799b34cc279a32f2c077ca0d4e863649feca9707946d

Observation f64f0d76-a34f-4919-993d-f2fa142ddd1e · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-01T09:16:47.564405Z digest=sha256:ee04a885723cc69e0050483c74abf267b7d49d128d91b54b3eb7fad5ca499a5d

Observation 5af62afa-40a8-4174-9a8c-d05b162e8f35 · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-01T09:16:47.645661Z digest=sha256:8eb54d8ea0f90ffcacd9b5a9c541c45328046721197a8ff138491dbd7148f33c

Observation 2f927ea0-862e-4a6b-993b-339289b80ec7 · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-01T09:16:47.774999Z digest=sha256:f4bbece17ed3b3f6bc3b6ee3e35d0fb166176e78ff92586ac1a6cff67e7bc861

Observation bd313674-d95d-4e4b-9665-9c6b792b019d · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:16:47.899784Z digest=sha256:413fee0015a687a093ba6ea5870b9f76901e47f8ad489e84bdb1153347b12e6c

Observation 548cf924-0234-4047-aefc-12f1a9ae86d8 · outbound

This paper cites McMahan, E.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation McMahan, E

Reference 29

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source=pdf_text observed=2026-08-01T09:16:48.024840Z digest=sha256:58b23232bc0cc04c9cf146308e5fb738c4517cb457484a1717b714f6ab49bc26

Observation 488d7748-5339-451c-8f30-de37e8496749 · outbound

This paper cites Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

Reference 30

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source=pdf_text observed=2026-08-01T09:16:48.147738Z digest=sha256:9b281f804b8deb5cd395111cf8f30a33ceea9de9995a7c94e97b8c23da2407ab

Observation e15aa9e7-7769-43d5-a7c4-49d16b550b57 · outbound

This paper cites TGANet: Text-guided attention for improved polyp segmentation.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation TGANet: Text-guided attention for improved polyp segmentation

Reference 31

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source=pdf_text observed=2026-08-01T09:16:48.201105Z digest=sha256:c16af5e00346d71129765184db80bceb11c737ff21092da4a3178abe4ff5627a

Observation 27a9f52c-cc27-4e81-91d6-837061021ee2 · outbound

This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 32

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source=pdf_text observed=2026-08-01T09:16:48.235738Z digest=sha256:2cd72a1a7accfdcc53deab7727b477927ca24be982643694ad8548828924302b

Observation b6e65702-0f3c-4720-ad64-c8f6ae01ee6a · outbound

This paper cites an unresolved cited work.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T09:16:48.440945Z digest=sha256:0795bdea1d53f06d58c5ef0f33da440ca2dea41832496aa964ca1cfcceeac28f

Observation f6a36ebe-4988-4c63-86e3-040ad5d17dfb · outbound

This paper cites Stelter, V.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Stelter, V

Reference 34

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source=pdf_text observed=2026-08-01T09:16:48.563259Z digest=sha256:200c57e15a09c513ffbf548245ee28a26dd977dcf6df7aa2880bbb2b5ced0105

Pith citing papers

No inbound Pith citation observations are available.