Paper Citation Record · LEDGER

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.04107.

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

pith.paper-citation-record.v1
2509.04107 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:26:02.338236Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44ffa449-ba31-4298-9971-3014bb957658 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.697268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bfb9886-d42a-435e-9808-f5ecc1e2cea3 · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity ImageNet: A large-scale hierarchical image database,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.687165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8d374c3-0d86-4356-9415-2d93a8c0c4c4 · outbound

This paper cites Enhancing generalisation in federated learning with heterogeneous data: A comparative literature review,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Enhancing generalisation in federated learning with heterogeneous data: A comparative literature review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.676862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cf8c2d7-b1b8-472a-acd1-0e9c4fe96f7e · outbound

This paper cites Federated learning on non-IID data: A survey,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated learning on non-IID data: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.665743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6aeb4da9-e877-453a-b88c-8214de54431b · outbound

This paper cites Communication-efficient learning of deep networks from decentralised data,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Communication-efficient learning of deep networks from decentralised data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.655829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5bbd5c19-7347-4030-914f-28ecf574b59b · outbound

This paper cites Federated minimax optimisation: Improved convergence analyses and algorithms,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated minimax optimisation: Improved convergence analyses and algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.645416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fef0e108-174c-4d3e-a449-a4a8b0b64c41 · outbound

This paper cites SCAFFOLD: Stochastic Controlled Averaging for Federated Learning.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:02.260005Z

Source-reported events for the cited work

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Observation be5eb037-7f2d-4126-a26b-fc9bfc336729 · outbound

This paper cites Model-contrastive federated learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Model-contrastive federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.635067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67f4609f-a43b-4000-a770-b38bdd754e9c · outbound

This paper cites Relaxed contrastive learning for federated learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Relaxed contrastive learning for federated learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.625519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93a21675-881a-43e3-8229-4de80fc47875 · outbound

This paper cites Learning multiple layers of features from tiny images,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Learning multiple layers of features from tiny images,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:02.270532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e770ee-435c-4779-8e59-7b7a192f629b · outbound

This paper cites Supervised contrastive learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Supervised contrastive learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.600032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0121ad8d-8dd6-407e-9f10-9f203047fb27 · outbound

This paper cites Deep metric learning using triplet network,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Deep metric learning using triplet network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.590369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abdb6728-c437-4698-9432-395154a73682 · outbound

This paper cites Beyond triplet loss: A deep quadruplet network for person re-identification,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Beyond triplet loss: A deep quadruplet network for person re-identification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.580790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10d99bb8-0bb7-4030-97a3-465b3f1b6477 · outbound

This paper cites Hard negative examples are hard, but useful,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Hard negative examples are hard, but useful,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.570760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db56fa69-3d4e-4138-a7a7-e793e39cc8b1 · outbound

This paper cites Federated learning with metric loss,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated learning with metric loss,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.561039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bed79454-3294-4d94-a986-4cc391a5f3bd · outbound

This paper cites Privacy-preserving and robust federated deep metric learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Privacy-preserving and robust federated deep metric learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.551247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d365011a-adfa-44aa-a86f-68d3176f5332 · outbound

This paper cites Defending against adversarial attacks in federated learning on metric learning model,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Defending against adversarial attacks in federated learning on metric learning model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.541192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f520d7dc-6408-4ab5-b149-d9bbbb1ecc9d · outbound

This paper cites Privacy preserving palmprint recognition via federated metric learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Privacy preserving palmprint recognition via federated metric learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.530605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 085c3050-dd21-459f-b3fa-c076ac26386f · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Feddc: Federated learning with non-iid data via local drift decoupling and correction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.521100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 981b63d9-dce4-4062-a089-c9ffa4a07ca2 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated Learning Based on Dynamic Regularization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:02.307748Z

Source-reported events for the cited work

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Observation fa9208b2-c14c-45a8-894b-544ef868bf22 · outbound

This paper cites Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.510291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec219701-de45-49f4-b91c-71ca0b071718 · outbound

This paper cites Fedproc: Prototypical contrastive federated learning on non-iid data,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Fedproc: Prototypical contrastive federated learning on non-iid data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.499935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96db4629-f598-4754-9762-7c0f8713df0f · outbound

This paper cites FedCRL: Personalized federated learning with contrastive shared representations for label heterogeneity in non-IID data,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity FedCRL: Personalized federated learning with contrastive shared representations for label heterogeneity in non-IID data,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:02.318436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a592ce-ad46-4771-95bd-01dd96288a57 · outbound

This paper cites Federated learning from pre-trained models: A contrastive learning approach,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated learning from pre-trained models: A contrastive learning approach,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.489634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b10c32d-4f3e-4de8-b518-4131358d4250 · outbound

This paper cites FedTrip: A resource-efficient federated learning method with triplet regularization,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity FedTrip: A resource-efficient federated learning method with triplet regularization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.478745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0713b4a7-079e-4c81-8586-884b3ece9694 · outbound

This paper cites A Mutual Information Perspective on Federated Contrastive Learning.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity A Mutual Information Perspective on Federated Contrastive Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:02.327940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c7b37c-997a-4a46-906a-e7428b517904 · outbound

This paper cites Federated contrastive learning for decentral- ized unlabeled medical images,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated contrastive learning for decentral- ized unlabeled medical images,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.467932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 111a7d47-0a62-4e4c-9aaa-96d4dbe1d85e · outbound

This paper cites Local learning matters: Rethinking data heterogeneity in federated learning,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Local learning matters: Rethinking data heterogeneity in federated learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.456861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12bbd9e5-1ff2-4fff-a93e-287703923192 · outbound

This paper cites Tackling data heterogeneity in federated learning with class prototypes,.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Tackling data heterogeneity in federated learning with class prototypes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:02.609339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.