Paper Citation Record · LEDGER

SPIRE: Conditional Personalization for Federated Diffusion Generative Models

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.12303.

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

pith.paper-citation-record.v1
2506.12303 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:59.816337Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 exact0
verified fuzzy27
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ff998f7-92e5-437a-945c-6586e0c8efdb · outbound

This paper cites Debiasing model updates for improving personalized federated training.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Debiasing model updates for improving personalized federated training

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:05.305250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 934215b7-6a5e-4390-bf2d-63eaf57b5aa9 · outbound

This paper cites Sutherland, Michael Arbel, and Arthur Gretton.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Sutherland, Michael Arbel, and Arthur Gretton

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:05.118432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0adfbb76-ba97-4357-908e-4e122dca56b6 · outbound

This paper cites Self-aware personalized federated learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Self-aware personalized federated learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:04.948962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da481d40-cea3-4d91-ab9c-ed5cba3f32ea · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:55.826250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b3c5376-7cdf-4ea8-a952-fceeba639179 · outbound

This paper cites Learning general gaussian mixtures with efficient score matching, 2024.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Learning general gaussian mixtures with efficient score matching, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:04.681143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 283e28b4-0b82-4068-8423-19e7c9709e19 · outbound

This paper cites Exploiting shared represen- tations for personalized federated learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Exploiting shared represen- tations for personalized federated learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:04.524491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3542c394-2c93-4033-a30c-8807555fb60e · outbound

This paper cites Ten steps of em suffice for mixtures of two gaussians.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Ten steps of em suffice for mixtures of two gaussians

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:04.339958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a918f5c-46a7-4034-b01f-ef232cdbf633 · outbound

This paper cites Adaptive Personalized Federated Learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Adaptive Personalized Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:56.459159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22371fa-5de1-4979-a201-6152130b4f76 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Diffusion models beat GANs on image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:04.056652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3970650-0e8c-40f3-8c2d-b521e6ed9387 · outbound

This paper cites Dinh, Nguyen H.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Dinh, Nguyen H

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:03.830976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a948100-e29c-460e-96ea-f757158c70d2 · outbound

This paper cites Kakade, Jason D.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Kakade, Jason D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:03.537250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 162c087d-5f0a-4006-b087-7bd3846fb53e · outbound

This paper cites Personalized federated learning: A meta- learning approach.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Personalized federated learning: A meta- learning approach

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:03.263048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c817d1f-7d8d-40eb-8f0a-4fbbcd234925 · outbound

This paper cites An efficient framework for clustered federated learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models An efficient framework for clustered federated learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:03.103687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cb972bb-eb9c-430e-adcc-80a967d4fbad · outbound

This paper cites Federated Learning of a Mixture of Global and Local Models.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Federated Learning of a Mixture of Global and Local Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:57.512209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2290a3a5-589f-4409-9d03-eb43fcb2052c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:57.751376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4cc0cc-7157-424f-bfef-f874427d2156 · outbound

This paper cites Adaptive gradient-based meta- learning methods.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Adaptive gradient-based meta- learning methods

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:02.949513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f544f70-618e-4fac-9c68-2c4c74ce1f0d · outbound

This paper cites Fedpop: A bayesian approach for personalised federated learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Fedpop: A bayesian approach for personalised federated learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:02.720255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3847d067-d2d1-49a2-9a03-0dc2de5dc6f4 · outbound

This paper cites The em algorithm gives sample-optimality for learning mixtures of well-separated gaussians, 2020.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models The em algorithm gives sample-optimality for learning mixtures of well-separated gaussians, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:02.467202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7022604d-1657-45fb-97eb-702213fb5071 · outbound

This paper cites Federated optimization in heterogeneous networks.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Federated optimization in heterogeneous networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:02.280590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb4c57e4-bc2c-4d43-8714-feb1f0312bdb · outbound

This paper cites Stich, and Martin Jaggi.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Stich, and Martin Jaggi

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:02.092307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8cb290c-5425-4663-8cb2-8e0d91f8e292 · outbound

This paper cites Deep learning face attributes in the wild.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Deep learning face attributes in the wild

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:58.619488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e769cd-2a98-4c87-9df9-4536ef695457 · outbound

This paper cites Decoupled weight decay regularization.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Decoupled weight decay regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:58.832626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70b6994-4d53-4400-9cb1-497356762b1b · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Three Approaches for Personalization with Applications to Federated Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:58.969749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd54eacb-d9ce-4c40-8b95-27a2f13fa178 · outbound

This paper cites Federated multi-task learning under a mixture of distributions.Advances in Neural Information Processing Sys- tems, 34, 2021.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Federated multi-task learning under a mixture of distributions.Advances in Neural Information Processing Sys- tems, 34, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:01.805069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e32879c-0447-404f-87c5-443dfdabdd98 · outbound

This paper cites A statistical framework for person- alized federated learning and estimation: Theory, algorithms, and privacy.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models A statistical framework for person- alized federated learning and estimation: Theory, algorithms, and privacy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:01.652510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 039af2f3-c896-440c-b6f2-cd248a0d6b6c · outbound

This paper cites ADEPT: Hierarchical bayes approach to personalized federated unsupervised learning.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models ADEPT: Hierarchical bayes approach to personalized federated unsupervised learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:01.467617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4661657a-4e5a-462e-8fc2-be814f146068 · outbound

This paper cites Quped: Quantized personalization via distillation with applications to federated learning.Advances in Neural Information Processing Systems, 34, 2021.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Quped: Quantized personalization via distillation with applications to federated learning.Advances in Neural Information Processing Systems, 34, 2021

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:01.300596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 882b1aed-42e0-481f-abc9-d75d30eef837 · outbound

This paper cites High- resolution image synthesis with latent diffusion models, 2022.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models High- resolution image synthesis with latent diffusion models, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:01.131494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d9a971c-d614-4af7-ba8d-1e7c67a6e7c1 · outbound

This paper cites Learning mixtures of gaussians using the DDPM objective.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Learning mixtures of gaussians using the DDPM objective

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.938316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2c1232c-dbe2-4b9c-a8c3-948c868dfd9e · outbound

This paper cites Talwalkar.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Talwalkar

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.727367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4f803a7-69fa-4022-ada5-fedd0895a161 · outbound

This paper cites Rethinking few- shot image classification: a good embedding is all you need? InEuropean Conference on Computer Vision, pages 266–282.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Rethinking few- shot image classification: a good embedding is all you need? InEuropean Conference on Computer Vision, pages 266–282

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.529017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45125fee-2307-4477-bb17-49d2db25f160 · outbound

This paper cites Decentralized collaborative learning of personalized models over networks.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Decentralized collaborative learning of personalized models over networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.341286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a71e98e-76a5-40fc-bfbf-d4d9b4ef24d4 · outbound

This paper cites Fully decentralized joint learning of per- sonalized models and collaboration graphs.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Fully decentralized joint learning of per- sonalized models and collaboration graphs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.202886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5be6f040-c366-4eec-8257-5a17a6cf8eaa · outbound

This paper cites +µ”.IfX 0 ∼ N(µ,I), then Xt =e −tX0 + p 1−e −2t Zt ∼ N e−tµ, e−2tI+ (1−e −2t)I =N e−tµ,I . Component “−µ.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models +µ”.IfX 0 ∼ N(µ,I), then Xt =e −tX0 + p 1−e −2t Zt ∼ N e−tµ, e−2tI+ (1−e −2t)I =N e−tµ,I . Component “−µ

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:04:00.051952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.