Paper Citation Record · LEDGER

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.02222.

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

pith.paper-citation-record.v1
2608.02222 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:15:59.653559Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact0
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

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Outbound references

Observation da0c4fae-dd08-482a-add0-b93286ba37e3 · outbound

This paper cites A survey on federated learning: challenges and applications,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning A survey on federated learning: challenges and applications,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.015215Z

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Observation 9eeebca2-58b9-47b7-9b98-9f7e0f19bc74 · outbound

This paper cites Fedbens: One-shot federated learning based on bayesian ensemble,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedbens: One-shot federated learning based on bayesian ensemble,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.255477Z

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Observation ccc6fc26-d22c-4aad-974b-d1848eeab6b0 · outbound

This paper cites Fedtmos: Efficient one-shot federated learning with tsetlin machine,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedtmos: Efficient one-shot federated learning with tsetlin machine,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.411920Z

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Observation 24524b7b-7573-47f8-8354-6717bea9f09e · outbound

This paper cites Revisiting ensembling in one-shot federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Revisiting ensembling in one-shot federated learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.514773Z

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Observation 66767b12-a315-4d9a-a2ee-15120dfaae92 · outbound

This paper cites One-shot feder- ated learning: theoretical limits and algorithms to achieve them,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning One-shot feder- ated learning: theoretical limits and algorithms to achieve them,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.705102Z

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Observation a4e2ff22-b72f-4694-b3e2-f474ef8ffba6 · outbound

This paper cites Dense: Data-free one-shot federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Dense: Data-free one-shot federated learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:55.919439Z

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Observation 90209466-b5e5-44d9-a3c6-1b574531fdf2 · outbound

This paper cites Data-free one-shot federated learning under very high statistical heterogeneity,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Data-free one-shot federated learning under very high statistical heterogeneity,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.019273Z

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Observation f6a1ece1-555f-4393-9b99-18b25c807fd7 · outbound

This paper cites Capture global feature statistics for one-shot federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Capture global feature statistics for one-shot federated learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.164766Z

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Observation 567adf25-76aa-4e6a-b296-f734861e91cf · outbound

This paper cites Federated learning via decentralized dataset distillation in resource-constrained edge environments,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Federated learning via decentralized dataset distillation in resource-constrained edge environments,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.277110Z

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Observation 34ebd90c-556f-447a-a121-ea91718d44ca · outbound

This paper cites Enhancing one- shot federated learning through data and ensemble co-boosting,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Enhancing one- shot federated learning through data and ensemble co-boosting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.389546Z

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Observation 873032e0-742e-492d-aab2-8cd603db3422 · outbound

This paper cites Federated oriented learning: A practical one-shot personalized federated learning framework,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Federated oriented learning: A practical one-shot personalized federated learning framework,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.530353Z

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Observation 6a1f4dc5-7261-4c1e-8803-f70a21fdf048 · outbound

This paper cites FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.609685Z

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Observation 3045335e-a972-4c5f-bffd-15a9283c700d · outbound

This paper cites Feddeo: Description-enhanced one-shot federated learning with diffusion models,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Feddeo: Description-enhanced one-shot federated learning with diffusion models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.871643Z

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Observation 82e67bf7-4820-4ed0-8d0a-b08a667e352e · outbound

This paper cites Federated generative learning with foundation models.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Federated generative learning with foundation models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.038895Z

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Observation 4d49f711-b280-41e8-b05e-2ba4d2bdf326 · outbound

This paper cites Fedlpa: One- shot federated learning with layer-wise posterior aggregation,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedlpa: One- shot federated learning with layer-wise posterior aggregation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.162065Z

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Observation 558e2a62-3e7c-4020-b7e2-da2135d3b647 · outbound

This paper cites Fedfisher: Leveraging fisher information for one-shot federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedfisher: Leveraging fisher information for one-shot federated learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.335186Z

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Observation 09a329ca-334b-49dc-8da9-d293463e619d · outbound

This paper cites Fusefl: One-shot federated learning through the lens of causality with progressive model fusion,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fusefl: One-shot federated learning through the lens of causality with progressive model fusion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.510451Z

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Observation ef6a4e6d-8427-4c96-8988-c91ae0e9438c · outbound

This paper cites Does one-shot give the best shot? mitigating model inconsistency in one-shot federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Does one-shot give the best shot? mitigating model inconsistency in one-shot federated learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.659528Z

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Observation 63e3c9fb-028f-4356-a8ef-f825989e4823 · outbound

This paper cites A frequency-based approach for federated domain generalization in heterogeneous medical imaging,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning A frequency-based approach for federated domain generalization in heterogeneous medical imaging,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.734305Z

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Observation 348b92ad-3eaf-4955-8823-cf472bceaf6c · outbound

This paper cites Fed2: Feature-aligned federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fed2: Feature-aligned federated learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.797814Z

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Observation ef133833-3f8a-44be-8ee1-d7c1c67f12fe · outbound

This paper cites Moment matching for multi-source domain adaptation,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Moment matching for multi-source domain adaptation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.855060Z

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Observation d44a7d22-039f-43d0-a6a6-288612a0787c · outbound

This paper cites pfedafm: Adaptive feature mixture for batch-level personalization in heterogeneous federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning pfedafm: Adaptive feature mixture for batch-level personalization in heterogeneous federated learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.938311Z

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Observation 0a4fd19a-5f87-4b81-95b1-0584cc680b74 · outbound

This paper cites Fedrda: Representation deviation alignment in heterogeneous federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedrda: Representation deviation alignment in heterogeneous federated learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:57.987948Z

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Unavailable: canonical work link unavailable.

Observation 50c120d4-0a05-4128-a325-be4e5915bd4b · outbound

This paper cites One-shot federated learning via synthetic distiller-distillate communication,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning One-shot federated learning via synthetic distiller-distillate communication,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.046209Z

Source-reported events for the cited work

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Observation 95226423-3818-4824-aa17-c3c604ac2b61 · outbound

This paper cites Distilled One-Shot Federated Learning.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Distilled One-Shot Federated Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.071592Z

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Observation 768f38ba-692b-4b0e-9dbd-6a2a1676342c · outbound

This paper cites XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.147760Z

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Observation 4c96c87e-8fa2-46e9-9a8a-78df8b31e24e · outbound

This paper cites Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.206660Z

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Observation 61735d4e-4457-4c9a-968f-179d798e879f · outbound

This paper cites Osgan: One-shot distributed learning using generative adversarial networks: A. kasturi, c. hota,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Osgan: One-shot distributed learning using generative adversarial networks: A. kasturi, c. hota,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.283693Z

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Observation 826a993b-0edf-41f9-870b-fd1472d05027 · outbound

This paper cites Clip-guided federated learning on heterogeneity and long-tailed data,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Clip-guided federated learning on heterogeneity and long-tailed data,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.405113Z

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Observation 40f1ece3-f9e7-4e2e-965a-c4b532b73dea · outbound

This paper cites Gpfl: Simultaneously learning global and personalized feature information for personalized federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Gpfl: Simultaneously learning global and personalized feature information for personalized federated learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.514588Z

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Observation 08eff3bc-30fb-4c0f-91d5-ed41b9350f23 · outbound

This paper cites Fraug: Tackling federated learning with non-iid features via representation augmenta- tion,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fraug: Tackling federated learning with non-iid features via representation augmenta- tion,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.635800Z

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Unavailable: canonical work link unavailable.

Observation 71125373-ece4-4bab-8635-769dc6756796 · outbound

This paper cites Fedfa: Federated learning with feature anchors to align features and classifiers for heterogeneous data,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedfa: Federated learning with feature anchors to align features and classifiers for heterogeneous data,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.753658Z

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Observation 8fb8eddb-1858-4c64-9eee-858ec21739c8 · outbound

This paper cites Fedfm: Anchor- based feature matching for data heterogeneity in federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedfm: Anchor- based feature matching for data heterogeneity in federated learning,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:58.879555Z

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Observation 0b2ff936-b2a2-483a-b04b-cc5923740c24 · outbound

This paper cites Fedfed: Feature distillation against data heterogeneity in federated learning,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fedfed: Feature distillation against data heterogeneity in federated learning,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.033991Z

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Unavailable: canonical work link unavailable.

Observation 0b4fabc5-3ec1-43c5-ab04-fdecb762f162 · outbound

This paper cites Similarity of neural network representations revisited,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Similarity of neural network representations revisited,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.169553Z

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Observation 2dfaa241-ccc9-4643-b902-14aebede021e · outbound

This paper cites Deep domain- adversarial image generation for domain generalisation,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Deep domain- adversarial image generation for domain generalisation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.267308Z

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Observation d5688c15-3b37-4d83-b8f5-c384a2f8a8d2 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Deep hashing network for unsupervised domain adaptation,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.405231Z

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Observation 02346201-77fb-4aa2-b51a-9c38954240f4 · outbound

This paper cites Fed- erated discriminative representation learning for image classification,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Fed- erated discriminative representation learning for image classification,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.509177Z

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Observation c0b3364f-ec30-4d81-8c44-aa4508fc676b · outbound

This paper cites Vector quantization-based clustered federated learning with global feature anchors for improved representation and generalization,.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning Vector quantization-based clustered federated learning with global feature anchors for improved representation and generalization,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:59.653559Z

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Unavailable: canonical work link unavailable.

Observation e7426926-49ae-4c2d-8d69-78e4b1ed1192 · outbound

This paper cites FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T11:18:38.187672Z

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

Pith citing papers

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