Paper Citation Record · LEDGER

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2412.00410.

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

pith.paper-citation-record.v1
2412.00410 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:28:39.116802Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T09:10:20.045403Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T09:15:44.211713Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy11
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb534ab1-adb1-44e3-af8e-a7a0518c3cee · outbound

This paper cites The internet of things in manufac- turing: Key issues and potential applications,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence The internet of things in manufac- turing: Key issues and potential applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:40.132363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 98cb1842-29e6-418f-9c90-a2b334f80c63 · outbound

This paper cites Industrial internet of things intelligence empowering smart manufacturing: A literature review,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Industrial internet of things intelligence empowering smart manufacturing: A literature review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:40.118164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87ffdc97-dd17-446e-813f-d08066535154 · outbound

This paper cites Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.544245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f1e18f-61b6-464e-b1f7-031488d96aef · outbound

This paper cites Federated learning for industrial internet of things in future industries,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Federated learning for industrial internet of things in future industries,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.549012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca22fbf-6dc9-4724-a320-940f3971b863 · outbound

This paper cites End-edge-cloud collaborative computing for deep learning: A comprehensive survey,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence End-edge-cloud collaborative computing for deep learning: A comprehensive survey,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.553598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee48bd1-7e69-4e48-9525-28581c609973 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Federated optimization in heterogeneous networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.558016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57cf7c2d-4eec-4bc9-9b93-f9e9337c7b81 · outbound

This paper cites Towards personalized federated learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Towards personalized federated learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.563510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df3951c-9929-477c-ab3c-a26ffe2b9728 · outbound

This paper cites Rethinking personalized federated learning from knowledge perspective,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Rethinking personalized federated learning from knowledge perspective,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.960065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56a2e99c-7fba-4d60-938a-5e78d0b25791 · outbound

This paper cites Preservation of the global knowledge by not-true distillation in federated learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Preservation of the global knowledge by not-true distillation in federated learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.695652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df6b353e-962b-4ce1-bf93-5b9638dd7afe · outbound

This paper cites Federated learning with label-masking distillation,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Federated learning with label-masking distillation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.884562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36b8e56c-cc03-4685-8119-c5cc6d41c3ab · outbound

This paper cites Learning critically: Selective self-distillation in federated learning on non-iid data,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Learning critically: Selective self-distillation in federated learning on non-iid data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.870961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afa349c3-1301-4a91-a980-6855745f6e54 · outbound

This paper cites F ed gkd: Towards heterogeneous federated learning via global knowledge distillation,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence F ed gkd: Towards heterogeneous federated learning via global knowledge distillation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.753371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea56cb1f-30c7-46ce-b0a5-4ec7836c3838 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Distilling the Knowledge in a Neural Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.832198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906331b3-2251-4bb3-9c1f-8a7da5a8bc37 · outbound

This paper cites Learn from others and be yourself in heterogeneous federated learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Learn from others and be yourself in heterogeneous federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.634224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abae5ae4-76e9-4977-8bdc-ff07fcd6b146 · outbound

This paper cites Personal- ized edge intelligence via federated self-knowledge distillation,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Personal- ized edge intelligence via federated self-knowledge distillation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.842351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc79562-ada7-4424-8c55-9831eac197f1 · outbound

This paper cites Dkd-pfed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Dkd-pfed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.608484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd163d23-7d08-402b-9de3-5d6750626b65 · outbound

This paper cites Overcoming Forgetting in Federated Learning on Non-IID Data.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:38.850345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dccecb4-f8d1-456a-9495-691bd02a4e7b · outbound

This paper cites Acceleration of federated learning with alleviated forgetting in local training,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Acceleration of federated learning with alleviated forgetting in local training,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.492206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdd399ed-4a8d-4d3d-aa3c-d9f7649072aa · outbound

This paper cites Decoupled knowledge distillation,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Decoupled knowledge distillation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.003647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b81a88-4cbe-4f84-a724-ad9f5bbb9951 · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Exploiting shared representations for personalized federated learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.082628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e046cf-1748-4c44-b872-8cfbe52026e3 · outbound

This paper cites Partialfed: Cross-domain personalized federated learning via partial initialization,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Partialfed: Cross-domain personalized federated learning via partial initialization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.419615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7772b6ff-af9b-4940-a848-0d41ebb54d39 · outbound

This paper cites A comprehensive survey of forgetting in deep learning beyond continual learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence A comprehensive survey of forgetting in deep learning beyond continual learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:28:39.404071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a092c21-3205-4564-83df-f9365874d628 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Gradient-based learning applied to document recognition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.096074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9c3969-ff0d-4b36-b1b7-2dc33b068792 · outbound

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

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Learning multiple layers of features from tiny images,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.099340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccd82b3-80fb-418c-8d90-c2a8e27a33c0 · outbound

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

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Communication-efficient learning of deep networks from decentralized data,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.104180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508de7a4-7ec9-4455-8f32-7bea4c92fbba · outbound

This paper cites Model-contrastive federated learning,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Model-contrastive federated learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.108409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b8796e-82a7-4996-b5bb-38b4dbc635b8 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.112929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc2e234-551b-4d41-94b2-1fb4fa5d8464 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:39.116802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6ac21c4e-2cb1-4989-8682-d96d8dde47f7 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:18.176387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9d9bf33-f1f8-4e3e-b5c3-c10a343913f4 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:15:44.214682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.