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Paper Citation Record · LEDGER

On Bridging Generic and Personalized Federated Learning for Image Classification

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2107.00778.

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

pith.paper-citation-record.v1
2107.00778 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:07:33.126813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.744391Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbcac1b2-7739-4abd-a71b-8082fe349fe8 · inbound

F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics cites this paper.

F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T18:53:06.376168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:53:06.376168Z digest=sha256:e6d9ecc5d131eaf782600719f165378977f494ac93d5f28290e8e1bad808a5e4

Observation 86e043b7-566a-41b6-b8e0-1039131d926c · inbound

FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems cites this paper.

FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T22:06:06.161980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:06:06.161980Z digest=sha256:e1694c2f5e59fc2fd6f2532c1bb75a9254fd8a4c447f04d326ab2cffc95a3c7a

Observation 527228af-b249-48a4-96d3-518d40da6b7b · inbound

FedRIR: Rethinking Information Representation in Federated Learning cites this paper.

FedRIR: Rethinking Information Representation in Federated Learning On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T17:34:01.469128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:34:01.469128Z digest=sha256:18ea7013a134bcaff60804dbc74915e19f303a4b13e75e937090218f1189ee65

Observation a180e182-f3b5-4d6c-903a-0242f4146f83 · inbound

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning cites this paper.

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T06:07:33.126813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:07:33.126813Z digest=sha256:1eb60a8b1eb3fe412f248a857b9b4128a5bb0c2abcb1a835e0c3f789b981501b

Observation acd831b6-164b-4579-bee1-25eceaaa3f92 · inbound

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach cites this paper.

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:33:25.668488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:25.668488Z digest=sha256:6c4fbbc3f735d603a7326b2fc621ae7aea49beef1f0b68bc69cbf5cef018a212

Observation 872aed93-f175-42cf-8403-8b91e743482b · inbound

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning cites this paper.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:12:57.865336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:12:57.865336Z digest=sha256:4eb4300f1f33298dd0116f0092a32214f42279321d69c35e2b0a8133d9aad7a3

Observation 66a048d4-d628-4f13-970d-6c188989a045 · inbound

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data cites this paper.

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:43.060363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:54:43.060363Z digest=sha256:4f2fef6470992fd99bf295a69abe250453fb98407bfdc2071177e5731d60cef9

Observation eb358611-8d65-4489-98fd-94e1c064a464 · inbound

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data cites this paper.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:37.142062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:37.142062Z digest=sha256:a5942f673b9026607b0a08f44f67cabb8a9ac5b95a8a34bb5151279d68589a51

Observation 5d440f1a-c9d8-4f5b-b24b-e82a7b8f3cab · inbound

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments cites this paper.

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:02.524288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:58:02.524288Z digest=sha256:b7c785f3f9b9f5a403ec48f817cb7fe1da41834e0882a6a007189664112bb420

Observation e9d1d401-b044-4c6c-87b9-75da603e1ff9 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T20:19:02.856519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:19:02.856519Z digest=sha256:93391e3cfd995e636b8dd739ccd19266d2a9f91afdcf1e698ceae2deb91bbdb8

Observation bc6acdb8-82fc-4f49-babd-7808d7f48c12 · inbound

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning cites this paper.

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.746271Z

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=2026-06-27T16:51:20.071589Z digest=sha256:6644672549b0b22166287bcd032b670888b0f75d7cf673ceecacbd29276f1afe