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Paper Citation Record · LEDGER

On Bridging Generic and Personalized Federated Learning for Image Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:59:37.142062Z

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 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=sha256:90b4e5a381f675cc52b316df930786d7cd91ca5f4847a55228ff63d7fbb5c5e8

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=sha256:8386cb39088d66ec3eaea103524db5591f7cb9fa1064de5d32f976754f03cdaa

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=sha256:236e94ae9794cf7aa207732cd7776ab5a7686da10166c634276383f0385be7a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:51:20.071589Z digest=sha256:332c1194aa613715217a9d39934c04a90ee15495e02369b96833751d01ec1a1e