Paper Citation Record · LEDGER

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.01273.

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

pith.paper-citation-record.v1
2204.01273 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:22:58.383847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:23:47.928099Z

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 f0c2d491-6224-4d84-858e-f3868daff102 · inbound

Exemplar-condensed Federated Class-incremental Learning cites this paper.

Exemplar-condensed Federated Class-incremental Learning FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:58.383847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd43125-ed41-4abb-b73f-03b4c0a1ee62 · inbound

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing cites this paper.

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T06:02:19.127231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1ca169-8672-4604-b30c-6ccc85f0f0c8 · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Reference 296

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:06:07.374936Z

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.

Observation a3e558fc-4683-4251-9300-a3c67b557e59 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:27.550207Z

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.

Observation 4b984567-082e-4009-bc8b-0c2391ee70d9 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:47.932238Z

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.