Paper Citation Record · LEDGER

Can Textual Gradient Work in Federated Learning?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.19980.

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

pith.paper-citation-record.v1
2502.19980 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:56.972443Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:55:41.642097Z

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 09385a5c-e094-4840-ba1e-78b3e9997b16 · inbound

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients cites this paper.

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients Can Textual Gradient Work in Federated Learning?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:56.972443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65da570e-5ff2-4cda-a79e-25af64ceb459 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Can Textual Gradient Work in Federated Learning?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.658400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c1279a-e23a-41c6-af93-dae6d806f0bf · inbound

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients" cites this paper.

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients" Can Textual Gradient Work in Federated Learning?

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:55:41.738358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dae8acab-9669-44db-a7cc-22568c29b095 · inbound

Synapse: Federated Tool Routing via Typed Compendium Artifacts cites this paper.

Synapse: Federated Tool Routing via Typed Compendium Artifacts Can Textual Gradient Work in Federated Learning?

Reference 388

Resolution: unresolved; no resolver link, observed 2026-08-03T05:58:12.605473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.