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Paper Citation Record · LEDGER

Tunable Soft Prompts are Messengers in Federated Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.06805.

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

pith.paper-citation-record.v1
2311.06805 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:44:46.486887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:10:53.706928Z

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 bc2f98b1-d4f9-4aa9-9c4d-4f688021fad2 · inbound

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks cites this paper.

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Tunable Soft Prompts are Messengers in Federated Learning

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-16T10:44:46.486887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:44:46.486887Z digest=sha256:33e242362d293dcc6f6d6f0d3392e7dfc667942c2789cd39183a81f92fd17a4b

Observation ec54783f-6850-43e4-9dbd-6e82fb46aa22 · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization Tunable Soft Prompts are Messengers in Federated Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.711798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.244979Z digest=sha256:374d49c625c7a256209bcd9c2085dbc108b282ae1d9566b8c33538fbd99f609d