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Paper Citation Record · LEDGER

Label Inference Attack against Split Learning under Regression Setting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.07284.

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

pith.paper-citation-record.v1
2301.07284 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:20.831039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:26:13.831353Z

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 8c640a5d-5c49-4518-b0d6-7819d5c3e348 · inbound

A Taxonomy of Attacks and Defenses in Split Learning cites this paper.

A Taxonomy of Attacks and Defenses in Split Learning Label Inference Attack against Split Learning under Regression Setting

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T22:57:20.831039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:57:20.831039Z digest=sha256:2920b8a53ad842268d00eda413b1691fdb0d0d80947be2097db941c18f066da1

Observation 24e8d17a-08f8-45c7-8159-4f5be5ed33a0 · inbound

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations cites this paper.

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations Label Inference Attack against Split Learning under Regression Setting

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:13.834297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T02:46:34.459345Z digest=sha256:5d47bd6b8f691b275c64b49f1995d2b14ee08a3b831e8b01f7e0c078dbb0c347