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Paper Citation Record · LEDGER

Can LLMs get help from other LLMs without revealing private information?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01041.

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

pith.paper-citation-record.v1
2404.01041 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.791810Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:46:11.705057Z

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 0d3e6bee-107e-4132-a0b0-0b6173492331 · inbound

Position: Contextual Integrity is Inadequately Applied to Language Models cites this paper.

Position: Contextual Integrity is Inadequately Applied to Language Models Can LLMs get help from other LLMs without revealing private information?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.791810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.791810Z digest=sha256:b9395e60453dee04cf037288cede91f91cc07400e1f41ea1f7d26f8d97165a7f

Observation 2672f80e-e0f6-4fb6-875e-1c7caee3d9c7 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Can LLMs get help from other LLMs without revealing private information?

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:46:11.709859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:46:10.078568Z digest=sha256:5c997413374bd2914a92f7a3bbf74042ce45b47817cf821da2a7a085e0dd72a5