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Paper Citation Record · LEDGER

Differentially Private Bias-Term Fine-tuning of Foundation Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.00036.

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

pith.paper-citation-record.v1
2210.00036 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:56:36.550757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.009340Z

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 aa3979d9-2413-41e5-ad40-195d69c51d72 · inbound

Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models cites this paper.

Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models Differentially Private Bias-Term Fine-tuning of Foundation Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T13:56:36.550757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:56:36.550757Z digest=sha256:e3d71bd262fd4f61713dbd10d993c09180308915a18f222aab04768e9384e682

Observation a9651ea5-87c7-444f-bdf8-954747fdffbf · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Differentially Private Bias-Term Fine-tuning of Foundation Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.010749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T16:33:28.848573Z digest=sha256:3c711925c1d3480fe90f65adc7667f017138dbeb7214a8fe6ce10d4a53109961