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Paper Citation Record · LEDGER

Privacy Backdoors: Stealing Data with Corrupted Pretrained Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.00473.

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

pith.paper-citation-record.v1
2404.00473 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:29:19.834898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.838719Z

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 dfc6540e-2ffe-4e4a-8a0e-a13174465311 · inbound

Behavior Backdoor for Deep Learning Models cites this paper.

Behavior Backdoor for Deep Learning Models Privacy Backdoors: Stealing Data with Corrupted Pretrained Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T04:29:19.834898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:29:19.834898Z digest=sha256:5ba09b37377caa42f3e47703dd4f1631d47e6a5e3e0410880b6ebff636936396

Observation 0c1b0d1b-33c1-4d62-86d2-06662740f358 · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models Privacy Backdoors: Stealing Data with Corrupted Pretrained Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:23:08.327340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:23:08.327340Z digest=sha256:78e65f856d256ddebfd41f3491e4373b01c6705553a399d3db60fa890e579418

Observation 454cf83e-56d6-4903-83f5-93057ac58f06 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Privacy Backdoors: Stealing Data with Corrupted Pretrained Models

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.840754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:cad060f0809dd7b025afa5482f47ac54f16bab1c738399b5a2c5c4fa0a4e5360