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Paper Citation Record · LEDGER

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.10544.

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

pith.paper-citation-record.v1
2012.10544 v4

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 2026-08-09T14:12:23.150267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:11:37.305462Z

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 40c81ff8-25e4-4a9c-bd5a-63835cbfa118 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Reference 254

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:11:37.308239Z

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=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:83398b8c3ba6eb3a78257976bbc633ef923639f065a67a0fb3a08a1ec190f971

Observation 99ef9e81-ba51-4afc-b240-a176eaf0a2f7 · inbound

Decoding FL Defenses: Systemization, Pitfalls, and Remedies cites this paper.

Decoding FL Defenses: Systemization, Pitfalls, and Remedies Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T14:12:23.150267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:12:23.150267Z digest=sha256:0dd3987006c7d056b878f6ad9472a4befb1bc06626bc5deb4b8baab5d1c595d1