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Paper Citation Record · LEDGER

Deep Probabilistic Models to Detect Data Poisoning Attacks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.01206.

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

pith.paper-citation-record.v1
1912.01206 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:59.380682Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:44:13.452194Z

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 c92cf98c-0e02-4630-8449-ae7d0efde871 · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications Deep Probabilistic Models to Detect Data Poisoning Attacks

Reference 144

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:44:13.457582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:44:11.758637Z digest=sha256:00c7d46e66c54fbd74f1bdcbbec22c0ad2f75b366d0c0edcd3eadf8121f9ebbd

Observation d8220cac-d5a3-4506-af0a-702516a1adb9 · inbound

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients Deep Probabilistic Models to Detect Data Poisoning Attacks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:46:59.380682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:46:59.380682Z digest=sha256:8393059bf201f8d156d122c15ac224e4672b14d13e9c111292e570f7a9f05b7e