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Paper Citation Record · LEDGER

Backdoor Threats from Compromised Foundation Models to Federated Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.00144.

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

pith.paper-citation-record.v1
2311.00144 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:19.006601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:48:04.437454Z

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 2e4af972-2341-47dd-b3c1-8f2a16ef8f15 · inbound

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions cites this paper.

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions Backdoor Threats from Compromised Foundation Models to Federated Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T22:03:19.006601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:19.006601Z digest=sha256:9d977db2112e2e172d934f8529eb32c354a889e3892160eeda2ef9d64f5ad729

Observation 2520f757-bd93-4c25-b567-fc8f122ce4ea · inbound

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things cites this paper.

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Backdoor Threats from Compromised Foundation Models to Federated Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:51.745302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:51.745302Z digest=sha256:555d7c4ebe6cb4500bd66b259278c03d1d8c99b4972112d7acef8a4af1605a4c

Observation 81e1bc93-1ce6-4e59-ac4e-2109dc24235c · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Backdoor Threats from Compromised Foundation Models to Federated Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.439178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T05:45:02.563352Z digest=sha256:73d628d8458cfb87c158b05b4b453f0077adc00dd38c72731db09c9ebdcea0bd