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Paper Citation Record · LEDGER

Does Few-shot Learning Suffer from Backdoor Attacks?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.01377.

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

pith.paper-citation-record.v1
2401.01377 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T00:16:03.334057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:25:48.565877Z

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 72ee9d81-041e-4fef-b102-05941e3b8f86 · inbound

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers cites this paper.

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers Does Few-shot Learning Suffer from Backdoor Attacks?

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:55:49.634048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T20:30:29.032353Z digest=sha256:c616a456b0ec357b844bd9a4448fc53ac0c1b3d71fd5952b98778701ec54194e

Observation a9142320-e0b2-4a11-8e65-e89c15d62997 · inbound

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective cites this paper.

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective Does Few-shot Learning Suffer from Backdoor Attacks?

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-09T00:25:48.567307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-09T00:16:03.334057Z digest=sha256:a0dff5b78a35be5d6778c556148d6dd5319fd4b29ccc9e405b2cf49cc6609930