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Paper Citation Record · LEDGER

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11587.

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

pith.paper-citation-record.v1
2408.11587 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:32.492398Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:59:35.822351Z

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 2de31235-aeef-41d5-8f74-38527e0e559b · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:59:35.887725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:59:32.492398Z digest=sha256:4b141b08d74ff630be9251c883628d415a129311a957726a18cce200d5c23220

Observation d59579e5-1f34-406e-9027-bf8d981029a6 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.461206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.461206Z digest=sha256:389fd58c1d13728e0741504e535b5dd8c5d69a7158de9a9c0d59b88d9e155048