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Paper Citation Record · LEDGER

PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12439.

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

pith.paper-citation-record.v1
2310.12439 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:31:49.933410Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:56:25.188375Z

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 9c190529-c2fa-4c47-ba0c-3e9d02dab980 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models

Reference 177

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:49.933410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:49.933410Z digest=sha256:10376add4a64d725ecbd4dbc372e0e2bd048c3a8fb22e7dbf210534598fca637

Observation 140df5bd-cf66-46a1-a094-06f328777c72 · inbound

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs cites this paper.

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:56:25.195689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T04:56:25.020711Z digest=sha256:c8c4298c7acd86262a4f072899c7d7ccaf8e9f5039012a038ee6d44daa5b97ad