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Paper Citation Record · LEDGER

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.17826.

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

pith.paper-citation-record.v1
2305.17826 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:23:34.971296Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:25:21.145218Z

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 e9bc6db9-5f39-4f34-afe7-5ae4434ce004 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:25:21.147529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T06:25:20.966510Z digest=sha256:5d669eedbd6bd314e8fffdd24d378861958013b11c4454cf4826f8e0de7734df

Observation ee6754aa-73eb-4636-b2a7-cb046b0668e8 · inbound

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer cites this paper.

CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:23:34.971296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:23:34.971296Z digest=sha256:fbd21418168ffa2baa9460e2e926a907bc84bf6c81b54377d97cb9db7f16cf17