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Paper Citation Record · LEDGER

Black-Box Adversarial Attacks on LLM-Based Code Completion

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02509.

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

pith.paper-citation-record.v1
2408.02509 v2

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:17:34.014107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:57:17.042626Z

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 51742e07-7582-4af1-9ec2-f6fafde6f782 · inbound

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants Black-Box Adversarial Attacks on LLM-Based Code Completion

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:57:17.045869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T23:55:14.887237Z digest=sha256:a984f18e8d1c7d49c8412569873d25748781096f6de0b64072c06ea3166d7930

Observation 3c68d9a8-3a77-4b64-a581-e5db2fdb1fd3 · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Black-Box Adversarial Attacks on LLM-Based Code Completion

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.014107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.014107Z digest=sha256:c79faaf0f058c4d58cd1e777556c16b056c07446485d28bf3a9ce6af9aba8522

Observation d6318d76-00a1-44cb-8c74-f15bb89c2239 · inbound

SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization cites this paper.

SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization Black-Box Adversarial Attacks on LLM-Based Code Completion

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:24.619620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:09:08.378040Z digest=sha256:5e18d7be4183d532acbdcbc10e70c5cc4f76e0f8765ea6fb61e52f6fcdbf1555