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Paper Citation Record · LEDGER

Multi-target Backdoor Attacks for Code Pre-trained Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.08350.

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

pith.paper-citation-record.v1
2306.08350 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 2026-08-05T14:42:31.435614Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:25:21.067297Z

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 6a7ccbb2-e578-4c65-baf9-bb75f8015138 · 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 Multi-target Backdoor Attacks for Code Pre-trained Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:25:21.070163Z

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=2026-05-15T06:25:20.966510Z digest=sha256:14980e9af7f28c2d336f307bbdce4030d6ee895632c5c8e6f3f898888b4db307

Observation b5012e99-a571-485f-9ab2-bbf7774931db · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution Multi-target Backdoor Attacks for Code Pre-trained Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:31.435614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:42:31.435614Z digest=sha256:be09d51562c008d9b2d3c7d3ef24bbe174f9a33a75225ea585f25daa8a9b89c9