Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.20136.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:39:06.872241Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:17:41.577451Z
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 61a11259-58a3-42bc-bd45-52a942f928e7 · inbound
Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language Models cites this paper.
Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language Models CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:17:41.578876Z
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.
Observation c9ea070f-55b8-48ad-8d60-21fcdf22ddcd · inbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:04:28.690486Z
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.
Observation dffce3c2-8323-41f4-96b8-1ea8448a618e · inbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:39:06.872241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.