Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.08956.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:32:37.445016Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:17:41.582554Z
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 696f4206-7a95-4508-b2bc-4e9eecfa2fbb · inbound
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining cites this paper.
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:32:37.445016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d51e2ded-db8b-4205-9f2d-07aa2d074907 · inbound
GUARD:Dual-Agent based Backdoor Defense on Chain-of-Thought in Neural Code Generation cites this paper.
GUARD:Dual-Agent based Backdoor Defense on Chain-of-Thought in Neural Code Generation Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:34:07.048528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7bfa9db-8796-4638-ad2c-d37a2eb46144 · 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 Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:17:41.584129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.