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Paper Citation Record · LEDGER

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.04004.

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

pith.paper-citation-record.v1
2312.04004 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:43:06.376274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:17:41.585275Z

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 60d5fe0a-dc88-4c82-a1e9-feeef7d0b5d9 · 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 Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:17:41.586664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T12:48:38.235360Z digest=sha256:13b4acbba8491c3cd3b0b38a729a3de42d01f2a0a122f76320a92c2c384a6406

Observation fa7bd39d-ded6-453c-823b-4626aec85564 · inbound

LoRAScan: Detecting Backdoor Prompts in Low-Rank Adapters for Large Language Models via Down-Projection Activation Spikes cites this paper.

LoRAScan: Detecting Backdoor Prompts in Low-Rank Adapters for Large Language Models via Down-Projection Activation Spikes Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:06.376274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:43:06.376274Z digest=sha256:3ddb013be7857bd339e44fdeaf72f83d6adbecc577184bc29a1992326e24975a