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Paper Citation Record · LEDGER

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2301.02344.

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

pith.paper-citation-record.v1
2301.02344 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:36:01.295107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.175321Z

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 1c402832-adad-470b-97bc-6d706a65ce80 · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:01.295107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:01.295107Z digest=sha256:c81a304a839fe1aa67c118e08dabe1c3fd05555072856e5361e931727fcd4535

Observation 861a5006-971d-4d3a-9d00-cff5044a701f · inbound

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation cites this paper.

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:02:46.939967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:02:46.939967Z digest=sha256:f1ff38775a48aede6f840ccae8c370e73ab9c8abe5df8a793391701f544df5c5

Observation 4e68bb5e-14b9-48f3-924e-dd752c285780 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:30.457714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:30.457714Z digest=sha256:9f1c58e27561d53966495cede37930eeb4e6cad59f77c35a910c8a63cf10c440

Observation 4e22af3b-4892-4abc-aaaf-bc9a657e360f · inbound

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:06:13.864066Z

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=2026-05-18T10:04:39.223895Z digest=sha256:07f4c04b66a5c3d400ae493899749dc05f2c6dab853a85f1a7a40f8e4a2972fb

Observation 31a3f641-cad6-46b7-b3bb-7626f56f4ef4 · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:51:09.313911Z

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=2026-05-08T07:53:13.746141Z digest=sha256:2433ec4066dc98da42edc00130893929d2cf864e6e42797f9870c2dc12812972

Observation 6b23ef35-2df9-4d2e-90d9-bbf9a8a58ccb · inbound

Security of LLM-generated Code: A Comparative Analysis cites this paper.

Security of LLM-generated Code: A Comparative Analysis TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:16:39.180007Z

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=2026-05-25T05:16:26.372764Z digest=sha256:5065bc35403d33e9a7cfed3e2c8b084082e0eb5a1546cc38ab0827677a61c10a

Observation 7dd28078-01ff-438e-be83-3d46028b11a3 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:50:11.176955Z

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=2026-06-25T20:58:53.119386Z digest=sha256:db0917c9c758a4cfb3449b16a3278aba2464711c6e78e38fb256b7583eb78e61

Observation ca90dd49-81d9-4868-af25-7ec7b606bc36 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T10:16:42.602353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:16:42.602353Z digest=sha256:3b554d420c29279f761e6bb87f44a9090a2583346c86aab9dcf89d2c4707fca3

Observation d5bac853-200d-480f-836e-12769b09c142 · inbound

Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery cites this paper.

Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:48:59.051189Z

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=2026-07-03T21:42:30.668485Z digest=sha256:be8fc022ec9ad93f6e87659cb519b5126dac398b830d2977c2b1d1ebd217c21d