Paper Citation Record · LEDGER

SALLM: Security Assessment of Generated Code

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.00889.

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

pith.paper-citation-record.v1
2311.00889 v3

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 2026-08-11T04:17:02.612913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:34:48.525941Z

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 cb91ec14-c147-41a3-8882-8f81627ece99 · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models SALLM: Security Assessment of Generated Code

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.800277Z

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.

Observation 604cae6f-c46c-4e2e-ab6e-d00da5a12fac · inbound

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study cites this paper.

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study SALLM: Security Assessment of Generated Code

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:03.463934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce95123-a673-4219-a8dd-667dd2d812c4 · inbound

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment cites this paper.

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment SALLM: Security Assessment of Generated Code

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T22:01:05.866824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832c2e1a-989a-44a1-9a13-6283c64afafc · inbound

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models cites this paper.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models SALLM: Security Assessment of Generated Code

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.365711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e63a3e-da8d-468b-8ba0-24a18445f927 · inbound

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges cites this paper.

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges SALLM: Security Assessment of Generated Code

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:38:17.349543Z

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.

Observation 2f64393e-03ae-4cd8-8470-7a6f1b46bec4 · inbound

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods cites this paper.

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods SALLM: Security Assessment of Generated Code

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.527387Z

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.

Observation 02469358-f4dc-4003-b4b2-f44991d3e7cb · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation SALLM: Security Assessment of Generated Code

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T03:32:55.213160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018d397e-cef6-437d-b0c1-145d25ca33d9 · inbound

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality SALLM: Security Assessment of Generated Code

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-02T01:01:33.506161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb5446c9-1651-4e8b-85c4-84b83507b890 · inbound

Can AI Write Compliant Code, and to What Extent? Evaluating SOC 2 Compliance of Claude Fable 5, Claude Opus 4.8, and Claude Opus 5 Across Four Use Cases cites this paper.

Can AI Write Compliant Code, and to What Extent? Evaluating SOC 2 Compliance of Claude Fable 5, Claude Opus 4.8, and Claude Opus 5 Across Four Use Cases SALLM: Security Assessment of Generated Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:17:02.612913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.