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Paper Citation Record · LEDGER

SALLM: Security Assessment of Generated Code

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:21.365711Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T17:30:54.204300Z digest=sha256:5c5b82ae7119a5c761bd9db153007871cee1b6f154c545d807b62dec507bfd8e

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.

source=pdf_text observed=2026-08-06T17:56:21.365711Z digest=sha256:e30d1e830ce9f8d61524460eccdfcf115eaed1cc69aca0200815a89e866d4edb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:37:42.036074Z digest=sha256:0127238f41ea3d78b1a5b1097bb4f89ecc7b595e15260ce07bd5d48885c05315

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T15:17:26.306332Z digest=sha256:0f6084db67c1d3c9b19c42e801c9ad01400ffab81940d48a0e1001d1a793054b

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.

source=pdf_text observed=2026-08-02T03:32:55.213160Z digest=sha256:960db9feda3cf4ee8c6805c325fba0f94104c2e49a40481e5b0ebcc1068e1c71

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.

source=pdf_text observed=2026-08-02T01:01:33.506161Z digest=sha256:c9d7bf5d7ee3ea82a62f73d15aa3e2f08a8035afe813a9510b8ae46bbb83d48a