Pith. sign in

Paper Citation Record · LEDGER

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.14504.

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

pith.paper-citation-record.v1
2408.14504 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:56:39.644929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T05:26:02.132005Z

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 11876af4-cd02-4db4-99d0-87394b1ee785 · inbound

LLM-Supported Natural Language to Bash Translation cites this paper.

LLM-Supported Natural Language to Bash Translation Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T19:56:39.644929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:56:39.644929Z digest=sha256:9da712e92e77239145d8639787ffea62383a18775fe09d436a495f6c8387a1c2

Observation 7fefef00-7afa-4254-b9dc-4572f1bdebcd · inbound

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective cites this paper.

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:57.541770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:57.541770Z digest=sha256:9b0d71091eed20a23bf9e1868ca5cdb38ce477083d17e3f38541cb2f01fab600

Observation ceb06e05-a359-472b-99d9-80f4de03e4d4 · inbound

Insights into Security-Related AI-Generated Pull Requests cites this paper.

Insights into Security-Related AI-Generated Pull Requests Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:26:03.568946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T01:46:59.395508Z digest=sha256:44d7f8ad3daa27c310f2d624d28e8d5b84bb0b03a2c01ce4d8420dd4a01d1c7d

Observation 0382b735-f388-4033-8e01-d9c3011773f6 · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:21:10.819540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:1a4114a5f8866503da9e07dfdfe8ed0d2cce5f29d70e87d56877263481c88d46

Observation 341e3c5a-b78c-4e39-b97d-c59930ac8dc9 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-27T05:30:35.748751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T05:26:48.431739Z digest=sha256:ddbfd94a1b4bae12a2e964105a938b04093b060f8517d0c32ad11520287b9df5

Observation 4d3e4542-2dae-4201-b16e-49c44909af15 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T11:44:03.034648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:44:03.034648Z digest=sha256:5a36865f96d7823b724b2f679316dd0e77c608dd150f39f16d2160353f03f1ea

Observation b4b288dc-4b9e-4073-bd4b-64da2a3d7d92 · inbound

Rethinking Code Performance Benchmarks for LLMs cites this paper.

Rethinking Code Performance Benchmarks for LLMs Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-07-09T05:26:02.133748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-09T05:16:58.549058Z digest=sha256:c91c6ae9c94b64f7ce11ff191a4db6c2abe5bfaae21177a8b4ca0eca86cce62a