Pith. sign in

Paper Citation Record · LEDGER

Optimizing Large Language Model Hyperparameters for Code Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.10577.

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

pith.paper-citation-record.v1
2408.10577 v1

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

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:37:50.095782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:46:11.132846Z

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 0cadbf09-e8e9-4a6d-8453-0b1e06804ec9 · inbound

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT cites this paper.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Optimizing Large Language Model Hyperparameters for Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T20:37:50.095782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:37:50.095782Z digest=sha256:c747f7b313b4b138ecd494c1e5decede2a6f31a4d85201263b0f4bb1e84b3d85

Observation 2783886c-ad60-4cac-8d7f-32f5108eaad9 · inbound

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT cites this paper.

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT Optimizing Large Language Model Hyperparameters for Code Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T20:11:39.185448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:11:39.185448Z digest=sha256:3aded8b301588aed765eb61650b0afdba5185def920de81b0d07e0fb14c514b9

Observation d2b91ee5-1df4-480e-90e0-d109c105da9c · inbound

Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling cites this paper.

Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling Optimizing Large Language Model Hyperparameters for Code Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:54:19.306149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:54:19.306149Z digest=sha256:615fcae8835287efcf8dbf1ce1111b3dbf9b5fbfb2cbc68ff83de1b441289a16

Observation 0069eb1d-92a4-47fc-8f5f-8921b2cbe2fe · inbound

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness cites this paper.

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness Optimizing Large Language Model Hyperparameters for Code Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T18:40:06.378538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:40:06.378538Z digest=sha256:2a625e504f78355f13a41e883673abe21cf4a4056637d5e647d29401cb9c7657

Observation 3be76ead-ada7-40c8-98a2-e2a91123e17f · inbound

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cites this paper.

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding Optimizing Large Language Model Hyperparameters for Code Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T23:39:04.018593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:39:04.018593Z digest=sha256:d5fac752cea73da59f090af8cc0db4aed744843b2e532f939d8ebc9bc93a5a7f

Observation 68b80470-9da6-4eb7-8f1a-8f74e0e41ac3 · inbound

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models cites this paper.

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models Optimizing Large Language Model Hyperparameters for Code Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.437669Z

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=2026-05-10T13:31:46.940449Z digest=sha256:a2fdcf69e75ad824187411fb85472a5deabd2bd81044c75b43099e0318c513bb

Observation 7ea26da5-93da-49d1-b42f-18e0bbad73e6 · inbound

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis cites this paper.

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis Optimizing Large Language Model Hyperparameters for Code Generation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T20:50:53.567415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:50:53.567415Z digest=sha256:c5aa853ad3c234e4d0b6c6f9e1ca519f882f119590eeb59f1001c9ba3e6ed5de

Observation a9588c68-1833-4815-ba40-4f0d540a80cc · inbound

R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge cites this paper.

R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge Optimizing Large Language Model Hyperparameters for Code Generation

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:46:11.134545Z

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=2026-06-28T22:00:58.971014Z digest=sha256:3bb444819c03658c2d489518aeb0397476a03e8be7e62a960d3b0b3623f38f33

Observation 7a80a425-3242-4ab6-a1e5-27e2088c18ce · 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 Optimizing Large Language Model Hyperparameters for Code Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T01:01:33.294719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:01:33.294719Z digest=sha256:4ac5998bf17b86be50302619fcf59614246b93e236310bab0a615bd51b277a94