Pith. sign in

Paper Citation Record · LEDGER

An Empirical Study of the Non-determinism of ChatGPT in Code Generation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.02828.

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

pith.paper-citation-record.v1
2308.02828 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:40:05.494011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:55:59.649374Z

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 f03f1396-e185-44d4-9960-42fa563fa4db · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:55:59.653750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:10d6e3747dcd8dcbb5b8f996583eef09e10cf3414f3229608d6e74cb60ccb3e4

Observation edcfbdb7-c434-4a4d-a75a-b37ee0f7422a · inbound

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation cites this paper.

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:40:51.582602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:57:34.386632Z digest=sha256:7c6b4a514894c31739173d75a45211213f15b90b459bb53e874fc74fd4d4dacb

Observation 1d1cc71e-c609-41cd-be06-c078ef862029 · inbound

Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation cites this paper.

Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:01:05.205896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:21:39.637962Z digest=sha256:aef8d9996919574ebca238ce0adb98af47c7b9ddc733e913ea4a8660c87b6756

Observation 8605fe87-f9ce-485e-a020-e9a7974deccc · inbound

Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models cites this paper.

Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:21:07.514412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:14:47.518940Z digest=sha256:da67ac68b5c371eee4b7762e5505e2f352cd74bd6ae2dd7287a0a9a4d1e94e21

Observation bf75eb89-5d89-4956-8e2c-226473f03b92 · inbound

Where Does the Noise Come From? A Variance-Components Decomposition of Non-Determinism in LLM Brand Answers cites this paper.

Where Does the Noise Come From? A Variance-Components Decomposition of Non-Determinism in LLM Brand Answers An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T05:40:05.494011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:40:05.494011Z digest=sha256:eeae7e36248a1e163ff5e1615ec65935be8ee2bf13d29c1f7e74c171cac78cf4