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Paper Citation Record · LEDGER

Comparing Human and LLM Generated Code: The Jury is Still Out!

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2501.16857.

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

pith.paper-citation-record.v1
2501.16857 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:37.494828Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f6b83f0-b1d9-47ad-be63-e0780698eeb7 · inbound

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study cites this paper.

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:37.494828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:37.494828Z digest=sha256:16190b221135c41cb92161e681c69c1396c53e2850c4b095471bd8e199f7baaf

Observation c134dd97-fc0f-4edb-addd-e1dad793e0b6 · inbound

Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis cites this paper.

Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:09:33.701678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:09:33.701678Z digest=sha256:bedc602bf386dd19080fd17faecf859f9af2f87933b8d3b07ccfbd7ff1b54ffb

Observation fcdb8174-1fe0-487a-8e1a-f27a3c605442 · inbound

An Evaluation of Large Language Models for Detection of Malicious Python Packages cites this paper.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T22:38:53.647574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:38:53.647574Z digest=sha256:283dfc93214e8c9f0ef1822c76ff1e003e9e74d701dc2b8231a0ea9798688be3

Observation 150611b9-7834-407e-868f-08ca6722493f · inbound

Do AI Coding Agents Log Like Humans? An Empirical Study cites this paper.

Do AI Coding Agents Log Like Humans? An Empirical Study Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:55:59.750128Z

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=2026-05-10T16:54:15.236541Z digest=sha256:556e3af9ff893a4aca5846480d0ae7538f3bf1eac3bd888a16a428f9209eccb2

Observation f755d1a5-18bf-4cb6-aefe-026e34873e7d · inbound

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study cites this paper.

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:31:12.822882Z

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=2026-05-08T08:43:32.451629Z digest=sha256:fbe93274a22a2a18abceb88bca40757ce4e5830f115d7140a0d7c3eef260025f

Observation 1884c763-02cf-440f-a5e1-b4b8589fb5b8 · inbound

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study cites this paper.

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:31:25.984452Z

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=2026-05-12T01:00:04.983344Z digest=sha256:a31ac5b47c6481d4fa8d52ec118a095e34756da28b6814587b6b6ccf644bde81

Observation 2db5d987-5211-4b4e-933b-8449e2faf22f · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:19:23.643924Z

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=2026-05-14T18:18:05.384433Z digest=sha256:9a1bd366535cade917836e49ed9540c8119cc4436e63dff23344864074cc0d9d

Observation 951a7ddf-4b82-49ed-97cd-d282035b19a2 · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T05:12:32.159210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:12:32.159210Z digest=sha256:baca12a4d5aaea3918dda0f023cf2c8fc270802c29ff4ed77fd60e23475577bf

Observation 46d3df93-7c78-43ec-bedf-64d804fed25a · inbound

Can LLMs Produce Better Object-Oriented Designs than Human-Involved Development? cites this paper.

Can LLMs Produce Better Object-Oriented Designs than Human-Involved Development? Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T04:13:01.287536Z

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=2026-05-20T04:10:32.475989Z digest=sha256:0671ff8d6da2941e5225d8dc93e4a75cc59556cf04f5ad8479c83ccb9b2f0a25

Observation d4130318-d011-4b9b-9aca-6f4d06f900b9 · inbound

At What Cost? Software Developers' Well-Being in the Age of GenAI cites this paper.

At What Cost? Software Developers' Well-Being in the Age of GenAI Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:21:03.277374Z

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=2026-05-22T04:19:36.866702Z digest=sha256:7951a80968d0d7a8a91ef9aa71138d5e0bc8432f0c3158772f9a43130e1f1f46

Observation 4329ee55-0b83-4256-803b-4974976c85a8 · inbound

How to Compare the Security of Code Written by Humans to LLM-generated Code cites this paper.

How to Compare the Security of Code Written by Humans to LLM-generated Code Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-28T21:42:39.501625Z

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=2026-06-28T21:36:46.151650Z digest=sha256:744469154aeafa3b843408c1b5e8b441849cf14c1ffaddeb942492dca6a6f5cf

Observation aab2e7a5-2dd8-442a-bb0b-3a57bc2cbec0 · inbound

How to Compare the Security of Code Written by Humans to LLM-generated Code cites this paper.

How to Compare the Security of Code Written by Humans to LLM-generated Code Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:28.813832Z

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=2026-07-01T07:36:57.425447Z digest=sha256:94f61b4c059b193594b1b46dad82da8f97e8b2af4b0ed05d9f0cfa28fceaa7e7

Observation 1c41d156-96b9-4dd5-9df1-d08f354b37fd · inbound

AIP: A Graph Representation for Learning and Governing Agent Skills cites this paper.

AIP: A Graph Representation for Learning and Governing Agent Skills Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:36:47.763287Z

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=2026-06-28T05:58:37.538980Z digest=sha256:e48aca9b5760c15cb30f328d2afd8d8a5d02a6ebbf2cfa1ad38b12c6b57c5e80