Paper Citation Record · LEDGER

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.10583.

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

pith.paper-citation-record.v1
2507.10583 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:22:17.450459Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:30:50.134299Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:30:50.301731Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40d95899-2211-40e8-9caa-c25349b49288 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Yi: Open Foundation Models by 01.AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.386412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c84d6a18-dfbf-4a53-ab8d-26ea4a88dc56 · outbound

This paper cites b a s i c a l l y say i ti s 1−D.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection b a s i c a l l y say i ti s 1−D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:22:17.586667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e98ced8b-5b5b-4e0d-9981-e0a6db140033 · outbound

This paper cites In Proceedings of the 21st In- ternational Conference on Mining Software Reposito- ries, MSR ’24, page 394–406, New York, NY , USA.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection In Proceedings of the 21st In- ternational Conference on Mining Software Reposito- ries, MSR ’24, page 394–406, New York, NY , USA

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:22:17.668875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcc12f47-8625-41b7-bed7-8728820880de · outbound

This paper cites The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.415772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36950266-4941-48c5-8725-d2ffa9579451 · outbound

This paper cites an unresolved cited work.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:22:17.618894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e91a3fb1-e85f-40c2-b894-015a01dc9466 · outbound

This paper cites CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.434950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8cf9ae6-8c4d-49c9-a9ee-44b95985cc4f · outbound

This paper cites Enclose this summary within [ SUMMARY ] and [/ SUMMARY ] tags.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Enclose this summary within [ SUMMARY ] and [/ SUMMARY ] tags

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:22:17.604209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4334ab84-5d2f-4f14-9a61-1c421b641368 · outbound

This paper cites TACO: Topics in Algorithmic COde generation dataset.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection TACO: Topics in Algorithmic COde generation dataset

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.426395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63cea494-16ed-44fe-9104-7866d86e7ff1 · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Can AI-Generated Text be Reliably Detected?

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.440421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba84ffb-0ac4-4c3d-901b-8c660f8e8b74 · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Efficient Training of Language Models to Fill in the Middle

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:17.392318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2cd641-4ad5-4ec2-9e7c-9fcb1be473fe · outbound

This paper cites In The Thirteenth In- ternational Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection In The Thirteenth In- ternational Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:22:17.652820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93fc2803-64a4-470b-afb8-5fbf8e69566f · outbound

This paper cites Jessica Ji, Jenny Jun, Maggie Wu, and Rebecca Gelles.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection Jessica Ji, Jenny Jun, Maggie Wu, and Rebecca Gelles

Reference 2309

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:22:17.638328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation ee31a374-c6aa-472c-87a4-f12ee64d08ca · inbound

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios cites this paper.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios $\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T12:30:50.305460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.