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Paper Citation Record · LEDGER

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2501.09653.

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

pith.paper-citation-record.v1
2501.09653 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:50:26.350896Z

measured 24 of 24 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:22:17.415772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:28:06.508570Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32cd6c9a-ed47-4d53-a604-fa560f507c42 · outbound

This paper cites The stack: 3 tb of permissively licensed source code, 2022.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The stack: 3 tb of permissively licensed source code, 2022

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.791526Z

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=2026-08-10T19:50:26.222861Z digest=sha256:f7a5e18f0b69d38fb3dbdaf98ef38e9bd109722f35b063d347091633ad572b88

Observation 9d79d3a3-843e-47f0-9daf-1b7e97c04b80 · outbound

This paper cites Redpajama: An open source recipe to reproduce llama training dataset, 2023.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Redpajama: An open source recipe to reproduce llama training dataset, 2023

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.775920Z

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=2026-08-10T19:50:26.229882Z digest=sha256:3c4828f89398cf6bea80c8055b6a45a094b2406fec83a88ee424d6d2eae41b71

Observation f1ec69a4-72ea-4a7a-ba15-18ff0a8612b6 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models StarCoder 2 and The Stack v2: The Next Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.236643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.236643Z digest=sha256:875f4635bd2f08009aeab8cae6820d3fd5fe1e7b8807c1a85d799e7c95df4d6d

Observation 61fbb405-c742-47ba-bd51-671564934b13 · outbound

This paper cites A catalog of data smells for coding tasks.ACM Trans.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models A catalog of data smells for coding tasks.ACM Trans

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.758844Z

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=2026-08-10T19:50:26.243437Z digest=sha256:ed4b2fcdbc79ecd088d9147bf51e320f019d0de5dfab265579b7b530f2aefa57

Observation c546c69e-978d-4b6d-ad92-baa32996cf85 · outbound

This paper cites The stack: 3 TB of permissively licensed source code.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The stack: 3 TB of permissively licensed source code

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.740445Z

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=2026-08-10T19:50:26.249488Z digest=sha256:1eeb01c046f8ea6ce7ad44a242f0b6c2483892999dfc124d429bad3df603ecce

Observation 582ad22a-532c-4cb4-88ce-174941e824ce · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.255810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.255810Z digest=sha256:52c5fb91a5e038b3299fea13a9c1aca4955da90a77cb233d8eb019b9a00ed714

Observation d475b252-2ae1-481c-9f95-8c6ad422a892 · outbound

This paper cites Codeparrot dataset.https://huggingface.co/datasets/transformersbook/codeparrot.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Codeparrot dataset.https://huggingface.co/datasets/transformersbook/codeparrot

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.722564Z

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=2026-08-10T19:50:26.261616Z digest=sha256:1ebe3ece2621059c23a42400b926d8a80d8d5979f1f71a30226dc4f25d7140ba

Observation 5a0a4397-ce97-4c2a-88d2-4621e41bc977 · outbound

This paper cites an unresolved cited work.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:50:26.705021Z

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=2026-08-10T19:50:26.267050Z digest=sha256:804e536417384711be54c125ca1efe71bebd345828bc3dc058a589d3f7d8704e

Observation eff1370b-756b-4a39-a1e1-b341cef9d4f2 · outbound

This paper cites An Interpretability Illusion for BERT.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models An Interpretability Illusion for BERT

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.272331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.272331Z digest=sha256:73aa46d33f08dd22b0a49c6ae6a427775334f76db404454f88649c9855f5500c

Observation 5d6c4f8a-1814-4f9d-a5db-917340256045 · outbound

This paper cites An exploratory investigation into code license infringements in large language model training datasets.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models An exploratory investigation into code license infringements in large language model training datasets

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.685896Z

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=2026-08-10T19:50:26.278788Z digest=sha256:3b4ff54d4aff32eac488393de81bf72785a54b919aeabcc7ea93ab52d1c76b73

Observation 6dc5b22e-3442-486c-89cb-d5656deac552 · outbound

This paper cites Starcoder: may the source be with you!Transactions on Machine Learning Research, 2023.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Starcoder: may the source be with you!Transactions on Machine Learning Research, 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.669535Z

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=2026-08-10T19:50:26.284665Z digest=sha256:953a6db844bc02c59a02fc4173155d90ce35e936d3e14f135ee03d5f3ed9c8bd

Observation 6218cef3-306b-49d1-bf6d-edc106f533e9 · outbound

This paper cites Cambridge University Press, USA, 2nd edition, 2014.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Cambridge University Press, USA, 2nd edition, 2014

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.647165Z

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=2026-08-10T19:50:26.289840Z digest=sha256:55a7fe3686ba2fb8396456ccdb2172d54b3f3b2481aa85b6c70a0f00c68e1800

Observation 74f867ac-3513-4f85-9bf0-9c41be3f13bf · outbound

This paper cites The adverse effects of code duplication in machine learning models of code.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The adverse effects of code duplication in machine learning models of code

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.624499Z

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=2026-08-10T19:50:26.295294Z digest=sha256:e75de2682fcacf919a346f35af5ba6cbca0dce6b11959aab971afaaf5b24c5e1

Observation 46e3267d-f668-4896-8794-ae2ce8aa7a92 · outbound

This paper cites an unresolved cited work.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:50:26.602813Z

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=2026-08-10T19:50:26.301070Z digest=sha256:0ba4b589d13de5b64fce6861fbee09d37150dbe19fac547a0bd28ae4f245b9f1

Observation ff82f540-b4ed-4ab6-b4ce-fb3bc8ba6d3c · outbound

This paper cites an unresolved cited work.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:50:26.584472Z

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=2026-08-10T19:50:26.306310Z digest=sha256:facfa5cfcf5810eb8efe6b8934523c1dc2a7da8875bef8e7370affa0b6eeb474

Observation b2101cb2-3c37-4de4-ba9c-606dbabf325a · outbound

This paper cites an unresolved cited work.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:50:26.567725Z

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=2026-08-10T19:50:26.311559Z digest=sha256:3e38dad68a51e394e4933e2f5618da8b95f57c1576c315a8d05c8174df5c200a

Observation 23482c3a-1483-45ac-91ea-ad8626ff1d4b · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models CodeGemma: Open Code Models Based on Gemma

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.319592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.319592Z digest=sha256:aaf2c939712f78befde67efefe78426a80d03ae0524073e182642c1c3b4075a3

Observation ecdc893f-4828-4d3a-8582-72f04ebfcdd1 · outbound

This paper cites Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.326780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.326780Z digest=sha256:2017d6332ad37e0c387ad3f77d71b5d2a6cd6db3a59819ca98ef66c9e558fd3f

Observation 8195bafe-a8e1-44aa-afb6-be5c0c8f5907 · outbound

This paper cites Is this code written in english? a study of the natural language of comments and identifiers in practice.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Is this code written in english? a study of the natural language of comments and identifiers in practice

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.550097Z

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=2026-08-10T19:50:26.333100Z digest=sha256:401c16669fe41506fe290c3cf038dcc2c8ee821aeb02e446b5a92a56e52cb7a1

Observation 1f44501d-be99-4ba8-a249-ddf3e8540134 · outbound

This paper cites Part of speech tagging: a systematic review of deep learning and machine learning approaches.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models Part of speech tagging: a systematic review of deep learning and machine learning approaches

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:50:26.531393Z

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=2026-08-10T19:50:26.338238Z digest=sha256:dfc48b5e15027272ec78288209782bc2212a7026858a9c5670ed3ac2d040e801

Observation 3e057c20-0f21-4e07-b6ee-e3367cecabe9 · outbound

This paper cites The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.343962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.343962Z digest=sha256:54b91c79af5320d866e46349bca4740dcf8ba8c6d79aea9d8d019c4580e2aea5

Observation 7d9b122a-cda0-4ea2-99e0-2e1fa64e5b17 · outbound

This paper cites LLM Dataset Inference: Did you train on my dataset?.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models LLM Dataset Inference: Did you train on my dataset?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.350896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.350896Z digest=sha256:35d7c39a81b09774ae2d262854d4f2426acdfbef2e4a3930c0594aff1670cff2

Pith citing papers

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

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

$\texttt{Droid}$: 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.

source=pdf_text observed=2026-08-06T18:22:17.415772Z digest=sha256:0feeb951729330f58e54b81fafabd865e59e027a07b2e0174feefa557a8733c1

Observation 38caf268-6979-4b42-8769-078f2e11a548 · inbound

Automated Attention Pattern Discovery at Scale in Large Language Models cites this paper.

Automated Attention Pattern Discovery at Scale in Large Language Models The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-17T02:20:31.035222Z

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=2026-05-13T18:26:01.863346Z digest=sha256:6620daea7d79851c8177b4ccbed4108a1fa75af34d146d52b432ee9849d77fcb