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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 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

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 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:bfdc45b7e549ad956ede7a1d52cce798a19ebebd2d078bad05ad563003a71408

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:26:01.863346Z digest=sha256:dfb6a3091753c359fa47dd732e16a11745dfcc3bab513c56430bff188b5408fb