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Paper Citation Record · LEDGER

DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.13204.

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

pith.paper-citation-record.v1
2408.13204 v1

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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:46:56.341399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:31:26.981966Z

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 1c67f855-4bb5-4aa2-a3c7-80e532444662 · inbound

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues cites this paper.

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:56.341399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:56.341399Z digest=sha256:ddc83f65605231dea1442b2b7f8da36fc2595603fdcb8a14807bd6e92a3f682c

Observation 92e580f4-0cbf-46de-b1a7-2d718e20e7ab · inbound

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar cites this paper.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.702302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.702302Z digest=sha256:472f5186a54b859c853255bc9fc34955fb934281514fa7c28846e98289ef57ba

Observation bf31d789-8049-4b07-ab27-d25861929a81 · inbound

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation cites this paper.

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:26.603500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:26.603500Z digest=sha256:f7aa6e755f2b211e730e91b841217ce1bdeff8f438fd9885457ec60c573e15cd

Observation 90c2f426-792a-408d-b064-2cb424a1bd24 · inbound

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation cites this paper.

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:26.983652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T10:33:28.276228Z digest=sha256:eae153b7baaddd25c3690e6e3c932024440211461c3953ffd17ac5d958a96be5

Observation b57e356d-95fe-4c7e-8bcf-3c94a0a4bfae · inbound

To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing cites this paper.

To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T01:30:19.626200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:30:19.626200Z digest=sha256:2b0892f66d3de4014e29f51cfef3d5d0917bf2be52daeae1afa3a1cc872c3f2d