Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2412.18573.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:37:38.185745Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:22:39.562491Z
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 a0af9734-15f1-45dc-acae-13acc96ead33 · inbound
OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution cites this paper.
OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:58.501148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c60a45d-133e-47b6-ad9b-36028ea59cd5 · inbound
LLM Code Customization with Visual Results: A Benchmark on TikZ cites this paper.
LLM Code Customization with Visual Results: A Benchmark on TikZ Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:37:38.185745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b56dff38-2269-4311-9d09-2d1988dba53b · inbound
OSS-Bench: Benchmark Generator for Coding LLMs cites this paper.
OSS-Bench: Benchmark Generator for Coding LLMs Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:41:08.952533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e1fe199-bb2d-41af-97c4-c0f839cd60d5 · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:41.642717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 004e92b6-2cf3-4757-afd8-e981219f7fd5 · inbound
Context-Aware CodeLLM Eviction for AI-assisted Coding cites this paper.
Context-Aware CodeLLM Eviction for AI-assisted Coding Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:20:20.078029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75df892a-b039-4a0a-81ac-b00c35f00305 · inbound
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses cites this paper.
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:40:02.933462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9837e94-f9df-4ab1-a3df-45116d0bbc1d · inbound
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies cites this paper.
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:26:09.930254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e04dcb25-6b34-4830-802c-5ef9bcf4084a · inbound
Probing Privacy Leaks in LLM-based Code Generation via Test Generation cites this paper.
Probing Privacy Leaks in LLM-based Code Generation via Test Generation Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:22:39.564606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e0ea7035-782e-4f98-b107-63d93e71f17e · inbound
PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents cites this paper.
PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:11:55.334757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 001b658e-aba6-4c7a-bf78-1504a1c16f58 · inbound
RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models cites this paper.
RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:57:40.738151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.