Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.08587.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:18.513846Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:46:35.070037Z
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 84432db3-a732-4e5b-a292-f7ec764fa4ad · inbound
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning cites this paper.
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:07:18.513846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08c92ee6-2ec0-4389-83d7-3708f1d96df3 · 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 CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:26.068585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66708166-a7c8-42d6-990a-e612e7094601 · inbound
TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration cites this paper.
TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:46:35.073751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.