Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2407.12844.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:23:53.806181Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:28:58.087704Z
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 e90a0b89-3763-4ded-b0ac-f717c25c9ddd · inbound
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models cites this paper.
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:38:25.862946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d40505a-3946-4f22-8c5e-6efaccecf898 · inbound
Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs cites this paper.
Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:23:53.806181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd35b406-d089-423a-ade4-f0b92e37ae66 · inbound
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models cites this paper.
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:08:09.475795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d6133d1-c2e2-4143-8d7f-6fd5889bdb46 · inbound
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law cites this paper.
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:00.775227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e1005c1-f974-401e-b4b1-1b1040bab0af · inbound
Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead cites this paper.
Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:12:55.759627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1e313c25-af52-415a-8245-306e89ebdefc · inbound
Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees cites this paper.
Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:50:59.571592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 471cbdb5-6644-4b77-8c5b-0595ff536f0d · inbound
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration cites this paper.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.694144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6229044-6503-4080-99b2-6ee5ecc8fcca · inbound
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models cites this paper.
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:06:13.574332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 51e162ca-9c1a-4458-8237-0c2b8b11f6a3 · inbound
Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation cites this paper.
Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T22:52:45.629897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39807472-4816-4985-b804-9c3523e29efa · inbound
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results cites this paper.
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T16:58:43.293342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9f99d01b-c72f-486b-ac57-0e4c82e19be4 · inbound
AGC-Bench: Measuring Artificial General Creativity cites this paper.
AGC-Bench: Measuring Artificial General Creativity metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:36:56.069253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23705eed-4c7b-4b28-81e6-563dc571beeb · inbound
AGC-Bench: Measuring Artificial General Creativity cites this paper.
AGC-Bench: Measuring Artificial General Creativity metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T21:28:58.089705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aa4f8dd3-6f04-4252-9483-c0a11dc34989 · inbound
Safety, or Just Capability? A Validity Audit of Agent-Safety Benchmarks cites this paper.
Safety, or Just Capability? A Validity Audit of Agent-Safety Benchmarks metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:45:58.290920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9241b1ca-3a78-41bb-9ad6-6c35e8772641 · inbound
Item Response Theory for AI Safety cites this paper.
Item Response Theory for AI Safety metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:39:49.447997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.