Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2210.17283.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:34.324865Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:48:58.502381Z
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 adc3e0bd-3118-4023-ae83-3f4d5135fec9 · inbound
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications cites this paper.
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:06:08.386706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19e85fdc-0e94-4e91-9a3f-27c715cd5d57 · inbound
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data cites this paper.
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:39:37.080296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a474a738-f372-4842-8fb0-114ee55c10ad · inbound
Multi-megabase scale genome interpretation with genetic language models cites this paper.
Multi-megabase scale genome interpretation with genetic language models CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:42:25.343723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18c28f65-27a0-410d-9b93-3adf290dfadf · inbound
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization cites this paper.
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:53:11.076935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 028352cd-62a5-468d-96ee-40007211cd0d · inbound
Achievable distributional robustness when the robust risk is only partially identified cites this paper.
Achievable distributional robustness when the robust risk is only partially identified CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:28:00.227954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f46477f-dae6-468c-8dbd-5ec334b6ae19 · inbound
Causality-Inspired Robustness for Nonlinear Models via Representation Learning cites this paper.
Causality-Inspired Robustness for Nonlinear Models via Representation Learning CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:36:34.324865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef839bb-e848-40d5-a172-edfede8c32f1 · inbound
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:48:58.625556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 742fbeb6-9c3a-403d-8344-0ad4e8786fe4 · inbound
Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data cites this paper.
Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T17:56:16.958667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d110cee-e692-4899-bf69-e8adba4cebb9 · inbound
Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data cites this paper.
Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T06:58:33.534576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.