Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2310.17623.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:04:55.376776Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation aac2b93c-33af-42fd-9be3-c62381b806c8 · inbound
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Proving Test Set Contamination in Black Box Language Models
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9cfa3985-199b-47ea-85c2-b13326b0d4d0 · inbound
LiveBench: A Challenging, Contamination-Limited LLM Benchmark Proving Test Set Contamination in Black Box Language Models
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 46758629-71e8-4b08-a4df-f06569258c15 · inbound
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance? Proving Test Set Contamination in Black Box Language Models
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09bf5eeb-7e7e-414f-a8c6-e6df7b607cf0 · inbound
LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Proving Test Set Contamination in Black Box Language Models
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff05ac5e-4b84-4abe-bf3a-d3bf79d327ac · inbound
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge Proving Test Set Contamination in Black Box Language Models
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2f3c6fd-1ea6-42c7-93a5-4daaccee9f63 · inbound
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation Proving Test Set Contamination in Black Box Language Models
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c32f891-3e89-45c4-b64b-937f3bcb1067 · inbound
Spectral Journey: How Transformers Predict the Shortest Path Proving Test Set Contamination in Black Box Language Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d03e316-85ff-4de6-9ea5-989c62c52be0 · inbound
Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Proving Test Set Contamination in Black Box Language Models
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ebef60e-02ce-4974-88e8-e1b3732d9cd9 · inbound
AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI Proving Test Set Contamination in Black Box Language Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d5f236f-2fa0-4c09-9b91-3952121237e2 · inbound
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints Proving Test Set Contamination in Black Box Language Models
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 766a0e8b-f878-4ff2-af4c-2d15b870a944 · inbound
SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks Proving Test Set Contamination in Black Box Language Models
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6c932fc7-89e8-471e-9157-f2d3fe42e545 · inbound
Dataset Watermarking for Closed LLMs with Provable Detection Proving Test Set Contamination in Black Box Language Models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d31c1837-ca49-4caf-a2a3-d9d96da1dc5e · inbound
Data Contamination in Neural Hieroglyphic Translation: A Reproducibility Study Proving Test Set Contamination in Black Box Language Models
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 824532d7-400d-40ed-8919-f33015637cc8 · inbound
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Proving Test Set Contamination in Black Box Language Models
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 94f875a4-f10d-42f6-9998-136ddd67eb62 · inbound
Interactive Evaluation Requires a Design Science Proving Test Set Contamination in Black Box Language Models
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 27fcf841-9a4e-44ef-8d5b-7eda51f7cc89 · inbound
Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Proving Test Set Contamination in Black Box Language Models
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 114e7f20-0f73-4110-a023-6717d66ddf4c · inbound
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Proving Test Set Contamination in Black Box Language Models
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f10255f9-bef7-4875-8408-e3c823662b4e · inbound
Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores Proving Test Set Contamination in Black Box Language Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.