Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T13:18:42.998060Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.27030.
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, observed 2026-07-30T13:18:42.998060Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
22 of 22 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 98ddd0ed-ff96-44b8-9dee-b8dc9090402c · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models CVE discoveries
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d96bcd0b-3ad9-4aca-a2d6-db8a5bb36d10 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87747b3d-b564-4ea2-9f8b-4a375cdf2bf4 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Boland, Jr
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0f52d41-dd1f-467d-909f-798266ba80ad · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Benchmarks as random variables—modeling overdispersion in LLM evaluation
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 385a3e53-9d23-48a9-87ea-3f30b781b8d4 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Wagner, Baishakhi Ray, and Yizheng Chen
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f68a07f7-fef4-48e3-9334-9d84af6dc568 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0db7a4ed-3f18-4419-9164-98a34671c457 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models System over model: Zero-day discovery at the jagged frontier
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3fc9bb-3ba5-4884-a9ea-e79d061daa7d · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models AI cybersecurity after Mythos: The jagged fron- tier
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e24f19c-054f-44a4-8e00-0ae949a8e71f · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Hoffman and Andrew Gelman
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae369144-d943-414b-ad01-b9c1412af898 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models SEC-bench: Automated benchmarking of LLM agents on real-world software security tasks
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbe7347d-45c5-4269-a580-7f1323190922 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Lord.Applications of Item Response Theory to Practical Testing Problems
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7455afa5-f7a2-4361-9416-2a3f76433378 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models RealVuln: Benchmarking Rule-Based, General-Purpose LLM, and Security-Specialized Scanners on Real-World Code
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc2f909f-e16a-444f-ae64-f6d02bf6ca78 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Danish Institute for Educational Research, Copenhagen, Denmark, 1960
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ccad7c8-4ad7-48d3-b21e-80baa8ef0c0e · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Reckase.Multidimensional Item Response Theory
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bf8a4c84-2b27-4cc2-b726-839f5db90ec8 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Silent failures in LLM vulnerability detection: The expensive model trap
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 147fa084-dd63-4460-8aa2-60bb73f78da8 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d078f70-f717-4164-b8fd-4e05c3f36c68 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Snyk vulnbench JS 1.0: Can LLMs find the same bugs twice? arXiv preprint arXiv:2606.15762, June 2026
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d634bd98-32b5-4de8-8b8a-f66d46bc24df · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Practical bayesian model evaluation using leave-one-out cross-validation and waic.Statistics and Computing, 27(5):1413–1432, 2017
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32cc7aa7-6788-438e-bbbe-47399c85e85d · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models The agentic vulner- ability coverage map
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d6406fa-1379-48be-b294-68a0122a8ab3 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Teo, Yiling Lou, Yebo Feng, Chong Wang, and Dinil Mon Divakaran
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00817c45-f84a-43ed-947f-5a9cb5fd81c1 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Zhang et al
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d3aaacc-f425-4f5b-a37c-ef6708357046 · outbound
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.