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Paper Citation Record · LEDGER

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models

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.

pith.paper-citation-record.v1
2607.27030 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:18:42.998060Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98ddd0ed-ff96-44b8-9dee-b8dc9090402c · outbound

This paper cites CVE discoveries.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models CVE discoveries

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.886066Z digest=sha256:00e7f617d3a98654b49a22264e70c3146bfb9decde7e6cc54ad1c79d471f7aa9

Observation d96bcd0b-3ad9-4aca-a2d6-db8a5bb36d10 · outbound

This paper cites an unresolved cited work.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-30T13:18:42.891640Z digest=sha256:d12b645bc44f000c8ff4a163b2cfbff547caa38c13c8cc380ba8977811acfea7

Observation 87747b3d-b564-4ea2-9f8b-4a375cdf2bf4 · outbound

This paper cites Boland, Jr.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Boland, Jr

Reference 3

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source=pdf_text observed=2026-07-30T13:18:42.896657Z digest=sha256:524a822f5de7e810ad798f2a40417b4f25d250a03b0a6a0a89f91468d50c8c32

Observation a0f52d41-dd1f-467d-909f-798266ba80ad · outbound

This paper cites Benchmarks as random variables—modeling overdispersion in LLM evaluation.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Benchmarks as random variables—modeling overdispersion in LLM evaluation

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.904149Z digest=sha256:46d79b681eaa914d79fc16ed99a2f5bb53cb8ee8173c81e9d6d25f15579dd3a5

Observation 385a3e53-9d23-48a9-87ea-3f30b781b8d4 · outbound

This paper cites Wagner, Baishakhi Ray, and Yizheng Chen.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Wagner, Baishakhi Ray, and Yizheng Chen

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.909371Z digest=sha256:439cd887f8c344f81740934c736875ce4d0336dc662806c31977f46c6bfbd6d6

Observation f68a07f7-fef4-48e3-9334-9d84af6dc568 · outbound

This paper cites an unresolved cited work.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Unresolved cited work

Reference 6

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no resolver link, observed 2026-07-30T13:18:42.915530Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.915530Z digest=sha256:2ae1c83142b5d24e556fa8b832b24ec1bc637d9d866eab870c9bcd133b181cae

Observation 0db7a4ed-3f18-4419-9164-98a34671c457 · outbound

This paper cites System over model: Zero-day discovery at the jagged frontier.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models System over model: Zero-day discovery at the jagged frontier

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.920696Z digest=sha256:6bdbf0cfadb556fb0f4a6eeb03c2ced00c07442f7845087a95fcd15ea41b9c49

Observation dd3fc9bb-3ba5-4884-a9ea-e79d061daa7d · outbound

This paper cites AI cybersecurity after Mythos: The jagged fron- tier.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models AI cybersecurity after Mythos: The jagged fron- tier

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.925753Z digest=sha256:76aa1724afb6d0be82c0395293dd341fd651a80253abb6c33e2d574e7c156ff3

Observation 7e24f19c-054f-44a4-8e00-0ae949a8e71f · outbound

This paper cites Hoffman and Andrew Gelman.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Hoffman and Andrew Gelman

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.930502Z digest=sha256:1f9d8cd877737ba1c8c193cb19d62fcfa49c0d216387870c0421fff41ee2f747

Observation ae369144-d943-414b-ad01-b9c1412af898 · outbound

This paper cites SEC-bench: Automated benchmarking of LLM agents on real-world software security tasks.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.934946Z digest=sha256:0416801decc53cb09d280a0cfa050b33a05ff158116eae9df9529d22d4552097

Observation bbe7347d-45c5-4269-a580-7f1323190922 · outbound

This paper cites Lord.Applications of Item Response Theory to Practical Testing Problems.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Lord.Applications of Item Response Theory to Practical Testing Problems

Reference 11

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source=pdf_text observed=2026-07-30T13:18:42.939629Z digest=sha256:cec169fadd7bb2d8008b65917ec7efe46510967ccd5412a8832d6e5eb189bcd2

Observation 7455afa5-f7a2-4361-9416-2a3f76433378 · outbound

This paper cites RealVuln: Benchmarking Rule-Based, General-Purpose LLM, and Security-Specialized Scanners on Real-World Code.

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

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source=pdf_text observed=2026-07-30T13:18:42.944595Z digest=sha256:320af7d055d49949e77ecae7873842ffbe600ea3ba8d50ead504d31be9e74dc4

Observation cc2f909f-e16a-444f-ae64-f6d02bf6ca78 · outbound

This paper cites Danish Institute for Educational Research, Copenhagen, Denmark, 1960.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Danish Institute for Educational Research, Copenhagen, Denmark, 1960

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.949451Z digest=sha256:1f2e76680c8bd34f8ad40f59b6492bcc641a4f481b0a1c7251f8415eb5c2062e

Observation 8ccad7c8-4ad7-48d3-b21e-80baa8ef0c0e · outbound

This paper cites Reckase.Multidimensional Item Response Theory.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Reckase.Multidimensional Item Response Theory

Reference 14

Resolution
verified exact
doi, observed 2026-07-30T13:20:50.987006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-30T13:18:42.954498Z digest=sha256:7c56189493d417f87e20b92fc50c852c23ff040cfedf3b7595440d4aa75884f1

Observation bf8a4c84-2b27-4cc2-b726-839f5db90ec8 · outbound

This paper cites Silent failures in LLM vulnerability detection: The expensive model trap.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Silent failures in LLM vulnerability detection: The expensive model trap

Reference 15

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source=pdf_text observed=2026-07-30T13:18:42.959827Z digest=sha256:b6c984d36f2b7a35c7b22b3f7b0b4aac374bfc39b5e434184efa4cefeba877be

Observation 147fa084-dd63-4460-8aa2-60bb73f78da8 · outbound

This paper cites DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection

Reference 16

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source=pdf_text observed=2026-07-30T13:18:42.964641Z digest=sha256:d52b41b1dc45ac5ec8f73a7e3efcd95d8511e441b84bdbac4e995ea8b29f9494

Observation 4d078f70-f717-4164-b8fd-4e05c3f36c68 · outbound

This paper cites Snyk vulnbench JS 1.0: Can LLMs find the same bugs twice? arXiv preprint arXiv:2606.15762, June 2026.

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.969499Z digest=sha256:2773c5734fb43e391629c071e26e0e760be84a50b2d97a23af9e8411350f1ed9

Observation d634bd98-32b5-4de8-8b8a-f66d46bc24df · outbound

This paper cites Practical bayesian model evaluation using leave-one-out cross-validation and waic.Statistics and Computing, 27(5):1413–1432, 2017.

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

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source=pdf_text observed=2026-07-30T13:18:42.975611Z digest=sha256:b3a06431ae46489331456fd527a7a41f02ec361ed6bdfffb6f15019a7538f3fd

Observation 32cc7aa7-6788-438e-bbbe-47399c85e85d · outbound

This paper cites The agentic vulner- ability coverage map.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models The agentic vulner- ability coverage map

Reference 19

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source=pdf_text observed=2026-07-30T13:18:42.981593Z digest=sha256:9226c0accf5b90e7a67761ba95655929041549baccc1665b83fb6b185c01067a

Observation 0d6406fa-1379-48be-b294-68a0122a8ab3 · outbound

This paper cites Teo, Yiling Lou, Yebo Feng, Chong Wang, and Dinil Mon Divakaran.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Teo, Yiling Lou, Yebo Feng, Chong Wang, and Dinil Mon Divakaran

Reference 20

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source=pdf_text observed=2026-07-30T13:18:42.987475Z digest=sha256:214655c81bc6db3af1272c23c52eb6d5118714fa12b8019475b400f06aea3278

Observation 00817c45-f84a-43ed-947f-5a9cb5fd81c1 · outbound

This paper cites Zhang et al.

HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models Zhang et al

Reference 21

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source=pdf_text observed=2026-07-30T13:18:42.992728Z digest=sha256:f175b15162c106e8fa9a70bbfd767818e8c746aa7d816d855c3fd678512337c1

Observation 0d3aaacc-f425-4f5b-a37c-ef6708357046 · outbound

This paper cites Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks.

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

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source=pdf_text observed=2026-07-30T13:18:42.998060Z digest=sha256:becb939fb88d41b07063aea715743beabcae7863986d73a53d6d5eb8e0b70e50

Pith citing papers

No inbound Pith citation observations are available.