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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 2026-08-14T06:32:32.682623+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=sha256:7643a766b14232d59e2374c08a256ab2055705d4d96b716726b7779726a6c416

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=sha256:9dabdafb78d21fe42c62a051b89fe2bea0fb1c1d3dca1a20c7d3a4aa145cc839

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=sha256:9042e7b60fc593862054412f2bff60834692b1b2dec7938f2830dce187e380ac

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:baba88a64bd1a03b970d64718017a4f8a7a37a71fc72f057987536f8ad73f37e

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:f6098253e205fd87879814fd0a668734e92766d0138682784f8d2cdc971f98b3

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:18:42.915530Z digest=sha256:3f03d186be5c4b89837d89b5a96f6be092a57838ec46d14b207a537f7ac46119

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=sha256:960b5b53c0f35f605ed1d84191e6e0632a076ea325f96698c0fa1f42d3e92080

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=sha256:13cc532d68af146d1eb658387d0fd53802919f7f2334cbe6d3af6336c992dc42

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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source=pdf_text observed=2026-07-30T13:18:42.930502Z digest=sha256:427915fb9f4829033f66e4eaed4601158bc04a2e3c87892b1856b2ffa7f48dce

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=sha256:66f9a26f81cd5acdfb02383bbc4598169b2874eeb636391542185d98f543ca62

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=sha256:5d1a8e63fa4f0fdcaf90aa59bc3a4271b23b47bd37f446f838811fc130b36d8a

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=sha256:852a26847b85e7ceb6f28f029564395ac9d97fd1d003868d1e06f1dc2749e136

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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source=pdf_text observed=2026-07-30T13:18:42.949451Z digest=sha256:d6db4bd28e8e55dedaa0c0babeab9ee3d0121ecd1c99c18e243e7d95355f560c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-30T13:18:42.954498Z digest=sha256:47b1104dffce3d8e1c3da6717ded11ab6b31f6486a1d5acc6d714643ea9e3acc

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=sha256:65b8f267d800aa7af6fbbef157893859fbb83a0e04f45217a818d84a0b516451

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=sha256:865c81e76a5537b6ce5f9ed050c283093359e1274005a4ebc6650e095ba971fd

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:c34ecd213e41d65e7011fdfa89965d249e4a371419cb92846f25c895ded2c42f

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=sha256:843644233ab98fbced6d951117341e995aa796feeb528e670170e9aba2901e46

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=sha256:76915ddfa20825013c29dafff2770d1c4394840ad8046e96c81b60429bc74f3a

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=sha256:1ba64168c2c426ea0cd72cc9055a96dcab241a07b5156e4e447a10cb48ed5d7c

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:fb1fe07b617f6d3acd6219b5cf1dd90b626adf4a446717e62d6d9bb313337251

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:a06433f258413a8ea5425233e46800ecb2310b4263c9abdf7a6c497b73868685

Pith citing papers

No inbound Pith citation observations are available.