Pith Number

pith:25MANYIA

pith:2024:25MANYIAAPJGDHWNLJGFGUBVWS

not attested not anchored not stored refs pending

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity

Mengyun Tang, Pengfei Jing, Sen Nie, Shi Wu, Xiaorong Shi, Xiapu Luo, Xing Zheng, Yong Yang

arxiv:2412.20787 v3 · 2024-12-30 · cs.CR · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{25MANYIAAPJGDHWNLJGFGUBVWS}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

5 papers in Pith

HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps

Receipt and verification

First computed	2026-07-05T09:56:58.803110Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d75806e10003d2619ecd5a4c535035b4a508cbfbefe8fe41e3dad90fc304dcba

Aliases

arxiv: 2412.20787 · arxiv_version: 2412.20787v3 · doi: 10.48550/arxiv.2412.20787 · pith_short_12: 25MANYIAAPJG · pith_short_16: 25MANYIAAPJGDHWN · pith_short_8: 25MANYIA

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/25MANYIAAPJGDHWNLJGFGUBVWS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d75806e10003d2619ecd5a4c535035b4a508cbfbefe8fe41e3dad90fc304dcba

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "92e551ea1df9c87b9e1322dec0436a9244208028044af98fb0198e1cbfa8fa47",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CR",
    "submitted_at": "2024-12-30T08:11:54Z",
    "title_canon_sha256": "08a7b48e067990b2c99be4196d24c852e0651c38bc822215a72aed0067f7d4c2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.20787",
    "kind": "arxiv",
    "version": 3
  }
}