Pith Number

pith:SGJNZZGT

pith:2026:SGJNZZGT7I5BN6BYGLL4NBG5ZX

not attested not anchored not stored refs pending

The Adversarial Discount -- AI, Signal Correlation, and the Cybersecurity Arms Race

James W. Bono

Full signal cross-correlation neutralizes the attacker's structural advantage from multiplying attack surfaces in AI cybersecurity contests.

arxiv:2605.04336 v2 · 2026-05-05 · econ.TH · cs.CR · cs.GT

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{SGJNZZGT7I5BN6BYGLL4NBG5ZX}

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.

Claims

C1strongest claim

With full cross-correlation, the arms race ratio is independent of the number of attack surfaces: the attacker's structural advantage from surface proliferation is completely neutralized.

C2weakest assumption

The specific functional form through which attacker investment erodes defensive effectiveness conditionally (the adversarial discount) and the assumption that signal cross-correlation can be treated as a controllable structural parameter that reaches full strength.

C3one line summary

In a multi-surface cyber contest model, full signal cross-correlation neutralizes the attacker's advantage from surface proliferation while zero correlation makes per-surface defense effectiveness vanish as surfaces increase.

Receipt and verification

First computed	2026-05-20T00:01:42.711281Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9192dce4d3fa3a16f83832d7c684ddcdd588b913d75d3cbd57e9284481571322

Aliases

arxiv: 2605.04336 · arxiv_version: 2605.04336v2 · doi: 10.48550/arxiv.2605.04336 · pith_short_12: SGJNZZGT7I5B · pith_short_16: SGJNZZGT7I5BN6BY · pith_short_8: SGJNZZGT

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/SGJNZZGT7I5BN6BYGLL4NBG5ZX \
  | 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: 9192dce4d3fa3a16f83832d7c684ddcdd588b913d75d3cbd57e9284481571322

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "78712494881070057a63101ec39aaf7537e2863d51a7a541c7fbd1ca90324213",
    "cross_cats_sorted": [
      "cs.CR",
      "cs.GT"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "econ.TH",
    "submitted_at": "2026-05-05T22:43:07Z",
    "title_canon_sha256": "d6bdb50db7a7b569638d9eccb94343c0c0ae317856120af3ed2dd58952f9a138"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04336",
    "kind": "arxiv",
    "version": 2
  }
}