Pith Number
pith:UCF5VD72
pith:2026:UCF5VD72PKZ5IY5TXIZU3C4ROP
not attested
not anchored
not stored
refs pending
Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation
arxiv:2608.04602 v1 · 2026-08-05 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UCF5VD72PKZ5IY5TXIZU3C4ROP}
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
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4
Citations
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Replications
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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.
Receipt and verification
| First computed | 2026-08-06T01:36:14.968578Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a08bda8ffa7ab3d463b3ba334d8b9173f6892e88de8472f170d80b5b5478c337
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UCF5VD72PKZ5IY5TXIZU3C4ROP \
| 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: a08bda8ffa7ab3d463b3ba334d8b9173f6892e88de8472f170d80b5b5478c337
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2534ddd407aef40df5bded8a9c5859b7d6320acc6174b3bab403e13cc4d77d2e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-08-05T09:06:45Z",
"title_canon_sha256": "294094a8ab20eca39b0605794afd937429a915b7132e65b6d088c62fa16e123b"
},
"schema_version": "1.0",
"source": {
"id": "2608.04602",
"kind": "arxiv",
"version": 1
}
}