Pith Number
pith:3GGMYCLJ
pith:2025:3GGMYCLJ33GD5ZMXU7YG3MM4BK
not attested
not anchored
not stored
refs pending
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
arxiv:2502.05332 v2 · 2025-02-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GGMYCLJ33GD5ZMXU7YG3MM4BK}
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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claim
4
Citations
5
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:21:06.716300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d98ccc0969decc3ee597a7f06db19c0a9f44719c62f769e5a430b6fa20ce9f30
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GGMYCLJ33GD5ZMXU7YG3MM4BK \
| 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: d98ccc0969decc3ee597a7f06db19c0a9f44719c62f769e5a430b6fa20ce9f30
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "168a15c0b6bce65b9fc486e31417dee2cdd5ca0da404160947b8efa00b0f2dd9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-07T21:13:31Z",
"title_canon_sha256": "669d102abf7e8bda05bac6bb8288765e38cd2daf02fd04e46bc2e5cf4346e6b0"
},
"schema_version": "1.0",
"source": {
"id": "2502.05332",
"kind": "arxiv",
"version": 2
}
}