Pith Number
pith:77MUHPID
pith:2024:77MUHPIDDOLFBOPKT3NHSOZ76F
not attested
not anchored
not stored
refs pending
Phrase-Level Adversarial Training for Mitigating Bias in Neural Network-based Automatic Essay Scoring
arxiv:2409.04795 v1 · 2024-09-07 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{77MUHPIDDOLFBOPKT3NHSOZ76F}
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
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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.
Receipt and verification
| First computed | 2026-07-05T09:04:18.055830Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ffd943bd031b9650b9ea9eda793b3ff156af0b710a3949ae9d0118364d9e2c4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/77MUHPIDDOLFBOPKT3NHSOZ76F \
| 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: ffd943bd031b9650b9ea9eda793b3ff156af0b710a3949ae9d0118364d9e2c4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "01d042020162b331f789f41bd34f56f35b76d434ab92a2ec0fdbc5c35e6986e2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-09-07T11:22:35Z",
"title_canon_sha256": "f9e95c0b3928f8763dc0e211bf238801af2406c0bbb18bf0f32410cbd561156d"
},
"schema_version": "1.0",
"source": {
"id": "2409.04795",
"kind": "arxiv",
"version": 1
}
}