Pith Number
pith:T2OH6PM2
pith:2022:T2OH6PM2QDBCNJKB23P5JMCAMK
not attested
not anchored
not stored
refs pending
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
arxiv:2205.04733 v2 · 2022-05-10 · cs.IR · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T2OH6PM2QDBCNJKB23P5JMCAMK}
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 | 2026-07-05T04:22:41.537325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e9c7f3d9a80c226a541d6dfd4b04062aabcfa51c3f4a8d6fca8fb0000813439
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T2OH6PM2QDBCNJKB23P5JMCAMK \
| 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: 9e9c7f3d9a80c226a541d6dfd4b04062aabcfa51c3f4a8d6fca8fb0000813439
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ed37fa0930661ba711b9c59fe80bfbc95cd35f5a1b486d236210fba44251e60",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2022-05-10T08:08:43Z",
"title_canon_sha256": "1b03af9de1859562333a6676b04c69a54ed63818c2ee8832744a13494b7d7fce"
},
"schema_version": "1.0",
"source": {
"id": "2205.04733",
"kind": "arxiv",
"version": 2
}
}