Pith Number
pith:XHHOJ2R7
pith:2020:XHHOJ2R7CKNRHF7VA2IZP5A2GL
not attested
not anchored
not stored
refs pending
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
arxiv:2010.00117 v1 · 2020-09-30 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XHHOJ2R7CKNRHF7VA2IZP5A2GL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:39:30.456754Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9cee4ea3f129b1397f5069197f41a32e2132c31efea3ce5dfd9f0c24ac88476
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XHHOJ2R7CKNRHF7VA2IZP5A2GL \
| 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: b9cee4ea3f129b1397f5069197f41a32e2132c31efea3ce5dfd9f0c24ac88476
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db5cc2d45e86f5ae67ab478abd572f75e98be9e038624224eb50a96c259cd615",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-09-30T21:50:46Z",
"title_canon_sha256": "01dcbb4489180805a7ec433f1378b8a626df3c8cb61eb95f5a315d3ee964d0c1"
},
"schema_version": "1.0",
"source": {
"id": "2010.00117",
"kind": "arxiv",
"version": 1
}
}