Pith Number
pith:2UMLILPF
pith:2019:2UMLILPFIBLYNNKLVUPQNW3ZY5
not attested
not anchored
not stored
refs pending
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents
arxiv:1906.02128 v1 · 2019-05-17 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2UMLILPFIBLYNNKLVUPQNW3ZY5}
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 | 2026-05-17T23:44:05.222606Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d518b42de5405786b54bad1f06db79c764ab622d750da5383e243e7ab7a42e31
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2UMLILPFIBLYNNKLVUPQNW3ZY5 \
| 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: d518b42de5405786b54bad1f06db79c764ab622d750da5383e243e7ab7a42e31
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f5586e42364721f9a33b9a7397b0902dc74b2fff7982ec4c6dd50127a60a5bb1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-05-17T05:13:22Z",
"title_canon_sha256": "47dd21061c9da689a293b48d58b1f4d489e106c98f56e6864643812089c6cb1e"
},
"schema_version": "1.0",
"source": {
"id": "1906.02128",
"kind": "arxiv",
"version": 1
}
}