Pith Number
pith:V5LPURGX
pith:2021:V5LPURGXUXQNROZP4CWGH7G3LQ
not attested
not anchored
not stored
refs pending
Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach
arxiv:2105.05950 v1 · 2021-05-12 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V5LPURGXUXQNROZP4CWGH7G3LQ}
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 | 2026-07-05T02:40:02.240472Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af56fa44d7a5e0d8bb2fe0ac63fcdb5c17a1e94e19128c64fbd6b91ebced97c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V5LPURGXUXQNROZP4CWGH7G3LQ \
| 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: af56fa44d7a5e0d8bb2fe0ac63fcdb5c17a1e94e19128c64fbd6b91ebced97c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e14eeef0090929b818bb901ccae9e0c318e65a6d0030f83615dbdb91c3a22346",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2021-05-12T20:25:52Z",
"title_canon_sha256": "aa02ff61559818b5b6dc2ece5250bace2062d443fa01555348601ee28b38369f"
},
"schema_version": "1.0",
"source": {
"id": "2105.05950",
"kind": "arxiv",
"version": 1
}
}