Pith Number
pith:IGFPUJHC
pith:2020:IGFPUJHCDDRS6MSJ2MT6PXFU3A
not attested
not anchored
not stored
refs pending
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval
arxiv:2011.07359 v1 · 2020-11-14 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IGFPUJHCDDRS6MSJ2MT6PXFU3A}
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 | 2026-07-05T01:51:48.880267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
418afa24e218e32f3249d327e7dcb4d82a549baf9a2cb106b979a1b8c7b0e3d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IGFPUJHCDDRS6MSJ2MT6PXFU3A \
| 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: 418afa24e218e32f3249d327e7dcb4d82a549baf9a2cb106b979a1b8c7b0e3d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ff90ca5e2a61ed0fd786df64321fecc1c68fa20d70d000ce35b6bbb109c443c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2020-11-14T18:39:39Z",
"title_canon_sha256": "2e478df20b729260f8e48205c805a0ecbfd9f416d0d8b77307fdac26974c5250"
},
"schema_version": "1.0",
"source": {
"id": "2011.07359",
"kind": "arxiv",
"version": 1
}
}