Pith Number
pith:F7D36J4O
pith:2013:F7D36J4O4HTCFBZKDWBDCXGLLT
not attested
not anchored
not stored
refs pending
Trend prediction in temporal bipartite networks: the case of Movielens, Netflix, and Digg
arxiv:1302.3101 v1 · 2013-02-13 · cs.SI · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F7D36J4O4HTCFBZKDWBDCXGLLT}
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
✓
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 | 2026-05-18T03:07:44.444511Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2fc7bf278ee1e622872a1d82315ccb5ceab0c0c93e189b8f1ca0a2564b2a3672
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F7D36J4O4HTCFBZKDWBDCXGLLT \
| 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: 2fc7bf278ee1e622872a1d82315ccb5ceab0c0c93e189b8f1ca0a2564b2a3672
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca87dafef6ebebd25687be6042c069bb55a9ec52de8abc8de31569c7aac13036",
"cross_cats_sorted": [
"physics.soc-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2013-02-13T14:09:33Z",
"title_canon_sha256": "e92372675061ca49233db4a81becf7d80f2416c9fe372f84046100fa835d1963"
},
"schema_version": "1.0",
"source": {
"id": "1302.3101",
"kind": "arxiv",
"version": 1
}
}