Pith Number
pith:JNZ2XFAO
pith:2024:JNZ2XFAOMITRHXV5K6PWGTZHEP
not attested
not anchored
not stored
refs pending
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models
arxiv:2408.04388 v1 · 2024-08-08 · cs.MM · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JNZ2XFAOMITRHXV5K6PWGTZHEP}
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 | 2026-07-05T08:53:32.567207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b73ab940e622713debd579f634f2723de0969397ef769c65652c3811559d710
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JNZ2XFAOMITRHXV5K6PWGTZHEP \
| 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: 4b73ab940e622713debd579f634f2723de0969397ef769c65652c3811559d710
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56c59789eaba0d191865a230b1f73d2eace3086ce6565dda14e15caa96e0de9b",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.MM",
"submitted_at": "2024-08-08T11:44:57Z",
"title_canon_sha256": "96a68e7128a40a6ed0864ca2fc328df42b220c30e64358db4407993fbd1513a6"
},
"schema_version": "1.0",
"source": {
"id": "2408.04388",
"kind": "arxiv",
"version": 1
}
}