Pith Number
pith:DD46DNLM
pith:2025:DD46DNLMXPQ6WNTSKZFZLLVDS4
not attested
not anchored
not stored
refs pending
Tri-FusionNet: Enhancing Image Description Generation with Transformer-based Fusion Network and Dual Attention Mechanism
arxiv:2504.16761 v1 · 2025-04-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DD46DNLMXPQ6WNTSKZFZLLVDS4}
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
· sign in to
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 | 2026-07-05T10:53:04.162101Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18f9e1b56cbbe1eb3672564b95aea3972801508f46cb7c95551448fc9534f526
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DD46DNLMXPQ6WNTSKZFZLLVDS4 \
| 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: 18f9e1b56cbbe1eb3672564b95aea3972801508f46cb7c95551448fc9534f526
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7c1614f9bcf8797a111b0ea0b633a3738a292969624f2724214637b5b63b7a4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-23T14:33:29Z",
"title_canon_sha256": "0413017c2927b18f30387c2822ad8e401deaf31c4182f8acf1ab4a9c468e9730"
},
"schema_version": "1.0",
"source": {
"id": "2504.16761",
"kind": "arxiv",
"version": 1
}
}