Pith Number
pith:BTYHLAX4
pith:2024:BTYHLAX4YSQ7RAWZK7S7EAMLCX
not attested
not anchored
not stored
refs pending
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
arxiv:2411.00029 v1 · 2024-10-29 · cs.CL · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BTYHLAX4YSQ7RAWZK7S7EAMLCX}
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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 | 2026-07-05T09:29:36.491913Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0cf07582fcc4a1f882d957e5f2018b15e899f1682eb0b4095bf4843b785352de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BTYHLAX4YSQ7RAWZK7S7EAMLCX \
| 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: 0cf07582fcc4a1f882d957e5f2018b15e899f1682eb0b4095bf4843b785352de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68a54efdbd561e30e5179dd8d341c83b08cd94da05e5ae536a1bc8303c38c4a5",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-29T07:55:50Z",
"title_canon_sha256": "1f3f7ff03800cadda42d8de2315b152f197f3a84714715268d77d47e7518c81d"
},
"schema_version": "1.0",
"source": {
"id": "2411.00029",
"kind": "arxiv",
"version": 1
}
}