Pith Number
pith:FXZNXMFW
pith:2023:FXZNXMFWA7ABUL6DUXSNH5H5XA
not attested
not anchored
not stored
refs pending
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
arxiv:2312.07405 v1 · 2023-12-12 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FXZNXMFWA7ABUL6DUXSNH5H5XA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:23:19.242515Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2df2dbb0b607c01a2fc3a5e4d3f4fdb83701e1dee2ab018b46880f03f86e79bd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FXZNXMFWA7ABUL6DUXSNH5H5XA \
| 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: 2df2dbb0b607c01a2fc3a5e4d3f4fdb83701e1dee2ab018b46880f03f86e79bd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1be6a15b693694e5b6f6ab539023c3a10cb66390065f5349315b1ab86ce8bf6c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-12-12T16:25:05Z",
"title_canon_sha256": "67bcec5c3e387f2bf2f993c42189973f2cc7cb6e36b9645bf4c83c14cda3e2c0"
},
"schema_version": "1.0",
"source": {
"id": "2312.07405",
"kind": "arxiv",
"version": 1
}
}