Pith Number
pith:GDDAEGGY
pith:2025:GDDAEGGYRPDT3JG4CKU7SN6D6H
not attested
not anchored
not stored
refs pending
Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences
arxiv:2506.13996 v1 · 2025-06-16 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDDAEGGYRPDT3JG4CKU7SN6D6H}
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.
Receipt and verification
| First computed | 2026-07-05T11:22:46.972345Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30c60218d88bc73da4dc12a9f937c3f1dfe8e0c8ccc44b39e6daa5f993b4cc4d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDDAEGGYRPDT3JG4CKU7SN6D6H \
| 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: 30c60218d88bc73da4dc12a9f937c3f1dfe8e0c8ccc44b39e6daa5f993b4cc4d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af37cd8bc3fa2096aee13527b489190c64990e94f9eaa7b6a8a1b9f95b6fb2c4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-16T20:52:28Z",
"title_canon_sha256": "7a14e291268b04f7ca8f25f9865e79d1a44d62d72129bf89b9a9cba851ed3284"
},
"schema_version": "1.0",
"source": {
"id": "2506.13996",
"kind": "arxiv",
"version": 1
}
}