Pith Number
pith:O237DI76
pith:2026:O237DI76QFJ4JN3YWGXU7ZRLDG
not attested
not anchored
not stored
refs pending
Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting
arxiv:2608.01857 v1 · 2026-08-03 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O237DI76QFJ4JN3YWGXU7ZRLDG}
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 | 2026-08-04T02:07:28.869626Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
76b7f1a3fe8153c4b778b1af4fe62b19b2aa344e82a2bfb0f09e397d73584021
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O237DI76QFJ4JN3YWGXU7ZRLDG \
| 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: 76b7f1a3fe8153c4b778b1af4fe62b19b2aa344e82a2bfb0f09e397d73584021
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "317a56f8f6cea23d95d4ebba00468cd992bd98343b0f853dd92cbe9e24134d46",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-08-03T08:06:39Z",
"title_canon_sha256": "7a9c7670aed225bc80f443ac47d5bb14ab614742dda9682de335231382a46a10"
},
"schema_version": "1.0",
"source": {
"id": "2608.01857",
"kind": "arxiv",
"version": 1
}
}