Pith Number
pith:SQ2M2DTV
pith:2026:SQ2M2DTV7D7JFC2OGEQP3LUJNA
not attested
not anchored
not stored
refs pending
fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis
arxiv:2605.24065 v1 · 2026-05-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SQ2M2DTV7D7JFC2OGEQP3LUJNA}
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 | 2026-05-26T01:02:43.577701Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9434cd0e75f8fe928b4e3120fdae8968061838bb5f69ca0b686cf89f202d51b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SQ2M2DTV7D7JFC2OGEQP3LUJNA \
| 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: 9434cd0e75f8fe928b4e3120fdae8968061838bb5f69ca0b686cf89f202d51b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "526aaf69a1c40a4eaddc3babe0816fff91ff80143011bd5fd0c017d7d817322c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-22T04:47:18Z",
"title_canon_sha256": "f7a4c0f26f73368ed7c33cdc616c9c6e1996e733e9783e47d407e4d5a79b0d18"
},
"schema_version": "1.0",
"source": {
"id": "2605.24065",
"kind": "arxiv",
"version": 1
}
}