Pith Number
pith:TU72MQY7
pith:2026:TU72MQY7DA64KPAO5YBSQ6T7G2
not attested
not anchored
not stored
refs pending
Latent States in Neural Networks: Recovering the Temporal Structure of Drifting Data from Model Weights
arxiv:2607.27482 v1 · 2026-07-29 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TU72MQY7DA64KPAO5YBSQ6T7G2}
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
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claim
4
Citations
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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 | 2026-07-31T01:24:02.568828Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
9d3fa6431f183dc53c0eee03287a7f36ab0cc14ce26f3b10464c5f182f2a0eab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TU72MQY7DA64KPAO5YBSQ6T7G2 \
| 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: 9d3fa6431f183dc53c0eee03287a7f36ab0cc14ce26f3b10464c5f182f2a0eab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0e516d55f40af0391eea512ea354b82ca5cb468b478bb20a6c2ba26130b1b4b",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-29T21:51:29Z",
"title_canon_sha256": "a8e969a7ee27f675d5b2a0970ceada2f8c1c99ef02579621a9e0c73d4e537b9a"
},
"schema_version": "1.0",
"source": {
"id": "2607.27482",
"kind": "arxiv",
"version": 1
}
}