Pith Number
pith:NP2VXWY5
pith:2026:NP2VXWY5OQ4H6CIVLFU3M2C2IM
not attested
not anchored
not stored
refs pending
Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning
arxiv:2607.07316 v1 · 2026-07-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NP2VXWY5OQ4H6CIVLFU3M2C2IM}
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 | 2026-07-09T01:20:20.704278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6bf55bdb1d74387f09155969b6685a430f3dd25080cf2804a548b119282b2c6f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NP2VXWY5OQ4H6CIVLFU3M2C2IM \
| 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: 6bf55bdb1d74387f09155969b6685a430f3dd25080cf2804a548b119282b2c6f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2903f895028ba5bcc39b617bcc889a579218f9466be2e84b7609e0b2f53eedaf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-08T12:04:38Z",
"title_canon_sha256": "7058c28e3e967570e9d540429d2401ff49b9a8d98c3a76ce5c1c8a0ee06aae4e"
},
"schema_version": "1.0",
"source": {
"id": "2607.07316",
"kind": "arxiv",
"version": 1
}
}