Pith Number
pith:XBDZJTVP
pith:2026:XBDZJTVPCW3DCKQLZ3OYZVQ7HQ
not attested
not anchored
not stored
refs pending
Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies
arxiv:2606.29171 v1 · 2026-06-28 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XBDZJTVPCW3DCKQLZ3OYZVQ7HQ}
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 | 2026-06-30T01:17:55.523303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b84794ceaf15b6312a0bcedd8cd61f3c32c128a0426058d6f879b6da78e8411a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XBDZJTVPCW3DCKQLZ3OYZVQ7HQ \
| 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: b84794ceaf15b6312a0bcedd8cd61f3c32c128a0426058d6f879b6da78e8411a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39cc1c64afc3f3b7672c3efd81a64d11fead2ab21326bb7b5676f6bc058796dc",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-28T03:32:06Z",
"title_canon_sha256": "6b618be62f95a44d53124cd2c8cf7f50bde0b0edaedf899a98039ddcbea0f8e7"
},
"schema_version": "1.0",
"source": {
"id": "2606.29171",
"kind": "arxiv",
"version": 1
}
}