Pith Number
pith:KQMDMWAG
pith:2025:KQMDMWAGY7H4KM4APRQCYY67SC
not attested
not anchored
not stored
refs pending
Transformer Dynamics: A neuroscientific approach to interpretability of large language models
arxiv:2502.12131 v1 · 2025-02-17 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KQMDMWAGY7H4KM4APRQCYY67SC}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:15:39.483299Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5418365806c7cfc533807c602c63df90b0e727ab12c815d6f21c846d00b367d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KQMDMWAGY7H4KM4APRQCYY67SC \
| 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: 5418365806c7cfc533807c602c63df90b0e727ab12c815d6f21c846d00b367d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7a2a2f42b7005dca150eec82449dd4abe6c08ac5fc1e7eba0422ec2bfe4fb36c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-02-17T18:49:40Z",
"title_canon_sha256": "ef4477b71549a0a8be3dac7b117bde7a9f0e71b27b0e9f930b1804a67d43865c"
},
"schema_version": "1.0",
"source": {
"id": "2502.12131",
"kind": "arxiv",
"version": 1
}
}