Pith Number
pith:SWE7XIJX
pith:2025:SWE7XIJXST6MIIG6WLM7JJBNXK
not attested
not anchored
not stored
refs pending
Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings
arxiv:2506.06616 v1 · 2025-06-07 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SWE7XIJXST6MIIG6WLM7JJBNXK}
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.
Receipt and verification
| First computed | 2026-07-05T11:17:52.929870Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9589fba13794fcc420deb2d9f4a42dba92fdd26f2ee8183fa8e9439f483d1009
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SWE7XIJXST6MIIG6WLM7JJBNXK \
| 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: 9589fba13794fcc420deb2d9f4a42dba92fdd26f2ee8183fa8e9439f483d1009
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d8b1f2d70d3afbb290902ac86b1e36d183a6e9b98e81e5935da91a6ebd3e3a4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-06-07T01:19:45Z",
"title_canon_sha256": "86f51592b813a4d028bff87424b588b056977675253a6481e30ea8e6c6f6c632"
},
"schema_version": "1.0",
"source": {
"id": "2506.06616",
"kind": "arxiv",
"version": 1
}
}