Pith Number
pith:TDBUC3XT
pith:2018:TDBUC3XTKJMVUTUMGSHW2X7EVD
not attested
not anchored
not stored
refs pending
Predicting Distresses using Deep Learning of Text Segments in Annual Reports
arxiv:1811.05270 v1 · 2018-11-13 · cs.CL · q-fin.CP · q-fin.RM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TDBUC3XTKJMVUTUMGSHW2X7EVD}
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 | 2026-05-18T00:00:46.471821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
98c3416ef352595a4e8c348f6d5fe4a8e13df733d4b0b4c4cac4db9c17588ca9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TDBUC3XTKJMVUTUMGSHW2X7EVD \
| 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: 98c3416ef352595a4e8c348f6d5fe4a8e13df733d4b0b4c4cac4db9c17588ca9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f458c34fff363adca4e7e560b4bcbdbc45ccee34aaf8b6faee734193cab3528e",
"cross_cats_sorted": [
"q-fin.CP",
"q-fin.RM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-11-13T13:09:58Z",
"title_canon_sha256": "60198c8e46673281dd402e36972ab0ab395f34d340e406c27d75ecb314e9a85a"
},
"schema_version": "1.0",
"source": {
"id": "1811.05270",
"kind": "arxiv",
"version": 1
}
}