Pith Number
pith:SMOP7HHM
pith:2020:SMOP7HHM473VVZAXPU3354IF4R
not attested
not anchored
not stored
refs pending
What is Wrong with Continual Learning in Medical Image Segmentation?
arxiv:2010.11008 v2 · 2020-10-21 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SMOP7HHM473VVZAXPU3354IF4R}
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 | 2026-07-05T05:40:29.471778Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
931cff9cece7f75ae4177d37bef105e46fb04ba1ea1b12fff11842147761fc16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SMOP7HHM473VVZAXPU3354IF4R \
| 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: 931cff9cece7f75ae4177d37bef105e46fb04ba1ea1b12fff11842147761fc16
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eb39868389c7f2a9fd1c0999a14ce45f5bbe6e48d82d3f2b9c07f76d147845ee",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-10-21T13:48:37Z",
"title_canon_sha256": "3e52710ba821b0b6fee9b987721aec7db2a25302c054eb9c5e16546381887636"
},
"schema_version": "1.0",
"source": {
"id": "2010.11008",
"kind": "arxiv",
"version": 2
}
}