Pith Number
pith:EG6N7DEV
pith:2019:EG6N7DEVTDS2NBR2OSHG7CQMPN
not attested
not anchored
not stored
refs pending
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
arxiv:1905.08315 v2 · 2019-05-20 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EG6N7DEVTDS2NBR2OSHG7CQMPN}
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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 | 2026-05-17T23:45:08.833796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21bcdf8c9598e5a6863a748e6f8a0c7b4bad857a5f59f14686dbe844d7833a51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EG6N7DEVTDS2NBR2OSHG7CQMPN \
| 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: 21bcdf8c9598e5a6863a748e6f8a0c7b4bad857a5f59f14686dbe844d7833a51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02ba4b60740f4c70304416117fe87a394f91ece3aba106389e90be4a457cc56c",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-05-20T19:42:40Z",
"title_canon_sha256": "f89859164dfac99d3ba05f7dd8f7fa1a1d9c197f374221867b6f652a75fddb50"
},
"schema_version": "1.0",
"source": {
"id": "1905.08315",
"kind": "arxiv",
"version": 2
}
}