Pith Number
pith:EGCHINQB
pith:2020:EGCHINQB33G4RIL2UCA7RDH3AG
not attested
not anchored
not stored
refs pending
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
arxiv:2007.00849 v1 · 2020-07-02 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EGCHINQB33G4RIL2UCA7RDH3AG}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:15:41.854056Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2184743601decdc8a17aa081f88cfb01a86a5078d5bb619c0182e5d521da3307
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EGCHINQB33G4RIL2UCA7RDH3AG \
| 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: 2184743601decdc8a17aa081f88cfb01a86a5078d5bb619c0182e5d521da3307
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a229e89b61d50d52185fbddf60ab5e6f2c6d2a61413072ea4fa1ba02c857f60f",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-07-02T03:05:41Z",
"title_canon_sha256": "eb13a792616cf6da94a047354d7ec5a5d1bc06919b3fed930cd25466a266d376"
},
"schema_version": "1.0",
"source": {
"id": "2007.00849",
"kind": "arxiv",
"version": 1
}
}