Pith Number

pith:L5VFQ23M

pith:2019:L5VFQ23MUBIAXIU6FST6EXWEQP

not attested not anchored not stored refs pending

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Mirac Suzgun, Sebastian Gehrmann, Stuart M. Shieber, Yonatan Belinkov

arxiv:1911.03329 v1 · 2019-11-08 · cs.CL · cs.LG · cs.NE

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\usepackage{pith}
\pithnumber{L5VFQ23MUBIAXIU6FST6EXWEQP}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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

2 papers in Pith

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

On the Emergence of Syntax by Means of Local Interaction

Receipt and verification

First computed	2026-07-05T00:18:01.580092Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5f6a586b6ca0500ba29e2ca7e25ec483e1ee9b74a832df2b73b672b1ebce3499

Aliases

arxiv: 1911.03329 · arxiv_version: 1911.03329v1 · doi: 10.48550/arxiv.1911.03329 · pith_short_12: L5VFQ23MUBIA · pith_short_16: L5VFQ23MUBIAXIU6 · pith_short_8: L5VFQ23M

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/L5VFQ23MUBIAXIU6FST6EXWEQP \
  | 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: 5f6a586b6ca0500ba29e2ca7e25ec483e1ee9b74a832df2b73b672b1ebce3499

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d9efe12c6d6ee3861a92e8dcc43fe971ad4c6c56213b2413cfb36642a5663570",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2019-11-08T15:33:51Z",
    "title_canon_sha256": "00af9a91dd27835700008f5a566b9124a3a917b5e5c82bcefa7e2bad0e5f8562"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1911.03329",
    "kind": "arxiv",
    "version": 1
  }
}