Pith Number

pith:3DN2IPLN

pith:2026:3DN2IPLNWM6TNOQPISXNHBVGUO

not attested not anchored not stored refs pending

Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents

Abhijit Sanyal, Thanh Luong Tuan

Ontology-coupled agents significantly outperform ungrounded agents on accuracy and role consistency across enterprise domains.

arxiv:2604.00555 v4 · 2026-04-01 · cs.AI · cs.CL · cs.SE

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\pithnumber{3DN2IPLNWM6TNOQPISXNHBVGUO}

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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.

Claims

C1strongest claim

ontology-coupled agents significantly outperform ungrounded agents on Metric Accuracy (p < .001) and Role Consistency (p < .001) across all three models with large effect sizes (Kendall's W = .46-.64)

C2weakest assumption

The ontologies are correctly specified and complete for the tested domains, and the controlled experiment adequately isolates the effect of ontological coupling from other factors such as prompt engineering or tool selection.

C3one line summary

Ontology grounding improves accuracy and role consistency of enterprise LLM agents, with larger gains in domains poorly covered by training data.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification

Receipt and verification

First computed	2026-05-20T00:03:09.758045Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d8dba43d6db33d36ba0f44aed386a6a391e881c909e9eb28c753201ae75e7c09

Aliases

arxiv: 2604.00555 · arxiv_version: 2604.00555v4 · doi: 10.48550/arxiv.2604.00555 · pith_short_12: 3DN2IPLNWM6T · pith_short_16: 3DN2IPLNWM6TNOQP · pith_short_8: 3DN2IPLN

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3DN2IPLNWM6TNOQPISXNHBVGUO \
  | 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: d8dba43d6db33d36ba0f44aed386a6a391e881c909e9eb28c753201ae75e7c09

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fd6a726809b40a990b97c0c30e547ade7b4d398bcb0ddf77b320922f06c72511",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.SE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-01T06:59:15Z",
    "title_canon_sha256": "8d5cc19e2e37e7fdb769c48e1399e69cdf671afb469619b9fa887c9ce336f09b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.00555",
    "kind": "arxiv",
    "version": 4
  }
}