Pith Number

pith:S6JLFMXT

pith:2026:S6JLFMXT7GX3QBMCU56X3LGSG2

not attested not anchored not stored refs resolved

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems

Cheng cheng, Duogong Yan, Enyu Li, Jianan Wang, Jiangyi Chen, Jiangyong Xie, Ling Wang, Songnan Liu, Xin Liu, Yihan Zhu, Yu Xiao

HEAR uses a stratified hypergraph ontology to reach up to 94.7% accuracy on supply-chain root cause analysis without retraining LLMs.

arxiv:2605.14259 v1 · 2026-05-14 · cs.AI · cs.CL

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\usepackage{pith}
\pithnumber{S6JLFMXT7GX3QBMCU56X3LGSG2}

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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

Evaluations on supply-chain tasks, including order fulfillment blockage root cause analysis (RCA), show HEAR achieves up to 94.7% accuracy.

C2weakest assumption

That a Stratified Hypergraph Ontology can be constructed and maintained at scale for arbitrary heterogeneous business systems while preserving both semantic grounding and procedural fidelity.

C3one line summary

HEAR uses a stratified hypergraph ontology to orchestrate evidence-driven multi-hop reasoning over heterogeneous business systems, reaching 94.7% accuracy on supply-chain root-cause tasks with open-weight models.

References

82 extracted · 82 resolved · 5 Pith anchors

[1] Efficient string matching: an aid to bibliographic search 1975

[2] arXiv preprint arXiv:2510.06265 (2025) 2025

[3] A survey on hypergraph representation learning.ACM Computing Surveys (CSUR), 2023 2023

[4] When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering 2026 · arXiv:2601.19827

[5] Bartholdi, III and Steven T 2016

Receipt and verification

First computed	2026-05-17T23:39:10.500265Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9792b2b2f3f9afb80582a77d7dacd23685435c6752cbdd3bf39ba1bd3acfdd79

Aliases

arxiv: 2605.14259 · arxiv_version: 2605.14259v1 · doi: 10.48550/arxiv.2605.14259 · pith_short_12: S6JLFMXT7GX3 · pith_short_16: S6JLFMXT7GX3QBMC · pith_short_8: S6JLFMXT

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/S6JLFMXT7GX3QBMCU56X3LGSG2 \
  | 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: 9792b2b2f3f9afb80582a77d7dacd23685435c6752cbdd3bf39ba1bd3acfdd79

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1d2c2b4740e4843449478a458549d9af3ba05b49565e46cb719562656d0ed389",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-14T01:57:59Z",
    "title_canon_sha256": "938b1c841c95f0503f09608d9c83ba0809d2650bfe59cbf46d7f4cd3179d767e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14259",
    "kind": "arxiv",
    "version": 1
  }
}