Pith Number

pith:YLRIJ2GF

pith:2026:YLRIJ2GF4LKC6AYRV74MIGMG7A

not attested not anchored not stored refs pending

Pragmatic Curiosity: A Unified Framework for Hybrid Learning and Optimization via Active Inference

Anjali Parashar, Chuchu Fan, Enlu Zhou, Yingke Li

Pragmatic Curiosity trades information gain on latent symbols against expected regret to unify hybrid learning and optimization.

arxiv:2602.06104 v2 · 2026-02-05 · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YLRIJ2GF4LKC6AYRV74MIGMG7A}

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 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

We propose Pragmatic Curiosity (PraC), a unified framework for hybrid learning and optimization via active inference. PraC evaluates candidate queries by trading information gain about a task-relevant latent symbol against an expected regret-based potential over outcomes.

C2weakest assumption

That the three operational design choices (latent quantity, regret encoding, and information-regret exchange strength) can be specified without task-specific staging rules while still producing reliable downstream risk reduction across regimes.

C3one line summary

PraC unifies hybrid learning and optimization by trading information gain on task-relevant latents against regret-based value within active inference.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:10:03.592835Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c2e284e8c5e2d42f0311aff8c41986f80ca491c85921cf063e0d7c4f48958d27

Aliases

arxiv: 2602.06104 · arxiv_version: 2602.06104v2 · doi: 10.48550/arxiv.2602.06104 · pith_short_12: YLRIJ2GF4LKC · pith_short_16: YLRIJ2GF4LKC6AYR · pith_short_8: YLRIJ2GF

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/YLRIJ2GF4LKC6AYRV74MIGMG7A \
  | 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: c2e284e8c5e2d42f0311aff8c41986f80ca491c85921cf063e0d7c4f48958d27

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7ad8a22a1f32efff27d98e8f9932b53c461fff740581965c10ef9aa3268bd6d7",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-02-05T18:42:29Z",
    "title_canon_sha256": "64a27953ff5471d9de09c80a06a4dd6ea5ac19740c15b9fd5f8258611342336d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.06104",
    "kind": "arxiv",
    "version": 2
  }
}