Pith Number

pith:SSMPFZ4E

pith:2025:SSMPFZ4EOCOAJ6SXMQTAMIORC6

not attested not anchored not stored refs pending

Prompt reinforcing for long-term planning of large language models

Benjamin Matthias Ruppik, Carel van Niekerk, Chia-Hao Shen, Hsien-Chin Lin, Michael Heck, Milica Ga\v{s}i\'c, Nurul Lubis, Renato Vukovic, Shutong Feng

A reinforcement-learning-inspired method rewrites task prompts using feedback and experience replay to improve long-term planning in LLM agents.

arxiv:2510.05921 v3 · 2025-10-07 · cs.CL · cs.LG

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\usepackage{pith}
\pithnumber{SSMPFZ4EOCOAJ6SXMQTAMIORC6}

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Record completeness

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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

By generating turn-by-turn feedback and leveraging experience replay for prompt rewriting, our proposed method shows significant improvement in multi-turn tasks such as text-to-SQL and task-oriented dialogue.

C2weakest assumption

That rewriting only the task instruction prompt via feedback and experience replay is sufficient to produce effective long-term planning behavior inside an unmodified LLM-based agent.

C3one line summary

A prompt optimization method using turn-by-turn feedback and experience replay improves LLM performance on multi-turn tasks such as text-to-SQL and task-oriented dialogue.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:02:56.691217Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9498f2e784709c04fa5764260621d117929cd28df9893acb096ef11b005a5951

Aliases

arxiv: 2510.05921 · arxiv_version: 2510.05921v3 · doi: 10.48550/arxiv.2510.05921 · pith_short_12: SSMPFZ4EOCOA · pith_short_16: SSMPFZ4EOCOAJ6SX · pith_short_8: SSMPFZ4E

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/SSMPFZ4EOCOAJ6SXMQTAMIORC6 \
  | 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: 9498f2e784709c04fa5764260621d117929cd28df9893acb096ef11b005a5951

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "04ca6126dd78cbf214d2dccf1362f1fbb957d2ef2400fe542b56fafb38690bf9",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-10-07T13:30:18Z",
    "title_canon_sha256": "74ba5c6f17ac14786b3a76092bd1ce5951c02ba24106263b816885e16b3ffab9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2510.05921",
    "kind": "arxiv",
    "version": 3
  }
}