pith:CTCTZR27
Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction
Semantic Prompting lets LLMs interpret spatial layout changes to make targeted narrative revisions instead of full regenerations.
arxiv:2604.19971 v2 · 2026-04-21 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CTCTZR272KPYZQIDXR4SA7FHXL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The empirical evaluation demonstrated that S-PRISM effectively enhanced the precision of interaction-revision refinement. A user study (N=14) highlighted how participants leveraged S-PRISM for incremental formalization through interactive steering.
That LLMs can accurately perceive semantic interactions from spatial layouts and reason about refinement intent without persistent human-LLM misalignment, as assumed in the framework design.
Semantic Prompting enables LLMs to perform precise incremental narrative revisions by perceiving semantic interactions in spatial layouts, addressing misalignment gaps in existing methods.
Cited by
Receipt and verification
| First computed | 2026-06-30T01:17:38.550983Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
14c53cc75fd29f8cc103bc79207ca7bae94ac3616064e5622896a1e0df437e16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CTCTZR272KPYZQIDXR4SA7FHXL \
| 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: 14c53cc75fd29f8cc103bc79207ca7bae94ac3616064e5622896a1e0df437e16
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca4c21d3d46c9dae1f13828422266a5811d3fac5ea0706ad45604f6fcc5033f1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2026-04-21T20:28:42Z",
"title_canon_sha256": "ceb430056b726cd5f07835f79f76e15961b2dda24222df7eb5329256e34181da"
},
"schema_version": "1.0",
"source": {
"id": "2604.19971",
"kind": "arxiv",
"version": 2
}
}