Deterministic Event-Graph Substrates as World Models for Counterfactual Reasoning
The paper discusses deterministic event-graph substrates as models for counterfactual reasoning. These models represent agent states as logs of RDF triples and can answer counterfactual queries through structured interventions. The study demonstrates the effectiveness of these substrates in various benchmarks, outperforming existing models in several categories.
- ▪Event-graph substrates represent agent states as append-only logs of typed RDF triples.
- ▪The study formalizes the class of substrates and proves a duality between explanatory and counterfactual queries.
- ▪The substrate exceeds the NS-DR symbolic oracle on all four per-question categories and introduces a benchmark that outperforms Llama-3.1-8B.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15967 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | pJ98O-09iF9i |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2605.15967 (cs) [Submitted on 15 May 2026] Title:Deterministic Event-Graph Substrates as World Models for Counterfactual Reasoning Authors:Fabio Rovai View a PDF of the paper titled Deterministic Event-Graph Substrates as World Models for Counterfactual Reasoning, by Fabio Rovai View PDF HTML (experimental) Abstract:We study event-graph substrates: a class of world models that represent agent state as an append-only log of typed RDF triples and answer counterfactual queries by forking the log under a structured intervention vocabulary. Substrates are inspectable at the triple level, support exact counterfactuals, and transfer across domains without learned components.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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