Builds the Era by Eon benchmarks: synthetic enterprise data estates with exact ground truth for evaluating LLM agents.
3
papers here
3
reviewed by Evolve
0
first-author
0
corresponding
—
works · OpenAlex
7
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-16) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Insufficient data: publication volume cannot be scored yet — the OpenAlex record for this name appears incomplete and may mix identities. This axis would measure scholarly output, e.g. papers per year across the career, once the record is cleanly disambiguated.
Impact—
Insufficient data: citation-based impact cannot be scored reliably — the yearly citation distribution attached to this name spans unrelated periods, so attributions are uncertain. This axis would measure citation influence, such as citations per paper and field-normalized standing.
Focus0/100
Scores 0 because the record is unusually dispersed: the three reviewed 2026 papers split evenly across LLM agent benchmarking, LLM agent evaluation, and synthetic data systems (0.33 each), while the record's top OpenAlex topics — advanced data storage (7), database systems (6), graph theory (5), graph algorithms (5), cloud computing (4) — point to an older, unrelated corpus. Read as either genuine breadth or identity noise.
Collaboration39/100
Scores 39, reflecting a small, stable team pattern: 6 distinct co-authors appear in the snapshot — Benjamin Gruenbaum, Doron Porat, Roy Zavida, Chen Dinachi, Or Itzahary and Omer Niv. All three 2026 catalog papers list him in a middle author position without corresponding-author status, suggesting a contributing specialist within a compact group rather than a lead of a large network.
Activity47/100
Scores 47 on moderate current momentum: the snapshot counts 4 works in the last three years, with 4 records clustered in 2026, matching the three reviewed arXiv preprints. Historical counts by year show earlier clusters in 1998–2001 and 2012–2016, which either indicate a prior research phase or name-resolution noise; either way, sustained recent cadence is limited to the 2026 burst.
Reproducibility43/100
Scores 43 as the mean reproducibility read across 3 reviewed papers. Evolve's assessments explain it: hidden-knowledge questions are deterministic and limits are honestly stated, yet one headline evaluation is single-seed with internal count errors; the synthetic-enterprise paper's evaluation is circular; and the core benchmark's code is unreleased. Reproducibility readiness is rated medium, medium and low respectively.
Research summary
Assaf Natanzon (ORCID 0009-0008-1070-004X) is name-resolved here from public bibliographic data; the snapshot lists no institution or country. Evolve's catalog holds three of his 2026 arXiv preprints, all in middle author positions, forming one coherent research line: benchmarks that evaluate LLM agents against enterprise systems of record. The Era by Eon benchmark seed-generates fictional but internally consistent companies with exact answer keys; a companion paper formalizes deterministic multi-system business data synthesis with reference-free evaluation; a third adds 8 deterministic hidden-knowledge questions probing what agents cannot see. Evolve's reviewers credit the construct quality but flag single-seed evaluation, internal count errors, circular evaluation, and unreleased code; reproducibility readiness is medium, medium and low (mean 43 across the 3 reviewed papers). The snapshot reports h-index 7 and i10-index 5, with 4 works in the last three years. The record also carries older topic clusters — graph algorithms, databases, cloud computing, data storage — that may reflect earlier work or name-resolution noise. Six distinct co-authors appear, including Benjamin Gruenbaum and Doron Porat.
Collaboration pattern
The snapshot lists 6 distinct co-authors: Benjamin Gruenbaum, Doron Porat, Roy Zavida, Chen Dinachi, Or Itzahary and Omer Niv. All three 2026 catalog papers place him in a middle author position, non-corresponding, consistent with a specialist contributor inside a small, recurring team that spans benchmark construction, synthetic data engineering, and evaluation design. Collaboration score: 39.
Research keywords
Highlights
Generated enterprise estates with exact answer keys
Deterministic synthetic enterprise data with reference-free evaluation
Probing what enterprise agents cannot see
Timeline
- 2026Publishes the Era by Eon benchmark: a generated enterprise estate with exact ground truth for benchmarking LLM agents (arXiv).
- 2026Publishes a method for synthesizing consistent multi-system enterprise business data with reference-free evaluation (arXiv).
- 2026Extends Era by Eon with 8 deterministic hidden-knowledge questions for enterprise agents (arXiv).
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric snapshot is name-resolved from OpenAlex only; institution and country are unavailable.
- Counts by year include clusters in 1998–2001 and 2012–2016 that predate the 2026 arXiv work; these may reflect a different researcher or name-ambiguity noise, and the output and impact axes are left unscored for this reason.
- h-index (7) and i10-index (5) are quoted from the snapshot as provided; their attribution to this exact person is uncertain.
- Reproducibility signals come from Evolve's reviews of only the 3 cataloged 2026 arXiv preprints; no journal or conference versions are covered.