Research papers and materials¶
The studies ask what a repeated answer leaves unmeasured: changes in tool use, missing records, and decisions without supporting evidence.
2026 workshop papers¶
| Paper | Venue and status | Materials |
|---|---|---|
| The Determinism–Faithfulness Assurance Harness (DFAH): Evidence Before Execution in Financial Agent Gates | Accepted poster, AI4F at ACM ICAIF 2026 | Banking findings and scope; Lab 10 |
| When Replay Agreement Misleads: Capture Loss and Cancellation in Local Agents | Accepted poster, SLM-Agents at NeurIPS 2026 | Original supplement; Lab 11 |
The workshop guide explains the relationship between these papers, their shared observations, and the available code and data.
Preprint and earlier work¶
| Research record | Focus |
|---|---|
| DFAH-Bench — arXiv:2607.20491 | Replay, capture, and evidence for financial-agent actions |
| Replayable Financial Agents — arXiv:2601.15322 | Earlier tool-using agent study; ICLR 2026 FinAI Workshop |
| LLM Output Drift — arXiv:2511.07585 | Earlier output consistency study; AI4F Workshop 2025 |
Use the title and version shown on the corresponding record when citing it. The workshop titles identify specific parts of the research, not acceptance of the entire DFAH-Bench preprint by either workshop.
What can I run?¶
| Question | Material | What it does |
|---|---|---|
| Do decisions and paths repeat? | Lab 8, make reproduce-paper |
Package walkthrough or historical replay recomputation |
| Which case changed? | Lab 9 | Review a saved path change with a fixed policy |
| Did a proposed call complete? | Lab 10 | Inspect synthetic invocation states |
| Can omissions preserve agreement? | Lab 11 | Run a small, offline capture-loss example |
| Can I recompute the SLM diagnostic? | Supplement instructions | Check the original synthetic projections with its offline verifiers |
| Can I rerun the banking study here? | Banking guide | Read the methods and findings; hosted study inputs are not distributed here |
The historical replay fixture and the SLM supplement support different checks. Teaching examples are not additional empirical results. Running a hosted model again would collect new observations rather than reconstruct the original service.
Cite the workshop papers¶
@misc{khatchadourian2026ai4f,
author = {Khatchadourian, Raffi},
title = {The Determinism--Faithfulness Assurance Harness (DFAH): Evidence Before Execution in Financial Agent Gates},
year = {2026},
howpublished = {AI4F Workshop, ACM ICAIF 2026},
url = {https://openreview.net/forum?id=VWQqIgrKw4}
}
@misc{khatchadourian2026slmagents,
author = {Khatchadourian, Raffi},
title = {When Replay Agreement Misleads: Capture Loss and Cancellation in Local Agents},
year = {2026},
howpublished = {SLM-Agents Workshop, NeurIPS 2026},
url = {https://openreview.net/forum?id=njEKVxonV2}
}
The repository's citation file provides the software and preprint citation information.