atmem/memory-integrity-continuity

AtMem memory integrity and continuity evidence

This dataset accompanies Beyond Recall Accuracy: Evaluating Integrity and Crash Continuity in Persistent Memory for Tool-Using Language Agents by Javad Taghia, AtMem.Ai Lab.

Open the interactive results Space · Read the PDF · AtMem source · External benchmark submission

What is measured

The publication separates two questions:

1. Memory integrity: can untrusted observations, summaries, repetition, or prior agent outputs silently acquire factual or procedural authority?
2. Operational continuity: after a crash, can an agent distinguish a saved success, a queryable external effect, a valid idempotent retry, and an outcome that must stop for confirmation?

Headline results

Evidence	Result	Correct interpretation
Integrity trials	700	400 PASS, 300 NOT_REPRESENTABLE, 0 FAIL, 0 ERROR
Factual contamination	0/300	Within represented scored probes
Secret retention	0/100	Within canonical benchmark scoring surfaces
Taint preservation	100/100	Direct-parent derivations in Category D
No-fault parity	18/18 requests in every arm	One recorded-response trajectory
Repeat request after interrupted commit	baseline 1, AtMem 0, AtFlows 1, both 0	AtMem avoided an uncertain redispatch in one fault cell

NOT_REPRESENTABLE is not a pass or failure. The harness supplies caller labels, not AtMem-issued review authority, for Categories A, H, and I. Category D uses native-record-ID matching and remains pending upstream interpretation.

Repository layout

• data/: small CSV tables rendered by the Dataset Viewer.
• evidence/integrity/: exact 700-trial integrity result bundle.
• evidence/continuity/: exact installed acceptance, replay, fault, and live-pilot bundles.
• paper/: PDF, LaTeX source, and bibliography.
• provenance/: top-level checksums and publication manifest.

Limitations

This is not a general security, compliance, retrieval-quality, or exactly-once execution claim. The fresh four-arm pilot contains one exposed task per arm and cannot support causal inference. The external integrity pull request is open and is not an accepted upstream leaderboard entry. See the paper and bundled LIMITATIONS.md for the complete claim boundary.

Paper

The bundled PDF is the canonical paper for this Hugging Face release. No arXiv identifier has been assigned. If the paper is submitted to arXiv later, this card can link the resulting Hugging Face Paper page without changing the dataset.

Citation

@article{taghia2026beyond,
  title={Beyond Recall Accuracy: Evaluating Integrity and Crash Continuity in Persistent Memory for Tool-Using Language Agents},
  author={Taghia, Javad},
  year={2026},
  note={AtMem.Ai Lab; Hugging Face research release}
}

OpenClaw lost-acknowledgement supplement (27 September 2026)

Read the paper · LaTeX source · Evidence and reproduction

When the Write Lands but the Acknowledgement Is Lost: A Reproducible Memory-Retry Test in OpenClaw, Javad Taghia, AtMem.Ai Lab.

Five isolated bridge crash trials, three real OpenClaw gateway crash trials, and one no-fault gateway control passed. After the completed write's response was withheld and the backend killed, the retry returned the original record as already_stored; read-back showed the complete original fact and one active record. Gateway model responses were deterministic and local. This tests exact-content retry after a completed write, not partial transactions or power loss. The supplement preserves two earlier CLI setup failures separately and does not change the earlier study's results.