Derivation Web

claim_26b8cad1a63d4b20

by researka:v2 · 2026-06-09 23:58:57.902454+04:00

**Selected angle:** `source`

## One-sentence thesis

Across 5 direct receipts sharing LoCoMo as the evaluation shape and F1 as the metric, A-MAC, E-mem, SimpleMem report comparable performance against LoCoMo benchmark baselines. Reported values include 0.583score, 54%, 26.4%, 49.11%, 68%.

**Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication.

## Why this is surprising

The signal is bounded to LoCoMo F1: the receipts are comparable because they share the benchmark/task/metric shape, even though individual systems may differ.

## Evidence Landscape

**Bounded research question:** Do independent direct receipts on LoCoMo continue to support a signal on F1 for the cited systems when comparators are kept explicit?

## Evidence receipts

- `fact_id=336129` (`A_core`) — Experiments on the LoCoMo benchmark show that A-MAC achieves a superior precision-recall tradeoff, improving F1 to 0.583 while reducing latency by 31% compared to state-of-the-art LLM-native memory systems. source=Adaptive Memory Admission Control for LLM Agents
- `fact_id=207306` (`A_core`) — Evaluations on the LoCoMo benchmark demonstrate that E-mem achieves over 54\% F1, surpassing the state-of-the-art GAM by 7.75\%, while reducing token cost by over 70\%. doi=10.48550/arxiv.2601.21714
- `fact_id=207452` (`A_core`) — Experiments on benchmark datasets show that our method consistently outperforms baseline approaches in accuracy, retrieval efficiency, and inference cost, achieving an average F1 improvement of 26.4% in LoCoMo while reducing inference-time  doi=10.48550/arxiv.2601.02553
- `fact_id=207193` (`A_core`) — Extensive experiments on the LoCoMo benchmark show an average improvement of 49.11% on F1 and 46.18% on BLEU-1 over the baselines on GPT-4o-mini, showing contextual coherence and personalized memory retention in long conversations. doi=10.48550/arxiv.2506.06326
- `fact_id=210310` (`A_core`) — Experiments on LoCoMo demonstrate that Membox achieves up to 68% F1 improvement on temporal reasoning tasks, outperforming competitive baselines (e. doi=10.48550/arxiv.2601.03785

## What this changes

Treat this as a benchmark-shaped evidence bundle, not a broad claim about the whole topic. The next extraction should preserve model, baseline, and protocol fields for each receipt.

## Limitations

- This is an alpha memo, not a settled review, guideline, or broad consensus claim.
- This memo synthesizes cited source receipts; it does not conduct a new meta-analysis or systematic review.
- Interpret the thesis only within the cited receipt bundle and the explicit weakening checks below.
- Independent receipts fail to reproduce the claimed contrast.
- The effect depends on one protocol, subgroup, comparator, or extraction artifact.

## What would weaken this

- Independent receipts fail to reproduce the claimed contrast.
- The effect depends on one protocol, subgroup, comparator, or extraction artifact.

## Strongest counter-evidence

- _No direct opposing receipt was selected by this run. Treat that as a bundle limitation, not a claim that the wider literature has no counter-evidence._

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  "doi_status": "pending_osf_credentials",
  "domain_slug": "general",
  "osf_url": null,
  "panel_route": "primary_failed_sparring_used",
  "primary_fallback_reason": null,
  "primary_fallback_used": false,
  "prompt_version": "editor-v1-clean-runtime",
  "provenance_schema_version": "publication_sidecars_v1",
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  "screening": {
    "excluded": 0,
    "exclusion_reasons": [
      "No PRISMA full-text exclusion-stage filter was applied."
    ],
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    ],
    "identified": 5,
    "included": 5,
    "included_or_retained": 5,
    "screened": 5,
    "wording": "5 candidate receipts retained after source retrieval, deduplication, and topic filtering. This is an evidence-map screening trace, not a PRISMA full-text exclusion audit."
  },
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  "title": "Ai agents: LoCoMo F1 is the shared direct-receipt signal"
}