$δ$-mem: Efficient Online Memory for Large Language Models

$δ$-mem: Efficient Online Memory for Large Language Models | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/-mem-efficient-online-memory-for-large-language-models

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-05-13
Score updated: 2026-05-13
Score fresh until: 2026-06-12
References: 0
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID -mem-efficient-online-memory-for-large-language-models | Route /signal-canvas/-mem-efficient-online-memory-for-large-language-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/-mem-efficient-online-memory-for-large-language-models

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "-mem-efficient-online-memory-for-large-language-models",
    "query_text": "Summarize $δ$-mem: Efficient Online Memory for Large Language Models"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "$δ$-mem: Efficient Online Memory for Large Language Models",
  "normalized_query": "2605.12357",
  "route": "/signal-canvas/-mem-efficient-online-memory-for-large-language-models",
  "paper_ref": "-mem-efficient-online-memory-for-large-language-models",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: $δ$-mem: Efficient Online Memory for Large Language Models

PDF: https://arxiv.org/pdf/2605.12357v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-13T20:52:07.252Z

Signal Canvas receipt window

Watch and verify: $δ$-mem: Efficient Online Memory for Large Language Models

/buildability/-mem-efficient-online-memory-for-large-language-models

Watchwatch

Subject: $δ$-mem: Efficient Online Memory for Large Language Models

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

$δ$-mem: Efficient Online Memory for Large Language Models

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