CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-03-31
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 24
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 cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning | Route /signal-canvas/cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning",
    "query_text": "Summarize CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning",
  "normalized_query": "2603.28135",
  "route": "/signal-canvas/cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning",
  "paper_ref": "cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 8

References: 24

Proof: Verification pending

Freshness state: computing

Source paper: CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

PDF: https://arxiv.org/pdf/2603.28135v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-31T20:19:54.428Z

Signal Canvas receipt window

Watch and verify: CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

/buildability/cot2-meta-budgeted-metacognitive-control-for-test-time-reasoning

Watchwatch

Subject: CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

Verdict

Watch

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

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
Under matched inference budgets, CoT2-Meta consistently outperforms strong single-path, sampling-based, and search-based baselines, including ReST-MCTS.
Implicationpartial
Explicitly stated in abstract with specific performance gains listed
Verificationpartial
partial
Evidencepartial
On the default backbone, it achieves 92.8 EM on MATH... with gains over the strongest non-CoT2-Meta baseline of +3.6
Implicationpartial
Specific numeric results provided in abstract with clear comparison
Verificationpartial
partial
Evidencepartial
90.4 accuracy on GPQA... with gains over the strongest non-CoT2-Meta baseline of +5.2
Implicationpartial
Specific numeric results provided in abstract with clear comparison
Verificationpartial
partial
Evidencepartial
a meta-controller that allocates computation through expansion, pruning, repair, stopping, and fallback decisions
Implicationpartial
Directly stated in abstract and analysis sections describing framework components
Verificationpartial
partial
Evidencepartial
COT2-META converts each partial reasoning trajectory into an explicit control state... where ot denotes the oracle output and ϕ(·) is a deterministic state-construction function
Implicationpartial
Direct technical description of the method's implementation
Verificationpartial
partial
Evidencepartial
Beyond these core results, the framework remains effective across a broader 15-benchmark suite spanning knowledge and QA, multi-hop reasoning, coding, and out-of-distribution evaluation.
Implicationpartial
Explicitly stated in abstract with supporting evidence in analysis
Verificationpartial
partial
Evidencepartial
COT2-META also improves over strong inference-time baselines on DeepSeek-V3.2 and Qwen2.5-VL-7B... the relative advantage of explicit metacognitive control remains consistent across both closed and open-model settings
Implicationpartial
Directly stated in analysis section with specific model names
Verificationpartial
partial
Evidencepartial
the controller selects among them using a UCB-style score Score(n) = v(n) + β√(log(N+1)/(vis(n)+1)) where v(n) is the combined value, vis(n) is the visit count of node n
Implicationpartial
Direct technical description of the algorithm's implementation
Verificationpartial
partial

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CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

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