TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning

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 tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning | Route /signal-canvas/tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning",
    "query_text": "Summarize TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning",
  "normalized_query": "2605.12236",
  "route": "/signal-canvas/tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning",
  "paper_ref": "tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning",
  "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: TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

PDF: https://arxiv.org/pdf/2605.12236v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-13T20:52:45.447Z

Signal Canvas receipt window

Watch and verify: TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

/buildability/tmrl-diffusion-timestep-modulated-pretraining-enables-exploration-for-efficient-policy-finetuning

Watchwatch

Subject: TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

Verdict

Watch

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

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

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