ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-06-01
Score updated: 2026-06-01
Score fresh until: 2026-07-01
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 contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization | Route /signal-canvas/contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization

MCP example

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    "mode": "paper",
    "paper_ref": "contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization",
    "query_text": "Summarize ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization"
  }
}

source_context

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  "mode": "paper",
  "query": "ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization",
  "normalized_query": "2605.30689",
  "route": "/signal-canvas/contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization",
  "paper_ref": "contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

PDF: https://arxiv.org/pdf/2605.30689v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-01T20:24:27.510Z

Signal Canvas receipt window

Watch and verify: ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

/buildability/contrans-learning-text-enhanced-local-global-temporal-representations-for-zero-shot-temporal-action-localization

Watchwatch

Subject: ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

Verdict

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ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

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