Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-20
Score updated: 2026-04-20
Score fresh until: 2026-05-20
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 harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation | Route /signal-canvas/harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation",
    "query_text": "Summarize Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation",
  "normalized_query": "2604.15482",
  "route": "/signal-canvas/harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation",
  "paper_ref": "harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation",
  "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: Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

PDF: https://arxiv.org/pdf/2604.15482v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-20T20:24:07.556Z

Signal Canvas receipt window

Watch and verify: Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

/buildability/harmonizing-multi-objective-llm-unlearning-via-unified-domain-representation-and-bidirectional-logit-distillation

Watchwatch

Subject: Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

Verdict

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Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

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