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3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

Stale12d agoPending verification refs / 3 sources / Verification pending
Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

stale
Proof freshness
stale
Proof status
unverified
Display score
3/10
Last proof check
2026-04-14
Score updated
2026-04-14
Score fresh until
2026-05-14
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

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

Canonical ID 3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts | Route /signal-canvas/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts",
    "query_text": "Summarize 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS",
  "normalized_query": "2604.11302",
  "route": "/signal-canvas/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts",
  "paper_ref": "3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts",
  "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: 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

PDF: https://arxiv.org/pdf/2604.11302v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-14T16:52:21.637Z

Signal Canvas receipt window

Not build-ready: 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

/buildability/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

Ignoreblocked

Subject: 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

Paper ref

3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts

arXiv id

2604.11302

Freshness

Generated at

2026-04-14T16:52:21.637Z

Evidence freshness

stale

Last verification

2026-04-14T16:52:21.637Z

Sources

3

References

0

Coverage

50%

Hash state

Lineage hash

50febe1609feae45222b00464bb50a6ad16576d48f1f3d7bf4c68d68dec70623

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

  • Missing: repo_url
  • Missing: references
  • Missing: proof_status
  • Unknown: proof verification has not been recorded yet

Pending verification refs / 3 sources / Verification pending

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

Overall score: 3/10
Lineage: 50febe1609fe

Canonical Paper Receipt

Last verification: 2026-04-14T16:52:21.637Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Preparing verified analysis

Dimensions overall score 3.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Startup potential card

Startup potential card preview

Related Resources

Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.

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