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Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Stale9d 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/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

stale
Proof freshness
stale
Proof status
unverified
Display score
4/10
Last proof check
2026-04-16
Score updated
2026-04-16
Score fresh until
2026-05-16
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

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Canonical ID towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency | Route /signal-canvas/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency",
    "query_text": "Summarize Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain",
  "normalized_query": "2604.14013",
  "route": "/signal-canvas/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency",
  "paper_ref": "towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency",
  "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

Signal Canvas receipt window

Not build-ready: Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

/buildability/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

Ignoreblocked

Subject: Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

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/towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

Paper ref

towards-multi-object-tracking-with-radar-on-a-fast-moving-vehicle-on-the-potential-of-processing-radar-in-the-frequency

arXiv id

2604.14013

Freshness

Generated at

2026-04-16T18:20:39.885Z

Evidence freshness

stale

Last verification

2026-04-16T18:20:39.885Z

Sources

3

References

0

Coverage

50%

Hash state

Lineage hash

8bfb5bea4587b685345040a2c8c4e95bb1d7093765ae37012cec54e05e5421a5

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

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Overall score: 4/10
Lineage: 8bfb5bea4587

Canonical Paper Receipt

Last verification: 2026-04-16T18:20:39.885Z

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 4.0

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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