Public science research dashboard

Explore. Test. Understand.

Run AI research cycles to build stronger hypotheses, test against evidence, and challenge our understanding of black-hole interior models.

What is being researchedThe selected research target for the current AI cycle.
What it meansEach pass moves us closer to the truth
What to do nextPick a topic, run, or open the next pass

KAGRA O3GK LIGO waveform residuals

The source provides a relevant merger dataset, but it does not directly test delayed ringdown residuals. The report keeps the question, evidence, and next test visible.

Open topicIdentify missing evidence / next datasetUltralight vector dark matter search using data from the KAGRA O3GK runLIGO-Virgo-KAGRARun 4
Current run

This run found a relevant merger dataset, but it did not directly test delayed ringdown residuals.

Run guide

What each run means

Each pass moves from interpretation to falsification and then to a final verdict.

Run 1Done

Understand topic

Read the topic, pull in context, and name the question in plain language.

Run 2Done

Extract the testable claim

Turn the topic into a testable hypothesis or current understanding.

Run 3Done

Check objections

Look for the strongest objections, weak evidence, and missing assumptions.

Run 4Now

Plan the falsification test

Propose the next test that could break the hypothesis if it is wrong.

Run 5

Final verdict

Summarize the current verdict after the evidence and objections are checked.

Selected target

Selected Research Target

KAGRA O3GK LIGO waveform residuals
Ultralight vector dark matter search using data from the KAGRA O3GK runLIGO-Virgo-KAGRAGravitational wavesarrival-time residualsRun 4

KAGRA O3GK LIGO waveform residuals

The source provides a relevant merger dataset, but it does not directly test delayed ringdown residuals.

Current understandingIdentify missing evidence / next dataset
Open

Current research run

Current Run / Research Progress

completed100%
Research in motion

Core research completed

KAGRA O3GK LIGO waveform residuals

The latest run for this topic is complete and the next cycle is queued.

completedCore research completed
Current stepFinalizing
Research targetKAGRA O3GK LIGO waveform residuals
Run numberRun 4
Run purposeIdentify missing evidence / next dataset
Current agentDirectorAgent
Next action

Next: Run 4: Identify missing evidence / next dataset.

Open report

Latest result

Latest Result

Open report
Run 4 turns the claim into a concrete falsification plan with a clear null result and m…
Current understandingALIVE

KAGRA O3GK LIGO waveform residuals

The source provides a relevant merger dataset, but it does not directly test delayed ringdown residuals.

Confidence 93% is supported by source quality is strong (paper, credible publisher, specific url, specific title, substantive summary); alignment is high (topic domain matches, to…

Confidence93%
Next question

Which clean ringdown dataset most directly falsifies the claim that delayed residuals survive conservative noise checks?

Hypothesis

Do arrival-time residuals survive after detector-timing correction?

Evidence

An Interpretive Classification of Gravitational-Wave Ringdown Residuals -Residuals as Analytical Outcomes Rather Than Physical Signals · Wi…

Objection

The experiment plan may still be too indirect unless the residual is measurable above conservative noise boun…

Next test

Which clean ringdown dataset most directly falsifies the claim that delayed residuals survive conservative no…

Research queue

Research Queue

No queued topics right now. The selected topic is ready for the next research pass.