Claims › ext:4c4ee005411fea56 › line of work

Its line of work

The efficacy of our proposed filter pruning method based on mask learning, termed MLPruner, is substantiated through its application to prevalent CNNs across numerous representative benchmarks.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

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Every claim drawn, as a table

Claim	Status	Checkable	Credence	Use	Stakes	Rests on
The efficacy of our proposed filter pruning method based on mask learning, termed MLPruner, is substantiated through it…	○ unchecked	yes	0.55	0	3.4	—

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Where	Status	Claim	Credence
this claim	unchecked	The efficacy of our proposed filter pruning method based on mask learning, termed MLPruner, is substantiated through its application to prevalent CNNs across n…human literature · ext:4c4ee005411fea56	0.55

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.