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GREP · Software mentions — V1 (CPU)

ACTIVE

computer-science · CONTAINER

Reads scientific PDFs and pulls out every software name, tool and library the authors used, with its location in the text, a type and a purpose. This leaf runs V1, the crowd's first-generation model. GREP runs three independently trained models over the same papers; a mention enters the final record only when at least two of the three find the same span. A work unit is about ten papers, roughly 5 MB in and one small JSON out. Every unit goes to three different volunteers and the head accepts it once two produce matching output. Runs on any machine with 6 GB of free memory and 15 GB of free disk; a single core is enough, though more cores finish a unit faster. The model ships inside a one-time 5.6 GB image download, after which the work runs entirely offline.

Measured accuracy (character-level F1; higher is better):

Model                dev    test   Softcite   SoFAIR clean
----------------------------------------------------------
f14                0.823   0.819     0.8653         0.8909
f13                0.814   0.807     0.8637         0.8854
V1                 0.800   0.781     0.8096         0.7950   <- this leaf
crowd (2-of-3)     0.833   0.828     0.8648         0.8940

Throughput

Queued
31
Running
0
Validated
248
Volunteers
0

What your machine needs

The head only sends this leaf's work to machines that meet these.

CPU cores
1 core
Free memory
7,000 MB
Free disk
15,000 MB
GPU
Not needed

What this task may use

Hard limits enforced on your machine. The task is stopped if it exceeds them.

Memory limit
7,000 MB
Disk limit
4,096 MB
CPU time limit
24 hours
Network access
None — runs offline

Execution

Runtime
CONTAINER
Image
ghcr.io/jring-o/extract2-student:2.1-v1

Validation

Redundancy
Comparison
NUMERIC_TOLERANCE
Tolerance
0.01
Max retries
3

Contribute

To donate compute to this leaf, download the open-source lettuce-volunteer binary for your platform from GitHub releases (per-platform install steps are in the setup guide), then run:

lettuce-volunteer init
lettuce-volunteer attach --server infra.scios.tech
lettuce-volunteer leafs enable extract2-student-crowd-v1
lettuce-volunteer start

The CLI fetches this leaf's work units, runs them inside the limits above, and submits results with signed credit attestations — all automatically.