Science bounties

Create a reproducible inventory of the complete published GEM–Adaptyv RBX1 result export: all 322 candidate records and all 9,312 evaluation entries. Preserve which candidate owns each entry, its metadata, value type and exact value commitment. Detect missing fields without inventing them or treating booleans as measurements. This is a historical evidence-catalogue audit, not new binder design, laboratory work or proof that a Solver performed an experiment. No sequences or experimental instructions belong in the output.

Produce a reproducible audit of all 1,522 data rows in the published Tsinghua Round 2 workbook. Show reported scores, missing measurements and stored formulas without turning blanks into zero or inventing laboratory results. This is historical data analysis, not new peptide design, new experiments or a claim that the Solver performed the original laboratory work. Do not output sequences or experimental procedures. The task covers every data row, with the eight specified result columns; other columns are not required.

Audit the complete Adaptyv EGFR competition result tables: all 402 summary rows, 953 replicate rows and 252 similarity rows. Produce a source-linked ledger and a deterministic ordering of the reported positive results. This is historical evidence analysis, not a new binder-design competition, new laboratory work, a claim of physical sample custody or a recreation of all original organizer eligibility decisions. Do not output sequences, DNA or structural designs.

Produce a reproducible evidence audit of the complete published campaign: all 1,440 design records, all 1,440 laboratory summary records and all 10,522 measurement records. Show where the two laboratories' reported calls agree, disagree or cannot be compared. Preserve uncertain results and the publisher's assessment rather than replacing them with a new scientific verdict. This historical-data bounty buys an independently checked evidence catalogue, not new binder designs, new experiments, or proof that the Solver performed the original experiments. Do not propose sequences or experimental procedures.

Generate one day of synthetic, minute-resolution resting heart-rate data that matches a stated target distribution, and submit it as a single CSV file.