HDF Group

Open and Fair Fusion for Machine Learning Applications

Committed

$1.2 Million

How to read these numbers

One award, start to finish: Everything here is this single award's whole record — signed, amended, paid — not a fiscal-year slice. The by-year charts elsewhere split an award across the years it was committed; this page keeps it whole.
Committed vs. ceiling: Committed is what the government has legally promised on this award so far. Contracts can also carry a ceiling — the maximum if every option is exercised. Unspent ceiling is headroom, not money owed.
Paid out: The cash actually disbursed against this award. The gap from committed is the disbursement pipeline: promised, not yet cashed.
The ledger: Each transaction is a signing event — an action that created or changed the award, dated the day it was signed — not a payment. Negative amounts are real: money de-committed at closeout or renegotiation.
The money bar: One bar, the award’s whole arithmetic: paid out, then committed, not yet paid, then .

Federal grant · cooperative agreement (b)

Open and Fair Fusion for Machine Learning Applications

Committed

$1.2 Million

One award, start to finish: Everything here is this single award's whole record — signed, amended, paid — not a fiscal-year slice. The by-year charts elsewhere split an award across the years it was committed; this page keeps it whole.
Committed vs. ceiling: Committed is what the government has legally promised on this award so far. Contracts can also carry a ceiling — the maximum if every option is exercised. Unspent ceiling is headroom, not money owed.
Paid out: The cash actually disbursed against this award. The gap from committed is the disbursement pipeline: promised, not yet cashed.
The ledger: Each transaction is a signing event — an action that created or changed the award, dated the day it was signed — not a payment. Negative amounts are real: money de-committed at closeout or renegotiation.
The money bar: One bar, the award’s whole arithmetic: paid out, then committed, not yet paid, then .