docs: Add general citation from ATLAS HL-LHC Computing CDR

[matthewfeickert]

Description

Add general citation from 'ATLAS HL-LHC Computing Conceptual Design Report' (2020).

The paradigm of Deep Learning is evolving into a more general notion of numeric programs that are end-to-end optimizable through the use of auto-differentiation techniques. Here, projects such as pyhf[49] use ML libraries not for standard neural network training but rather to compute traditional HEP targets such as profile likelihoods leading to significantly higher performances for (e.g.) maximum likelihood fitting or limit calculation. Such differentiable analysis modules will also allow more direct integration of systematic uncertainties into the ML training, leading to more robust classifiers that are well-aligned with the final science objective.

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* Add general citation from 'ATLAS HL-LHC Computing Conceptual Design Report'.
   - c.f. https://inspirehep.net/literature/1845103
   - CDS: https://cds.cern.ch/record/2729668

[codecov]

Codecov Report

Base: 98.30% // Head: 98.30% // No change to project coverage 👍

Coverage data is based on head (ef36dd0) compared to base (efbf201).
Patch has no changes to coverable lines.

Additional details and impacted files

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  Coverage   98.30%   98.30%           
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  Lines        4531     4531           
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Flag	Coverage Δ
contrib	97.88% <ø> (ø)
doctest	61.15% <ø> (ø)
unittests-3.10	96.31% <ø> (ø)
unittests-3.8	96.33% <ø> (ø)
unittests-3.9	96.35% <ø> (ø)

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[matthewfeickert]

Relevant RTD build: https://pyhf--2101.org.readthedocs.build/en/2101/citations.html#general-citations

[matthewfeickert]

I'm going to approve and merge this myself. As always, PRs approved by a single core dev can be reverted as needed by the rest of the dev team.