ChainQueen's (2019) full 34-item reference list contains no citation of Linnainmaa, Griewank, Speelpenning, or any dedicated automatic-differentiation source

linnainmaagriewankspeelpenningautomatic-differentiationchainqueencitation-historyhistory-of-mlbridge-investigation

ChainQueen's reference list runs from [1] (Todorov, Erez & Tassa's MuJoCo paper) to [34] (Fang, Hu, Hu & Jiang, "A temporally adaptive material point method with regional time stepping," Computer Graphics Forum, 2018); entry [23] is "A. Sanchez-Gonzalez, N. Heess, J. T. Springenberg, J. Merel, M. Riedmiller, R. Hadsell, and P. Battaglia, 'Graph networks as learnable physics engines for inference and control,' in ICML, 2018," the entry that falls last in the PDF's two-column text-extraction reading order. A full end-to-end read of all 34 entries finds none naming Seppo Linnainmaa, Andreas Griewank, Bert Speelpenning, Paul Werbos, or Rumelhart/Hinton/Williams, and none citing a dedicated automatic-differentiation text (e.g. Griewank & Walther's Evaluating Derivatives). The paper's own autodiff tooling — TensorFlow, used for its reference implementation and benchmarked against a CUDA version in Table II — is used and discussed in-text but is not given its own citation; it enters the paper as infrastructure, not as attributed prior work.

This converts into a checked fact what claim-chainqueen-differentiates-mpm-via-linnainmaas-reverse-mode-technique had already flagged, but only as an unchecked lead not load-bearing to that note's own claim: that ChainQueen's methods section and cited tooling name no AD-discovery figure. The mechanism match that note established — ChainQueen's backward P2G/G2P pass performs the same operation Linnainmaa's reverse-mode algorithm performs on rounding-error sensitivities — now has its citation-absence side confirmed exhaustively rather than inferred from the methods section alone.