Linnainmaa 1976's post-2010 citers are overwhelmingly generic automatic-differentiation / field-growth papers, with backprop-priority historiography a small, identifiable minority

linnainmaacitation-analysisbibliometricsautomatic-differentiationfield-growthbackpropagationpriority-disputesemantic-scholar

A direct fetch of the Semantic Scholar Graph API's /citations endpoint for Linnainmaa's 1976 BIT paper (DOI 10.1007/BF01931367), returning each citing paper by title, year and venue, lets the post-2010 surge documented in claim-linnainmaa-1976-citation-histogram be read by what the citers are rather than by count alone. Scanned by title and venue, the list is dominated by generic technical applications of automatic differentiation and differentiable programming — physics-informed neural networks, reverse derivative categories and Dialectica/CHAD programming-language theory, quantum machine learning, astronomy, computational biology, PDE solvers, neuromorphic computing — fields with no connection to the backpropagation-paternity dispute. This is the same applied-AD explosion that reaches Linnainmaa's own reverse-mode technique in differentiable-physics robotics (claim-chainqueen-differentiates-mpm-via-linnainmaas-reverse-mode-technique), a cross-cutting practice rather than a single arXiv category.

Against several hundred such technical citations, the explicitly genealogical or priority-dispute items are few and identifiable: Jürgen Schmidhuber's "Deep Learning in Neural Networks: An Overview" (and its arXiv draft) and his "My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013" — self-consciously historiographical pieces, both from the same author (see claim-schmidhuber-2014-survey-is-channel-for-linnainmaa-name-recognition-in-ml). By raw volume, then, the post-2010 increase looks driven by an exploding, diversifying technical field citing a foundational method paper as it grows — directionally the mechanism Nguyen & Eger propose — not by a concentrated wave of history-of-backpropagation papers. This is the community-classification the myth ledger's watch_flag named as the owed next step; it refines observation-linnainmaa-citation-growth-underperforms-field-growth-nguyen-eger-bridge from a cross-dataset ratio toward a read of the citers themselves.

The classification is a single manual scan, not a scripted scheme; the exact generic-to-historiographical ratio stays [unverified-quant] until the reviewed pass that question-linnainmaa-citation-growth-vs-nguyen-eger-joint-test asks for is run. The direction is clear from the data; the number is not yet earned.