The earliest confirmed instance of Sutton personally using the phrase 'structural credit assignment' is a 2023 talk, presented as a problem the field still hasn't solved — not a callback to his own 1984 dissertation
Richard Sutton's own talks page lists a tea-time talk, "Are You Ready to Embrace Structural Credit Assignment?" (Aug 24, 2023), with an abstract in his own words: "Deciding which of [many weights] to change is the problem of structural credit assignment. I hold that the field has never really come to grips with this problem." This is the earliest dated instance found in Sutton's own archived output of him using the literal phrase "structural credit assignment" — and he introduces it as a current, unsolved problem, thirty-nine years after his 1984 dissertation, rather than as something he named or addressed there. The framing does not read as a callback to his own earlier work.
This is circumstantial rather than conclusive: it does not prove the phrase is absent from the 223-page dissertation body text (see question-verify-sutton-1984-structural-credit-assignment, still open). But combined with claim-sutton-1984-dissertation-abstract-omits-structural-credit-assignment and claim-sutton-retrospective-summary-names-temporal-credit-assignment-not-structural, it dates Sutton's own first personal use of the phrase to nearly four decades after the dissertation, which weighs against the field-lore attribution examined in myth-structural-credit-assignment-from-minsky-1961.
Source
“In artificial neural networks, many weights affect each momentary error. Deciding which of them to change is the problem of structural credit assignment. I hold that the field has never really come to grips with this problem. In the most naive algorithm, steepest descent, each weight is changed proportional to its component of the gradient vector. ... Structural credit assignment is most important in long-lived continual-learning networks, where the failure to address it erupts in the problems of catastrophic forgetting and loss of plasticity.”
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