Paper Citation Record · LEDGER

Memory Savings at What Cost? A Study of Alternatives to Backpropagation

As of 21 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2506.21833.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.21833 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:42.530617Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:32:17.167850Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T01:27:31.204125Z

Reference resolution

63 of 63 outbound references displayed

verified exact2
verified fuzzy44
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 223ace94-af0d-4976-8e12-0af6cdde2976 · outbound

This paper cites Learning representations by back- propagating errors.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Learning representations by back- propagating errors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.691572Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85cb3c12-c42b-4f89-a4ec-113495d72e19 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Pytorch: An imperative style, high-performance deep learning library

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.557436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96f3fe66-92da-4a7b-a450-ef9ca3c3a1fe · outbound

This paper cites JAX: compos- able transformations of Python+NumPy programs, 2018.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation JAX: compos- able transformations of Python+NumPy programs, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.427079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c08dc12-b0ab-47c9-828d-95d2bbb0459a · outbound

This paper cites Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.321760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ba97522-e0d2-4c4c-8e9e-2ed397839ccc · outbound

This paper cites Gradients without Backpropagation.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Gradients without Backpropagation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:36.653035Z

Source-reported events for the cited work

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Observation 1efb16a1-fbc5-405a-bdc5-6b9e2d9db14e · outbound

This paper cites Thinking for- ward: Memory-efficient federated finetuning of language models.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Thinking for- ward: Memory-efficient federated finetuning of language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.222196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 117ae598-d3a1-4bce-8792-37abd6814b11 · outbound

This paper cites an unresolved cited work.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:51.113655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84642e57-df2b-4162-b808-24d1a23851e8 · outbound

This paper cites Lee, Danqi Chen, and Sanjeev Arora.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Lee, Danqi Chen, and Sanjeev Arora

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:51.010595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 719000f9-0e88-4ef1-aa81-32babd5cc012 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Training Deep Nets with Sublinear Memory Cost

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:36.976085Z

Source-reported events for the cited work

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Observation 36598834-bb78-4d2f-9f0e-3a6d01eb9aa0 · outbound

This paper cites Zeroth-order stochastic variance reduction for nonconvex optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Zeroth-order stochastic variance reduction for nonconvex optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.895455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a66c90e-ded8-488d-baea-94751f9bb221 · outbound

This paper cites Baffle: A baseline of backpropagation-free federated learning.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Baffle: A baseline of backpropagation-free federated learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.771453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 490361eb-fbef-4eaf-a0e6-d12c1c574525 · outbound

This paper cites Variance-reduced zeroth-order methods for fine-tuning language models.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Variance-reduced zeroth-order methods for fine-tuning language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.651807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6d5134b-af78-42ef-9e44-a0c8d04aaf50 · outbound

This paper cites Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.509088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e316ca5e-607c-4fd4-bdfa-43c1ee91a74d · outbound

This paper cites Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, and Zhaozhuo Xu.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, and Zhaozhuo Xu

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.374257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 223d7d5f-61bc-4b1f-ac63-a315ae79c158 · outbound

This paper cites Optimization methods for large-scale machine learning.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Optimization methods for large-scale machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:50.151952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7ab788e-7c16-4494-83ce-888e2d083663 · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:37.682404Z

Source-reported events for the cited work

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Observation a5b17a37-c4bb-4e1e-bb6c-2d129298b1e8 · outbound

This paper cites Zeroth-order methods for nondifferentiable, noncon- vex, and hierarchical federated optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Zeroth-order methods for nondifferentiable, noncon- vex, and hierarchical federated optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:49.938485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c1e1677-9184-46d2-b2db-e55b4169e216 · outbound

This paper cites An optimal structured zeroth-order algorithm for non-smooth optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation An optimal structured zeroth-order algorithm for non-smooth optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:49.673653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e60a698-7e2e-4fe5-a353-680cef283c73 · outbound

This paper cites Black-box generalization: Stability of zeroth-order learning.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Black-box generalization: Stability of zeroth-order learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:49.465689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4641a2b0-ced9-4549-a44f-e9e81c7ca9a3 · outbound

This paper cites black-box.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation black-box

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:49.312565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e42e3454-df76-43c5-8623-4ce76cf1508e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Training Verifiers to Solve Math Word Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.029009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2ad63c-f902-4667-bb32-76d5ffcbfc3c · outbound

This paper cites Measuring massive multitask language understanding.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Measuring massive multitask language understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.096664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1544271-e0a2-4aaf-8086-2bc933a19645 · outbound

This paper cites Character-level convolutional networks for text classification.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Character-level convolutional networks for text classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:49.107273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2cc2352-fae5-46b3-b12d-18bb15f9ea36 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.234126Z

Source-reported events for the cited work

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Observation dddf8d7b-fdef-4493-b901-2cd3daa624fe · outbound

This paper cites Looking beyond the surface: A challenge set for reading comprehension over multiple sentences.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Looking beyond the surface: A challenge set for reading comprehension over multiple sentences

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.941177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c31f271b-6912-4074-873d-b7495a190527 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.781349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e863c261-5c2f-42f1-9ef6-4ea3890232f8 · outbound

This paper cites Towards vqa models that can read.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Towards vqa models that can read

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.623118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d0be743-32b3-4ad6-8a0c-75188b4f8226 · outbound

This paper cites The Llama 3 Herd of Models.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation The Llama 3 Herd of Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.559884Z

Source-reported events for the cited work

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Observation 8c421d80-3a3d-4a98-8f34-8eb793cd6091 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation OPT: Open Pre-trained Transformer Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.635377Z

Source-reported events for the cited work

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Observation b7f08390-a52c-4d4c-a877-90c8ed239e07 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.399794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af2d61bd-fd42-46d8-8f25-c419ddb44add · outbound

This paper cites Ro{bert}a: A robustly optimized {bert} pretraining approach, 2020.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Ro{bert}a: A robustly optimized {bert} pretraining approach, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.221060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4afdf240-28e4-45c9-a36b-c1dbb9831c78 · outbound

This paper cites Qwen2.5 technical report, 2025.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Qwen2.5 technical report, 2025

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.919405Z

Source-reported events for the cited work

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Observation 9dd08c2f-7964-4e31-996e-2fc5a6d6e889 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation QLoRA: Efficient Finetuning of Quantized LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:38.977283Z

Source-reported events for the cited work

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Observation daa6a007-f163-48ab-a4d1-4d5109e20e69 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:39.102792Z

Source-reported events for the cited work

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Observation 6477383c-cd83-4dda-b65a-e36a2e4fe41b · outbound

This paper cites Implementation of FGD, 2023.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Implementation of FGD, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:48.043166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5c3df7c-48f1-470f-9437-c34e6247d8a0 · outbound

This paper cites Can forward gradient match backpropagation? In Proceedings of the 40th International Conference on Machine Learning, 2023.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Can forward gradient match backpropagation? In Proceedings of the 40th International Conference on Machine Learning, 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:47.777400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1ec6221-d437-409d-8106-54c79bbd8f7d · outbound

This paper cites Second-Order Forward-Mode Automatic Differentiation for Optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Second-Order Forward-Mode Automatic Differentiation for Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:39.542509Z

Source-reported events for the cited work

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Observation ca20739e-a7ce-4609-a1ea-897c2873b19c · outbound

This paper cites Johnson, and David Duvenaud.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Johnson, and David Duvenaud

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:47.598244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 580b9cb6-3403-4614-bf59-a10c59fc17db · outbound

This paper cites Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:24:43.264224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 365fbf64-2690-4d6e-8c6b-c4da7a6a31ae · outbound

This paper cites Projected Forward Gradient-Guided Frank-Wolfe Algorithm via Variance Reduction.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Projected Forward Gradient-Guided Frank-Wolfe Algorithm via Variance Reduction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:39.946793Z

Source-reported events for the cited work

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Observation 4120410e-520f-4fb7-98f7-1b51f368dc03 · outbound

This paper cites Beyond backpropagation: Optimization with multi-tangent forward gradients.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Beyond backpropagation: Optimization with multi-tangent forward gradients

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:40.075268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f39ed2d-bfb5-41cf-82ce-00fce627adf8 · outbound

This paper cites Deepzero: Scaling up zeroth-order optimization for deep model training.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Deepzero: Scaling up zeroth-order optimization for deep model training

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:47.450362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0bb6fcac-00fa-41f2-a633-e902afc47035 · outbound

This paper cites A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:24:42.826240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64de91bb-c77f-47b0-98d6-93fca0c3b678 · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Accelerating stochastic gradient descent using predictive variance reduction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:47.283902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0e25900-4d5c-4791-9f83-94afaf032c2a · outbound

This paper cites Zeroth-order methods for constrained nonconvex nonsmooth stochastic optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Zeroth-order methods for constrained nonconvex nonsmooth stochastic optimization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:47.127599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b60c469-19cb-4929-914b-6840db2401a5 · outbound

This paper cites An algorithm with optimal dimension-dependence for zero-order nonsmooth nonconvex stochastic optimization.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation An algorithm with optimal dimension-dependence for zero-order nonsmooth nonconvex stochastic optimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.972260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a22605cf-aeb4-4068-95d0-6c15ca6eae9d · outbound

This paper cites Zeroth-order (non)-convex stochastic optimization via conditional gradient and gradient updates.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Zeroth-order (non)-convex stochastic optimization via conditional gradient and gradient updates

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.806347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4bd5b45-8598-49dd-88f9-ebdc86370fd6 · outbound

This paper cites Stochastic zeroth-order optimization in high dimensions.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Stochastic zeroth-order optimization in high dimensions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.672946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c7a9c68-eb54-4860-b526-1d0ecf9e3d48 · outbound

This paper cites Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, and Tianlong Chen.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, and Tianlong Chen

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.520999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3c78ce2-1bc2-453f-9f1b-6033ff4a8bf3 · outbound

This paper cites The reversible residual network: Backpropagation without storing activations.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation The reversible residual network: Backpropagation without storing activations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.282273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fb01c0c-cbac-483e-8867-50f53d47dc97 · outbound

This paper cites Memory-efficient backpropagation through time.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Memory-efficient backpropagation through time

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:46.069832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00090d90-5224-4346-a232-c4f6aa8f1ae7 · outbound

This paper cites Efficient combination of rematerialization and offloading for training dnns.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Efficient combination of rematerialization and offloading for training dnns

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:45.886113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5f30b41-92e4-4c83-b6c1-6776b0eefdfb · outbound

This paper cites Agnews on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Agnews on huggingface

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:45.677207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76e490e4-8299-4b99-9ed2-9f5a9e1ceb46 · outbound

This paper cites Boolq on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Boolq on huggingface

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:45.470768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ada20fe-48a0-4a2c-9f00-3117fdd3a7fc · outbound

This paper cites Multirc on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Multirc on huggingface

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:45.314525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 087ab0c6-df39-421f-a6b3-ff5b17857999 · outbound

This paper cites Gsm8k on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Gsm8k on huggingface

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:45.126723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2405e4e-5f48-4c78-8bdb-0dc340d387b9 · outbound

This paper cites Mmlu on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Mmlu on huggingface

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:44.912389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d33ad39-a8e9-4d16-aeb6-8006813ed90e · outbound

This paper cites Lawrence Zitnick.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Lawrence Zitnick

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:44.749607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8072450-0053-41b9-a721-2c1d3d831928 · outbound

This paper cites an unresolved cited work.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:44.536787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 739ac406-c315-4872-ab6f-ef0bc0e661b5 · outbound

This paper cites Textvqa on huggingface.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Textvqa on huggingface

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:44.312544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8d8254eb-762c-4785-9f69-44b92f11303d · outbound

This paper cites Fwdllm: Efficient federated finetuning of large language models with perturbed inferences.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Fwdllm: Efficient federated finetuning of large language models with perturbed inferences

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:43.848293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ddddc25-3ccf-4be4-b96e-6c7f02b32a1c · outbound

This paper cites yes” or “no.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation yes” or “no

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:43.679174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ec87f22-d107-4bd6-befc-af0f5c4f6ad3 · outbound

This paper cites an unresolved cited work.

Memory Savings at What Cost? A Study of Alternatives to Backpropagation Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:44.077486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 66343052-d299-45cb-a710-10094bff7b71 · inbound

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization cites this paper.

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization Memory Savings at What Cost? A Study of Alternatives to Backpropagation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-14T00:18:19.323744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 758608db-3ffd-41e6-abf5-ded96924dcae · inbound

Adaptive directional gradients for parameterised quantum circuits cites this paper.

Adaptive directional gradients for parameterised quantum circuits Memory Savings at What Cost? A Study of Alternatives to Backpropagation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-14T00:18:19.323744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.