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Paper Citation Record · LEDGER

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm

As of 7 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2507.06461.

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

pith.paper-citation-record.v1
2507.06461 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:02.147961Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f79a0d82-b637-4041-92d2-7673974e6cc2 · outbound

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

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 1

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Observation bd49efc2-168d-44a1-83bb-f4e3039d7acf · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Imagenet classification with deep convolutional neural networks,

Reference 2

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Observation 88e6a4cb-6968-4065-84ab-1007267a935a · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Deep Speech: Scaling up end-to-end speech recognition

Reference 3

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Observation 81173203-b164-405b-a52a-2c1d6dc46b8d · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Highly accurate protein structure prediction with alphafold,

Reference 4

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Observation 4960384e-ff41-4f94-887f-133332dbfcfc · outbound

This paper cites The cost of training machines is becoming a problem,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm The cost of training machines is becoming a problem,

Reference 5

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Observation 993ce66f-6308-4ef9-801f-97958aeb2799 · outbound

This paper cites Ai’s growing demand for data centers is threatening tech’s climate goals,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Ai’s growing demand for data centers is threatening tech’s climate goals,

Reference 6

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Observation 3fa06958-16c7-4c29-a8b7-171482d010c7 · outbound

This paper cites Ai is an energy hog. this is what it means for climate change,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Ai is an energy hog. this is what it means for climate change,

Reference 7

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Observation 697bc13b-5d41-4bcc-b219-37897cfec9f9 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 8

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Observation dda67f3f-5ce6-4a81-9a03-6799ddf43843 · outbound

This paper cites Fully quantized network for object detection,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Fully quantized network for object detection,

Reference 9

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Observation 89d967aa-5263-42e3-bfb8-a16c9aad2e0b · outbound

This paper cites Puma: A programmable ultra-efficient memristor-based accelerator for machine learning inference,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Puma: A programmable ultra-efficient memristor-based accelerator for machine learning inference,

Reference 10

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Observation 8686fdc3-be95-4e80-8280-7d888ec03e7a · outbound

This paper cites A survey of quantization methods for efficient neural network infer- ence,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm A survey of quantization methods for efficient neural network infer- ence,

Reference 11

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Observation 1de121b3-3f85-4fd4-bbfb-cb35cd653b03 · outbound

This paper cites Quantized neural networks: Training neural networks with low preci- sion weights and activations,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Quantized neural networks: Training neural networks with low preci- sion weights and activations,

Reference 12

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Observation 1f5082e4-9ea7-4290-9257-de34ebb61386 · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Learning repre- sentations by back-propagating errors,

Reference 13

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Observation 2ede20f7-f8ab-444b-83e1-b39afe14680a · outbound

This paper cites Hardware implementation of memristor-based artificial neural networks,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Hardware implementation of memristor-based artificial neural networks,

Reference 14

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Observation 6afd5a28-be09-4f16-a659-0dfea657d05b · outbound

This paper cites Re- cent progress in analog memory-based accelerators for deep learning,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Re- cent progress in analog memory-based accelerators for deep learning,

Reference 15

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Observation fa4e32d3-c023-46fe-82db-74d892f6d0c6 · outbound

This paper cites Dot-product engine for neuro- morphic computing: Programming 1t1m crossbar to accelerate matrix- vector multiplication,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Dot-product engine for neuro- morphic computing: Programming 1t1m crossbar to accelerate matrix- vector multiplication,

Reference 16

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Observation faad5471-4e96-42e4-a197-ea0c21d038ac · outbound

This paper cites Isaac: A con- volutional neural network accelerator with in-situ analog arithmetic in crossbars,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Isaac: A con- volutional neural network accelerator with in-situ analog arithmetic in crossbars,

Reference 17

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Observation b1b52382-d9a0-483c-a45b-3417084f164f · outbound

This paper cites Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks,

Reference 18

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Observation 429b058a-7a61-4e4b-b09b-f14b5a3d3718 · outbound

This paper cites The forward-forward algorithm: Some preliminary investigations,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm The forward-forward algorithm: Some preliminary investigations,

Reference 19

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Observation 0ae689c4-1613-422f-9486-47c97b0f2482 · outbound

This paper cites Signal Propagation: A Framework for Learning and Inference In a Forward Pass.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Signal Propagation: A Framework for Learning and Inference In a Forward Pass

Reference 20

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Observation aebc3996-f861-4251-8166-2cb7d921183a · outbound

This paper cites Error-driven input modulation: Solving the credit assignment problem without a backward pass,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Error-driven input modulation: Solving the credit assignment problem without a backward pass,

Reference 21

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Observation fc765436-879e-4f50-9d56-e92b296d7407 · outbound

This paper cites One Forward is Enough for Neural Network Training via Likelihood Ratio Method.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm One Forward is Enough for Neural Network Training via Likelihood Ratio Method

Reference 22

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Observation 9b666e2b-a815-4c3d-a797-f5fc62e0bb6f · outbound

This paper cites Exploiting inherent error resiliency of deep neural networks to achieve extreme energy efficiency through mixed-signal neurons,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Exploiting inherent error resiliency of deep neural networks to achieve extreme energy efficiency through mixed-signal neurons,

Reference 23

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Observation 0d458e71-4fe4-404a-9fdc-8ff2b1c33ca8 · outbound

This paper cites Training deep neural networks with low precision multiplications.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Training deep neural networks with low precision multiplications

Reference 24

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Observation 51af6823-6f5b-4e76-a3a1-4ccdcc869323 · outbound

This paper cites Binary Neural Networks: A Survey.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Binary Neural Networks: A Survey

Reference 25

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Observation 2bf43cd4-dd90-48cd-8b64-3998c2be1d94 · outbound

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Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Probabilistic Binary Neural Networks

Reference 26

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This paper cites Accelerating binarized convolutional neural networks with software-programmable fpgas,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Accelerating binarized convolutional neural networks with software-programmable fpgas,

Reference 27

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Observation 8bae45d5-69e3-4e18-b6b7-f9f056ff8d80 · outbound

This paper cites Accelerating binarized neural networks: Comparison of fpga, cpu, gpu, and asic,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Accelerating binarized neural networks: Comparison of fpga, cpu, gpu, and asic,

Reference 28

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Observation f1445d8c-7397-430f-82e9-fe8d2f0b22e6 · outbound

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Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Deep learning binary neural network on an fpga,

Reference 29

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This paper cites Subnanosecond fluctuations in low-barrier nanomagnets,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Subnanosecond fluctuations in low-barrier nanomagnets,

Reference 30

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Observation a840d8e3-9bad-4d73-abc0-bf9975497755 · outbound

This paper cites Convolutional channel-wise competitive learning for the forward- forward algorithm,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Convolutional channel-wise competitive learning for the forward- forward algorithm,

Reference 31

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Observation d9e1f64e-ad32-41ef-9dda-ff24f8eec1f7 · outbound

This paper cites Ran- dom synaptic feedback weights support error backpropagation for deep learning,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Ran- dom synaptic feedback weights support error backpropagation for deep learning,

Reference 32

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Observation bde198a3-c981-4074-af11-c2744b4afce2 · outbound

This paper cites Direct Feedback Alignment Provides Learning in Deep Neural Networks.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Direct Feedback Alignment Provides Learning in Deep Neural Networks

Reference 33

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Observation c91c3250-efd5-449d-9bf5-93ce9b29fe64 · outbound

This paper cites The Cascaded Forward Algorithm for Neural Network Training.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm The Cascaded Forward Algorithm for Neural Network Training

Reference 34

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Observation 17a2b504-0c3f-45b2-9771-ce5fc289ba30 · outbound

This paper cites Equilibrium propagation: Bridging the gap between energy-based models and backpropagation,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Equilibrium propagation: Bridging the gap between energy-based models and backpropagation,

Reference 35

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raw_fallback, observed 2026-08-06T19:14:07.423927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.545683Z digest=sha256:d41d29d8d18b37fac8c1d09366327a733b651277c62f0f12630939f63c85a0e1

Observation 837f1d44-67d4-45f2-93b8-a343c82262fa · outbound

This paper cites Agnostic Physics-Driven Deep Learning.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Agnostic Physics-Driven Deep Learning

Reference 36

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no resolver link, observed 2026-08-06T19:14:00.639439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:00.639439Z digest=sha256:b6ca116c7af075517bfc2a8befafb67a6b316850baf034abe4b04cbe4bb478c6

Observation f2f298ba-53e2-424a-9acd-2aec6a78646e · outbound

This paper cites Estimating or propagating gradients through stochastic neurons for conditional computation,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Estimating or propagating gradients through stochastic neurons for conditional computation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:07.250080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.687907Z digest=sha256:8aeaf528a2d2eaa44c075ada34d0c5b95baeebc728516fcd9aa5b8e89b87f70a

Observation 119f6459-540c-4b17-a78f-3628bafd8523 · outbound

This paper cites Reintroducing straight-through estimators as principled methods for stochastic binary networks,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Reintroducing straight-through estimators as principled methods for stochastic binary networks,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:07.038719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.787311Z digest=sha256:589fade97baa038c469138617ee3935b21f74331f0c39049c060e365a810ea76

Observation b53714e2-6439-4f81-989d-cb2fa4c0db6b · outbound

This paper cites Autonomous probabilistic coprocessing with petaflips per second,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Autonomous probabilistic coprocessing with petaflips per second,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:06.800065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.881649Z digest=sha256:34328e90ca71262edc5df397ef46f5f9ec0be7081d2374ba9564abaa5d3b82d4

Observation 44199a3e-577a-4ed1-8541-f472eba14888 · outbound

This paper cites Probabilistic computing with p-bits,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Probabilistic computing with p-bits,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:06.583770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.933276Z digest=sha256:e17ba72d27ba114d6a7f6dcc62ff2b72fb3a23b7d6793e3d474cd11e1408a333

Observation 7340f363-2eab-479e-97d4-583cf65f229d · outbound

This paper cites Massively Parallel Probabilistic Computing with Sparse Ising Machines.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Massively Parallel Probabilistic Computing with Sparse Ising Machines

Reference 41

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local_arxiv, observed 2026-08-06T19:14:02.517917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.008263Z digest=sha256:eb4728b6dc9a76e18b492e053a353f5b89b764b5f4a4f1f046f68c09c896f796

Observation c59c3e8c-99a9-4bed-8de8-9aea88e94b4d · outbound

This paper cites Stochastic p-bits for invertible logic,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Stochastic p-bits for invertible logic,

Reference 42

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raw_fallback, observed 2026-08-06T19:14:06.343041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.063530Z digest=sha256:1c12bfa9086bbb7f6421f5b75cbeb6867cb5a3cc502fcd109db0b8170190d54f

Observation 6585b84b-8597-44f8-9f93-daef609046ef · outbound

This paper cites Integer factorization using stochastic magnetic tunnel junctions,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Integer factorization using stochastic magnetic tunnel junctions,

Reference 43

Resolution
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raw_fallback, observed 2026-08-06T19:14:06.149305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.112955Z digest=sha256:5a40020c69066caf4acad25f986bbcbda5da08ab3f8a89148acd5c9730e5c8b7

Observation a7cf6f2b-3226-4529-aa15-054389c25c0e · outbound

This paper cites A view of the EM algorithm that justifies incremental, sparse, and other variants,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm A view of the EM algorithm that justifies incremental, sparse, and other variants,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:05.924936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.164658Z digest=sha256:4d50a3a2fa6d13372c481fe52b52f252da0878ef31c73c7c110a88d770f893d5

Observation ab4e4ad6-46b2-449a-b51a-15c3369a3101 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 45

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unresolved
no resolver link, observed 2026-08-06T19:14:01.227309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.227309Z digest=sha256:e42df8c4408d2dcd967178919d2d0b5081140884322affb2ca1f0d05ad414372

Observation 0cf1a820-05d7-44ec-88a1-92a2cc2d73cb · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm The mnist database of handwritten digit images for machine learning research,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:01.279077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.279077Z digest=sha256:673f98d71db18e136f41ff1f3f150e0a08318d59b72e4d413a193b301e4862ec

Observation f61cb293-d813-4dda-a69c-f3046a544067 · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:05.532957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.344521Z digest=sha256:fe5c4235ebb6247c4133c082be054dc4f3c9eec3f723ca3f64f8a9d7827a2a1a

Observation 4856debe-43aa-4100-8e9e-d2474578d416 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Learning multiple layers of features from tiny images,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:01.394756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.394756Z digest=sha256:06958fc3e2d88892a4370a034d418b552a42bd3f11617b1551e6aad3427a9ea2

Observation 369398dd-8d4a-4808-8941-babe44e25e3f · outbound

This paper cites Ai and memory wall,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Ai and memory wall,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:01.476094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.476094Z digest=sha256:b5ce0ec2227e893b2c7f6a6191e95134a7fb5df8253ced56cea4c20a3e0e95b6

Observation 40acb3c3-4471-4b2d-a13d-adde882ee109 · outbound

This paper cites Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:14:02.328107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.536141Z digest=sha256:7e9041630e517910a99539aec38768fe39e76bbc9899044589c5fd5e6ed99cb3

Observation fe81b27c-7b18-471b-9c59-ea65f44a2ee4 · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it),.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm 1.1 computing’s energy problem (and what we can do about it),

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:01.593191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.593191Z digest=sha256:1a0d8b509c376ed1b5f554c6f42fb7c424aa89c8e66d2475fd6a7a0da49833b1

Observation f4c5a546-8a3c-4a30-8331-30597200ddbf · outbound

This paper cites A method to estimate the energy consumption of deep neural networks,.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm A method to estimate the energy consumption of deep neural networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:05.281640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.642186Z digest=sha256:e4a806a8c75c8acde0f9995eee083d53625a44c73352b8c6b0fca90e3ca41c87

Observation dd402896-adf8-458c-b372-d49afb5ed641 · outbound

This paper cites an unresolved cited work.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:14:05.079424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.723975Z digest=sha256:4ee32116aa9045084e9ebda8d0b3f1999d663158b889c8f68ed418e7cd1f7cbf

Observation b23a1c49-fee2-4a52-9986-2a4c2549b389 · outbound

This paper cites The gradient of the Maxpool operation involves only an indexing operation through the maximum element in each patch.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm The gradient of the Maxpool operation involves only an indexing operation through the maximum element in each patch

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:04.900639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.779200Z digest=sha256:781d35d843efeb02bba79acca78bbd176a4c741b8832e4433e7b078bbb345960

Observation 298ca6ba-f8ef-40b6-ae90-13211e704d2c · outbound

This paper cites an unresolved cited work.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:14:04.703157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.819183Z digest=sha256:49f6205642e1c515b484795a3522bfb24ac15900babb343aa7c545bfe2e5303f

Observation 66352e1e-e3c1-41ef-9f4f-5ed111ac126b · outbound

This paper cites goodness.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm goodness

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:04.529225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.880796Z digest=sha256:28c527109f4bcd7a3958a9bd5c856eb144a4574d3409818a62d1dd5657754ccb

Observation 5d7f2757-cb9a-4240-a5b1-92e2a802df78 · outbound

This paper cites an unresolved cited work.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Unresolved cited work

Reference 61

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unresolved
raw_fallback, observed 2026-08-06T19:14:04.302526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:01.957695Z digest=sha256:3f101a45c68a023a0f8fc3ee9c6ad0343720a17ff1b4690e02f81d0bcc7942cf

Observation 32ed759c-ca33-420a-8ef4-2bee5a25829e · outbound

This paper cites an unresolved cited work.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Unresolved cited work

Reference 62

Resolution
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raw_fallback, observed 2026-08-06T19:14:04.143315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:02.011840Z digest=sha256:6a7fd091d841da575f2903ee9034ff5e43edfeb32d140d51358b306876a75a48

Observation c7680e9d-9a5a-452e-b6ac-9312917d3f4b · outbound

This paper cites Rewriting the pre-activation z(ℓ)[c] to highlight these terms: z(ℓ)[c] = C(ℓ−1) X c(ℓ−1)=1 w(ℓ)[c, c(ℓ−1)] α(ℓ−1)[c(ℓ−1)] ∗ u(ℓ−1)[c(ℓ−1)] + w(ℓ)[c, c(ℓ−1)] δ(ℓ−1)[c(ℓ−1)].

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Rewriting the pre-activation z(ℓ)[c] to highlight these terms: z(ℓ)[c] = C(ℓ−1) X c(ℓ−1)=1 w(ℓ)[c, c(ℓ−1)] α(ℓ−1)[c(ℓ−1)] ∗ u(ℓ−1)[c(ℓ−1)] + w(ℓ)[c, c(ℓ−1)] δ(ℓ−1)[c(ℓ−1)]

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:03.980192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:02.078047Z digest=sha256:3c1138224465505dec4743cc2ceeec756e46224e3d24024b487ff9debf7b8e1a

Observation 0baf4f42-dc3f-4cfb-99fe-efc9ec428fd4 · outbound

This paper cites an unresolved cited work.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:14:03.824281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:02.147961Z digest=sha256:da34e8c4cc5fab146f83bbefe49b2dfb56be2950b60f36802f85e416bc0fdc09

Observation ebc4e790-1c10-48dd-bac5-c5cde866844d · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2013

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no resolver link, observed 2026-08-06T19:14:00.738999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:00.738999Z digest=sha256:5af4a5ed181cc70c962e70d7d13225d53845e7e0a666b2bb0dc0a2a44aae68db

Observation c3f0e7b5-2e97-4834-a510-20b827c3c56c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

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unresolved
no resolver link, observed 2026-08-06T19:13:57.088941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:13:57.088941Z digest=sha256:d37e781f75176a93ca69170a00673c52e92e5a9517d87ccb962896670ddac25d

Observation c33058fc-6fe7-43b1-9b62-44302c930db7 · outbound

This paper cites Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:14:02.665854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:00.844267Z digest=sha256:4b84bcb7790c1a540948df3a7bb1c4b2d80a3628f8fa7be00c0bb1bc2ec54ec7

Observation d194bbd2-7681-4319-b3d8-c7d3386eb814 · outbound

This paper cites Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass.

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:14:03.358727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:13:59.531530Z digest=sha256:9650bc920458e29a21677c2faf20020542b8a45ae700974dba1b0aa509ead3e9

Pith citing papers

No inbound Pith citation observations are available.