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Paper Citation Record · LEDGER

Hyperbolic Binary Neural Network

As of 20 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2501.03471.

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

pith.paper-citation-record.v1
2501.03471 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 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

58 of 58 outbound references displayed

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  • verified fuzzy42
  • unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f66bbd7b-18a5-4b8b-8c42-c8ff75238e75 · outbound

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

Hyperbolic Binary Neural Network Imagenet classification with deep convolutional neural networks,

Reference 1

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This paper cites Deep residual learning for image recognition,.

Hyperbolic Binary Neural Network Deep residual learning for image recognition,

Reference 2

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Observation 6d8568e3-9c16-46bf-87d9-d2ef366afefa · outbound

This paper cites You only look once: Unified, real-time object detection,.

Hyperbolic Binary Neural Network You only look once: Unified, real-time object detection,

Reference 3

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This paper cites Mask r-cnn,.

Hyperbolic Binary Neural Network Mask r-cnn,

Reference 4

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Observation 4419a947-312b-4cf6-8990-090bea30e711 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Hyperbolic Binary Neural Network Fully convolutional networks for semantic segmentation,

Reference 5

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Observation cc7807f1-329c-4732-afb9-0658bec01a39 · outbound

This paper cites Learning deconvolution network for semantic segmentation,.

Hyperbolic Binary Neural Network Learning deconvolution network for semantic segmentation,

Reference 6

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Observation aaa9f251-3230-4b15-b943-5a258898154b · outbound

This paper cites Global sparse momentum sgd for pruning very deep neural networks,.

Hyperbolic Binary Neural Network Global sparse momentum sgd for pruning very deep neural networks,

Reference 7

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Observation f9e720d2-8530-4642-b2c0-5eeb6b30476c · outbound

This paper cites Hrank: Filter pruning using high-rank feature map,.

Hyperbolic Binary Neural Network Hrank: Filter pruning using high-rank feature map,

Reference 8

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Observation 59b93d7c-6bfa-415b-9ccf-ae5f17d9680c · outbound

This paper cites Unified data-free com- pression: Pruning and quantization without fine-tuning,.

Hyperbolic Binary Neural Network Unified data-free com- pression: Pruning and quantization without fine-tuning,

Reference 9

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Observation 5f6f26d1-579a-44c1-90a3-4e768bea4650 · outbound

This paper cites Scalable methods for 8-bit training of neural networks,.

Hyperbolic Binary Neural Network Scalable methods for 8-bit training of neural networks,

Reference 10

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Source-reported events for the cited work

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Observation dfde2f13-0467-4dff-a063-251d88aabd5e · outbound

This paper cites Latent weights do not exist: Rethinking binarized neu- ral network optimization,.

Hyperbolic Binary Neural Network Latent weights do not exist: Rethinking binarized neu- ral network optimization,

Reference 11

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Observation a4c156e4-5e98-4654-a17f-942981aaf866 · outbound

This paper cites Propagating asymptotic- estimated gradients for low bitwidth quantized neural networks,.

Hyperbolic Binary Neural Network Propagating asymptotic- estimated gradients for low bitwidth quantized neural networks,

Reference 12

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Observation d4748e2f-e5c9-465b-bda0-670eb8991df1 · outbound

This paper cites Learning Discretized Neural Networks under Ricci Flow.

Hyperbolic Binary Neural Network Learning Discretized Neural Networks under Ricci Flow

Reference 13

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Observation a31685f8-7dcb-4e9c-805e-cbe263072190 · outbound

This paper cites Data- free quantization via mixed-precision compensation without fine-tuning,.

Hyperbolic Binary Neural Network Data- free quantization via mixed-precision compensation without fine-tuning,

Reference 14

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Observation 609d8699-0269-4b1a-ab57-cb88eba84d75 · outbound

This paper cites Dccd: Reducing neural network redundancy via distillation,.

Hyperbolic Binary Neural Network Dccd: Reducing neural network redundancy via distillation,

Reference 15

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Observation 35b46e39-3eb8-4767-940b-ad4da07d920f · outbound

This paper cites A learning framework for n-bit quantized neural networks toward fpgas,.

Hyperbolic Binary Neural Network A learning framework for n-bit quantized neural networks toward fpgas,

Reference 16

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Observation e8b468e6-3ab9-4033-bb11-3f8f0d49657c · outbound

This paper cites Convex optimization: Algorithms and complexity,.

Hyperbolic Binary Neural Network Convex optimization: Algorithms and complexity,

Reference 17

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Observation 09299414-0aa0-4d13-bddf-d899841afa33 · outbound

This paper cites Mirror de- scent view for neural network quantization,.

Hyperbolic Binary Neural Network Mirror de- scent view for neural network quantization,

Reference 18

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Observation 387ff016-e6f0-43ab-bce0-0ec8ce4d2933 · outbound

This paper cites Rotated binary neural network,.

Hyperbolic Binary Neural Network Rotated binary neural network,

Reference 19

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Observation f7593a5a-4617-4b14-8ad6-539164dd41f6 · outbound

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Hyperbolic Binary Neural Network Unresolved cited work

Reference 20

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Observation dd577211-82bc-4644-b47f-351b98ffe21a · outbound

This paper cites Optimization algorithms on matrix manifolds,.

Hyperbolic Binary Neural Network Optimization algorithms on matrix manifolds,

Reference 21

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Source-reported events for the cited work

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Observation 5272d576-0a83-4329-80ac-bcb8a43efd3d · outbound

This paper cites Decentralized riemannian conjugate gradient method on the stiefel manifold,.

Hyperbolic Binary Neural Network Decentralized riemannian conjugate gradient method on the stiefel manifold,

Reference 22

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Observation 72b8090f-7d64-455b-9885-6c547b17d13c · outbound

This paper cites Orthogonal recurrent neural networks with scaled cayley transform,.

Hyperbolic Binary Neural Network Orthogonal recurrent neural networks with scaled cayley transform,

Reference 23

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Observation 0009b7ff-cdbb-4770-81bd-4df211120381 · outbound

This paper cites Cheap orthogonal con- straints in neural networks: A simple parametrization of the orthogonal and unitary group,.

Hyperbolic Binary Neural Network Cheap orthogonal con- straints in neural networks: A simple parametrization of the orthogonal and unitary group,

Reference 24

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Observation e2ff33d5-6b18-491e-bd1c-fc32c18a62f3 · outbound

This paper cites Trivializations for gradient-based optimization on manifolds,.

Hyperbolic Binary Neural Network Trivializations for gradient-based optimization on manifolds,

Reference 25

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Observation 0da5600f-32a5-4fb3-9958-4b33fa2b0ffc · outbound

This paper cites Xnor-net: Imagenet classification using binary convolutional neural networks,.

Hyperbolic Binary Neural Network Xnor-net: Imagenet classification using binary convolutional neural networks,

Reference 26

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Source-reported events for the cited work

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Observation dd71184e-4bd1-4777-bd73-1a72dd73bab3 · outbound

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Hyperbolic Binary Neural Network XNOR-Net++: Improved Binary Neural Networks

Reference 27

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Source-reported events for the cited work

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Observation 07da206a-32db-426c-bd6e-b4eb6194f415 · outbound

This paper cites Bi- real net: Binarizing deep network towards real-network performance,.

Hyperbolic Binary Neural Network Bi- real net: Binarizing deep network towards real-network performance,

Reference 28

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Source-reported events for the cited work

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Observation ae250ab2-1c99-4358-8d72-7db8bba62ab1 · outbound

This paper cites Proxybnn: Learning binarized neural networks via proxy matrices,.

Hyperbolic Binary Neural Network Proxybnn: Learning binarized neural networks via proxy matrices,

Reference 29

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Source-reported events for the cited work

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Observation 6dbb8463-2ce3-458a-8f85-0f245753a86c · outbound

This paper cites Forward and backward information retention for accurate binary neural networks,.

Hyperbolic Binary Neural Network Forward and backward information retention for accurate binary neural networks,

Reference 30

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Source-reported events for the cited work

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Observation a0e459ed-9070-4acc-a4be-207ff739f2ce · outbound

This paper cites Recu: Reviving the dead weights in binary neural networks,.

Hyperbolic Binary Neural Network Recu: Reviving the dead weights in binary neural networks,

Reference 31

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Source-reported events for the cited work

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Observation 5885358a-b65f-47e1-bf36-792374b1a868 · outbound

This paper cites Weight normalization: A simple repa- rameterization to accelerate training of deep neural networks,.

Hyperbolic Binary Neural Network Weight normalization: A simple repa- rameterization to accelerate training of deep neural networks,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12d7a36f-e120-4d42-bbc4-a072da8572a3 · outbound

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Hyperbolic Binary Neural Network Centered weight normalization in accelerating training of deep neural networks,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Petersen, Riemannian geometry, vol.

Hyperbolic Binary Neural Network Petersen, Riemannian geometry, vol

Reference 34

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Source-reported events for the cited work

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Observation 2c8d3cc7-4e2e-490b-9422-ba9fd33a05c9 · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

Hyperbolic Binary Neural Network Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 35

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Source-reported events for the cited work

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Hyperbolic Binary Neural Network Neural networks for machine learning,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d13c0410-0703-4792-b4a5-33264f1c13e7 · outbound

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

Hyperbolic Binary Neural Network Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa897b29-1cce-4741-8204-e0b521244696 · outbound

This paper cites an unresolved cited work.

Hyperbolic Binary Neural Network Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:56:11.546311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3ceaa20b-fd23-4e30-b0a5-1e782dedd50b · outbound

This paper cites Hyperbolic neural networks,.

Hyperbolic Binary Neural Network Hyperbolic neural networks,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12057afc-e405-403b-a131-b8cb18096a67 · outbound

This paper cites Poincar ´e embeddings for learning hierarchical representations,.

Hyperbolic Binary Neural Network Poincar ´e embeddings for learning hierarchical representations,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.514575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ed099431-c133-4602-a2a6-825044146de5 · outbound

This paper cites Hyperbolic entailment cones for learning hierarchical embeddings,.

Hyperbolic Binary Neural Network Hyperbolic entailment cones for learning hierarchical embeddings,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.500014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e02cc850-e329-4dea-be1b-bac25efd8a00 · outbound

This paper cites Hyperbolic trigonometry and its application in the poincar´e ball model of hyperbolic geometry,.

Hyperbolic Binary Neural Network Hyperbolic trigonometry and its application in the poincar´e ball model of hyperbolic geometry,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.485404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 39012a46-61d4-47ba-ab37-2dee7b4423c5 · outbound

This paper cites A gyrovector space approach to hyperbolic geometry,.

Hyperbolic Binary Neural Network A gyrovector space approach to hyperbolic geometry,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.471271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 81fc53c2-f5a5-4708-b8d7-4708e72b7d6b · outbound

This paper cites Riemannian metrics,.

Hyperbolic Binary Neural Network Riemannian metrics,

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 496b9cf0-d2b8-404c-887e-4c9968fe81f3 · outbound

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

Hyperbolic Binary Neural Network Learning multiple layers of features from tiny images,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:11.094227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:11.094227Z digest=sha256:65cdf268116d96bdc16cdc5fe05041490773bdefb0e57c52ef7a26709a9395c4

Observation 168c04e2-119c-4206-9259-eebc6d08eec3 · outbound

This paper cites Accelerate cnns from three dimensions: a comprehensive pruning framework,.

Hyperbolic Binary Neural Network Accelerate cnns from three dimensions: a comprehensive pruning framework,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.434846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cf83b9c0-f23b-4206-8e01-503b846d6c4d · outbound

This paper cites Network Binarization via Contrastive Learning.

Hyperbolic Binary Neural Network Network Binarization via Contrastive Learning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:11.212729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d50a05f3-ced6-4a89-a729-96b24c8848d9 · outbound

This paper cites Estimator meets equilibrium perspective: A rectified straight through estimator for binary neural networks training,.

Hyperbolic Binary Neural Network Estimator meets equilibrium perspective: A rectified straight through estimator for binary neural networks training,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.420359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:56:11.107242Z digest=sha256:e3ce11437860b13e8ba5405eecb0f567e62dcc3216167c98fa9b35a6920c7038

Observation bc845137-05c3-4caf-8168-404ee300af74 · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations,.

Hyperbolic Binary Neural Network Binaryconnect: Training deep neural networks with binary weights during propagations,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:11.111504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:11.111504Z digest=sha256:14995d6591df62ae9069fcedd57f6d4adbfebb41fdebbe1489d6cfbfaef36f0c

Observation 690ffb87-a7a5-49c7-b8d9-2ce60331eb7b · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Hyperbolic Binary Neural Network DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:11.115842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:11.115842Z digest=sha256:aa1f96a0728f8d82bc9b350b8c48f89d4a84f26054f2646217458635ad62bd1a

Observation bdfff360-39ea-4955-a728-3ead9a208e61 · outbound

This paper cites Regularizing activation distribution for training binarized deep networks,.

Hyperbolic Binary Neural Network Regularizing activation distribution for training binarized deep networks,

Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 218e89f0-d163-413e-aa53-f0097a63285b · outbound

This paper cites Dif- ferentiable soft quantization: Bridging full-precision and low-bit neural networks,.

Hyperbolic Binary Neural Network Dif- ferentiable soft quantization: Bridging full-precision and low-bit neural networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.382767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:56:11.124813Z digest=sha256:584f100803e436b4ba577e9d5e27cabd6833dd2f7b665471767286b241361e1e

Observation a1311e59-227f-41ea-be66-5cf53d0a4c4e · outbound

This paper cites Searching for low-bit weights in quantized neural networks,.

Hyperbolic Binary Neural Network Searching for low-bit weights in quantized neural networks,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.369001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cfaa6904-3115-4c10-af29-bbaf14f210a5 · outbound

This paper cites Towards accurate binary convolutional neural network,.

Hyperbolic Binary Neural Network Towards accurate binary convolutional neural network,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.354111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7f966bd0-5b7f-4b99-b97c-f85256fc2817 · outbound

This paper cites Learning frequency domain approximation for binary neural networks,.

Hyperbolic Binary Neural Network Learning frequency domain approximation for binary neural networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.339471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:56:11.137719Z digest=sha256:2f86f09d5c5e4076add81f6eff5ed1fb04892ad9d2a376be62cd8a0a5c64627c

Observation 5194eb59-df0e-404f-9ae7-27e5dcbda832 · outbound

This paper cites Resilient binary neural network,.

Hyperbolic Binary Neural Network Resilient binary neural network,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.324774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:56:11.142870Z digest=sha256:1e921bb625fa1abd80f76a35d8e6c912bf81f10c7fcea99cc2e8470b0ed62e68

Observation 005c958d-ff65-4e10-96e6-d32ed9132419 · outbound

This paper cites Training binary neural networks through learning with noisy supervision,.

Hyperbolic Binary Neural Network Training binary neural networks through learning with noisy supervision,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.309470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c7f5fa1d-8d95-4da0-922e-5814e5a60c2c · outbound

This paper cites Visualizing the loss landscape of neural nets,.

Hyperbolic Binary Neural Network Visualizing the loss landscape of neural nets,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:56:11.293161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.