Paper Citation Record · LEDGER

HarDNet: A Low Memory Traffic Network

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1909.00948.

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

pith.paper-citation-record.v1
1909.00948 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:36:32.050169Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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

36 of 36 outbound references displayed

verified exact2
verified fuzzy25
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18430ca8-20b5-4180-8924-26ae70c66c96 · outbound

This paper cites Fused-layer CNN accelerators.

HarDNet: A Low Memory Traffic Network Fused-layer CNN accelerators

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.558677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9f1df31-9c3a-4d54-a55b-4c91f483bb4a · outbound

This paper cites SegNet: A Deep Convolutional Encoder-Decoder Architec- ture for Image Segmentation.

HarDNet: A Low Memory Traffic Network SegNet: A Deep Convolutional Encoder-Decoder Architec- ture for Image Segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.546946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c1e378b-6c25-4640-8f79-0c09b65911d3 · outbound

This paper cites Brostow, Julien Fauqueur, and Roberto Cipolla.

HarDNet: A Low Memory Traffic Network Brostow, Julien Fauqueur, and Roberto Cipolla

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.534952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3631064a-2007-421b-b6b7-aeeb87aa0ec7 · outbound

This paper cites Goodman, and Alain K ¨agi.

HarDNet: A Low Memory Traffic Network Goodman, and Alain K ¨agi

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.522882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fcbfed46-2c18-42e5-9619-32e0eb4eb748 · outbound

This paper cites A dynamically conﬁgurable coproces- sor for convolutional neural networks.

HarDNet: A Low Memory Traffic Network A dynamically conﬁgurable coproces- sor for convolutional neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.510547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb75555b-8713-4b12-9bf5-7722c8fae42e · outbound

This paper cites Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning.

HarDNet: A Low Memory Traffic Network Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.497907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ada6a1be-9437-492c-a6c1-48d9852fb46b · outbound

This paper cites Eyeriss: A Spatial Architecture for Energy-Efﬁcient Dataﬂow for Con- volutional Neural Networks.

HarDNet: A Low Memory Traffic Network Eyeriss: A Spatial Architecture for Energy-Efﬁcient Dataﬂow for Con- volutional Neural Networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.485473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2292ced-ed1a-48f3-879f-4e8f5d4a0147 · outbound

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

HarDNet: A Low Memory Traffic Network Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:31.921622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14927a6c-5788-4421-b671-8b3e7bb4bce2 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

HarDNet: A Low Memory Traffic Network ImageNet: A large-scale hierarchical im- age database

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.473195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6cc8fc6-3a7e-4b29-a793-4d24f028ce73 · outbound

This paper cites The Importance of Skip Connections in Biomedical Image Segmentation.

HarDNet: A Low Memory Traffic Network The Importance of Skip Connections in Biomedical Image Segmentation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:36:32.168070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d297dff-41e8-4ee8-8a9a-55bc0dce66fd · outbound

This paper cites NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representa- tions of Feature Maps.

HarDNet: A Low Memory Traffic Network NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representa- tions of Feature Maps

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.460771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0432169-c6bd-4c07-94d9-b03d20c29c22 · outbound

This paper cites an unresolved cited work.

HarDNet: A Low Memory Traffic Network Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:36:32.448337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b65c352-f5a2-4e12-9011-773c2c4ddd8d · outbound

This paper cites NeuFlow: A runtime reconﬁgurable dataﬂow processor for vision.

HarDNet: A Low Memory Traffic Network NeuFlow: A runtime reconﬁgurable dataﬂow processor for vision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.435606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9be0998e-429a-408f-a819-4c5796a94312 · outbound

This paper cites Hardware-oriented approximation of convolutional neural networks.

HarDNet: A Low Memory Traffic Network Hardware-oriented approximation of convolutional neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.422219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f241371-b9e2-4830-8885-5f699c16e034 · outbound

This paper cites an unresolved cited work.

HarDNet: A Low Memory Traffic Network Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:36:32.408542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2402c6ae-c0e7-4ae8-a5ae-f5c24c94c78e · outbound

This paper cites Deep residual learning for image recognition.

HarDNet: A Low Memory Traffic Network Deep residual learning for image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.394836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ad6b67e-0fe5-461f-b983-92cf6f73cbe1 · outbound

This paper cites Log-DenseNet: How to Sparsify a DenseNet.

HarDNet: A Low Memory Traffic Network Log-DenseNet: How to Sparsify a DenseNet

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:36:32.148300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a274779-6d26-4292-bac9-86ba37f6dd75 · outbound

This paper cites Weinberger.

HarDNet: A Low Memory Traffic Network Weinberger

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.382236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78253d6b-17e6-4c91-926f-d385ac86881d · outbound

This paper cites Deep networks with stochastic depth.

HarDNet: A Low Memory Traffic Network Deep networks with stochastic depth

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.367765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16ba2b0a-91b9-41db-acfc-9003c282f28c · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

HarDNet: A Low Memory Traffic Network SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:31.974189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf3ac50-a9a2-4023-838d-8cde43a9f25b · outbound

This paper cites The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Seg- mentation.

HarDNet: A Low Memory Traffic Network The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Seg- mentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.353833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a07ce1a-1957-4a8c-9639-2ce9988320c2 · outbound

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

HarDNet: A Low Memory Traffic Network Learning multiple layers of features from tiny images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.341701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 51b73c2c-f62a-4058-891e-adc1bff73ff4 · outbound

This paper cites an unresolved cited work.

HarDNet: A Low Memory Traffic Network Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:36:32.329369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ba46521-93df-4b48-9967-abdae7e07e72 · outbound

This paper cites FractalNet: Ultra-deep neural networks without residuals.

HarDNet: A Low Memory Traffic Network FractalNet: Ultra-deep neural networks without residuals

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.315828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24da818c-4844-45cf-bef8-71205b31babc · outbound

This paper cites Optimizing Memory Efﬁciency for Deep Convolutional Neural Networks on GPUs.

HarDNet: A Low Memory Traffic Network Optimizing Memory Efﬁciency for Deep Convolutional Neural Networks on GPUs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.302824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfbb06fd-49e7-4b2f-a9d4-c28b43371b28 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

HarDNet: A Low Memory Traffic Network Lawrence Zitnick, and Piotr Doll ´ar

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.290489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78d9f84d-a93c-4ec9-8fd0-2f169195758a · outbound

This paper cites Fully convolutional networks for semantic segmentation.

HarDNet: A Low Memory Traffic Network Fully convolutional networks for semantic segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.278343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1c737d2-dbb7-4156-b4a7-cf9bb0572cb6 · outbound

This paper cites Convolutional Neural Networks using Logarithmic Data Representation.

HarDNet: A Low Memory Traffic Network Convolutional Neural Networks using Logarithmic Data Representation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:32.010938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fadaeb6-5885-4802-8a57-96d4d2e760ca · outbound

This paper cites XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks.

HarDNet: A Low Memory Traffic Network XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:32.015533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6203af4a-fa03-474a-8abf-0a27b97479d7 · outbound

This paper cites SCALE-Sim: Systolic CNN Accelerator Simulator.

HarDNet: A Low Memory Traffic Network SCALE-Sim: Systolic CNN Accelerator Simulator

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:32.020182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc2a457-2e41-45c2-96a4-f5d952b998b1 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

HarDNet: A Low Memory Traffic Network MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.265130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56226113-fb32-49aa-9519-289c8b8eae52 · outbound

This paper cites Very deep con- volutional networks for large-scale image recognition.

HarDNet: A Low Memory Traffic Network Very deep con- volutional networks for large-scale image recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.251467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 418d41f0-1184-4e5c-8735-ebe3fb9ca1f6 · outbound

This paper cites Training very deep networks.

HarDNet: A Low Memory Traffic Network Training very deep networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.237706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7357c732-ea4d-4123-981e-e9f81a28f047 · outbound

This paper cites Rethinking the in- ception architecture for computer vision.

HarDNet: A Low Memory Traffic Network Rethinking the in- ception architecture for computer vision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.223677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f2c6e6b-7984-4164-adad-bc938414792f · outbound

This paper cites an unresolved cited work.

HarDNet: A Low Memory Traffic Network Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:36:32.210011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06abaf03-c76d-4163-9d5f-42c6f3544a8f · outbound

This paper cites Sparsely Aggregated Convolu- tional Networks.

HarDNet: A Low Memory Traffic Network Sparsely Aggregated Convolu- tional Networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:36:32.196876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.