Paper Citation Record · LEDGER

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.14495.

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

pith.paper-citation-record.v1
2501.14495 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:09:51.394202Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

38 of 38 outbound references displayed

verified exact3
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ca037a5-1500-45ef-9aed-2ca235052243 · outbound

This paper cites Gate-shift networks for video action recognition,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Gate-shift networks for video action recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.949050Z

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.

Observation 6092e0c4-2714-4d63-a900-dd0c0ddde7bd · outbound

This paper cites Temporal segment networks for action recognition in videos,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Temporal segment networks for action recognition in videos,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.935050Z

Source-reported events for the cited work

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Observation 47aee195-8840-4af5-835b-84114611235c · outbound

This paper cites Gating re- visited: Deep multi-layer RNNs that can be trained,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Gating re- visited: Deep multi-layer RNNs that can be trained,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.921763Z

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Observation 9fba6a1f-1b10-4cd6-b4f5-17b6caa4bc06 · outbound

This paper cites Quo vadis, action recognition? a new model and the Kinetics dataset,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Quo vadis, action recognition? a new model and the Kinetics dataset,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.908306Z

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Observation f9d9e131-83bf-4270-8ea4-36ec8531a0af · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 5

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Source-reported events for the cited work

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Observation 86935754-81bd-47be-8313-6e1c03528122 · outbound

This paper cites The Jester dataset: A large-scale video dataset of human gestures,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference The Jester dataset: A large-scale video dataset of human gestures,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.893783Z

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.

Observation 00f51229-d641-4e57-9d97-450badba8c39 · outbound

This paper cites Can spatiotemporal 3D cnns retrace the history of 2D cnns and imagenet?.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Can spatiotemporal 3D cnns retrace the history of 2D cnns and imagenet?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.880135Z

Source-reported events for the cited work

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Observation 7550150f-18f5-4bf2-9186-f4b03af9179c · outbound

This paper cites Long Short-Term Memory,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Long Short-Term Memory,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.867521Z

Source-reported events for the cited work

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Observation e6c4b65c-aedb-44fd-9b1b-16859b7b97e4 · outbound

This paper cites Resource efficient 3D convolutional neural networks,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Resource efficient 3D convolutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.854627Z

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.

Observation a7389c92-47e4-4571-90d7-d92faec0326c · outbound

This paper cites Tiny Video Networks.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Tiny Video Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:09:51.544096Z

Source-reported events for the cited work

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Observation f27d7d0e-8fb7-4331-bf07-aa274929b348 · outbound

This paper cites 3D CNN acceleration on FPGA using hardware-aware pruning,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference 3D CNN acceleration on FPGA using hardware-aware pruning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.839041Z

Source-reported events for the cited work

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Observation f0c3d5d7-b110-41e4-95a1-1feea8bc848d · outbound

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

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Quantized neural networks: Training neural networks with low preci- sion weights and activations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.824683Z

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.

Observation fef8cbf6-68b1-4b07-9f7f-abf75a3c8ced · outbound

This paper cites Bi- narized neural networks,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Bi- narized neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.810332Z

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Observation ec4ec736-1861-4154-96c5-e923d17a77a5 · outbound

This paper cites Learned step size quantization,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Learned step size quantization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.796276Z

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Observation 4499f90c-d8db-426a-8d7f-7de0164dee8a · outbound

This paper cites Recurrent Neural Networks With Limited Numerical Precision.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Recurrent Neural Networks With Limited Numerical Precision

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:09:51.524754Z

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.

Observation 7975a117-0000-47cd-a5ee-cd20cbfd0074 · outbound

This paper cites Effective quantization approaches for recurrent neural networks,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Effective quantization approaches for recurrent neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.782315Z

Source-reported events for the cited work

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Observation 9cf9cbc8-5079-4932-b688-00c3cf0695ff · outbound

This paper cites Deep residual learning for image recognition,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Deep residual learning for image recognition,

Reference 17

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Source-reported events for the cited work

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Observation 196bdfde-fc79-4ffa-b69d-7430f7a71548 · outbound

This paper cites Residual attention network for image classification,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Residual attention network for image classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.759941Z

Source-reported events for the cited work

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Observation 8f8879bd-87c9-4b1a-9808-cb18d85e32f3 · outbound

This paper cites Squeeze-and-excitation networks,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Squeeze-and-excitation networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.746969Z

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.

Observation 0f81dbfd-5614-4068-b8ed-865135e8571c · outbound

This paper cites Learning spatio-temporal features with 3D residual networks for action recognition,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Learning spatio-temporal features with 3D residual networks for action recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.734723Z

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.

Observation 916bca99-8d99-4275-9ac7-b26a12bff0a4 · outbound

This paper cites Revisiting 3D ResNets for Video Recognition.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Revisiting 3D ResNets for Video Recognition

Reference 21

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Source-reported events for the cited work

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Observation 1b6d1c31-29c4-424a-9c36-a1414ed2286d · outbound

This paper cites Spatio- temporal attention networks for action recognition and detection,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Spatio- temporal attention networks for action recognition and detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.721576Z

Source-reported events for the cited work

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Observation 964ab87e-ef2a-48d6-9f08-0c3a720fa043 · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference A closer look at spatiotemporal convolutions for action recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.707847Z

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.

Observation a85fce89-8fbe-44a1-b6b8-612e3146178f · outbound

This paper cites Rethinking spatio- temporal feature learning: Speed-accuracy trade-offs in video classifica- tion,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Rethinking spatio- temporal feature learning: Speed-accuracy trade-offs in video classifica- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.694430Z

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Observation bf0c568c-786b-4bc3-9b25-0b30cf2ce30b · outbound

This paper cites Learning spatio-temporal representation with pseudo-3D residual networks,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Learning spatio-temporal representation with pseudo-3D residual networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.680973Z

Source-reported events for the cited work

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Observation d0089e38-2a0f-4384-a544-717c7879084f · outbound

This paper cites TSM: Temporal shift module for efficient video understanding,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference TSM: Temporal shift module for efficient video understanding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.667074Z

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.

Observation 10f45ddf-8f33-4ef0-b9d5-cff9ceebbf19 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.651054Z

Source-reported events for the cited work

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Observation add81909-b74b-4b97-b550-76dc3d73e825 · outbound

This paper cites Dynamic network quantization for efficient video inference,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Dynamic network quantization for efficient video inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.636268Z

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.

Observation b163ce48-badc-486e-b18e-b488930ecc63 · outbound

This paper cites Efficient binary 3D convo- lutional neural network and hardware accelerator,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Efficient binary 3D convo- lutional neural network and hardware accelerator,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.622665Z

Source-reported events for the cited work

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Observation b4301e80-485b-4b9e-8048-c9c1dadd7bf8 · outbound

This paper cites 4-bit Quantization of LSTM-based Speech Recognition Models.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference 4-bit Quantization of LSTM-based Speech Recognition Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:09:51.476984Z

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

Observation 56018f21-000e-49de-b861-2750ec62626c · outbound

This paper cites HitNet: Hybrid ternary recurrent neural network,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference HitNet: Hybrid ternary recurrent neural network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.609044Z

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.

Observation b15e8992-9218-44a3-878c-c310f6e484ad · outbound

This paper cites DC-LSTM: Deep com- pressed LSTM with low bit-width and structured matrices,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference DC-LSTM: Deep com- pressed LSTM with low bit-width and structured matrices,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.594877Z

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.

Observation ab4f281f-b5cb-4c9a-88f1-958af78b041c · outbound

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

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 34

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Source-reported events for the cited work

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Observation 012f4215-4c95-4bd7-a1f5-c780828a97dd · outbound

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

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T15:09:51.380925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c82684e-8196-4fac-af12-57e983e43e56 · outbound

This paper cites Ternary Weight Networks.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Ternary Weight Networks

Reference 36

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Source-reported events for the cited work

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Observation cfada1e4-b3fb-434c-a958-e43f64d1d033 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Adam: A method for stochastic optimiza- tion,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T15:09:51.390229Z

Source-reported events for the cited work

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Observation a536b5aa-b984-486e-b62f-aea495c507c9 · outbound

This paper cites Differentiable joint pruning and quantization for hardware efficiency,.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Differentiable joint pruning and quantization for hardware efficiency,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:09:51.571654Z

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.

Observation faeebf88-a1d1-49b8-a7b4-17e2b9b7ca20 · outbound

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

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T15:09:51.349736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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