Paper Citation Record · LEDGER

Low-Resolution Neural Networks

As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2502.08795.

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

pith.paper-citation-record.v1
2502.08795 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:43:16.753159Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

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

measured 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy16
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5980f1b7-e17b-489d-8271-e7295c470509 · outbound

This paper cites Cost-efficient sharing algorithms for dnn model serving in mobile edge networks.

Low-Resolution Neural Networks Cost-efficient sharing algorithms for dnn model serving in mobile edge networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.130047Z

Source-reported events for the cited work

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

Observation 06dc1fd9-df07-4115-bb13-7cdf1bcdf8f0 · outbound

This paper cites Gopalakrishnan, and Pritish Narayanan.

Low-Resolution Neural Networks Gopalakrishnan, and Pritish Narayanan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.088781Z

Source-reported events for the cited work

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

Observation e1e7c405-ab16-4fcf-b9b9-e55e0fed7389 · outbound

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

Low-Resolution Neural Networks Binaryconnect: training deep neural networks with binary weights during propagations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.071908Z

Source-reported events for the cited work

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

Observation a8c69e74-3229-4294-9157-380e34989206 · outbound

This paper cites Moosmann, H.

Low-Resolution Neural Networks Moosmann, H

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.055664Z

Source-reported events for the cited work

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

Observation b1df68ae-cd4d-4822-a11d-c9f9e852a213 · outbound

This paper cites Post-training quantization for vision transformer.

Low-Resolution Neural Networks Post-training quantization for vision transformer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.043587Z

Source-reported events for the cited work

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

Observation c148339f-7719-4b04-ad66-93633b56598f · outbound

This paper cites LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit.

Low-Resolution Neural Networks LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.676194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75e44641-8230-4f86-9866-68d713d0bdc9 · outbound

This paper cites Kirtas, A.

Low-Resolution Neural Networks Kirtas, A

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.031135Z

Source-reported events for the cited work

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

Observation 59da9a30-954d-4ec1-8194-7a240906e27b · outbound

This paper cites de Lima and Luigi Carro.

Low-Resolution Neural Networks de Lima and Luigi Carro

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.017580Z

Source-reported events for the cited work

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

Observation 5f2fbf29-3e30-40db-ad8d-6216628dffa4 · outbound

This paper cites Neural Network Quantization with AI Model Efficiency Toolkit (AIMET).

Low-Resolution Neural Networks Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.690934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e224537c-ca3e-41b9-b09b-e3ba4d0b4edf · outbound

This paper cites Training high-performance and large-scale deep neural networks with full 8-bit integers.

Low-Resolution Neural Networks Training high-performance and large-scale deep neural networks with full 8-bit integers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:17.003536Z

Source-reported events for the cited work

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

Observation 989332ae-532b-4811-92ae-1472f0001b08 · outbound

This paper cites Mixed-precision quantized neural networks with progres- sively decreasing bitwidth.

Low-Resolution Neural Networks Mixed-precision quantized neural networks with progres- sively decreasing bitwidth

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.989808Z

Source-reported events for the cited work

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

Observation adcfdb77-c601-405e-849d-c3af0f214921 · outbound

This paper cites Binary neural networks: A survey.

Low-Resolution Neural Networks Binary neural networks: A survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.975443Z

Source-reported events for the cited work

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

Observation fe76cbb9-8e54-4408-aec7-f3b5e7ac0b56 · outbound

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

Low-Resolution Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.707044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493fff30-2c55-48d9-a47c-a12b6313fe9f · outbound

This paper cites Quantization-aware in-situ training for reliable and accurate edge ai.

Low-Resolution Neural Networks Quantization-aware in-situ training for reliable and accurate edge ai

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.963369Z

Source-reported events for the cited work

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

Observation fcf4153d-cc14-4841-9e51-002d4a1a9c4e · outbound

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

Low-Resolution Neural Networks XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.715354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e71e8b-1e32-4dd6-bb2e-f9d9686b40ca · outbound

This paper cites Gxnor-net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.

Low-Resolution Neural Networks Gxnor-net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.950111Z

Source-reported events for the cited work

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

Observation 668a0d09-bbdc-4015-9201-0cc2a57da9af · outbound

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

Low-Resolution Neural Networks BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.723562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf5821f8-3abc-4ec7-95c0-2217b2bd0369 · outbound

This paper cites Controlling information capacity of binary neural network.

Low-Resolution Neural Networks Controlling information capacity of binary neural network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.933735Z

Source-reported events for the cited work

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

Observation 4febd465-f7b6-44af-9787-f38ae149caf0 · outbound

This paper cites Bdnn: Binary convolution neural networks for fast object detection.

Low-Resolution Neural Networks Bdnn: Binary convolution neural networks for fast object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.920778Z

Source-reported events for the cited work

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

Observation 35019b63-7119-4636-9007-698aeab931de · outbound

This paper cites an unresolved cited work.

Low-Resolution Neural Networks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:43:16.906781Z

Source-reported events for the cited work

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

Observation 779fd41e-4701-4cc1-aa53-ab21a07dc204 · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

Low-Resolution Neural Networks The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.740170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da3d00f-20e6-4ee1-b8d6-d58d3c5b99c1 · outbound

This paper cites Neural Discrete Representation Learning.

Low-Resolution Neural Networks Neural Discrete Representation Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.745038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bc1677-cc11-409d-b7e9-a2bf2c99a74a · outbound

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

Low-Resolution Neural Networks Learning multiple layers of features from tiny images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.893170Z

Source-reported events for the cited work

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

Observation 264faea1-6eae-4f45-92d0-72769fe51cf7 · outbound

This paper cites neural discrete repre- sentation learning.

Low-Resolution Neural Networks neural discrete repre- sentation learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:43:16.878710Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.