Paper Citation Record · LEDGER

The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.17776.

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

pith.paper-citation-record.v1
2405.17776 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:07.961317Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:24:33.264232Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94863c14-cf0a-4b9a-8f2e-94f25b6e67ed · inbound

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation cites this paper.

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.961317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 077c1260-fbc4-4756-9c37-96b59e471448 · inbound

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation cites this paper.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T23:00:29.059572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceae321e-e66e-4687-b5c4-1ec0e8929d05 · inbound

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control cites this paper.

GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:24:33.359225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0fca96e3-fc26-49c9-a068-05d487e41777 · inbound

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning cites this paper.

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-31T15:16:35.157744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.