Paper Citation Record · LEDGER

Lightweight Road Environment Segmentation using Vector Quantization

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.14113.

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

pith.paper-citation-record.v1
2504.14113 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:05.447364Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eef1d5a-aa85-43d2-81f7-84049d5c74ef · outbound

This paper cites write newline.

Lightweight Road Environment Segmentation using Vector Quantization write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.315031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9763bb00-0a41-4e81-8846-5d84283417ad · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.899971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b7d869c-0cbd-4385-8d21-331b753ffc5d · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Lightweight Road Environment Segmentation using Vector Quantization TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.325575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba55cf18-160a-4e5f-a900-7f0666864fc8 · outbound

This paper cites L., 2017.

Lightweight Road Environment Segmentation using Vector Quantization L., 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.886202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9fdd28d-a7bd-40de-b6c7-cedec219bccf · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Lightweight Road Environment Segmentation using Vector Quantization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.335247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5720822-d0a0-4d65-af68-b4c04b82a47d · outbound

This paper cites Synergynet: Bridging the gap between discrete and continuous representations for precise medical image segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Synergynet: Bridging the gap between discrete and continuous representations for precise medical image segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.872505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4aeb7268-b49e-467a-a175-fc1fbb4122d6 · outbound

This paper cites Denoising diffusion probabilistic models.

Lightweight Road Environment Segmentation using Vector Quantization Denoising diffusion probabilistic models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.858869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 985e5408-88c4-4c20-a9b4-53ebab11bb5e · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Fully convolutional networks for semantic segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.845091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e935101b-9bf5-468c-88b3-cf41c6c2a78e · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

Lightweight Road Environment Segmentation using Vector Quantization MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.353325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c7fc33c-e252-4fcc-a5fa-5113b11a17d6 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Lightweight Road Environment Segmentation using Vector Quantization Finite Scalar Quantization: VQ-VAE Made Simple

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.358145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29e4232-fac0-4b96-add4-cbeb823d53c0 · outbound

This paper cites KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models.

Lightweight Road Environment Segmentation using Vector Quantization KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.362694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e01e434-bedb-4f7a-b122-415964111454 · outbound

This paper cites A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs.

Lightweight Road Environment Segmentation using Vector Quantization A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.830324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c146477-4d00-48be-bc33-34ce905faea0 · outbound

This paper cites MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation.

Lightweight Road Environment Segmentation using Vector Quantization MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.371966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105d47f5-ac5c-41bc-86ed-a3d720943d65 · outbound

This paper cites Segformer3d: An efficient transformer for 3d medical image segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Segformer3d: An efficient transformer for 3d medical image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.815133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 647d74e3-8fd2-4c8b-a687-31c430f09e47 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Lightweight Road Environment Segmentation using Vector Quantization High-resolution image synthesis with latent diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.801087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 635da012-7367-4439-870f-d0636edd0240 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Lightweight Road Environment Segmentation using Vector Quantization U-net: Convolutional networks for biomedical image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.785758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 529f7831-f9b1-4736-9843-0ad62756d218 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Lightweight Road Environment Segmentation using Vector Quantization Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.769516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb46c6d3-a9f6-46a2-a4af-6245d739ceee · outbound

This paper cites Vector quantisation for robust segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Vector quantisation for robust segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.755038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d376807e-38af-4628-805a-cb3b2e52b9d5 · outbound

This paper cites Spatial-aware feature aggregation for image based cross-view geo-localization.

Lightweight Road Environment Segmentation using Vector Quantization Spatial-aware feature aggregation for image based cross-view geo-localization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.740181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54c4c53d-0126-44cb-8f00-d401040a5f37 · outbound

This paper cites Segmenter: Transformer for semantic segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Segmenter: Transformer for semantic segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.724663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3bcf16dc-ffda-4f30-8556-acf7b574281e · outbound

This paper cites et al., 2017.

Lightweight Road Environment Segmentation using Vector Quantization et al., 2017

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.709523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac6011b3-35bf-4786-b684-512fddd667f9 · outbound

This paper cites Attention is all you need.

Lightweight Road Environment Segmentation using Vector Quantization Attention is all you need

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.412126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4121e9c5-c72f-4ce4-8cdf-98e5ec24a0d1 · outbound

This paper cites Transbts: Multimodal brain tumor segmentation using transformer.

Lightweight Road Environment Segmentation using Vector Quantization Transbts: Multimodal brain tumor segmentation using transformer

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.683902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c347595-1612-40f3-901f-06b66bbdc374 · outbound

This paper cites M., Luo, P., 2021.

Lightweight Road Environment Segmentation using Vector Quantization M., Luo, P., 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.668027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ecef1e8f-b6ab-4b74-93a5-32b7ff9dfc88 · outbound

This paper cites HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec.

Lightweight Road Environment Segmentation using Vector Quantization HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.425034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f95ef8-0c11-43fa-b3f9-313b5eb35ca3 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Lightweight Road Environment Segmentation using Vector Quantization Vector-quantized Image Modeling with Improved VQGAN

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:05.429635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08295c1-094d-46aa-9f4f-ce917f632c38 · outbound

This paper cites Soundstream: An end-to-end neural audio codec.

Lightweight Road Environment Segmentation using Vector Quantization Soundstream: An end-to-end neural audio codec

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.653395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3930c9c-4d14-46a5-b601-467644c86508 · outbound

This paper cites Transfuse: Fusing transformers and cnns for medical image segmentation.

Lightweight Road Environment Segmentation using Vector Quantization Transfuse: Fusing transformers and cnns for medical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.638304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f9b78e6-88d1-48cc-9418-3852acdccf81 · outbound

This paper cites Vigor: Cross-view image geo-localization beyond one-to-one retrieval.

Lightweight Road Environment Segmentation using Vector Quantization Vigor: Cross-view image geo-localization beyond one-to-one retrieval

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.623366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d716a269-d404-49aa-92d3-d4736371e89f · outbound

This paper cites K., Yilmaz, A., 2024.

Lightweight Road Environment Segmentation using Vector Quantization K., Yilmaz, A., 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:00:05.606623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.