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Paper Citation Record · LEDGER

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2507.03523.

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

pith.paper-citation-record.v1
2507.03523 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:15:05.903532Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:22:25.336135Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation af3fbf45-0a06-4eef-b9c3-0286f2808276 · outbound

This paper cites A survey of enabling technologies for network localization, tracking, and navigation,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A survey of enabling technologies for network localization, tracking, and navigation,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:10.374807Z

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.

source=pdf_text observed=2026-08-06T20:15:03.306147Z digest=sha256:7396f104c4ce56df635794fccb3538d17eea3682880fa5ef0e7cce7cab7e93d6

Observation 16faeb73-4f31-41f4-aa93-6b7c9bd189f7 · outbound

This paper cites Precision positioning for smart logistics using ultra-wideband technology-based indoor naviga- tion: A review,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Precision positioning for smart logistics using ultra-wideband technology-based indoor naviga- tion: A review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:10.046110Z

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.

source=pdf_text observed=2026-08-06T20:15:03.400644Z digest=sha256:2f86fd3650b1086ac7c8c2198a483cb2233631aeb097d4d10bc39b5da3dbf507

Observation 30a6f6af-a8ac-4f6d-8ef8-38123dcf4a80 · outbound

This paper cites An overview of uwb standards and organizations (ieee 802.15.4, fira, apple): Interoperability aspects and future research directions,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies An overview of uwb standards and organizations (ieee 802.15.4, fira, apple): Interoperability aspects and future research directions,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:03.492761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:03.492761Z digest=sha256:bef5c6a8a4b9f81913e5a0438050fdb66d03031966377017e660775cfd0247bd

Observation 4cb9c1e1-c360-4b9b-8503-1680d5b82c0d · outbound

This paper cites High-accuracy ranging and localization with ultrawideband commu- nications for energy-constrained devices,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies High-accuracy ranging and localization with ultrawideband commu- nications for energy-constrained devices,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:09.759186Z

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.

source=pdf_text observed=2026-08-06T20:15:03.588405Z digest=sha256:d0ddacb41fe8089930f35b2a45f26f750e3b17420e86fcce557cb611c7d052eb

Observation 530b78b5-56b5-4c82-8152-1e9f7d4860c2 · outbound

This paper cites A probabilistic learning approach to uwb ranging error mitigation,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A probabilistic learning approach to uwb ranging error mitigation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:09.556588Z

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.

source=pdf_text observed=2026-08-06T20:15:03.675406Z digest=sha256:4bba30d64ccdbd83000061a8e79b32235df29876eb7c278e712fa487ab97a12d

Observation 25a07f68-f0da-402b-a25a-0b69cccf93a7 · outbound

This paper cites Edge inference for uwb ranging error correction using autoencoders,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Edge inference for uwb ranging error correction using autoencoders,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:09.405097Z

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.

source=pdf_text observed=2026-08-06T20:15:03.772346Z digest=sha256:5dc8a7237ffa3e6da521b6a8bbd4f6e1fb3a4adbc99bde51829d0cf85c082563

Observation 44b95a58-13e4-4915-8055-43035079f5cf · outbound

This paper cites A variational learning approach for concurrent distance estimation and environmental identification,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A variational learning approach for concurrent distance estimation and environmental identification,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:09.177285Z

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.

source=pdf_text observed=2026-08-06T20:15:03.864916Z digest=sha256:9de006fafcff718c6c84633e3fd16e5f5508733f543cc8326c9cd750c1ca3c52

Observation f7b46391-8636-4056-bb8b-dbbd0c17e1a1 · outbound

This paper cites Re- moving the need for ground truth uwb data collection: Self-supervised ranging error correction using deep reinforcement learning,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Re- moving the need for ground truth uwb data collection: Self-supervised ranging error correction using deep reinforcement learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.964643Z

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.

source=pdf_text observed=2026-08-06T20:15:03.966564Z digest=sha256:d940ad55fbcb89c5627921d9e04b0eab6b0d0e6166976d434e173a047e7bc4eb

Observation 21e5e7e8-7f77-4f57-a48d-15f74d2e29ad · outbound

This paper cites Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning

Reference 9

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verified exact
local_arxiv, observed 2026-08-06T20:15:06.260306Z

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.

source=pdf_text observed=2026-08-06T20:15:04.082440Z digest=sha256:857d56d6080d3e5a48a1e24b15dea4942d4e29cf27e0425005e65d8d8c7227bf

Observation f0adff31-97df-4af7-b773-cf79ef486989 · outbound

This paper cites How to select the best sensors for tdoa and tdoa/aoa localization?.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies How to select the best sensors for tdoa and tdoa/aoa localization?

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.888656Z

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.

source=pdf_text observed=2026-08-06T20:15:04.193871Z digest=sha256:26793ce5ca7851a3aaa1f6f3bfed0b5c68e9c05dc1dd7ba83c99d28467e62793

Observation 67d1dd2e-c40e-40cc-a34e-ec564dfed23b · outbound

This paper cites A nonline-of-sight error- mitigation method for toa measurements,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A nonline-of-sight error- mitigation method for toa measurements,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.652848Z

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.

source=pdf_text observed=2026-08-06T20:15:04.268971Z digest=sha256:821738794e577adb0cc078a86fb4a327e43f49aa3e88ef9a5079b9452a688679

Observation 32f0cf2f-2bb3-41ab-984d-7c3370a786c3 · outbound

This paper cites Anchor pair selection for error correction in time difference of arrival (tdoa) ultra wideband (uwb) positioning systems,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Anchor pair selection for error correction in time difference of arrival (tdoa) ultra wideband (uwb) positioning systems,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.402776Z

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.

source=pdf_text observed=2026-08-06T20:15:04.406503Z digest=sha256:641e307bea098485ef481e5cdf81203a023da9863d5a13ce4c4b3821edb7aa32

Observation 36af6af1-b1d8-42d0-a0d0-4bedff212486 · outbound

This paper cites Anomaly detection based on generalized gaussian distribution approach for ultra-wideband (uwb) indoor positioning system,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Anomaly detection based on generalized gaussian distribution approach for ultra-wideband (uwb) indoor positioning system,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.303678Z

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.

source=pdf_text observed=2026-08-06T20:15:04.549740Z digest=sha256:969e6fb8645714e877928dcfaeb51faff61103c6ca23d115c393c5910deef3ca

Observation bfe794a8-9b44-4d42-87ae-8dbbdc8423dc · outbound

This paper cites Non-line-of-sight identification based on unsupervised machine learning in ultra wideband systems,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Non-line-of-sight identification based on unsupervised machine learning in ultra wideband systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.187330Z

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.

source=pdf_text observed=2026-08-06T20:15:04.646011Z digest=sha256:242c5affed3395ab8d88e44be42366cde02affd4c9633944999ad4627bb3dd97

Observation 5d2a7ebe-a1f4-477d-9ed6-6fdc4747af38 · outbound

This paper cites Identification of nlos and multi-path conditions in uwb localization using machine learning methods,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Identification of nlos and multi-path conditions in uwb localization using machine learning methods,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:08.061334Z

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.

source=pdf_text observed=2026-08-06T20:15:04.726993Z digest=sha256:cea8b1ce1e4c20a1b0ae3eda3c5a43e7733f6882ea5420e5e62cd4df2f1c0136

Observation 9d660f3a-ccd2-487d-a455-08574d7640e5 · outbound

This paper cites Uwb nlos/los classification using deep learning method,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Uwb nlos/los classification using deep learning method,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.932729Z

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.

source=pdf_text observed=2026-08-06T20:15:04.814241Z digest=sha256:e6b1d35b933b13a0723218db4750abef183c3c9a09bb9af2502ec5184b0149a5

Observation d2bf33c4-5e29-406a-820e-16bdb1902c53 · outbound

This paper cites Uwb los/nlos identification in multiple indoor environments using deep learning methods,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Uwb los/nlos identification in multiple indoor environments using deep learning methods,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.823237Z

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.

source=pdf_text observed=2026-08-06T20:15:04.904817Z digest=sha256:6710adc15de05571e2589aa8f10172d48e09449d10d1f1a26427b4203910640a

Observation 7e89a7b4-53f9-4195-becb-b7bedfa41b19 · outbound

This paper cites Transfer learning for uwb error correction and (n) los classification in multiple environments,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Transfer learning for uwb error correction and (n) los classification in multiple environments,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.716557Z

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.

source=pdf_text observed=2026-08-06T20:15:04.990845Z digest=sha256:b573b79578bad3f4db92810bad7b55d898fd1b409c4c799d3b136885f2520b1f

Observation 46b8713b-b047-4a7e-85dc-a170390f632e · outbound

This paper cites Transformer- based nlos detection in uwb localization systems,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Transformer- based nlos detection in uwb localization systems,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.560162Z

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.

source=pdf_text observed=2026-08-06T20:15:05.091574Z digest=sha256:95b156930744aecd0e0d51b4c660480fea1ca8b4903b9615f55b33d524dd63da

Observation 67820c36-b2e9-4899-98b8-ebd72019a9ee · outbound

This paper cites Uwb nlos identifica- tion and mitigation based on bidirectional encoder representations from transformer (bert) deep learning,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Uwb nlos identifica- tion and mitigation based on bidirectional encoder representations from transformer (bert) deep learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.439382Z

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.

source=pdf_text observed=2026-08-06T20:15:05.172433Z digest=sha256:35ce4b8330215036baf915e232f5dd2e5e15125cc3b237ab228bd86d4840b7fd

Observation 1708367a-6e13-4198-b433-ef9e45c48bd2 · outbound

This paper cites A machine learning approach to ranging error mitigation for uwb localization,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A machine learning approach to ranging error mitigation for uwb localization,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.315937Z

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.

source=pdf_text observed=2026-08-06T20:15:05.253124Z digest=sha256:e3fc17e6cb2c7753f2f2388b2adf38b65470482aca43ba724c748d669d517592

Observation 23060cba-a5ba-40be-a5b4-bf8a4fcbcb84 · outbound

This paper cites A semi-supervised learning approach for ranging error mitigation based on uwb waveform,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies A semi-supervised learning approach for ranging error mitigation based on uwb waveform,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.221543Z

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.

source=pdf_text observed=2026-08-06T20:15:05.346955Z digest=sha256:b9c2f51dbcdf7396288b382e0c3d8a121c0a618b6322dd9dae3a9aee454720df

Observation 5e7dee8c-2f0d-4d11-8266-a0b072c95e19 · outbound

This paper cites Self-supervised deep location and ranging error correction for uwb localization,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Self-supervised deep location and ranging error correction for uwb localization,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:07.082607Z

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.

source=pdf_text observed=2026-08-06T20:15:05.410725Z digest=sha256:2e2dd7ca7df00117aba06cdd733f1ac709e55f10b30d35ae435907a4548a0ecc

Observation a5475fbe-94d1-4b4f-90a6-ef534355d4f1 · outbound

This paper cites Deep-learning-based wi-fi indoor positioning system using continuous csi of trajectories,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Deep-learning-based wi-fi indoor positioning system using continuous csi of trajectories,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:06.932286Z

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.

source=pdf_text observed=2026-08-06T20:15:05.492778Z digest=sha256:18b5424c9181e0447234b02d4ae3764b1cc7da2185f20e1fd1a601cb8b195d52

Observation 95c3b241-5636-428d-bd59-79a557960ec8 · outbound

This paper cites 5G Positioning Advancements with AI/ML.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies 5G Positioning Advancements with AI/ML

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:15:06.103074Z

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.

source=pdf_text observed=2026-08-06T20:15:05.581874Z digest=sha256:9631adc0c429d6f7e07a3eab455ba91930a75c6f3e1f6ed9ada6b5480fb5163f

Observation 51d3baf0-8c82-48e8-bb01-2c9aa4893c90 · outbound

This paper cites Available: https://idlab.ugent.be/resources/industrial-iot-lab.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Available: https://idlab.ugent.be/resources/industrial-iot-lab

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:06.776460Z

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.

source=pdf_text observed=2026-08-06T20:15:05.667561Z digest=sha256:ba480f1cf94a8a10a5a72052c0628a3f50aa7e877a0e90ad8be4b8e25228b4b3

Observation 3344dd8d-a4a8-42f6-a1da-638a4efca14d · outbound

This paper cites Wi-pos: A low-cost, open source uwb hardware platform with long range sub-ghz backbone,.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Wi-pos: A low-cost, open source uwb hardware platform with long range sub-ghz backbone,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:06.611802Z

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.

source=pdf_text observed=2026-08-06T20:15:05.739924Z digest=sha256:372c9fc3a949fa5c6d194b2651191aadbf384616e311e7b75b50619422120581

Observation 0a8e74e5-b903-4102-83ed-92db7389f3f1 · outbound

This paper cites Attention Is All You Need.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Attention Is All You Need

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:05.824275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:05.824275Z digest=sha256:9c280d48ec0fde92f33dcb8349b33c3f77a83d714b50d912e04cdcbb29b28fe0

Observation 0b313720-3422-4ed6-908d-d62e82c26669 · outbound

This paper cites Ltd., DW1000 User Manual Version 2.18.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies Ltd., DW1000 User Manual Version 2.18

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:15:06.412651Z

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.

source=pdf_text observed=2026-08-06T20:15:05.903532Z digest=sha256:a2ed82c5906318ea03d3dbb2ef538501813a42cac6212aa466f89079a1afe47d

Pith citing papers

Observation 1c4e846a-cab1-4ce4-a5ba-4abbf0d9e675 · inbound

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction cites this paper.

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T21:28:17.684348Z

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.

source=pdf_text observed=2026-07-11T21:22:25.336135Z digest=sha256:73e1908b943390b8e51f36de21624da370dc4df25652066125faca3175f52373