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Paper Citation Record · LEDGER

Dataset of Pathloss and ToA Radio Maps With Localization Application

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2212.11777.

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

pith.paper-citation-record.v1
2212.11777 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:13:10.383679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:43:51.215427Z

Reference resolution

0 of 0 outbound references displayed

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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 40d599fe-0ccd-40fd-b2f8-582ecdb811ea · inbound

Radio Map Estimation via Latent Domain Plug-and-Play Denoising cites this paper.

Radio Map Estimation via Latent Domain Plug-and-Play Denoising Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T16:13:10.383679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:10.383679Z digest=sha256:d61b9b6e7f6be688d096baa239526bc4bf2f369ba910f1d5ca346fc2841ce04b

Observation 23b3c54b-19dd-48ba-a318-a9294dfa3c11 · inbound

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks cites this paper.

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:52.722397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:52.722397Z digest=sha256:dc7f8d70914119fd22995a6b924915c26ddb8400892c5496a402480d774ac742

Observation 89d61911-8ba3-4cd8-bafd-83cf2939012b · inbound

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation cites this paper.

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:05:48.449121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:21:37.931602Z digest=sha256:d7be8b94386b8493fd5f7d5a2aea7014fc9bab99184b50cb4c6b1d83204e5221

Observation 81a28519-41a0-4495-9031-ad9e1dd1848f · inbound

Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches cites this paper.

Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:14.785889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T22:10:25.554393Z digest=sha256:b8db4b9b53d78839fa6474bb69a26cfa9a5e47a836e59ccbf19a8e60309ade76

Observation d77a6851-d4d0-4cce-8bcc-052d13f5b62b · inbound

TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction cites this paper.

TGPP: Trajectory-Guided Plug-and-Play Priors for Sparse Radio Map Reconstruction Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:01:13.084958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T07:19:16.692263Z digest=sha256:30312fa0ae21e6aebbc4badce582c353688eb698c7513be6c08043f95f68c2a6

Observation c8d793cc-7116-46ce-94c5-4016803c0fb5 · inbound

R$^{2}$Net: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation cites this paper.

R$^{2}$Net: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:57:54.294861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T00:54:02.289491Z digest=sha256:aca59718c256291fcf60a64c2bbf456c9f8e2a1549f2b9d39380b3d47bdee6bd

Observation 20dbe12c-86ed-4eea-860a-0df8e1812373 · inbound

Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDF cites this paper.

Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDF Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:43:51.216757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:03:14.150335Z digest=sha256:615351f709bcf197c2da7f88187617929deded6b4b3b18ecedcf36068a331c5f

Observation 650872f0-ba9c-4aaa-b749-46d5622a30bb · inbound

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning cites this paper.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T20:59:33.925541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:59:33.925541Z digest=sha256:e908bec9d586059421e5cb21fa7408cfd8e2c29c7303aec98b74d7b4f72c0aa5