Paper Citation Record · LEDGER

Dataset of Pathloss and ToA Radio Maps With Localization Application

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:48.967856Z

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

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 44c5584d-5bde-492e-b830-da1cf9784264 · inbound

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning cites this paper.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.445993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

Observation 3ad0c1e7-3b7d-44cc-82b1-783f2eb105e3 · inbound

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors cites this paper.

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:48.967856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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.

Observation 88ae2d62-af57-4d49-b4f2-665cdee5a254 · inbound

GLocFM: A Geometry-Aware Foundation Model for 3D Indoor Wireless Localization cites this paper.

GLocFM: A Geometry-Aware Foundation Model for 3D Indoor Wireless Localization Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:39.521239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.