Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T18:10:23.298838Z
Paper Citation Record · LEDGER
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation
As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2606.08439.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
39 of 39 outbound references displayed
- verified exact7
- verified fuzzy0
- unresolved32
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f7315ed4-1357-446a-81b6-7d4b00052677 · outbound
This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a1c15e9-460e-4a17-a169-f65a1e1e2e9c · outbound
This paper cites 6G omni-scenario on-demand services provisioning: vision, technology and prospect(in chinese),.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation 6G omni-scenario on-demand services provisioning: vision, technology and prospect(in chinese),
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69534c5-fb61-4391-a84b-b5e9965c66fd · outbound
This paper cites Toward immersive communications in 6G,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Toward immersive communications in 6G,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de69bfca-b274-4cf1-b35b-e144fb276a24 · outbound
This paper cites Radio map-based 3d path planning for cellular- connected uav,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radio map-based 3d path planning for cellular- connected uav,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76fe59d2-6f3f-41df-8c40-98205e6b6be7 · outbound
This paper cites RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.219158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8bb84051-fb45-4ad4-824b-a9e82a59780a · outbound
This paper cites Analysis of mobile radio access network using the self-organizing map,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Analysis of mobile radio access network using the self-organizing map,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 702dcf98-4c50-4c64-b0ca-fd94cde43201 · outbound
This paper cites Toward environment-aware 6G communications via channel knowledge map,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Toward environment-aware 6G communications via channel knowledge map,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17718b77-26b5-4b70-b50c-9de4d73899a3 · outbound
This paper cites The sampling-assisted pathloss radio map prediction competition,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation The sampling-assisted pathloss radio map prediction competition,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86505408-c314-4c56-9ace-a715280a1c12 · outbound
This paper cites Rmapcs: Radio map construction from crowdsourced samples for indoor localization,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Rmapcs: Radio map construction from crowdsourced samples for indoor localization,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e40da48f-1320-4d1e-9b39-49e421586e17 · outbound
This paper cites RadioDiff: An effective generative diffusion model for sampling- free dynamic radio map construction,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RadioDiff: An effective generative diffusion model for sampling- free dynamic radio map construction,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa0dbb99-d9b4-4ee8-b894-2093e4ffa472 · outbound
This paper cites Freeloc: Calibration-free crowdsourced indoor localization,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Freeloc: Calibration-free crowdsourced indoor localization,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b218085-843b-4684-92dd-b9efe44e4f1d · outbound
This paper cites Location using los range estimation in nlos environments,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Location using los range estimation in nlos environments,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92b413c1-0c46-4503-948c-07a83775ab5c · outbound
This paper cites Mobile location estimator with nlos mitigation using kalman filtering,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Mobile location estimator with nlos mitigation using kalman filtering,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 850ed01d-6445-433a-bbaa-c56eb446605a · outbound
This paper cites Improving diffusion models for inverse problems using manifold constraints,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Improving diffusion models for inverse problems using manifold constraints,
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61ee6ea7-d43c-41ac-b2e9-a834526d037c · outbound
This paper cites Ray techniques in electromagnetics,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Ray techniques in electromagnetics,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e289414-5858-43ee-932c-ea4b82facecc · outbound
This paper cites Location errors in wireless embedded sensor networks: sources, models, and effects on applications,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Location errors in wireless embedded sensor networks: sources, models, and effects on applications,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb600454-9216-4245-9d3e-8a1868a5f2bb · outbound
This paper cites Kriging-based interference power constraint: Integrated design of the radio environment map and transmission power,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Kriging-based interference power constraint: Integrated design of the radio environment map and transmission power,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ac00251-8bbc-4520-9d87-23163b9b6bf9 · outbound
This paper cites Radiodiff-k2: Helmholtz equation informed generative diffusion model for multi-path aware radio map construction,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radiodiff-k2: Helmholtz equation informed generative diffusion model for multi-path aware radio map construction,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0e5ffbf-d59a-4a6d-b219-2fa4b2f6d107 · outbound
This paper cites Radiodiff-3d: A 3d× 3d radio map dataset and generative diffusion based benchmark for 6g environment-aware communication,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radiodiff-3d: A 3d× 3d radio map dataset and generative diffusion based benchmark for 6g environment-aware communication,
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1810f96a-b2d9-48bc-a243-6852ba8454c8 · outbound
This paper cites Theoretical analysis of the radio map estimation problem,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Theoretical analysis of the radio map estimation problem,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c47779bb-d304-45f0-b448-fc54812d0794 · outbound
This paper cites Parallel diffusion models of operator and image for blind inverse problems,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Parallel diffusion models of operator and image for blind inverse problems,
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ed25e5e-5ccf-4cd2-8a2f-4f23798a622c · outbound
This paper cites Radiodiff-flux: Efficient radio map construction via generative denoise diffusion model trajectory midpoint reuse,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radiodiff-flux: Efficient radio map construction via generative denoise diffusion model trajectory midpoint reuse,
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea7a3707-1d73-483c-867a-ffb6cba1ebf8 · outbound
This paper cites RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.224666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3f0d20bb-372b-46f7-acc8-45f7c2251324 · outbound
This paper cites The probability flow ode is provably fast,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation The probability flow ode is provably fast,
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 992ae70d-aad3-4b98-966b-a319b3f6e454 · outbound
This paper cites Denoising diffusion probabilistic models,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Denoising diffusion probabilistic models,
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e2ba8c1-e6ad-4d89-991b-e7d1f52b33fc · outbound
This paper cites Denoising diffusion implicit models,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Denoising diffusion implicit models,
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4fc309d-0810-4cb8-a4fa-62f56f52def3 · outbound
This paper cites A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:37:27.227326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1406192-b8cb-4572-9951-fb1580cf18af · outbound
This paper cites K-nearest neighbors gaussian process regression for urban radio map reconstruction,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation K-nearest neighbors gaussian process regression for urban radio map reconstruction,
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67c6bd8d-fdad-4f84-80af-681d21fb6820 · outbound
This paper cites Deeprem: Deep-learning- based radio environment map estimation from sparse measurements,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Deeprem: Deep-learning- based radio environment map estimation from sparse measurements,
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75679257-4918-4190-84cf-a33a7a5b445d · outbound
This paper cites RadioUNet: Fast radio map estimation with convolutional neural networks,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RadioUNet: Fast radio map estimation with convolutional neural networks,
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbb18ab8-4365-4923-8994-4505d23710d9 · outbound
This paper cites Tire-gan: Task- incentivized generative learning for radiomap estimation,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Tire-gan: Task- incentivized generative learning for radiomap estimation,
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5416ef1-a756-4af4-bdf9-db3a9a7df2b0 · outbound
This paper cites RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab9143f7-94a3-4c01-96a9-92da5429d8e2 · outbound
This paper cites Rmtransformer: Accurate radio map construction and coverage prediction,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Rmtransformer: Accurate radio map construction and coverage prediction,
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3d3231c-773b-413d-b2f6-f2ea8bbe4be7 · outbound
This paper cites MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.213643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ababf25c-fb20-4e9d-b984-a3d5e51ad59e · outbound
This paper cites RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.216524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d78a5e1f-2e82-4a8f-b8de-5433b30251c2 · outbound
This paper cites Radiogat: A joint model-based and data-driven framework for multi-band radiomap reconstruction via graph attention networks,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radiogat: A joint model-based and data-driven framework for multi-band radiomap reconstruction via graph attention networks,
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26a4bbd8-c269-4187-be43-d5090de13683 · outbound
This paper cites Physics-informed representation alignment for sparse radio-map reconstruction,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Physics-informed representation alignment for sparse radio-map reconstruction,
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T18:10:23.298838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fbe95be-e870-4673-a6e9-3f32128003e6 · outbound
This paper cites iRadioDiff: Physics-informed diffusion model for indoor radio map construction and localization,.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation iRadioDiff: Physics-informed diffusion model for indoor radio map construction and localization,
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.221892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 20a78d14-8688-48f3-9c0f-98dc5e8cadb0 · outbound
This paper cites Radioflow: Efficient radio map construction framework with flow matching.
RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation Radioflow: Efficient radio map construction framework with flow matching
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.210974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.