Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T20:25:17.667260Z
Paper Citation Record · LEDGER
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
As of 17 July 2026, this Paper Citation Record lists 15 of 15 outbound references and 9 inbound Pith citation observations for arXiv:2604.03039.
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 2026-07-17T06:31:00.352745+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T18:18:26.276827Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T12:15:01.137692Z
Reference resolution
15 of 15 outbound references displayed
- verified exact4
- verified fuzzy11
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5b978d74-3b56-43e1-8e1c-ee0f544752ab · outbound
This paper cites Gc-gs: Gradient control gaussian splatting with various image degradation.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Gc-gs: Gradient control gaussian splatting with various image degradation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.935880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation a09013cf-fa6d-4691-879e-7fe5220c3ec4 · outbound
This paper cites Revitalizing convolutional network for image restoration.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Revitalizing convolutional network for image restoration
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.926574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 0c30237f-3d35-4ef2-b4f8-70c419b5d31a · outbound
This paper cites Luminance-gs: Adapting 3d gaussian splatting to chal- lenging lighting conditions with view-adaptive curve adjustment.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Luminance-gs: Adapting 3d gaussian splatting to chal- lenging lighting conditions with view-adaptive curve adjustment
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.982347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 20b907ba-5204-4944-837a-c4fc576f5997 · outbound
This paper cites Faster-gs: Analyzing and improv- ing gaussian splatting optimization.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Faster-gs: Analyzing and improv- ing gaussian splatting optimization
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:28:14.040114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 86ffcb9d-8819-48e2-9cb7-d2302951de93 · outbound
This paper cites Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.988056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation ff764d41-1a18-4e2a-b332-c4a89e2b1385 · outbound
This paper cites Sr- splat: Feed-forward super-resolution gaussian splatting from sparse multi-view images.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Sr- splat: Feed-forward super-resolution gaussian splatting from sparse multi-view images
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.966425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d4ab1592-b330-41f4-9738-471d0ad134aa · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model 3d gaussian splatting for real-time radiance field rendering.ACM Trans
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.919303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c0609879-4291-479a-b0ac-d5f330a367be · outbound
This paper cites 3d gaussian splat- ting as markov chain monte carlo.Advances in Neural Infor- mation Processing Systems, 37:80965–80986.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model 3d gaussian splat- ting as markov chain monte carlo.Advances in Neural Infor- mation Processing Systems, 37:80965–80986
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:39.003788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 21a6fab6-c431-457a-9761-1aab1c72e92a · outbound
This paper cites Seathru- nerf: Neural radiance fields in scattering media.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Seathru- nerf: Neural radiance fields in scattering media
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.930167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 004b23d9-eca7-47c5-b7ca-54c421b96428 · outbound
This paper cites Realx3d: A physically-degraded 3d benchmark for multi-view visual restoration and recon- struction.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Realx3d: A physically-degraded 3d benchmark for multi-view visual restoration and recon- struction
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:28:14.034411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 1febe554-352f-42d8-bbe8-305c80f697c4 · outbound
This paper cites I2-nerf: Learning neural radiance fields un- der physically-grounded media interactions.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model I2-nerf: Learning neural radiance fields un- der physically-grounded media interactions
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:28:14.037517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation aa828a20-6452-421b-bb46-227cf2e8ab3d · outbound
This paper cites OpenAI: GPT-Image-1.5.https://openai.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model OpenAI: GPT-Image-1.5.https://openai
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.939241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 06800075-80a6-44a3-91b8-c69308949b2e · outbound
This paper cites Seasplat: Representing underwater scenes with 3d gaussian splatting and a physically grounded image formation model.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Seasplat: Representing underwater scenes with 3d gaussian splatting and a physically grounded image formation model
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.998928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 861045b8-807c-416f-bbb6-dcda77ccbcd8 · outbound
This paper cites Lita-gs: Illumination- agnostic novel view synthesis via reference-free 3d gaus- sian splatting and physical priors.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Lita-gs: Illumination- agnostic novel view synthesis via reference-free 3d gaus- sian splatting and physical priors
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T01:43:38.915276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 1edaabd4-013c-4cd5-a1bd-12a88d4582c2 · outbound
This paper cites Udpnet: Unleashing depth-based priors for robust image de- hazing.
GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model Udpnet: Unleashing depth-based priors for robust image de- hazing
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:28:14.031674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Pith citing papers
Observation efa16575-b1c9-4124-89a9-3fb25efb25ed · inbound
NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results cites this paper.
NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T17:08:01.830210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 298856d2-cf49-4430-af2b-293f2dcc9baf · inbound
SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration cites this paper.
SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:00:56.085436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 86fc9cbc-e64f-42e5-be1f-f145b34cac51 · inbound
CLIP-Guided Data Augmentation for Night-Time Image Dehazing cites this paper.
CLIP-Guided Data Augmentation for Night-Time Image Dehazing GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:25:49.817444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation fc5b4039-fa5c-4962-829a-93c3fb2e1b47 · inbound
3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models cites this paper.
3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T22:35:49.039181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 926d3fad-9934-424f-956a-09f6640e6165 · inbound
Dual-Branch Remote Sensing Infrared Image Super-Resolution cites this paper.
Dual-Branch Remote Sensing Infrared Image Super-Resolution GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:31:03.726523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7ae345e1-b528-4040-827b-49507b68e503 · inbound
Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising cites this paper.
Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:21:01.267206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 241d3c47-98aa-4de1-8d76-f0c39b0562de · inbound
Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation cites this paper.
Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:01.967462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 857a2b6e-f7c7-432c-98ee-3fa72d884b5d · inbound
Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis cites this paper.
Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T13:30:26.434780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 5e0c8373-acf0-4961-b467-fdb18948d850 · inbound
DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction cites this paper.
DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:23:50.260155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.