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Paper Citation Record · LEDGER

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2502.04318.

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

pith.paper-citation-record.v1
2502.04318 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:50:37.816747Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:18.455718Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:14:18.692359Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact6
  • verified fuzzy5
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1654ced8-845f-48ab-9847-5a6a32dbe63e · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:50:39.153143Z

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.

source=pdf_text observed=2026-08-08T22:50:37.734115Z digest=sha256:b233f58f7abee1cb40f766cb6c1935824d19e3960215b217433352ea4eff775b

Observation 3897ad08-1235-42cd-9f58-a144fc539843 · outbound

This paper cites doi: 10.1109/CVPR52729.2023.01263.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views doi: 10.1109/CVPR52729.2023.01263

Reference 6

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T22:50:38.881109Z

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.

source=pdf_text observed=2026-08-08T22:50:37.742263Z digest=sha256:e5f94b89d33ba836a7b66994df02a74f97334a20761db9501b4a426fad0a3f33

Observation d17b0f26-765a-42da-aec3-4e8084d5716d · outbound

This paper cites VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.753861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.753861Z digest=sha256:123ffc976368234379a34afd67f36ad5523d4f9f52fe1a7c41ffbeb8a037aad6

Observation 6b3b2715-34f5-4338-8596-62623811aaae · outbound

This paper cites VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.757792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.757792Z digest=sha256:c9998d88e2d3813a206c78147ed94c655af89c21a1e2ae46be52e28e94471376

Observation 537bf65f-b803-42cd-bee7-e8a2cf8b95d1 · outbound

This paper cites Accelerating 3d deep learning with pytorch3d.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Accelerating 3d deep learning with pytorch3d

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:50:39.141400Z

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.

source=pdf_text observed=2026-08-08T22:50:37.761830Z digest=sha256:77dc63656b3b08225093be27779c1611c9af21a18c2efee37c69019659d855c0

Observation 0eb66fd7-d3fe-47d2-98b0-653d2be93cd2 · outbound

This paper cites AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.769209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.769209Z digest=sha256:058a8e5ca7e43f471e0f90352cce7cd5e1b1789560bd7db44c602b337976dd5a

Observation 1b9c2055-d793-4f60-aacb-c73e3880e3e8 · outbound

This paper cites an unresolved cited work.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:50:39.129867Z

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.

source=pdf_text observed=2026-08-08T22:50:37.773297Z digest=sha256:33991e6650fbf0d4cb9224796fee0e823c34c71188f99ffc683fee3823524ec2

Observation 845e8c22-2ff9-4ec7-9387-b1ad671f95ff · outbound

This paper cites SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-08T22:50:38.357027Z

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.

source=pdf_text observed=2026-08-08T22:50:37.780787Z digest=sha256:1478222d05ce906d7586140e6dc9b8f2ab69827ffe277bc513f9f72a1e646b47

Observation 3bc28054-8cb4-4be5-9563-0dfe2699e528 · outbound

This paper cites DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.784145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.784145Z digest=sha256:9bf7608bfd02d9c96c51d38f0ff0ad7abbe257ca964443d4576de538de713326

Observation 4bdceeef-3908-4b4c-a00e-51b5cbea880b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views DINOv2: Learning Robust Visual Features without Supervision

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.787980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.787980Z digest=sha256:bf2fc87e770c9c13b55e7bc4bb2e797b6ee6206a215873bbb68a797b2a70b3e0

Observation ec85a32c-d3b6-4f91-bed1-e32a679176a8 · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:50:39.118897Z

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.

source=pdf_text observed=2026-08-08T22:50:37.791887Z digest=sha256:185305e106e4ca570be25e263d6077efd7b942f98abe8c9a2b8e1b52013e7921

Observation df878193-10ce-43f6-ba5a-77f182e4b09e · outbound

This paper cites doi: 10.1109/ICCV48922.2021.01072.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views doi: 10.1109/ICCV48922.2021.01072

Reference 20

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T22:50:38.318476Z

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.

source=pdf_text observed=2026-08-08T22:50:37.795693Z digest=sha256:7301e210acfcc20500a1b7c27ca42b7171c10837f3b73b3ec9d8efd72d829629

Observation f78c01bb-f953-4ee2-b375-3037093fba0a · outbound

This paper cites DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.799157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.799157Z digest=sha256:5213843edac056f274aa0d34b6fe83f5da08fcb601dca1cbac1c8bf9b04b22ea

Observation fd055a5c-1305-4368-84c7-8d600a7409d3 · outbound

This paper cites Gaussianobject: High-quality 3d object reconstruction from four views with gaussian splatting.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Gaussianobject: High-quality 3d object reconstruction from four views with gaussian splatting

Reference 23

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T22:50:38.141973Z

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.

source=pdf_text observed=2026-08-08T22:50:37.806202Z digest=sha256:def72a9a270382d2a70035ae0d89edb232e05382e0dc5adde568ee4eaefded07

Observation 9c1030ab-993a-4f49-9523-53f9c22fa2d5 · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.809649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.809649Z digest=sha256:f7bbe7b4bc70dcdb7c8cafc375ff228517071690908d103b07efa0f627b76771

Observation 73c710fc-0d37-4e37-a9e8-d241d9c35611 · outbound

This paper cites SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.813374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.813374Z digest=sha256:5be17214d15e66626a0af58d75c876ce8d8e372f07c1018e0b1a59c9f841c7fc

Observation 615c551e-346f-4d23-8890-dce999684385 · outbound

This paper cites A., Shechtman, E., and Wang, O.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views A., Shechtman, E., and Wang, O

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:50:39.095717Z

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.

source=pdf_text observed=2026-08-08T22:50:37.816747Z digest=sha256:f7e57b347726908e604761fee0c7f40a12bffc22366bf32d159b07623518d1e4

Observation 03c05cfc-a5c8-447c-832d-6ae9e9ba6f16 · outbound

This paper cites an unresolved cited work.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Unresolved cited work

Reference 2004

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:50:39.108025Z

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.

source=pdf_text observed=2026-08-08T22:50:37.802709Z digest=sha256:63cf55eb9babcc364cd93064906f5484a7ca16d7dd67510839f46b4c71ec10cd

Observation 03b3bdc5-7cf5-4dd3-8cc2-0c0dea4765c8 · outbound

This paper cites 2019.00939.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views 2019.00939

Reference 2019

Resolution
malformed identifier
arxiv_id_nonexistent, observed 2026-08-08T22:50:39.084609Z

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.

source=pdf_text observed=2026-08-08T22:50:37.726022Z digest=sha256:2d5f0f03a5af090e4bcfa2f3fdec68defcce97f58bfb2b35cc2428a3a8445dab

Observation b029001c-dcf7-4125-ac2e-b271c69c4d39 · outbound

This paper cites ISBN 9781450381123.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views ISBN 9781450381123

Reference 2020

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T22:50:38.530902Z

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.

source=pdf_text observed=2026-08-08T22:50:37.765690Z digest=sha256:7bbf9f2522e215b0c9fde2d8bc3ced5b214e17556574e44fea5365cf32437bb0

Observation f3c27df3-bd76-409a-b956-6bc10902540b · outbound

This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.729882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.729882Z digest=sha256:6e3e147b97dfa20731339dd83d87e0d9284d0a98dbeb8743b415f82fc78ce07c

Observation 5950d24a-0369-4fa9-a6b4-1b820bb00608 · outbound

This paper cites Guo, J., Deng, N., Li, X., Bai, Y ., Shi, B., Wang, C., Ding, C., Wang, D., and Li, Y.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Guo, J., Deng, N., Li, X., Bai, Y ., Shi, B., Wang, C., Ding, C., Wang, D., and Li, Y

Reference 2022

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T22:50:38.703170Z

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.

source=pdf_text observed=2026-08-08T22:50:37.749994Z digest=sha256:a47034a57f50de9c42fedd78ba5cca0f95f05202feed0b1c7d7c3049ca877cec

Observation 668f15ad-f183-4528-878a-5cc63c4ac7a5 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:50:39.163706Z

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.

source=pdf_text observed=2026-08-08T22:50:37.721715Z digest=sha256:64ee88041e16b88352e80a9b9823a14c079b42b3a6269fd513ded3a08af194c2

Observation 03fb63b5-3d22-485d-b551-90d671e39c2a · outbound

This paper cites 6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views 6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.745961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.745961Z digest=sha256:ce2c13be9d403ff84e8aaddc34be383974ace683de52ae271926b66a2dcb0ac9

Observation cfafdd9e-cc28-418c-9a34-6fe78406e3a1 · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views OmniRe: Omni Urban Scene Reconstruction

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T22:50:37.737985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:50:37.737985Z digest=sha256:e1718e608f09f5c8fe4173bbf57aa6093d550ef36386ec744ee3f4e3390fbba0

Pith citing papers

Observation de92f26d-dadb-4851-808e-f40da4265433 · inbound

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges cites this paper.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views

Reference 177

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:18.696800Z

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.

source=pdf_text observed=2026-08-06T15:14:18.455718Z digest=sha256:5dffb4f80116ce23e64248b96ee26542e4d7e27329fa15304a56d562b712814e