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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.734115Z digest=sha256:4a8678eba75a613ce564546e3b7aa9256aef59e7b8646a03233dfd3ddc3fa87f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.742263Z digest=sha256:bcdbc070b66752234a17a7f9c64f7885712e25c1f97a1dc463f7f57a73a41588

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=sha256:30b6bd83f8e78eb021b054f130c44fdfa13e9d5e31df6423cefa3e0e1e4b077d

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=sha256:886c888d9d6cc113dc35adb509ab64d1bc2761ae7cb171f76c9bebf23e0467d4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.761830Z digest=sha256:fdf09621ccbf42ac74e0f4b37c76805cd1395fe3852acb80e22bb1dea479f7b8

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=sha256:09a7aea00b0273a3c2e95518fa302948a4c6c8e8f4097c48cb7e32c46c876a9f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.773297Z digest=sha256:d05654f6d4780a3119a36b8a9323d85f95efec507762d90dc323c37c89de48c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.780787Z digest=sha256:7d13c8f2ca8402d845e5c1cbf9c56d311a4e729b2720726e5f81356ba6c6da62

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=sha256:62ba929318c55707eed3f57d8a3a2107fdb2388cf5ef246dffba3690e0324979

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=sha256:097a8b1a6540f56a9b5b0ff8029c85f3b97c259fcc9aa8f6046e80d1e50b11d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.791887Z digest=sha256:4da12adb7fd65734c8e2471268b0dcb8798d09a5833cdac4b220261d5610e8f5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.795693Z digest=sha256:50f81bbf60ac96453a1998c8212ed24d9965728d90a002dd426fd6bc60e4fbb6

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:cf0fe6768a2fba2e8beb86a8689d28f9b8e1ef48d07fdf0c10612b167aea8a68

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.806202Z digest=sha256:aff2e0b69b7b1a3c620cd0cfa2e9e1542e2af53c22a407d6d099db4b8ba24892

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:fb8e3318147136368cb0d130a65456b88eca74a2ab54e35bce30c0ba9f9c98be

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:ffbb94f8616ecb64a67915223a9129773cda744f9b522c50437afe9c48674f5c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.816747Z digest=sha256:177f88167cce50999aad01f23283b62fee1e6750f2476be66f2412c087d41a35

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.802709Z digest=sha256:49d8d9c86deab6cbef25191e0f6ac71e307322c2ec9862a00f4a50f3c0c14b27

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.726022Z digest=sha256:ab8c901dff9a437c9f96ce2fca974cc98111ea6be2e6f1fec573425b4417ad6a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.765690Z digest=sha256:b29bf8dbdf08d23ea29b2b2e9b55c5d1e35d391321d197f8501046cf756c8e82

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=sha256:86a40be9900cd213c2c5b72bf09cd4ee20176e0785736b19df473fafd62b4e64

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.749994Z digest=sha256:604887676ae5b357a3d23276756b1beca10b8cad807d642a3fae65729eb342d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:50:37.721715Z digest=sha256:3f728f6f7c6d076e7de891435d050121d06484debf47b25d5290c159f427dd03

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=sha256:122bddf35daae978416f8f6ca9e7c545084132dd61e894f80843f51e6024b9de

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=sha256:88d5f906509aa5e6c45e46813a1ce4b765cb4b6965f45a0ce864efe2628e0a48

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:14:18.455718Z digest=sha256:fed5d9eac7bb000a0a60c0fe4a406dbfaabd32b22372f665df5a51816ec94b30