Pith. sign in

Paper Citation Record · LEDGER

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography

As of 12 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 2 inbound Pith citation observations for arXiv:2505.15235.

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

pith.paper-citation-record.v1
2505.15235 v2

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:41.751480Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:36.604382Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:44:40.186714Z

Reference resolution

78 of 78 outbound references displayed

  • verified exact0
  • verified fuzzy49
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ea55958-117e-4eeb-88fe-a822b2b30609 · outbound

This paper cites Simultaneous algebraic reconstruction technique (sart): a superior implementation of the art algorithm.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Simultaneous algebraic reconstruction technique (sart): a superior implementation of the art algorithm

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.817634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:34.943135Z digest=sha256:56b3ea2890d59736a13e0a64e420bd00b115d818971bccc224817dfffe561655

Observation ff95dae0-ab29-4d54-9f62-12ba1a3554ab · outbound

This paper cites Lose the views: Limited angle ct reconstruction via implicit sinogram completion.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Lose the views: Limited angle ct reconstruction via implicit sinogram completion

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.714566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.031896Z digest=sha256:9cdfa1e6f51de2bf4389c55a3018e2c6f3b6887345e18c9f6b304918409e5eb6

Observation 7df2eba5-f733-4807-84ab-50c496917b55 · outbound

This paper cites Tigre: a matlab-gpu toolbox for cbct image reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Tigre: a matlab-gpu toolbox for cbct image reconstruction

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.623367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.154319Z digest=sha256:204081fa8d907b805b4ec0cc43dc3947f7a48442eb3924492020936afd139f8b

Observation da839277-28b9-4650-94c9-18249e64a890 · outbound

This paper cites Segmenting the inferior alveolar canal in cbcts volumes: the toothfairy challenge.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Segmenting the inferior alveolar canal in cbcts volumes: the toothfairy challenge

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.538769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.270834Z digest=sha256:8f7f25f906f936143a980fcfaf3776700fe07dceeb9d8a399a5d8215142dac06

Observation 330a80cd-2748-4fb2-8f6e-4cf262120058 · outbound

This paper cites Radiative gaussian splatting for efficient x-ray novel view synthesis.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Radiative gaussian splatting for efficient x-ray novel view synthesis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.433430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.402003Z digest=sha256:51c3e333db925fada170586210740936a695fe73ba0105f127d212f9ad613da4

Observation 052a8dd6-2dae-425d-b8ea-9c821dd0aff6 · outbound

This paper cites Structure-aware sparse-view x-ray 3d reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Structure-aware sparse-view x-ray 3d reconstruction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.345385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.515261Z digest=sha256:b4c5e4cff62778057f695f15141c7b6fbd849b9298402e1cf5d15a01b84788e5

Observation 28ad8052-8c17-4941-8454-a0aa49d4f01b · outbound

This paper cites Baking gaussian splatting into diffusion denoiser for fast and scalable single-stage image-to-3d generation.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Baking gaussian splatting into diffusion denoiser for fast and scalable single-stage image-to-3d generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:35.621698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:35.621698Z digest=sha256:7f3b43144b578e2f38ea3e39668ced386de185dba5472ed55eb4daa901c7bd18

Observation e170064a-772f-40ad-aff7-ccff985831a1 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.269391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:35.730118Z digest=sha256:fbdc66102fa3e6e4a7d5617a3f6d9a7771916a181b7e712515026ebd714178f2

Observation db44927f-aca6-4985-96f4-373f3242cbee · outbound

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

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:35.868166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:35.868166Z digest=sha256:5ec754fd067eca66ed88e6abacb69fb05b0669c11e90930214c891ae526af45b

Observation e2a48778-8012-4d21-90eb-5151b121dfa3 · outbound

This paper cites Decomposed diffusion sampler for accelerating large-scale inverse problems.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Decomposed diffusion sampler for accelerating large-scale inverse problems

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.143906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.016519Z digest=sha256:5c0d7ebe9590797e0580f34595b924cc86c3f8b46412a42d262069ad6b41158e

Observation b4f2361c-0d9c-4962-b25c-220884df8d7b · outbound

This paper cites Solving 3d inverse problems using pre-trained 2d diffusion models.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Solving 3d inverse problems using pre-trained 2d diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.050964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.154315Z digest=sha256:dd3c40fec76f3814679a3115b679b3f8c40fb21a13c52eb62623d16be423315d

Observation d491a1b0-cfc4-4f6d-ba41-8896d5785d2e · outbound

This paper cites Representation of a function by its line integrals, with some radiological applications.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Representation of a function by its line integrals, with some radiological applications

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.939304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.248159Z digest=sha256:e887521ba594273a0819815605ef6a763cbc35e51f769440ad4a179b65e080ce

Observation 88827dfc-ac86-47ce-a48e-7ebebce1633f · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Objaverse-xl: A universe of 10m+ 3d objects

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.835573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.365257Z digest=sha256:8ffe6714609640878d30d8bc7b2f222c996e927a86f665ea90de457cd3b9a2ca

Observation 94fe2de3-bb8e-451e-95bd-e7411cbad72c · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Objaverse: A universe of annotated 3d objects

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:36.478484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:36.478484Z digest=sha256:24a34b42fa4bdac66c20221c4e12aca3b8cc3f1dacf2d66a6dc1ad193333b685

Observation 7dca5eab-db1b-4429-a7c5-f9fc45c13178 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography An image is worth 16x16 words: Transformers for image recognition at scale

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:36.594019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:36.594019Z digest=sha256:bf63bc246f30db6810003a2dc0b8c6fde51f59952ba1fa28a364d41c6869dbd2

Observation dd3b027a-ba16-49fc-bd35-789303323146 · outbound

This paper cites Practical cone-beam algorithm.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Practical cone-beam algorithm

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.722499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.728136Z digest=sha256:f5ccc9f8fbce4f3fd15321a3a697b0a87e6a17694bce1cba12f0f681eef1bafc

Observation 206dddb7-d383-4b54-918c-ca0434f902a8 · outbound

This paper cites Ddgs-ct: Direction-disentangled gaussian splatting for realistic volume rendering.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Ddgs-ct: Direction-disentangled gaussian splatting for realistic volume rendering

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.609897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.806310Z digest=sha256:2d72f1613d21880f62baac8e8d43be25d106fa995f868aa7504b5d514f74ff00

Observation b231a2d4-2d28-40fd-8ac7-2d654987a989 · outbound

This paper cites Deep learning-based sinogram completion for low-dose ct.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deep learning-based sinogram completion for low-dose ct

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.492521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:36.913995Z digest=sha256:d4d6c6f77a8f6678afaf4c5f7aae8025d3b76205e6503459c0d16c5e8b15f8eb

Observation cccf11fc-59fb-40a5-b8d9-c94c4f6a2e32 · outbound

This paper cites LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:37.002841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:37.002841Z digest=sha256:14ab5ed15c19b398c4623ceeea9a19a3227328ac6252a982afab3ffa6614f500

Observation 9d8f28b3-939a-49ec-be03-23eb3ecf1e66 · outbound

This paper cites Rsna 2023 abdominal trauma ai challenge: Review and outcomes.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Rsna 2023 abdominal trauma ai challenge: Review and outcomes

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.408002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.099896Z digest=sha256:9902c728dd7cca5e9e872689846bef0cb39fba3987a2f2abc967288e68de4aa2

Observation 2ae21b84-9a77-454c-83f3-3efc39c0bf14 · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Lrm: Large reconstruction model for single image to 3d

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.306716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.180746Z digest=sha256:97a7054253123595c85872366fe53e7557680647e01b6eb01e66860a2f0cf50a

Observation 65cd53cb-88e9-4254-be77-8aefb7696df3 · outbound

This paper cites Computerized transverse axial scanning (tomography): Part 1.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Computerized transverse axial scanning (tomography): Part 1

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.191743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.307571Z digest=sha256:2179d9e63041e69daad5b4b8e078fec5db91e8dbf1b67f3d41511a28bc42b04c

Observation f6717c79-32b4-4de5-bce1-31a2c6d65838 · outbound

This paper cites Computed medical imaging.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Computed medical imaging

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:48.066099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.461732Z digest=sha256:b6dd1fb7f96b681a9a0e76f23c45b24811325a419028abed37a40c8ac3865227

Observation c64da623-f5df-446e-9fff-ef58e4028592 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.975247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.552674Z digest=sha256:d45e58dde232777107987062d1ac012489f3514e9ac697fcb33f6e0e19132146

Observation b85857ab-ce0d-4203-b97b-9f0d023d74a0 · outbound

This paper cites Deep convolutional neural network for inverse problems in imaging.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deep convolutional neural network for inverse problems in imaging

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.861381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.651616Z digest=sha256:30a22df72a7372d365d3c9d6b6468bf477840523a03c28c26e10d16c099bec99

Observation 40b7b733-b51e-47ad-829d-3c964b534187 · outbound

This paper cites Deep convolutional neural network for inverse problems in imaging.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deep convolutional neural network for inverse problems in imaging

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.728942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.747463Z digest=sha256:5be2db8c2f3832324fe107a512f3d7b72cfcc47efd574f80e83419dc8dc63e2e

Observation 2d1ef33c-5a2d-4ee0-addc-d1f4a47e074c · outbound

This paper cites Deep-learning-assisted detection and segmentation of rib fractures from ct scans: Development and validation of fracnet.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deep-learning-assisted detection and segmentation of rib fractures from ct scans: Development and validation of fracnet

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.627112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:37.856437Z digest=sha256:315b71f55406e53eb382e9e926a46c34b5dcb4846ebabbbcb370dcf304d8de5f

Observation d4c51fa4-70a5-4fb0-b748-8d9e99cf87d1 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography 3d gaussian splatting for real-time radiance field rendering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:37.938890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:37.938890Z digest=sha256:3a2bcf7e4a010b2d44e046b261d419f2c25f295086c78a6910a5ef460c10b9e7

Observation 2230f70c-c89d-474e-967d-7f42877f86d2 · outbound

This paper cites Improving 3d imaging with pre-trained perpendicular 2d diffusion models.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Improving 3d imaging with pre-trained perpendicular 2d diffusion models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.471165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.040801Z digest=sha256:3585469530ef8965c869d94521e7329697a3f467b49bf0be9e64224c955a503e

Observation 6f5a753b-910a-4cd1-bd2d-515360788d5d · outbound

This paper cites Grounding image matching in 3d with mast3r.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Grounding image matching in 3d with mast3r

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:38.118716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:38.118716Z digest=sha256:a98b0482cb71897be9ef756bbde5f8660c8ea29948127537a55131ba429ad1c5

Observation 7b86b6a3-ca1c-411b-802b-8125ea2b33a2 · outbound

This paper cites Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.364049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.248151Z digest=sha256:6cf5edafc8f97e504b41783bba2a86f92a63cbf27eb5f907d75c6cf1a0109b45

Observation 28e44523-677d-4d9d-8116-850ee22baebe · outbound

This paper cites Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.273387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.325701Z digest=sha256:61fe8b6edc1b1144fc971e99dd19ccbaddaa63fe8d2853ef9208c8430b187273

Observation 7e691fe1-3238-437a-aa40-81d406c54f69 · outbound

This paper cites 3dgr-ct: Sparse-view ct reconstruction with a 3d gaussian representation.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography 3dgr-ct: Sparse-view ct reconstruction with a 3d gaussian representation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.151385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.410088Z digest=sha256:018520962db94f7754873b12813431c6b3e9a191b55ce7a8d56c427e6dec9622

Observation c31356df-ad3f-4151-94dc-9cf57a10f0d6 · outbound

This paper cites Learning deep intensity field for extremely sparse-view cbct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Learning deep intensity field for extremely sparse-view cbct reconstruction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:47.034521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.493670Z digest=sha256:80d2841cb428bc7859e99a422c60c79e6f88a6ddc2ec0641dec3c8fd0493f339

Observation fee2a0de-80f9-49a2-ad6e-608f8a2b82b6 · outbound

This paper cites Learning 3d gaussians for extremely sparse-view cone-beam ct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Learning 3d gaussians for extremely sparse-view cone-beam ct reconstruction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.898138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.586768Z digest=sha256:89c25651f410c512ae686a3ccd651d3ee708529450e752e59bd2b1a6bba6b7bb

Observation 0aef4e0e-cdc0-4630-8c71-647652ff4f9f · outbound

This paper cites Deepsparse: A foundation model for sparse-view cbct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deepsparse: A foundation model for sparse-view cbct reconstruction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:38.689479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:38.689479Z digest=sha256:8d54eb6e4569593d195a0685de94f8b4868a0a51c81f723fe898c56b8dcde879

Observation b92f3742-0b7f-4c7c-a673-e9fbcba98986 · outbound

This paper cites Cˆ 2rv: Cross- regional and cross-view learning for sparse-view cbct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Cˆ 2rv: Cross- regional and cross-view learning for sparse-view cbct reconstruction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.774348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.768463Z digest=sha256:90787c06343124c81d93df4e7e58f33a9c33141f1d5f080783ba861eb1b86849

Observation 6dfe96fc-3342-48c8-8659-c36e3eb9c736 · outbound

This paper cites Zero- 1-to-3: Zero-shot one image to 3d object.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Zero- 1-to-3: Zero-shot one image to 3d object

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.638880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.832064Z digest=sha256:22bb2f37f7310031ef1425ae5baef7d1db4cbfb02276470105c68bdebdb17c7b

Observation 7c869523-544d-4ef1-966e-6f4b6f90dba8 · outbound

This paper cites Pelvic fracture segmentation using a multi-scale distance-weighted neural network.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Pelvic fracture segmentation using a multi-scale distance-weighted neural network

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.512645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:38.887808Z digest=sha256:8553f7c670ce9010420470978b0369fda0e3e58faeb2fc628d3982dc6f3c1886

Observation 97c9893e-2e58-484d-98dc-2e8e7175a60b · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:38.985201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:38.985201Z digest=sha256:9ca6dfc86df7cf5712160bafe3475a2d1dc0ee5ab4e65fbff1a0c64bf23a6efc

Observation c5326275-7127-4c86-89d7-a82a890a222e · outbound

This paper cites Decoupled Weight Decay Regularization.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Decoupled Weight Decay Regularization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.075073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.075073Z digest=sha256:f29c979890a11d8ce5c592791cf4b9845e1cdee9467d790e06ef038c617e2545

Observation d5b83de6-0864-4169-8efa-f65cdcf2e198 · outbound

This paper cites Freeseed: Frequency-band- aware and self-guided network for sparse-view ct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Freeseed: Frequency-band- aware and self-guided network for sparse-view ct reconstruction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.379520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.137683Z digest=sha256:fd2c9749ee4913a47544e7dd88f09851a0ddea8f787342166b58fe0b2e22a1b4

Observation c14f3b39-fa92-4256-baa0-89d114a07ba2 · outbound

This paper cites A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:46.176425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.241170Z digest=sha256:72a1ac93fdecf5c73a5eb5647f2357841b41f43cd94963321c5f244e15cd631d

Observation 55832855-7d1f-4d86-a354-cb0d2c78439b · outbound

This paper cites Mediastinal lesion analysis (mela) dataset, 2022.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Mediastinal lesion analysis (mela) dataset, 2022

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:45.915265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.311409Z digest=sha256:6590837d5831c13b53de1bd5668cf03686a802e4371804398be3ae45591234df

Observation 5b6d7c8d-3498-4f51-a13a-7acdb64f7f6c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Pytorch: An imperative style, high-performance deep learning library

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.377820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.377820Z digest=sha256:c95b45d93582740e4755d2e1bfa24f804be24e614b63ffcb2007376ecdc9575b

Observation be409a5c-d477-4216-a5ad-38954850725b · outbound

This paper cites Scalable diffusion models with transformers.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Scalable diffusion models with transformers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.440405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.440405Z digest=sha256:6d176f238a85d7cdb826e290b9c38ec854df437175438ee64261be3ad7e7e118

Observation dc16c3cb-267c-4b92-b10c-160ae667d372 · outbound

This paper cites A local update strategy for iterative reconstruction from projections.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography A local update strategy for iterative reconstruction from projections

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:45.628732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.497712Z digest=sha256:6d8a47f382f36fe2d6e05877ce3017af62cdd691008334ee4cf1019b07e5c4e3

Observation f8dd2c92-7135-421f-82f9-621c0f86b54f · outbound

This paper cites Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:45.419932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.560485Z digest=sha256:6cdce84c75e10e7f7f0347252972c74612dd522e7243e7e1fff5130a2febd31a

Observation f2786b71-7722-4e2e-a0f9-b6ab1d736533 · outbound

This paper cites Nerp: implicit neural representation learning with prior embedding for sparsely sampled image reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Nerp: implicit neural representation learning with prior embedding for sparsely sampled image reconstruction

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:45.217013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.654085Z digest=sha256:c60a9aeff1589286ed7bdfd90890ddf17ea999eed979ca97c59837881086c42a

Observation 608fc661-5131-4ccf-bf0b-3d8e4bbdfebd · outbound

This paper cites Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:45.023721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:39.780367Z digest=sha256:0e1d5ead9057b55b2a542abb000f6d5b8a9d5e62c528bb5a746df131980f5dc7

Observation 9ab2546b-e14f-4995-ba08-0b34c6c1a1bc · outbound

This paper cites HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.834868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.834868Z digest=sha256:2f22058a1b3ad48390edd81f66cd67986cfcaf19aa22c8b66f9074fbb3c7b86d

Observation e7f6eb4e-d299-4954-acaa-1f2095f789ac · outbound

This paper cites MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.899237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.899237Z digest=sha256:7fa13bf5b1efe5b87f847e3165de9d1da72e1bc1352c2633d983734e9c100764

Observation 31b51c43-0973-4a30-a8b2-d1bdb0a51a71 · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.953196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.953196Z digest=sha256:93184eaef9ec9a60a7581d1177bcea5e233c61901687a7ca07e02d05bf7835c6

Observation 0b56feff-9138-40f1-af80-2645940b04cd · outbound

This paper cites Attention is all you need.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Attention is all you need

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.019484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.019484Z digest=sha256:6e8ae72fb3867ec30e7724de4b08f4dfa27fdcc97dbfc38ee11527792ff51000

Observation 51fd997c-41c4-4aab-83fd-8ab60edc29a1 · outbound

This paper cites A non-exponential transmittance model for volumetric scene representations.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography A non-exponential transmittance model for volumetric scene representations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:44.845674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:40.066314Z digest=sha256:9cf79ef3b27f6c236a2d54751df797ebc2d10b04ae72da46fcbdfbbf793d3fdc

Observation 1a3f8a3d-d77b-4a32-bba8-a0d781ffcd7b · outbound

This paper cites Dudotrans: dual-domain transformer for sparse-view ct reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Dudotrans: dual-domain transformer for sparse-view ct reconstruction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:44.665192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:40.177206Z digest=sha256:1e120e71aaa2fed5fc54f84d17bbf7b51f362db501359835af8cccb3d45f394d

Observation 87632817-7ec7-4ba2-8be0-8952f64d600e · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography VGGT: Visual Geometry Grounded Transformer

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.237122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.237122Z digest=sha256:4b1ccbc6bc8965b0e9d151918dc671c59ad802ba8cbf91211f99e3f2c0f328ac

Observation 880e680c-a7d9-4400-8bdb-6203571f5d83 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.295357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.295357Z digest=sha256:ec9ec632b80277ac87771221cda5fd68d780fdf40527b4a58eb3d9f3bbd2fb4d

Observation e96e70db-0bbe-4f51-b9f5-3e47c9097738 · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.359123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.359123Z digest=sha256:ec0e83b4d12142b9228ed632a4c71651bafc1fe1364488ca6fbc5352be9ccf10

Observation d4d2f13d-0b15-47bf-b5cd-81b531a4d1fd · outbound

This paper cites Continuous 3D Perception Model with Persistent State.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Continuous 3D Perception Model with Persistent State

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.454023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.454023Z digest=sha256:49b365c33a341de4dc08f64d586496dac54b0e0475b2c211b85200e501d03b02

Observation 1f04eb1f-328d-4145-8a89-609b4bc610e2 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Dust3r: Geometric 3d vision made easy

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.499751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.499751Z digest=sha256:301a417ea4614e6324f731cddd49d9508280620fdbb9942f65804804e9082f10

Observation e4f18c5d-3bc5-44bc-b9c5-1b7e06eceee6 · outbound

This paper cites Sts-tooth: A multi-modal dental dataset for semi- supervised deep learning image segmentation, September 2024.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Sts-tooth: A multi-modal dental dataset for semi- supervised deep learning image segmentation, September 2024

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:44.529560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:40.565322Z digest=sha256:2711bccb02f82c0d82350202aa37ab30d8252483056ad3b8d3020ea2de7abde0

Observation 2d949b9f-13d5-47d3-ab8d-dfeacccfb0e6 · outbound

This paper cites Freesplat: Generalizable 3d gaussian splatting towards free view synthesis of indoor scenes.Advances in Neural Information Processing Systems, 37:107326–107349, 2024.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Freesplat: Generalizable 3d gaussian splatting towards free view synthesis of indoor scenes.Advances in Neural Information Processing Systems, 37:107326–107349, 2024

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.633259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.633259Z digest=sha256:eb78735253d1d77e7c7f75f05f4b462b471735ab91f68d8f7b99fa8c697c2eb2

Observation 77bdcd34-d750-4520-be51-5295b87b6b20 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Image quality assessment: from error visibility to structural similarity

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:44.337442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:40.714890Z digest=sha256:35f9aee940237748448a63d0035bb51e4f107033c5f434d5745d27d4fd9d559e

Observation d2fca5c9-7df9-4db7-9962-e65b18f8cab1 · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.782571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.782571Z digest=sha256:b0aebfb6989a8275501e1dac9f23e759e024dc726673f93a2091bfbc23cedaee

Observation 81d8f466-0b0c-4d8f-9fa5-e84ba92938b6 · outbound

This paper cites Pq-net: A generative part seq2seq network for 3d shapes.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Pq-net: A generative part seq2seq network for 3d shapes

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:44.130156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:40.834505Z digest=sha256:82b644aa695a3f936dbb595d07ee0c33e7d569eff7db66bd90d930ae25535400

Observation 8a00af06-f0e4-4076-b30c-69ce1519b58a · outbound

This paper cites Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:40.918571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:40.918571Z digest=sha256:34807e4766d048ce4f2eb1f849eb8aaab89927b7b631a335c56da957fbfad551

Observation 42ec84a9-c101-41fd-951b-9202667566b9 · outbound

This paper cites Deep rib fracture instance segmentation and classification from ct on the ribfrac challenge.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Deep rib fracture instance segmentation and classification from ct on the ribfrac challenge

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:43.916649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.014935Z digest=sha256:baf595cd2a18829cb7a9e1fd02ed3d88e3017360eaa82a9351412702f4069cee

Observation 6d2f51b7-d59b-4918-bf63-79f5ef236077 · outbound

This paper cites Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:41.060295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:41.060295Z digest=sha256:b28bd4b76f78017af017fa1565efac80f949babca7e62ea765fc29a432090a53

Observation c9d7f3ea-9592-4dc5-be4d-60853d49900a · outbound

This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:41.130575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:41.130575Z digest=sha256:633226cf1a6947ff6c2512f1a6c972c7094029f5da74287a77ac275ef8da3eb1

Observation 45d3b35c-f4f6-440f-8563-e32ec581e913 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography pixelnerf: Neural radiance fields from one or few images

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:43.672419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.200741Z digest=sha256:3ed90a9ebe4e2b7a36beefcd29897cb89cdc078f6ee219571e85acf2b5dc053a

Observation 0d4d4b38-2eb8-4815-8f3d-71681adcca24 · outbound

This paper cites Region of interest reconstruction from truncated data in circular cone-beam ct.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Region of interest reconstruction from truncated data in circular cone-beam ct

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:43.384343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.239311Z digest=sha256:fc09c61a2bed42a593e38ffb1a1bcfbb521f88a40a39fa606127ecf8a692b625

Observation 37132aa5-e814-424b-a790-85d2718a47ba · outbound

This paper cites R2-gaussian: Rectifying radiative gaussian splatting for tomographic reconstruction.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography R2-gaussian: Rectifying radiative gaussian splatting for tomographic reconstruction

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:43.149078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.393240Z digest=sha256:096fab15520c06b139843f50560d3fc2a12af8df4b368ef20619bcee08eadc36

Observation cc812ef3-aff7-4300-9afc-070a89815852 · outbound

This paper cites Naf: Neural attenuation fields for sparse-view cbct reconstruc- tion.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Naf: Neural attenuation fields for sparse-view cbct reconstruc- tion

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:42.948627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.451550Z digest=sha256:d85e7c1b02ca918513a7e4c0957083f04f0ae8d3e1fb646effa2968d1446126c

Observation 7d532e7d-634e-4d65-ba8b-a99b7ee4f1a9 · outbound

This paper cites X-lrm: X-ray large reconstruction model for extremely sparse-view computed tomography recovery in one second.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography X-lrm: X-ray large reconstruction model for extremely sparse-view computed tomography recovery in one second

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:41.534326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:41.534326Z digest=sha256:244ab0b05fc2bd80f0f49da502e04cf9fc2ed3fbc2c849873cbeff271977545a

Observation 260a7bb7-d5b9-4523-9b95-e51cf80d539e · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:41.606144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:41.606144Z digest=sha256:aeb735fc7a0c60c6e39b14de289fc3dae70db18b70bc936e265c658d0302618c

Observation e06d14fa-e764-4b5d-bed8-5cd02dc5a40d · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:42.831927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:25:41.688590Z digest=sha256:7aa857818fa42dc390e98e4266887029e24638d12e85fd528046a3d6cf6e23b7

Observation 76deb7da-faae-407a-b850-0d5e018d177c · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:41.751480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:41.751480Z digest=sha256:dba6070e35ff444382a33d6da45dbeaca8f98be81be40f23c3dd58d0c680d131

Pith citing papers

Observation a45d367c-d8bc-4149-be3a-e27d0dcc8cb7 · inbound

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection cites this paper.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:40.189783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T10:44:36.604382Z digest=sha256:eaa6d2b3685f6baafe6c7827f0698fe7b2cd14e4d06d5fb87a9e6aaca8d86da8

Observation 1d9185b1-037a-4855-b1a3-fce9c9ad3043 · inbound

ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction cites this paper.

ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T20:51:28.149612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:51:28.149612Z digest=sha256:d8d22ee84aedc4befa77079f7e78c8d38429962a1f18fd7aa3a390c3f39465f9