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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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
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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.248151Z digest=sha256:e92708938c5d0cf0244040b67669719f3dd157fb86acebf0c16ade7fca26e17c

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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.410088Z digest=sha256:d59b50420b637beea730e27b03dde022acb60843a614a962d2229092a2ce087c

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.493670Z digest=sha256:5c8f3482b979ee6ecc619c954b2e3cf4d2c626f389a69e7c8087a9e4a8bc1fbb

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.586768Z digest=sha256:0539d4cdd87a5139bffebccafce037ba8b866f9d2b52e586d7b16907f8a57527

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

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source=pdf_text observed=2026-08-07T15:25:38.689479Z digest=sha256:ebf5b3bc85c15e3f5cccc2ddb0fdfd98f1c820c4d71759da2c36ee200867a780

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.768463Z digest=sha256:6a4807cbb52bb17309180bc1108884d869ddbfc6f5492c45fa590c7bd8b38760

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.832064Z digest=sha256:735a03adeb51cbd5a01e4a904e25d96570b681ff99216fc2cf525fca14c18780

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:38.887808Z digest=sha256:21016db08e29208892b7f6f05a9fb626d46765d6ad21c0b30a3896273e726b45

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

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source=pdf_text observed=2026-08-07T15:25:38.985201Z digest=sha256:d2f806704bc3cacc4fcdd7c1eeaa78fd3fdf78e708137019b10dd25d6d783d74

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

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

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source=pdf_text observed=2026-08-07T15:25:39.075073Z digest=sha256:f24d48bc37e00fb9f1fba742cb5a6af24dc314b806b4ef46ef4620c8d7bff167

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.137683Z digest=sha256:45c042c73651739f26202cd1423f267cc7de5445a23ef3a04b0002a1644b36f7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.241170Z digest=sha256:ed664b6ee4e502326561a108f7e0c83d0437dc34c7993bdc496e9344b314c949

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.311409Z digest=sha256:d1feae9f2e58e000852b2d2d6d3fa4fbced870be0f1e1ed0a74ac3993ca7800e

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

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source=pdf_text observed=2026-08-07T15:25:39.377820Z digest=sha256:b8db034c7400fe209fdefe2d583784a1e05c613254e68fadc09450c43f92ecba

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

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

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source=pdf_text observed=2026-08-07T15:25:39.440405Z digest=sha256:ffb40e9250ad1ee9fe8899da7b49640a542dfb2a1e29f0388d7c59daa6c6b285

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.497712Z digest=sha256:b69027a0f56ee5b64f7fd2e370377a8094b8c343aed91cfb9672d9bc21b02dcb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.560485Z digest=sha256:eb754b4f02f086bef0408e6c0c27013e12b872b43bfe338e44eab3234b654c75

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.654085Z digest=sha256:91498c42dbb233e585be3384b785fb1cf2b677f4e1edf068e0d312f7d14b6481

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:39.780367Z digest=sha256:1074340a45caf2e1265e3852b363b2811beae09b0c01ed74f5ba5a84e14c7c25

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:25:39.834868Z digest=sha256:45fe81cd34d55fe873937f05995cf7d9ab98a3b8c9d040ee339db05b0f13eb79

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

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

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source=pdf_text observed=2026-08-07T15:25:39.899237Z digest=sha256:673bbc60a33436b7ce08865b720f4c85fc9e0cec5931a5be93b3bcbd6b62a94b

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.953196Z digest=sha256:4d67f3a151fa222d86fe58dc5b00696e1bceb014902c10f9a62601caada1b35b

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

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

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source=pdf_text observed=2026-08-07T15:25:40.019484Z digest=sha256:c30168c35349b0d1442771a9db05a4c10c68f74e502a964fe2bee05227b20bf0

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:40.066314Z digest=sha256:c10760dd0eb4cfae51d488c158ff1ad8cdfa77ae579a94f1d60f1dedafeec25b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:40.177206Z digest=sha256:f683be5d988367ae20604fbf9dd4175de7ee0932d33323fda5fb738f569c6eb9

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:25:40.237122Z digest=sha256:76493b38cef745729251e5f63f1a515b5a105ce1e1ff22d045294c5223610059

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

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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=sha256:8b287a8fa78a2d894aa2eb4933e499c340135ba1158eaf8df76d0f040b22cc73

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

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

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source=pdf_text observed=2026-08-07T15:25:40.359123Z digest=sha256:7411ee6cfd6b92bf13fcbc59ae9e67a358eecbd7c4865a469fbcf451549a265b

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:25:40.454023Z digest=sha256:a69fe6ad98e7fb468d557e14f915941ffb0219341adbb46ebdb233c10a2aefed

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
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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:d50bf9f76ade9c3c773830d73984cb823177b17347bdbd6bf38900149136007b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:40.565322Z digest=sha256:1dc1548fa2e2272e1d2d0cffd29af93da1ea119c5dcfd45b490c49c85ab98afb

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:25:40.633259Z digest=sha256:9ff4d6fb17893ed388654de2cd88a29fd5631ed1b5838e6bcad0d94e248019c1

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:40.714890Z digest=sha256:00bb8bec0d6b89058bcf8eb361cd4c2dcf758ba7c43bed8beb9b98314efe1e74

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

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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=sha256:8388435cc395c1c9e7801155011d792a9fbc0c3a8a36ff6a8c952447ab38435a

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:40.834505Z digest=sha256:605f1e8c861ab4da6fcca6577f4f97ee9d386d42aeb63735519e8e392cc740e1

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

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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=sha256:06c3745e4e31fccaca5f50799aa83ac2a3c76288fd630e22535fa9b13d84a41e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.014935Z digest=sha256:b5ca7c39f9e1d2066f9a0a4dd4b6479d463bcef98d891948bf0d16b33dd0e20f

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=sha256:5a92a88d43b5b6bb2bc6a21ca540afd7197351162dbca76b2eeec9db597c9fad

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=sha256:61bb2e1aa55f313fb7c70dc976f6521c6be678668455fe0a0f1e3ab86d755c5a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.200741Z digest=sha256:d1f67f5320af9eef9b74cd0efc2fd738bd9461816d57cf3074a74eb38f5d001f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.239311Z digest=sha256:d181f87b13e401784cf5bf049b43cc7541d77c5bd578ae29af459d491c621339

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.393240Z digest=sha256:f8b4e3a6c40432c73068b933f199f0dec0fd7a29c32df358777a97a462ff6752

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.451550Z digest=sha256:ac8c98a508f330208e951653ef11628ecd1cacb88b0e1539937a975fd8be67ff

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=sha256:2cec3d1a5fe68ae8553ee3ab6d2ff59a9db1e869e8dc7de3632a38883881e0a4

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=sha256:8ee252b8b1e1c02f0439f82afdca8c1e7da2ea482469a4719568eaabe554b126

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:25:41.688590Z digest=sha256:df4f109695ea9e3c6474607d5129bbd8e597651d5133ec84f18270ec08a8557b

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:b4f3cb133a15c7104ca9df1546e397f19688d901d7f589d1d5b771e2542d1570

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:44:36.604382Z digest=sha256:56164f0fd51a8c953ae903fa05e4fd0834e249e0892b93e605da302032758908

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=sha256:76a02d7cd8aa8d553257ffd9bb42c31ac103d5d523091d35e20c29f6d4dc9fc6