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Paper Citation Record · LEDGER

Fast 3D Foundation Model Initialized Gaussian Splatting

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.03209.

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

pith.paper-citation-record.v1
2607.03209 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:07:24.338434Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation 7ae45481-3915-42b2-a070-e4f383aea912 · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering,

Reference 1

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:ae4c9b5ea781a7725750bf1c21dd3632666ab6283f4e88250eb7693f804fbf89

Observation 61b7ee5c-3cca-41d8-8f8c-0f7c99bd1aff · outbound

This paper cites Structure-from-motion revisited,.

Fast 3D Foundation Model Initialized Gaussian Splatting Structure-from-motion revisited,

Reference 2

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Observation 5db1cdd4-6cc4-47fb-9f17-c11eb7cde7aa · outbound

This paper cites Pixel- wise view selection for unstructured multi-view stereo,.

Fast 3D Foundation Model Initialized Gaussian Splatting Pixel- wise view selection for unstructured multi-view stereo,

Reference 3

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:3d434fe05e9d970213e4fe33e5f3565810559fa28afd283e4b29cd85332020cb

Observation 96090194-5358-458f-a26e-801f940b247e · outbound

This paper cites Dense-sfm: Structure from motion with dense consistent matching,.

Fast 3D Foundation Model Initialized Gaussian Splatting Dense-sfm: Structure from motion with dense consistent matching,

Reference 4

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:8a8832372bfb7c17fe88c0a6b461d0de6e718ba6b944679cbff8a63a19ade742

Observation 9906a137-09a6-428b-b249-c933243c5748 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

Fast 3D Foundation Model Initialized Gaussian Splatting Vggt: Visual geometry grounded transformer,

Reference 5

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:a0ba94dd53b5cb1519696f818391eb2070e9075209e18fa4ab26ef149f82be84

Observation 1919a248-99b6-4a9d-b925-f2291bfade7c · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting Dust3r: Geometric 3d vision made easy,

Reference 6

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:37696b1cc45257fe47e08531ffe0d8e82ef5008abf931d0c732d8ddfb21ac9e5

Observation 45db2968-daf5-4de5-b717-523d9926041c · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting Grounding image matching in 3d with mast3r,

Reference 7

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Observation 90bde7d3-79d0-4b8e-809f-9072d21caf4b · outbound

This paper cites Vggt-x: When vggt meets dense novel view synthesis,.

Fast 3D Foundation Model Initialized Gaussian Splatting Vggt-x: When vggt meets dense novel view synthesis,

Reference 8

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:7cf4578f73afbef3c0bfb06a665fc82dec6cf991de4afa349b869dc5c144cde4

Observation 499647a7-7c70-4466-bc78-95defce46fd8 · outbound

This paper cites 3r-gs: Best practice in optimizing camera poses along with 3dgs,.

Fast 3D Foundation Model Initialized Gaussian Splatting 3r-gs: Best practice in optimizing camera poses along with 3dgs,

Reference 9

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:5f5ca0556ed460dbf9d114cf2883e2e299205c7ce49be08d5207bcce0a7575c9

Observation 0d9acc89-882d-47fa-8f39-cae9c9f0efa6 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

Fast 3D Foundation Model Initialized Gaussian Splatting Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 10

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:cb0af0613e81b67c7cdaab0b7545362724bd7a71a26ee4b8e707babca447071a

Observation 2e29ca0f-f482-4b86-93f9-6bea71defb03 · outbound

This paper cites Gaussian splatting: 3d reconstruction and novel view synthesis: A review,.

Fast 3D Foundation Model Initialized Gaussian Splatting Gaussian splatting: 3d reconstruction and novel view synthesis: A review,

Reference 11

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Observation 82930f97-2675-4b64-85ed-17906527ecf4 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Fast 3D Foundation Model Initialized Gaussian Splatting Emerging properties in self-supervised vision transformers,

Reference 12

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Observation 47db636d-04d3-4dff-b968-ec0ce3ca7183 · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting DINOv2: Learning Robust Visual Features without Supervision

Reference 13

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Observation b72ea244-e0fe-42eb-b2d5-aae38dbccd10 · outbound

This paper cites DINOv3.

Fast 3D Foundation Model Initialized Gaussian Splatting DINOv3

Reference 14

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Observation d61751dd-e742-41fa-9cd2-64dbe483a266 · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 15

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Observation 7e675dd5-ff7e-426d-b9d4-9b69e9623cd4 · outbound

This paper cites GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model.

Fast 3D Foundation Model Initialized Gaussian Splatting GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

Reference 16

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:133d438563567cdee812ed9ecd9c7f654fa64c9fc2a150714d63ff37ca168131

Observation e28414ac-f6b4-46e6-865c-8326b9d2ce64 · outbound

This paper cites 3d gaussian splatting as markov chain monte carlo,.

Fast 3D Foundation Model Initialized Gaussian Splatting 3d gaussian splatting as markov chain monte carlo,

Reference 17

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Observation 71b2a095-a7c2-4e39-97fa-fbe6fcf16b72 · outbound

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

Fast 3D Foundation Model Initialized Gaussian Splatting Image quality assessment: from error visibility to structural similarity,

Reference 18

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:b8fa8ef77aac008f0dc966aedb5915ae40e3279c26315db4822e9fc2ce4d4b6b

Observation 9b123e0c-bff6-465d-87fa-bbf1862b4864 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

Fast 3D Foundation Model Initialized Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 19

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Observation b219d9d2-4160-44c3-87db-248ec20d4033 · outbound

This paper cites Robustnerf: Ignoring distractors with robust losses,.

Fast 3D Foundation Model Initialized Gaussian Splatting Robustnerf: Ignoring distractors with robust losses,

Reference 20

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:1744723d0ce6a93bba8b6640b2cfc9c81b0339ccfaacb4d3e85d166303d34e68

Observation a680df9f-40f5-48ec-a0c7-349122d2d584 · outbound

This paper cites gsplat: An open-source library for gaussian splatting,.

Fast 3D Foundation Model Initialized Gaussian Splatting gsplat: An open-source library for gaussian splatting,

Reference 21

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:1c70a14f6713a1e21ab297177370985f8fafb573b04ae410b538ec9bdb5029eb

Observation 73a7db86-f010-41df-a94c-c42cf5644abf · outbound

This paper cites Image quality metrics: Psnr vs. ssim,.

Fast 3D Foundation Model Initialized Gaussian Splatting Image quality metrics: Psnr vs. ssim,

Reference 22

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:c658fce394fbe7109149a75c22f251d55fb02415531b5300cddd0565213a44db

Observation 013010cf-d40d-4273-b1b1-2269ee615ad5 · outbound

This paper cites Image quality assess- ment: from error visibility to structural similarity,.

Fast 3D Foundation Model Initialized Gaussian Splatting Image quality assess- ment: from error visibility to structural similarity,

Reference 23

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source=pdf_text observed=2026-07-12T04:07:24.338434Z digest=sha256:f4f3d8fdbf1ceb0942adaaf8808cb0c52245db5452dde96ce3b1cd867d8e0283

Observation 98bf458f-fd6d-4cd3-9b54-96f6d835d61c · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Fast 3D Foundation Model Initialized Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric,

Reference 24

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Observation 68c12026-b621-4d53-89dd-42c62dca8832 · outbound

This paper cites A solution for the best rotation to relate two sets of vectors,.

Fast 3D Foundation Model Initialized Gaussian Splatting A solution for the best rotation to relate two sets of vectors,

Reference 25

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Observation 246f1300-ace1-437a-882b-0eea35899891 · outbound

This paper cites A discussion of the solution for the best rotation to relate two sets of vectors,.

Fast 3D Foundation Model Initialized Gaussian Splatting A discussion of the solution for the best rotation to relate two sets of vectors,

Reference 26

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Observation 96f2497e-97f1-4fa3-95e0-e977740375f9 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns,.

Fast 3D Foundation Model Initialized Gaussian Splatting Least-squares estimation of transformation parameters between two point patterns,

Reference 27

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Observation 161003ff-96f2-44b4-8b64-b6fe5b7648ab · outbound

This paper cites Zerogs: Training 3d gaussian splatting from unposed images,.

Fast 3D Foundation Model Initialized Gaussian Splatting Zerogs: Training 3d gaussian splatting from unposed images,

Reference 28

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Pith citing papers

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