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Paper Citation Record · LEDGER

Efficient multi-view training for 3D Gaussian Splatting

As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.12727.

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

pith.paper-citation-record.v1
2506.12727 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:50:53.012695Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33e1a2e7-eb91-4f03-92a9-e5d0079660b3 · outbound

This paper cites Gaussian shell maps for efficient 3d human generation.

Efficient multi-view training for 3D Gaussian Splatting Gaussian shell maps for efficient 3d human generation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f9dcacfd-8c22-4378-a212-cf4d2c7290a9 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

Efficient multi-view training for 3D Gaussian Splatting Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 2

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raw_fallback, observed 2026-08-07T00:51:02.160397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d5f511b5-0754-4e23-b959-c7c771934206 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Efficient multi-view training for 3D Gaussian Splatting Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:02.052361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c1cd9aa-446d-4359-97eb-df7d03875e0a · outbound

This paper cites Tensorf: Tensorial radiance fields.

Efficient multi-view training for 3D Gaussian Splatting Tensorf: Tensorial radiance fields

Reference 4

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raw_fallback, observed 2026-08-07T00:51:01.954948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:46.739684Z digest=sha256:6e1510d124531e91e71d91f8bf9a398e75c5f3e6f1b21bac44aa24a833997b6c

Observation a9d583ba-bc80-4efa-9913-50d18fb9db97 · outbound

This paper cites Hallucinated neural radiance fields in the wild.

Efficient multi-view training for 3D Gaussian Splatting Hallucinated neural radiance fields in the wild

Reference 5

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raw_fallback, observed 2026-08-07T00:51:01.840273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 521fa817-fdba-4aad-8be2-1a1bc86b7d7d · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

Efficient multi-view training for 3D Gaussian Splatting K-planes: Explicit radiance fields in space, time, and appearance

Reference 6

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unresolved
no resolver link, observed 2026-08-07T00:50:46.902605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:46.902605Z digest=sha256:664744a0148b75fc662f1e6bfd6add0dd8f1fd552200b8765c44f0e1d03fbdcd

Observation c039f327-920c-4ae1-9d57-371c6b84d619 · outbound

This paper cites Instruct-nerf2nerf: Edit- ing 3d scenes with instructions.

Efficient multi-view training for 3D Gaussian Splatting Instruct-nerf2nerf: Edit- ing 3d scenes with instructions

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T00:51:01.701400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.028720Z digest=sha256:fcd600ed9c0a50e520078cddc6e1f2b18ee2228a3e01fdf92b9f41a1ba90e553

Observation c0f1ac20-1894-42b7-9823-e6991469eaf7 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.

Efficient multi-view training for 3D Gaussian Splatting Deep blending for free-viewpoint image-based rendering

Reference 8

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raw_fallback, observed 2026-08-07T00:51:01.602870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.171776Z digest=sha256:39b61739df316531e634bb7042aee06c718470bf6f34f5b86eedce5905000d40

Observation a28a3a58-3a23-4f11-81de-81b5b8eebcc7 · outbound

This paper cites Barron, Pieter Abbeel, and Ben Poole.

Efficient multi-view training for 3D Gaussian Splatting Barron, Pieter Abbeel, and Ben Poole

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T00:51:01.494737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.259006Z digest=sha256:6287c8c84bf88e0d46d0e3ebe1389718d9c48e848d11defff19c540378c1bab9

Observation 35e4422e-5310-4d9e-a114-b9fa9d4b20e7 · outbound

This paper cites Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization.

Efficient multi-view training for 3D Gaussian Splatting Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:01.389813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ff38fb22-dded-41d4-82d3-ac5c42414812 · outbound

This paper cites Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces.

Efficient multi-view training for 3D Gaussian Splatting Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces

Reference 11

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raw_fallback, observed 2026-08-07T00:51:01.261555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f256c7f2-2ac8-40fe-8408-9daac74b7143 · outbound

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

Efficient multi-view training for 3D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T00:51:01.119201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.624990Z digest=sha256:4dfc5546b0338e368f46e0d68a55feb2d049ce889b3ecdff84fb3ffdc95d8964

Observation 90d3de00-5bf9-4bec-8d35-45d1618a3a05 · outbound

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

Efficient multi-view training for 3D Gaussian Splatting 3d gaussian splatting as markov chain monte carlo

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:00.937654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.756052Z digest=sha256:4cd89170a99ab937caa0177873ad744c571c02d98410df690bb6bc9f558b364d

Observation 3a3f1543-19c3-4a1f-b7f9-77fd4f19e885 · outbound

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

Efficient multi-view training for 3D Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:00.761150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.841396Z digest=sha256:ced4304fc15dcf5d43fd3fc8812cfdbcde7034a722ec71f2f43afd1bfb2de2ed

Observation 85226559-6144-478b-92a4-5e0c62fc77a7 · outbound

This paper cites Decomposing nerf for editing via feature field dis- tillation.

Efficient multi-view training for 3D Gaussian Splatting Decomposing nerf for editing via feature field dis- tillation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:00.610753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:47.964019Z digest=sha256:58d0ccdd8b9df216820c29331be486a53ea869f0b74f7f279ac67ce331527603

Observation 695bd445-f7eb-49c5-b9b2-445b45d96646 · outbound

This paper cites WildGaussians: 3D gaussian splatting in the wild.

Efficient multi-view training for 3D Gaussian Splatting WildGaussians: 3D gaussian splatting in the wild

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:48.071648Z digest=sha256:d2e63d30a71deea45dea5becf7e38d3f15a945373f609552ffd8f876f7acf94c

Observation f8175a3c-ebe8-485a-91da-272a2d42da86 · outbound

This paper cites DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling.

Efficient multi-view training for 3D Gaussian Splatting DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:48.183702Z digest=sha256:6c885f3f2554cf9f30762ca1bf61d6f9e65fb81e523f67e09ebed68b1652ccf7

Observation 3f063201-b051-4745-974e-bd45d8e18215 · outbound

This paper cites Neural 3d video synthesis from multi-view video.

Efficient multi-view training for 3D Gaussian Splatting Neural 3d video synthesis from multi-view video

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:48.308713Z digest=sha256:9edab63ec92fd9468cf7a5965c346dec8f2a56d11a6bd5b9ab0e16d601469fec

Observation cbc82355-79fa-430a-8630-3b2ac2da53f3 · outbound

This paper cites Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images.

Efficient multi-view training for 3D Gaussian Splatting Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:00.301183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:48.514358Z digest=sha256:a93414c270451a841058e4dbbea6f4aa2ea5c9e0cea0f90c4193207ac769eb66

Observation c42c1bc1-a603-4b2c-98ef-2c48c5169534 · outbound

This paper cites A large-scale outdoor multi-modal dataset and benchmark for novel view synthesis and implicit scene reconstruction.

Efficient multi-view training for 3D Gaussian Splatting A large-scale outdoor multi-modal dataset and benchmark for novel view synthesis and implicit scene reconstruction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:00.150969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:48.636195Z digest=sha256:b51d37fdb95128901c80908bde9d6c5ff5e4d4fb6b11ad7a97c17d9ad5b8dbe7

Observation 5f2292b6-e9a7-4949-9fe3-b5a4c9ba1b3c · outbound

This paper cites Neural microfacet fields for inverse render- ing.

Efficient multi-view training for 3D Gaussian Splatting Neural microfacet fields for inverse render- ing

Reference 21

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raw_fallback, observed 2026-08-07T00:50:59.992354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 62bc361d-e525-476b-bb4f-53e97e05c52e · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 629cfd11-60e4-4f66-98e4-ff7f84f5120e · outbound

This paper cites IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

Efficient multi-view training for 3D Gaussian Splatting IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:49.061698Z digest=sha256:0bbdcd29229ac6a8221ddfbb5ea1fb4e906b570d0557af210e085b07fa10ff3d

Observation 93f261f5-a6aa-4f4b-8eda-ba6cf0d7c46a · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Efficient multi-view training for 3D Gaussian Splatting Srinivasan, Matthew Tancik, Jonathan T

Reference 24

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no resolver link, observed 2026-08-07T00:50:49.175227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:49.175227Z digest=sha256:c11e711a74523634398b5aefadb541d690becac73383c2c221472a4f04322a94

Observation 9aeaeaa1-c91b-4837-86c3-cca9760ae7d6 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

Efficient multi-view training for 3D Gaussian Splatting Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T00:50:59.672803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:49.296785Z digest=sha256:6f7f2d54ee16c546c467cba4304867db24ead1d0df8eb23f7d70c9aa6890ce4c

Observation 311f0a6f-34a4-401a-8be3-973fd4a8234d · outbound

This paper cites GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting.

Efficient multi-view training for 3D Gaussian Splatting GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:49.414808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:49.414808Z digest=sha256:7a755991462a9a4b427664e1a8db34dca74212afa5f19da2ae7f9a79d68ed487

Observation 96bb15a4-cf51-43d8-8b7a-e12baa529122 · outbound

This paper cites Fast dy- namic 3d object generation from a single-view video.

Efficient multi-view training for 3D Gaussian Splatting Fast dy- namic 3d object generation from a single-view video

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:49.495897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:49.495897Z digest=sha256:8e0f97d78108d1bf2734c7d4623ac765fa54aa39ec9831cb9953b1b3bc6ba303

Observation 7b0d3b23-4c4d-4007-9e0d-66378bd17ad5 · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Steven M.

Efficient multi-view training for 3D Gaussian Splatting Barron, Sofien Bouaziz, Dan B Goldman, Steven M

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:59.533701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:49.643979Z digest=sha256:a7e7c44d67f4fbeabe2a94fedba47674c3132921f6c159188049f7ca4c4acdb4

Observation e4b47675-4ce4-46a5-9de4-236c6ddb6d7e · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M.

Efficient multi-view training for 3D Gaussian Splatting Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:59.236121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:49.723254Z digest=sha256:19bebe70cc4dd560b21867e468596b1fdc049f1593a84dc0a85255d90b8424e6

Observation d5fef8a7-2588-45d2-8d5f-4c894d2bd9a0 · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

Efficient multi-view training for 3D Gaussian Splatting DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:49.815057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:49.815057Z digest=sha256:b8f33b546b92bbe27b06c6cbfb51efe08d4daa77a3f2a967b9b91905f2de1915

Observation e2dcfc1b-2d46-4ac6-9570-03a993b0ee5e · outbound

This paper cites Pointpronets: Consolidation of point clouds 9 with convolutional neural networks.

Efficient multi-view training for 3D Gaussian Splatting Pointpronets: Consolidation of point clouds 9 with convolutional neural networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:59.028733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:49.927891Z digest=sha256:00d68584e0078ed34af3cf7a5b20d6be5aba42baacc38723b3ab54ed7fe8688c

Observation 7aa48923-14ec-46d3-8258-03ba5166ecdd · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

Efficient multi-view training for 3D Gaussian Splatting Plenoxels: Radiance fields without neural networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:58.878753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.010408Z digest=sha256:131024747d5b148cb0a108e19fc4bbfd661c1fc51364c901f39540dd9569edb4

Observation 1656e540-4c84-4c9b-adb6-2c9880e99a57 · outbound

This paper cites Structure- from-motion revisited.

Efficient multi-view training for 3D Gaussian Splatting Structure- from-motion revisited

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:58.609430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.078839Z digest=sha256:6f8238997e6486a3762abe95081fefe1fd0ee2d1e9a0b793146215e65587ab46

Observation 9c65c0ad-15b6-435b-93b0-cf48e4820b89 · outbound

This paper cites Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation.

Efficient multi-view training for 3D Gaussian Splatting Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:50.191358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:50.191358Z digest=sha256:27dda6923b2628357433956d641405380ac7209a5684885060fcb5b0f81562b3

Observation b0af617b-a103-4408-96b6-8a1b8887f073 · outbound

This paper cites Nerf- player: A streamable dynamic scene representation with de- composed neural radiance fields.

Efficient multi-view training for 3D Gaussian Splatting Nerf- player: A streamable dynamic scene representation with de- composed neural radiance fields

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:58.336471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.272988Z digest=sha256:7615cc2564f58835f1d5b427c2d8fe7313044262226b6ab9e669c606e808c4d9

Observation 7a5bd5f2-e8ca-4a73-9fa7-ea34fa4d2ab6 · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation.

Efficient multi-view training for 3D Gaussian Splatting Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:58.101862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.387356Z digest=sha256:a830fa1ee000106ceefa704cacfbabb36d75e25b00be53af99466ab764ec7371

Observation 94fc6bfb-0ccc-4135-88a3-d9a7f2eb2910 · outbound

This paper cites Ref-nerf: Struc- tured view-dependent appearance for neural radiance fields.

Efficient multi-view training for 3D Gaussian Splatting Ref-nerf: Struc- tured view-dependent appearance for neural radiance fields

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:50.454794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:50.454794Z digest=sha256:55571ac6b4dfbd906630c340afa403f64e7c6f6a3840b307e67a3a1e26c7e5ab

Observation 1a37e4ed-daac-4387-8796-3f673e86ac4a · outbound

This paper cites Clip-nerf: Text-and-image driven manipula- tion of neural radiance fields.

Efficient multi-view training for 3D Gaussian Splatting Clip-nerf: Text-and-image driven manipula- tion of neural radiance fields

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:57.914282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.537672Z digest=sha256:95261bbefd5bf336726c2cbdda343526bc2605cf6f1a9659b3bc9cc300765e5c

Observation 22eeb32d-49cd-4e1a-9e06-9c3119947927 · outbound

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

Efficient multi-view training for 3D Gaussian Splatting Image quality assessment: from error visibility to structural similarity

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:57.629621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.620083Z digest=sha256:587f409f9d8c2fce20c040ebb1d62194cfb20ca05a2d3af45fa1313228531eca

Observation c16e8e8f-b8e7-46a7-a3fb-bcf67055a61c · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

Efficient multi-view training for 3D Gaussian Splatting 4d gaussian splatting for real-time dynamic scene rendering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:57.353584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.702465Z digest=sha256:378011fcfaa26812be07e3cc2647853985d386903a3f8ae734ebda5a0656ad0d

Observation 94b9d1bc-c0c0-4c71-a5fb-835b25573de7 · outbound

This paper cites GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing.

Efficient multi-view training for 3D Gaussian Splatting GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:50.792915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:50.792915Z digest=sha256:9a66692bd6e42d7b50e60071671f373d8d8ea5efbc9388371f7842dfb09321dd

Observation fc5059a3-0178-42da-883b-ce4ffd48fa53 · outbound

This paper cites Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision.

Efficient multi-view training for 3D Gaussian Splatting Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:57.011045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.863371Z digest=sha256:160e4ce455f663032e5ea5e83b1dde7555169608eeea32db93aab6ef585dbb20

Observation a037a797-3eb4-455f-b105-ffd3fcdd6694 · outbound

This paper cites Real- time photorealistic dynamic scene representation and render- ing with 4d gaussian splatting.

Efficient multi-view training for 3D Gaussian Splatting Real- time photorealistic dynamic scene representation and render- ing with 4d gaussian splatting

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:56.684615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:50.972209Z digest=sha256:37ab6aba0a646d80045777571dbce50432a25bed25e14d05fb80621b5c036f35

Observation 78a97436-73de-4bc9-ad9f-bb5842cf98b6 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

Efficient multi-view training for 3D Gaussian Splatting Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:51.060290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:51.060290Z digest=sha256:e826d3b24245e63e0c72aca01cb0be335fe6fe87f918e87e69bd4a50672a41ca

Observation 092328d7-c940-4bc1-aa12-324a2d3967ca · outbound

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

Efficient multi-view training for 3D Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:51.132142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:51.132142Z digest=sha256:3e9f96aac44b2fa07d593916a628772174ecd3f8155730bb5c55d0d49fa17c95

Observation 94566090-85df-4251-bc6f-daa111d33fa2 · outbound

This paper cites Loss functions for image restoration with neural networks.

Efficient multi-view training for 3D Gaussian Splatting Loss functions for image restoration with neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:56.412776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.238516Z digest=sha256:c5f5071acf56187023d41af90032b0fb39c0ab1b8695203e5c4d96df8802fe33

Observation 01eecaf1-2baa-4f42-aee4-f2e104be454b · outbound

This paper cites Accelerating minibatch stochastic gradient descent using stratified sampling.

Efficient multi-view training for 3D Gaussian Splatting Accelerating minibatch stochastic gradient descent using stratified sampling

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:56.269127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.306626Z digest=sha256:2bc2a5ebbe050ed06ccb7a7ef20a0b57de81cdb9b29dd4b82139f58ede628aaf

Observation d44a20e1-57f5-4487-831d-bc27e0eb635e · outbound

This paper cites GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting.

Efficient multi-view training for 3D Gaussian Splatting GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:51.382363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:51.382363Z digest=sha256:1b99e78d0534107bf1f456780016f4f65f71b022cea3bea01ddaffc86ca6e1a4

Observation 5fddcb7e-7dbb-4781-9703-6e8d5b9a0198 · outbound

This paper cites Tip-editor: An accurate 3d editor fol- lowing both text-prompts and image-prompts.

Efficient multi-view training for 3D Gaussian Splatting Tip-editor: An accurate 3d editor fol- lowing both text-prompts and image-prompts

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:56.056931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.464475Z digest=sha256:ae5d81e26d280f4ddec48f70be057840ddf0cf023cf7e8d67ffdf8f209820898

Observation 06479f59-60de-4ec6-bec2-a74510e72e04 · outbound

This paper cites Ewa volume splatting.

Efficient multi-view training for 3D Gaussian Splatting Ewa volume splatting

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:55.868459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.545973Z digest=sha256:13d006fce29e05b8c75afea2c1a1c49f99a8bf6884886cd30f0934e75ec7ceb2

Observation 8254c80e-9bf0-470c-a465-6178bb666a33 · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:50:55.594424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.614559Z digest=sha256:c5ed134e7c3f8d044cea02f570320abe9a16574f93e7297ba46efc38b2993b4e

Observation d61bc559-8495-4fd8-84cf-81dcbc441e98 · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 52

Resolution
verified exact
raw_fallback, observed 2026-08-07T00:50:53.322606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.685832Z digest=sha256:e42e9f33d80d35ddd9e0382b489bf62cbd31edf9bed46649db4c4a4b4371011a

Observation e9839913-10a4-45d9-83db-fc993e234e9d · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:50:55.325042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.789950Z digest=sha256:ae4acd689a7e5bfb4bb1654236cc3f2c032e20a0bb1b2f95adac0ebb78ef69b5

Observation 4db2fbaa-01aa-4ae3-b0cf-d6d6412eab6d · outbound

This paper cites Other hyperparame- ters are the same as before.

Efficient multi-view training for 3D Gaussian Splatting Other hyperparame- ters are the same as before

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:55.126098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:51.933799Z digest=sha256:96d41a7ad2eee9203bf6127ec0aff52da7fee09265b6dfbc33ca373d25d1f6a6

Observation cea45d34-4b9b-4ec3-957a-d0d4ba82817b · outbound

This paper cites The 3DGS rasterizer primarily con- sists of two main components: preprocessing and rendering.

Efficient multi-view training for 3D Gaussian Splatting The 3DGS rasterizer primarily con- sists of two main components: preprocessing and rendering

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:54.870731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.100464Z digest=sha256:6cc075a077dfcf714ed308e872fb8bf6f51de686aa4c3a7f2c060098ff00bac3

Observation f865aa3b-5b96-40d8-ba09-c3e07435ac43 · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:50:54.661901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.255277Z digest=sha256:895c298b581b254a1327bec28f30b6504904e2a7852f2191413a0f59555a5453

Observation 3edfa750-fb1e-42cd-817b-2a966cac4e55 · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:50:54.493624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.440482Z digest=sha256:da590be23ab1f3ad451f56878cfe84f2a3781c5934fde3a892f6a8045d130d6b

Observation 2b87c6d5-4e61-4505-b8b8-dd79d84ddc21 · outbound

This paper cites First, to reduce memory consumption, the ras- terizer determines which Gaussians participate in render- ing for each viewpoint in a mini-batch before preprocess- ing.

Efficient multi-view training for 3D Gaussian Splatting First, to reduce memory consumption, the ras- terizer determines which Gaussians participate in render- ing for each viewpoint in a mini-batch before preprocess- ing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:54.322247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.550026Z digest=sha256:ea67c0f1d1e85d7f664d90c06ebda2b897b992b3e54757bebed011300203a6e0

Observation ff3031a4-8a9a-46c9-b4cc-42baa6fa871b · outbound

This paper cites It is necessary to eliminate the overhead of the preprocessing step to achieve constant time complexity concerning the number of images as NeRF.

Efficient multi-view training for 3D Gaussian Splatting It is necessary to eliminate the overhead of the preprocessing step to achieve constant time complexity concerning the number of images as NeRF

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:54.134629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.700757Z digest=sha256:47295d94b581dcbad3b93df3ba9b2d700997d5155cc06d213fb8e90c974de8bb

Observation b4b72343-056d-492d-b523-6dc6cdd27fbf · outbound

This paper cites an unresolved cited work.

Efficient multi-view training for 3D Gaussian Splatting Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:50:53.965579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:52.885987Z digest=sha256:18fb146ecb2a2fd7a96089ce7081174df86496fe879e4c3806e34770b44ffab3

Observation 763aa62b-4969-42a6-a14c-4730c60bc6d1 · outbound

This paper cites We report the full table of 3DGS [12], 3DGS-MCMC [13] and the results of adding our method to them.

Efficient multi-view training for 3D Gaussian Splatting We report the full table of 3DGS [12], 3DGS-MCMC [13] and the results of adding our method to them

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:50:53.726909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:50:53.012695Z digest=sha256:cb101c1b52533a4637352f7d22adb6dfdc24535363edb2a4dc48ee17d5eca421

Pith citing papers

No inbound Pith citation observations are available.