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Paper Citation Record · LEDGER

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2412.00851.

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

pith.paper-citation-record.v1
2412.00851 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:00:51.929783Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:41.904768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:30:43.147507Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcd7f706-2977-4be6-915f-03731db3fef2 · outbound

This paper cites Nope-nerf: Optimising neu- ral radiance field with no pose prior.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Nope-nerf: Optimising neu- ral radiance field with no pose prior

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.375895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.765240Z digest=sha256:c1039597888253e4b4262f20cc27cdcee618abc84ecd3953ae93fb8ae4c3190a

Observation e4c381da-bd91-44be-b8de-48878f0d910e · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.364900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.769121Z digest=sha256:e711b84814fe49dbb16265c4b2025264ede8dd0cbd3a1500f6413ea909e63877

Observation 39f47138-f5c7-4007-aadc-785ae0ff90d6 · outbound

This paper cites Dbarf: Deep bundle-adjusting generalizable neural radiance fields.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Dbarf: Deep bundle-adjusting generalizable neural radiance fields

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.772783Z digest=sha256:e1f293e2d86d329fbc594750f1017e8daa20e3b63295e2cc0caa27bdf952c36b

Observation 1a7167df-1de4-4134-97a6-9f94aab25f76 · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.776429Z digest=sha256:f9e610a2d3f6c6241398e2417010751a9e589d2b403fbc872fff46c4de15b9be

Observation c6475a32-8cd0-4460-a646-f223c6e387cb · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Depth-regularized optimization for 3d gaussian splatting in few-shot images

Reference 5

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no resolver link, observed 2026-08-12T05:00:51.780326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.780326Z digest=sha256:e807e1dca8834d66836938ed67bac6801879d3c2bba1c224faea1c24b97d7da6

Observation c1bd030b-fb8d-48ed-bec9-a60abf4ad1ab · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 6

Resolution
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no resolver link, observed 2026-08-12T05:00:51.784132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.784132Z digest=sha256:033f5e7f605aa62949fcda5a561e5f5b3d5a648b4fd97c56191e88ea4f076a49

Observation f79ef98e-45a0-4c23-af68-3c480494ebe2 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.788154Z digest=sha256:10fce1e0266d9c7233e21898fc67ad404e5484e8a2e4a5ccf229ce197fcc2703

Observation 7d67a877-864d-4c4c-9b80-4df4eca5baad · outbound

This paper cites Efros, and Xiaolong Wang.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Efros, and Xiaolong Wang

Reference 8

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no resolver link, observed 2026-08-12T05:00:51.791459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.791459Z digest=sha256:9ef84ebe477d49ab194547e5dbcd3889beef98f1066a790e84ede354d01f6ed5

Observation c8ed7735-0120-40fc-8363-7a3205dbfac1 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.328231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.794923Z digest=sha256:e623cca74f9d0c5d5987ef25139001700f9742cd17506c4f3d5e606df854f7aa

Observation 8f574ff9-b3ae-4bbd-9fbf-56816cb88da9 · outbound

This paper cites an unresolved cited work.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.798445Z digest=sha256:b879afa5f6e5c3c34990771e70621c156be8c063c81441d57911e24b663f5565

Observation 5f810e03-430f-4b45-8967-aa65b19030fd · outbound

This paper cites Multiple view ge- ometry in computer vision.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Multiple view ge- ometry in computer vision

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.802601Z digest=sha256:111d120261be0a29da3bfea7a2e3aefc1736a9863198eeb65460db29da1c6434

Observation 02ef996e-421a-42d0-95cc-53369173aa61 · outbound

This paper cites Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.806250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.806250Z digest=sha256:94df874bf4030c5c74601567fe9bcf0f23766b53ed823b6c1bac1959ca689822

Observation 11151e9d-9bbf-4142-b7b9-2b6d467de71c · outbound

This paper cites PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.810057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.810057Z digest=sha256:ee3a4fcc1f9b906ab86abb19a3704ba204082e15cd19a30b0093619712b02051

Observation ad5b5d09-3038-4af7-95ee-7f0a390c5bcd · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair LRM: Large Reconstruction Model for Single Image to 3D

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.813705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.813705Z digest=sha256:a4f61a91732c165c94d815172d7a1eb8a9a978c5d6dda6c315573a7ca043b98f

Observation b13eaf53-a634-4cac-9b3e-1f435c632281 · outbound

This paper cites $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.817417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.817417Z digest=sha256:49f30d6436cbc93e92cf4ced89d2db5c923e8e2a049072a60526accb190abe67

Observation 4ad17048-2569-4a60-a918-4d065673e8e5 · outbound

This paper cites SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.821299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.821299Z digest=sha256:53577f4f9ec408e8b20ace4ce130f0115e33c641a3ed9cbb997a76422afef844

Observation 28fcb91d-ebc6-445f-b4a9-2b93f302cc6c · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair 3d gaussian splatting for real-time radiance field rendering

Reference 17

Resolution
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no resolver link, observed 2026-08-12T05:00:51.824835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.824835Z digest=sha256:e81800057a16b8fd6d5377800045b3b386a49d68996eb15e8fe17753a5ac7f8b

Observation 8800c1ce-b6bd-473b-b381-51f4b093fbe6 · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Ep n p: An accurate o (n) solution to the p n p problem

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.828358Z digest=sha256:63d366dbc54f50ea77a0b84914926cfbab6a576b9c8588c427cdf19f26d08620

Observation fbdd0b1d-36a5-4fd5-b131-59aaec433065 · outbound

This paper cites GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.832052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.832052Z digest=sha256:4c4fd9ca82710a87285bacde0fddddfe4c2dafdcc4f61415cf4243ee13fe15eb

Observation 30dffc88-cbee-42a7-aede-c92811b40554 · outbound

This paper cites Barf: Bundle-adjusting neural radiance fields.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Barf: Bundle-adjusting neural radiance fields

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.835691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.835691Z digest=sha256:7a56338715f7ae4707c54c651eee7572fdca8bf3169bdf51b3d10dfd34e802d0

Observation 8468ad8a-5a15-46ed-9613-fce987897a9c · outbound

This paper cites Unflow: Un- supervised learning of optical flow with a bidirectional cen- sus loss.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Unflow: Un- supervised learning of optical flow with a bidirectional cen- sus loss

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.277063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.839334Z digest=sha256:9b370f61a25c7b85b29c235fa995add3f3dd960a891bce7fbf45db6b5bc254cb

Observation 0b20b87d-d94a-4221-8f03-0cd2759b2e2b · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Srinivasan, Matthew Tancik, Jonathan T

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.265382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.842838Z digest=sha256:43657e1aeddad231dddcd94d53fb2137455213985b04c8c95ce0d908a59cd0f8

Observation 70f6f667-21c3-42b5-bca8-35af8731f70f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair SAM 2: Segment Anything in Images and Videos

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.846507Z digest=sha256:bdc7dae5adff1a74c01902d88f812a275fb0633841c470f312b9b02f0a68a6c4

Observation ef7238d4-d2d9-4da2-8884-9a7aeff1d5ea · outbound

This paper cites Structure- from-motion revisited.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Structure- from-motion revisited

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.252678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.850139Z digest=sha256:e3b38d18a26ec7d3bbf491c5d97d7986475d7718432d1ca7cd63d57ff3eafa9d

Observation c9528a96-3a01-4c12-95e6-36a226e51619 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.853686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.853686Z digest=sha256:26b97103d788907eebab96d43a861fb08e3e4d22922f8f0c22f6327ecc3e891b

Observation 554d5dab-7680-41f5-8fc2-168454530856 · outbound

This paper cites FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 26

Resolution
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no resolver link, observed 2026-08-12T05:00:51.857388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.857388Z digest=sha256:b075a44fa37da9c0e2b03868db84dd034b18672c01a49f6ff4bcc5c8500006b1

Observation 31451a2d-bad9-450b-88a7-61fe85c17026 · outbound

This paper cites DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.861349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.861349Z digest=sha256:d8b7008fb6d2b9fef3a828e2036eebdb1c00622682838652cd116afbc305686f

Observation e28181a6-e897-4b68-97bc-d6d27c3c6d16 · outbound

This paper cites PyPose: A library for robot learning with physics-based optimization.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair PyPose: A library for robot learning with physics-based optimization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.240017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.865133Z digest=sha256:6e5df92ba4c1bb74ec2c06155f317fc6fd79fae5ec098b1b2f57d4040f9e537d

Observation ff2f1665-1749-4a5b-93e6-e1073535b135 · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.868670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.868670Z digest=sha256:305af3d0d6a89df3925ee0e04d3d6caf9bb5340a4ab28475146087a32f71c559

Observation 8f97cae6-ac39-4c47-87fd-999ac0ce1dd2 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Dust3r: Geometric 3d vi- sion made easy

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.228566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.872487Z digest=sha256:6c080e93f35752242ddb5cf3d3a2e40313862b1aac0fa12752e549a7f182f560

Observation 33b85b15-483f-4a16-b1bc-f60e5104e622 · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Image quality assessment: from error visibility to structural similarity

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.875969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.875969Z digest=sha256:263a9390a8c4622463e65a71bcd3856131a14eb7edc65c6481a044d9a8d8ab1c

Observation e6e3b6a8-a324-4cb7-8cf9-a1491fc6cddf · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.879544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.879544Z digest=sha256:22657c3ab21f7ed54ddca7699bd4c9565ff3fe3cb80e43bf0a2732b6fe6a4cae

Observation 0a8af426-b7af-486d-83f2-9fa34e5d347a · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair 4d gaussian splatting for real-time dynamic scene render- ing

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.209950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.883408Z digest=sha256:eb2a278bb0073e8b9d7e190286c4b157fe84ac64abaec688f41c39280b6ff342

Observation fd0326aa-d741-438e-b35e-ab1bcc71f2ef · outbound

This paper cites Gmflow: Learning optical flow via global matching.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Gmflow: Learning optical flow via global matching

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.199056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.886847Z digest=sha256:7715363ba38ad67f39f409add377f2f699d28ce807bf3ebee7890a905601f158

Observation 37bc9181-4a0c-48ec-8d14-9a30fb2c11d6 · outbound

This paper cites Unifying flow, stereo and depth estimation.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Unifying flow, stereo and depth estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.188106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.890475Z digest=sha256:a080bb63612999122fa6241fc363c3db76a70eb0f31e92017f5f9d2cf946747b

Observation 3eab7f35-138d-449d-8003-a51431117e43 · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.895313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.895313Z digest=sha256:2e0e4fede84a8f39d00c4912c6bcad7f69bc576c07bc8cd79f765972f57530d3

Observation 4044dbd1-5aea-4e5f-8756-5f20c06317fd · outbound

This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.898923Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.898923Z digest=sha256:560e30b2a0115ca71fec9570796498055a83d25bc0e7e14a5136effcebf04d30

Observation aeb9d4b7-1dec-46db-8364-a869a259242c · outbound

This paper cites Learning to seg- ment rigid motions from two frames.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Learning to seg- ment rigid motions from two frames

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:00:52.177043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:00:51.902496Z digest=sha256:822cb962804262ed1d81fe4f8f88356d0533672e6fb247e3bd7b1de7762990d8

Observation 2c25d783-8b22-4dd7-b194-f426049bd1f4 · outbound

This paper cites Depth Anything V2.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Depth Anything V2

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.905990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.905990Z digest=sha256:9fc0c4153685c5ddef6b58b537a3a4ee74574b438e347d8517c0f706b324f9ee

Observation fcd6ce2e-51df-48af-b362-3128cb5dea50 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.910411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.910411Z digest=sha256:dfa6db158691519a6e68e5d132407dcd40fb410ab2d268773b3b70d71e45490b

Observation f74e2f35-4b16-4f40-ada2-48f71d7a96ea · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Gs-lrm: Large recon- struction model for 3d gaussian splatting

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.914660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.914660Z digest=sha256:18bc1c16ad9abd21073297efb84571bf6a8babaa9490f8c9de1487c8a74a25a7

Observation 4acd9910-676a-4dc6-9de5-7678ddea4e3a · outbound

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

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair The unreasonable effectiveness of deep features as a perceptual metric

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.918519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.918519Z digest=sha256:d5ab52c90b70e77adb039536e680c208932ed179ec754bcdbb97c5bc193b79a3

Observation e726b021-a4b1-417a-892c-ca29e05e8062 · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.922147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.922147Z digest=sha256:e69e7eec56a7c94a8d9228ad8e7110f9c220d0deafcb3cf3bad7a923bdb4b827

Observation a14b4db1-4938-4a80-9544-9cb70fb8db33 · outbound

This paper cites On the continuity of rotation representations in neural networks.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair On the continuity of rotation representations in neural networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.925953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.925953Z digest=sha256:1988b3c2acac47d354ae3b4218c3122fcb040786c6b420e7ad293e00df5d02b3

Observation cf632d99-e78b-4f45-a818-aceafdf31283 · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair Fsgs: Real-time few-shot view synthesis using gaussian splatting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T05:00:51.929783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:00:51.929783Z digest=sha256:d10177789657f2d94ebfb7e46d5b4e47473c95ff523157eacc330b790daa3b71

Pith citing papers

Observation ce6b554a-61e3-473b-8047-a4e0439ab55f · inbound

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting cites this paper.

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:30:43.216631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:30:41.904768Z digest=sha256:abe9c890dca6840323cb04777adfb9810d7c8cef851fc01086b59506cde7e2a6