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Paper Citation Record · LEDGER

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models

As of 3 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 2 inbound Pith citation observations for arXiv:2511.00503.

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

pith.paper-citation-record.v1
2511.00503 v2

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:59:23.928725Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:34:29.328740Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T15:42:38.216032Z

Reference resolution

100 of 116 outbound references displayed

  • verified exact45
  • verified fuzzy53
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7927a99f-5709-482a-a33d-1d08441229dd · outbound

This paper cites write newline.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models write newline

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.442018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:ff0e5bdb55d78ffb87b50ed1c760701577ba51d8102e4487b31130704027a585

Observation 26d35a40-550d-4192-a93d-4c9d3536b952 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.496513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:d244b3c8ec2abd235e5cc15543ac0ad91ff1c57fc32aec1c68cf71592da3b6b7

Observation 0408e8b3-c9ba-44bd-a6e1-0d62e8502b21 · outbound

This paper cites AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.600936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:b2063d3f98d6e796dd5ef37e954e5d4d3b7e130d80afe553e0dd580d6cbeb49b

Observation ce08deb3-07ef-4448-adaf-5f60f743dcee · outbound

This paper cites CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.661907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:aa0e016d4918ed3dbaf5d2ceba6d6b26efb4cd098e2ba72e1fb0820d201b2891

Observation a64f4a9b-017f-42f2-8040-883f4e1bc8d6 · outbound

This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.487138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:f0cd8d256a9e055adeaaf9ef13025ba789fac1317b558bda5262e2a664912802

Observation 3387155c-b598-49e4-8478-2dae044f2a7c · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.492500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:98db3fcf274f554e7cf8dbbcafa4f047020b0e8ff0bfa5cbcf73916385a93ad9

Observation f14f894a-3fcf-48d8-bd25-6f97cf980ec4 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.634586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:679f4f07b0ed4a02445e0b6615fac9daf2ba8446e600f30bfbad96d3e1953d52

Observation ec5a360f-69ed-4ebc-8286-3f83d7797b5f · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Align your latents: High-resolution video synthesis with latent diffusion models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.826749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:d5a2129d427e3c45c4b32dd6ea62921b89b4b6423a73ab5532f24dca8119fe0e

Observation e243a2f0-a828-4d62-ad25-fe5868951eed · outbound

This paper cites Virtual KITTI 2.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Virtual KITTI 2

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.501466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e1670a4b937482d0116123cc8083f16fa166119df86b42c70dd59b9391210542

Observation 01113711-6cb7-4420-a602-a7b4b462eba8 · outbound

This paper cites Video depth anything: Consistent depth estimation for super-long videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Video depth anything: Consistent depth estimation for super-long videos

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.446750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:0598f7003d6cabe4fe464556ae74752b4b0b7dd5a2307980c7dcdbca7bc11f87

Observation fe170c9f-ebf9-4d08-8cca-948bc239b4f6 · outbound

This paper cites 4DNeX: Feed-Forward 4D Generative Modeling Made Easy.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.443968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:9d227cda1af905f1780ace7a15ccc215bfbcf4ca8366bf15fb3a5694f661db1c

Observation 43965338-6f6f-49cf-b3ea-01fd541b674e · outbound

This paper cites DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.667731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:d1c52e0b1dcf8d065902bb3fe87c0ca4d6c28113858c4bf03466a2babbd9f7fa

Observation dde266df-185d-451b-a48e-ef3e8f3d2fc2 · outbound

This paper cites Dreamscene4d: Dynamic multi-object scene generation from monocular videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Dreamscene4d: Dynamic multi-object scene generation from monocular videos

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.383999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:b537c249e971e0e57c401779fecf0fec9114047e8a34dbc4887e4d776c2a9230

Observation 8ddcc9b9-9e15-4292-99de-74ef868278d9 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.605847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:79d1da08162a43e1d946a2fd8965b0d0c2061f10039b1752684a6fe89f495c0e

Observation c2e43cb9-e3a3-4a5e-8730-80dc4e3917e7 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.387551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:9034d09efb89ed807540685eb06982ad508956ce1b74d6270755e76d3747997d

Observation 7c43e3ce-1380-4ae5-bd6f-eef62b422472 · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Structure and content-guided video synthesis with diffusion models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.402244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:4690dbe752ca0793b51b0d149e77d8469b51bc734c9e4c72c44aeaa3c2cb6088

Observation 75eaacc6-c19c-4436-9138-6b9e5573d454 · outbound

This paper cites GraphDreamer : Compositional 3D scene synthesis from scene graphs.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models GraphDreamer : Compositional 3D scene synthesis from scene graphs

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.379955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:3a3ee5989784426484708ca7e68d82ca313d3307c90116c1d68c44e627ac5a7d

Observation 2ab72c4d-706b-4830-9944-5dc78046f7df · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.453724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:9aa6194aca34ce77361b55e2c34f516ca0b56c92f0494acfe0096c8865bce923

Observation 3816882d-7b5c-46c8-8812-1b48c54af196 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.516822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:96170b63dbb613e1389d19ae24e3d8637f93c07ab15698044374cf56fc61921d

Observation 0e636d6f-460c-4ae1-bc09-f40140c02b8c · outbound

This paper cites CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.629671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1eaa9774b3028b7c1113d59fd2f81ec565775dc9abeca67dad532cb1adf2bb26

Observation 3d05de0e-292a-42d6-87f1-9ad0aba75c4f · outbound

This paper cites Denoising diffusion probabilistic models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Denoising diffusion probabilistic models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.865573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:f10f235ab858b1bbcea6364f4f8625bc9e437822ee9259687881d8fbf0c92adc

Observation 1cc7da8b-c3a7-4bd3-8ae4-1e1f1619824f · outbound

This paper cites Video diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Video diffusion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.786740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:fa0346c56030456e01bb10e9201e5df64d70e60eb8ee7e616e94584392354871

Observation e110fc33-ca41-48ac-bfd3-ef46610f876e · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Lora: Low-rank adaptation of large language models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.881278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:7b600e1c0931f23444cfbd3072f96c9bfed2f7e2fd7d618911b9e3d011752928

Observation 8fb61359-9730-47d0-8c11-b52ef3ec1fb8 · outbound

This paper cites Pl \"u cker coordinates for lines in the space.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Pl \"u cker coordinates for lines in the space

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.851285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:b8ba1096b296f49f40ed0fb3c6fafe783f5e7370b1863f88f929d6326b9eac0b

Observation 48e57958-3ee4-48fb-befc-afb3144fda94 · outbound

This paper cites Stereo4d: Learning how things move in 3d from internet stereo videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Stereo4d: Learning how things move in 3d from internet stereo videos

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.769774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:da418fd900a9bec15e0b92a6bbb62a70396c81eb66fee5dee5c2f2d44185d5b1

Observation 46f6148e-8efb-45fd-b2cf-3af21b35a607 · outbound

This paper cites Dynamicstereo: Consistent dynamic depth from stereo videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Dynamicstereo: Consistent dynamic depth from stereo videos

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.766526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e31e4caa143c534e185702d3c73426b6689f830b3f5fa4c9c8f8d059299ef5b7

Observation 4c7dda07-6e90-463c-8a8c-ba5accb2e205 · outbound

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

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 3d gaussian splatting for real-time radiance field rendering

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.863857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1cee6ea09704ffa8fac4f2ade5d3001e7759fdf3c9ac3c090db713c22f1382bf

Observation 1a3c9f2b-32e0-418b-bc70-a69df77bb5e8 · outbound

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

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 3d gaussian splatting for real-time radiance field rendering

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.856539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:02bffcd584f79fa8a979c4f50b0ce7c9855591084e5e0a5fe0675ad6f1a26d98

Observation 022e8960-2a9d-4519-a08d-caa62fe52d0e · outbound

This paper cites MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.482861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:70c2b08440de919527cad132bff422f864e6b3febd7fb140bb602c49340fce8c

Observation 870262c9-fbb2-4da1-a76e-a31f2cae5231 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Grounding Image Matching in 3D with MASt3R

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.614674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:44a4fdab046ae7e023e944224efd7ddfbc4b9a0f61f03fff485690dbf6b9269d

Observation 368034dc-5617-4353-96f1-c2869c7daeb0 · outbound

This paper cites 4K4DGen: Panoramic 4D Generation at 4K Resolution.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4K4DGen: Panoramic 4D Generation at 4K Resolution

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.619452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:fe52ad1f62b4a5d14392b744059591264775cbc034749cd1429fc71e3bc39b97

Observation a83dbfc7-9de2-4998-a471-719a8ba70e01 · outbound

This paper cites 4k4dgen: Panoramic 4d generation at 4k resolution.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4k4dgen: Panoramic 4d generation at 4k resolution

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.842100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:34d9876ee14b9c4484d1eba1db421ddd69901bfe4cb31c82ef91248262186788

Observation 91f3faf8-3c42-43e4-be46-52e534f86c02 · outbound

This paper cites Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.726070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:7780220b0e9bbf871dffe76726f62515a14f8978660e456dd1a73bea745fea5e

Observation 09d0bbba-3d01-4acc-8988-c8f1dc67b7f4 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Gligen: Open-set grounded text-to-image generation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.773380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:96a2fe28a069d0e1c9c4f1bb2d7f3c6d1c7eafc0db1cbd78b6ca1cb1800bea19

Observation 8b691a0f-f418-45da-8a7d-f6244694ac60 · outbound

This paper cites Dynibar: Neural dynamic image-based rendering.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Dynibar: Neural dynamic image-based rendering

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.885353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:b8e1ae7901868f762dfb1c8fcca0ed1c6eba66a65d5b5d76b2a5891b3400d7cd

Observation 02f70d7b-c33f-4a4e-b225-8b3f2cd13785 · outbound

This paper cites Megasam: Accurate, fast, and robust structure and motion from casual dynamic videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Megasam: Accurate, fast, and robust structure and motion from casual dynamic videos

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.810422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:de4b8222c61bd774049a4c6310c8a03c5cefff79e0ea16d0e07e36a8a648d0fa

Observation b211fd67-6299-402f-8351-48f3740567c3 · outbound

This paper cites Wonderland: Navigating 3D Scenes from a Single Image.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Wonderland: Navigating 3D Scenes from a Single Image

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.624496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cc2ed821ed026b47c5efd76c68ba6e9f77d4c416f0eb9545b66896319581ba35

Observation 1c28f6a7-98e4-48c1-9c40-7b59c95840ac · outbound

This paper cites Plataniotis, Sergey Tulyakov, and Jian Ren.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Plataniotis, Sergey Tulyakov, and Jian Ren

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.831598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:ee3d0f16b2871f135e202caced1f3a64d2a828665f350b308f569fc47b4c9ba8

Observation 3ec43e5e-3e5c-4e5b-bd70-7e71e28ddc12 · outbound

This paper cites Feed- Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos , December 2024 c.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Feed- Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos , December 2024 c

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.782081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:8d04fe16a3af0f747cf8f7e7e1a7f65cf0b91b5e792b25df51132b6c21e25c2d

Observation 973acf80-ea03-4d9b-8f45-97dce9a4131b · outbound

This paper cites Feed-forward bullet-time reconstruction of dynamic scenes from monocular videos.arXiv preprint arXiv:2412.03526.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Feed-forward bullet-time reconstruction of dynamic scenes from monocular videos.arXiv preprint arXiv:2412.03526

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.577390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:9c2ccee532f3e5b6357830c332dff98c3f684d0a37ee315987ea9e29d3f3fff0

Observation 2150c4b6-c8bd-406e-8df2-0e664e396c78 · outbound

This paper cites Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.852939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:5b9f98a77c262931f7e741c049e766b92571fc8e2873f0efe74f60a289500af7

Observation abc11a7a-c9bc-48ba-a7dd-b5142a249d16 · outbound

This paper cites InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.586727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:fbe3447668ab5ec2c97db7a5d7038570901432f51c34b1e2730f94f2d6060371

Observation 43186489-5d21-4922-8a09-712185706347 · outbound

This paper cites InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.596674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:f95cb9e0fcaa09d45a94aed200723a98d8e656d726ebed05c173a354005bc0ef

Observation f1792f48-cce1-41bc-ab46-0efde3156d27 · outbound

This paper cites DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.563943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:297a2670b688742bc1c7a9497cc8e93dd79ebfce35f3e742ad7912c74f14d421

Observation d87edaae-534f-459c-9f98-6e7d33b5dbf1 · outbound

This paper cites Gaussian-flow: 4d reconstruction with dynamic 3d gaussian particle.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Gaussian-flow: 4d reconstruction with dynamic 3d gaussian particle

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.869744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:33c609ca7b4a353357ff48337c63204883bd76c2eb885983a0cdfe32b80bdf96

Observation cc66b6bb-b7f1-4345-be0f-d899245eef00 · outbound

This paper cites PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.572893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2e89aff5cf7d3bab4589b6d485eb2c8f7c26e2ddad6834ff5a2a7bd3d16b7ee9

Observation 9167727f-9830-4e28-adf4-b7652548747d · outbound

This paper cites OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.559600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:0fcf7a035b918281121688854dbb7a46528ef4036bd1dbb2cb14c1a11601e6ae

Observation 564474f5-3544-4bc8-b606-40e3388bc51d · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.849105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:654c506847945fe8d794a42e73c3557164424ab10e468b64444d9b0c17e7bafb

Observation 48a51be1-157c-430c-9398-0537df4f5795 · outbound

This paper cites Flow matching for generative modeling.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Flow matching for generative modeling

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.813056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:bb4fe955f212abd9e3cec9d79a55e2e2cd0564360df31b35f9a9208514fe22a8

Observation 5254776d-bffe-4324-8653-f1861d5d14dc · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.555261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2f2ce68157c2f8fa165bd7765a507dd1df2b3695804f70f98622d4e480b6223c

Observation 408ae6f4-169c-4418-abb2-99abbdcbd265 · outbound

This paper cites Decoupled weight decay regularization.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Decoupled weight decay regularization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.751896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cfa28d5b3a41700c4cc13238bfb3e83aab5721b855675d70c7e1e063ce6ac1d1

Observation 29197bc9-fa65-400c-962c-d774b49da713 · outbound

This paper cites Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.837330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:6c27603b3b00c2d1c958cf73421c2e1938a7ff214e423ce7d326a89cd333d0b0

Observation 1966b097-fc58-4115-af95-0a35e7950a31 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.847003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cf7e5495fd9d27cec7a386af9371b7b18ef78e6b736e049d8f0ed214792d4ec1

Observation d891a1be-d3af-46b7-9733-917669cff72b · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.788656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:71cfcc16b19f4d58a9563f1433079e875a86cf00c976d83e5cf326b5bdc30c8c

Observation d5d45b2a-2b1a-41ec-bb6c-d1a510257759 · outbound

This paper cites u ller, Katja Schwarz, Barbara R \.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models u ller, Katja Schwarz, Barbara R \

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.825692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cd6bf24ce960dc12f6b246f52d924a2e66af68f91de1f9c4d7590841fae693e9

Observation f8fb1a83-acef-479f-a08f-2d2b8d26c3f7 · outbound

This paper cites Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.537569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:af5feedb8e832cd09fdf711cc7ca4d77b8343eef378cc17fbdeac33578e0f877

Observation 36bf1b24-fa5d-4cfb-a86a-3fd4cbe42758 · outbound

This paper cites MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.542006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:a04b480c1ee2a784bcabe29e67010d115d59b85da437ee0a5e3b8f8830e707fa

Observation 7484175f-ecb3-486f-9739-55003a1202e2 · outbound

This paper cites HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.524333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e1fc78951e3b42cb995fc7b2c4e0807b0388ae3896f25adfb9feda1257f94dc7

Observation 6dce4f5e-badc-4e12-a7cc-a947710e8092 · outbound

This paper cites VASE: Object-Centric Appearance and Shape Manipulation of Real Videos.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models VASE: Object-Centric Appearance and Shape Manipulation of Real Videos

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.448769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cece3cb50ea08da76dffc85686e62f32ae5efe4202a91f3e0e1df333dc183608

Observation 6ada3ad5-0161-4357-9bcd-ef0104b56f3e · outbound

This paper cites Compositional 3D scene generation using locally conditioned diffusion.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Compositional 3D scene generation using locally conditioned diffusion

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.860103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:fba44f38acdf04f34057726e12e8bc9c3c654fe78f601d38b926158b184388f7

Observation eff2cec1-3ba2-4867-991c-44a1e23a1be1 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Learning transferable visual models from natural language supervision

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.836614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:8e73024f543929d907502e7364ff2c0313fb7e2f8d7f94e24faf90d09ff5ee7b

Observation 3c866ad3-142a-4663-9628-cfa105c2c4e0 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.874218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1b56ff756fc9eb5faf1984b613dc284d5febb94a2be8d06aa6d5b7bef971ae43

Observation 73f31eca-0509-45b8-9206-c1af9e660a25 · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera control.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Gen3c: 3d-informed world-consistent video generation with precise camera control

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.810080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:30ae36a675d9fe7e301552c570b7c9a2da4849dabbf3b4bfa384b29d33cbd1d4

Observation bcf792a4-f529-434b-bacb-2083ab6b48b6 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models High-resolution image synthesis with latent diffusion models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.816339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1e0f8f804a78b51e1e075131b9b3919a15daaad4c11f209306b2e5811f0bc309

Observation 05dba755-383b-4765-bfcc-e21d93973a95 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models High-resolution image synthesis with latent diffusion models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.860771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e0ddfd899763b2428101368cdb3ae07ffa9057c29ba177a1bb8d801afc377286

Observation 9fcd3db9-8ee5-4a95-879a-440d93fb011c · outbound

This paper cites Structure-from-motion revisited.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Structure-from-motion revisited

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.803375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2dbf56b68f2cff229819a0b487dd84c29d40feb6f614e0ac5b2884f7d0f0a81c

Observation 74ddcdd7-8050-4c87-bcca-c24c5077d0d3 · outbound

This paper cites CLIP+MLP Aesthetic Score Predictor.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CLIP+MLP Aesthetic Score Predictor

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.799215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:a39d317e10e6a52123fdef1acd7f9bdeb25d81616b61724e00cd636ae930e00d

Observation fb2cffc8-b7fc-41c7-9dfa-5d8f2f0884d8 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.803096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:67bbdfe7d7f5603e98cfc24a6c9f06e196f2a247ba1f7002d8967233fcd59e76

Observation 757db236-f383-4d7c-9044-5dc169783a9f · outbound

This paper cites Seeing World Dynamics in a Nutshell.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Seeing World Dynamics in a Nutshell

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.609979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:699eb852c315196f3d3466bfe91016771e1916cb221c4a94c237712274ac7d57

Observation 174a002e-4b76-49a3-b681-cc07a08f3eb7 · outbound

This paper cites Light field networks: Neural scene representations with single-evaluation rendering.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Light field networks: Neural scene representations with single-evaluation rendering

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.391492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:02cd036c82ad3245d2215e9e62850844c0d5a1b31331cfc08f776fef6470968a

Observation 2b56769d-c1cb-46aa-b3fe-3a34cd75bc41 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models A benchmark for the evaluation of rgb-d slam systems

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.394957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:062dce72ec09e6c8fc4dfce21c0d3f10ae5c6c31505559ffadf9452acb8eab7b

Observation 734942c1-68a5-4079-8643-9ed039db3bb6 · outbound

This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.437290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:4b597670670b7c2524380f3fae120304d51e5cf3cd826680052f482d42e60cd2

Observation a9c05d78-5b36-4e67-ac89-4aa8c656dec9 · outbound

This paper cites Splatter a Video: Video Gaussian Representation for Versatile Processing.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Splatter a Video: Video Gaussian Representation for Versatile Processing

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.699799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e997ca055d685abd0a34337b55f95f46d3752c1340b4dbf26b881ace72f109e0

Observation 6e2283a1-25af-4b60-8595-4061d1ee0a0f · outbound

This paper cites Splatter a video: Video gaussian representation for versatile processing.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Splatter a video: Video gaussian representation for versatile processing

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.833065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:f48524d9f775027f8f90548dffc45c706679a3724a8194260acf9be56f0039b9

Observation db46bbbb-c787-4dc4-b170-c3b57e62d994 · outbound

This paper cites Bolt3d: Generating 3d scenes in seconds.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Bolt3d: Generating 3d scenes in seconds

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.712669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:c0a6b330b746b3eadffbfd08f6c8c06a09996897c62e0f520f163e04adfe25bb

Observation 071e66ef-f993-47ed-9f35-89d16f95d4c3 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.718086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:bd84083bc039f56b90597ba256a53226e1e2ccd2aabef4bc5c5fdb10157e4547

Observation 407abba8-6527-49b9-9e82-3940b651d7c4 · outbound

This paper cites Fvd: A new metric for video generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Fvd: A new metric for video generation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.806483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:c4d2e4cc301d6eee6589eacda2fa0661b0763c1e7f655dfc5014bd9c5f2e54d4

Observation 4170909e-7e74-4386-a07f-e62973fde124 · outbound

This paper cites CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.693969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2ee328f061f6e69cfd9463161b4f0f27b9251b8e93e5b6b0890c9a7613364b71

Observation e0dd7be5-db3d-43a0-bf72-2aad8ef45da0 · outbound

This paper cites 4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.722672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:826c6087a783c5530fd37c6588d1971995dcf506464d83730c84cebb5bac1cd0

Observation f808afb6-0364-409b-8327-73ccf0b1aa32 · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models VGGT: Visual Geometry Grounded Transformer

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.706494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e5766f88973405415050fc19c733f02ca6bc2a5ee7c5ec6899a7da25ffe3cb17

Observation 11f79d3f-80df-4729-9094-f254e7d1a060 · outbound

This paper cites Shape of motion: 4d reconstruction from a single video.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Shape of motion: 4d reconstruction from a single video

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.375906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:82048a0d42e6c8c8cd89e07a2398d7dbb3fdd17f66a7271061eb17bc77b2f121

Observation dfd15fa5-2e60-40a1-b392-6d3f11759d41 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Tartanair: A dataset to push the limits of visual slam

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.398362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:153fac50930728f2f1fee4b342099a789264bef300d2a815a0dbeed935dae798

Observation 8b10ae8b-207a-4219-b278-6bba7b74b6aa · outbound

This paper cites Video4dgen: Enhancing video and 4d generation through mutual optimization.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Video4dgen: Enhancing video and 4d generation through mutual optimization

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.783694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:87838ebda268ace9e0952c81b1131347828c15b84146536764d3f045b6465531

Observation 38e3e4dc-ede5-4483-8df9-740620fc92a7 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Motionctrl: A unified and flexible motion controller for video generation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:00:40.454052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:664b8a49d3d259c86e7d9cffc3fb684d6ec2754000ef1d543d20bb4b9efa13d1

Observation 6e3cb51e-f8c5-479a-8fe2-ee740d8be818 · outbound

This paper cites latentsplat: Autoencoding variational gaussians for fast generalizable 3d reconstruction.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models latentsplat: Autoencoding variational gaussians for fast generalizable 3d reconstruction

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.813400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1f4fbbe46a302e1e4d29de53e67231f57180a718f8d09918e6224ffd3f5b989f

Observation 7e68dba2-4b2e-48cc-b7fd-13ea0f102502 · outbound

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

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4d gaussian splatting for real-time dynamic scene rendering

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.771759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:1d8c60b3a68fcb1ee6f7f930d5568d6f734a71497dbd16915b2b8fcdb1246e6c

Observation 1f0f968b-d2af-4a3f-9eeb-f3bd91d4b89c · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.656209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:cc033afc788e73da6bcfba38ed80e942f2fe5bdfcb4d1669611db3be8b35ee1e

Observation b7b97dd8-163a-4ae7-94c2-2ceb1dea00d7 · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.581924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:da701e1dcf5693fbe5889743812e2021c7e70882718b3a3ac6d19953f1c7b02e

Observation c48a7156-6eb4-420d-b838-b5ca892aab6b · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.673546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:3f6848ba41446814bdeb97e6da87ca53eae090089adfa9bff8e94b93f44c07c2

Observation 1cc67f2f-81b5-4349-a4dd-a5b9df4975ef · outbound

This paper cites DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.568065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:0c4251050959f8dd6d0c1d4b19cf661247adaee9346a257ac2a78aa44e9b7b23

Observation e4629cec-384e-4823-8fc6-f9cb298019db · outbound

This paper cites ToonCrafter: Generative Cartoon Interpolation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models ToonCrafter: Generative Cartoon Interpolation

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.591986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:dc71dcbc6fa0f8310378e8c7fc90b050c8417ea2a27f6d37162528ec2f3f25c7

Observation da696b26-b074-4d5b-9665-77d56f172806 · outbound

This paper cites Make-your-video: Customized video generation using textual and structural guidance.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Make-your-video: Customized video generation using textual and structural guidance

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.760449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2720cb3bd47117633ec73014f38c6c82292909b55da54977b686cd2fb85740b8

Observation a75b2e6f-a967-4e9d-b36a-46c8b295f49d · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.533339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:d19160ff3501d3b352786a8b3c72ef70d9217410d7b4f3393a00e964b65abe38

Observation f53f45c0-05d0-4fb9-9b48-5670fdc7dd41 · outbound

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

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.528944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:91a96fa2ccdf046c26503282d48f3ec006a26ee57d9116a61fd5e1147819e0d7

Observation 2545b2f4-b569-434a-8c81-49d2989c0a97 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.546045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:719cf2f988929ecbbd42b70c66cb87b5f4e16d3985f483627a6bc4dddd4b5871

Observation 8afad269-40e7-476c-a30c-a1d7866f02b1 · outbound

This paper cites Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.550985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:fde71fe88153c0c73523200da0ff8f9e23c7a190a97fe88d6fabdf6b786a5be2

Observation 8dec91e1-b6ee-4de6-a0cc-c359387026b1 · outbound

This paper cites Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.889367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:8f9c401f328a1a9acf6afe3120b706a80d6e8aa35159e7896a144a4f46bc5a1d

Observation 36c411a3-2cda-4d9c-b864-8e81389c57db · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T02:02:18.820465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:c388c21760febf25c5864784cf63eaefb1c5fcc3c3a68ef464ceed9b098f7d9b

Observation bf2afcb2-d5a9-467a-855b-b60514fdcd34 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:03:58.521687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:330edbca6a6d0ceb0faed92910a6745b0fd9ef2f2a121562a434059cfe52d7e3

Observation da6d8051-f630-45c8-9b4e-0835e7ebcb19 · outbound

This paper cites 4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models 4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.511265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:0b0c65d9ec305bc7f42b12e8c1b85b7c77ad79482531bbaee9a088374b1ac3e8

Pith citing papers

Observation 9e09bfb2-fed2-4b50-b718-cb3c2a3dd32d · inbound

PanoWorld: Geometry-Consistent Panoramic Video World Modeling cites this paper.

PanoWorld: Geometry-Consistent Panoramic Video World Modeling Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models

Reference 16

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DynTrace: Tracking Dynamic Object Evidence for 4D Spatio-Temporal Reasoning in MLLMs cites this paper.

DynTrace: Tracking Dynamic Object Evidence for 4D Spatio-Temporal Reasoning in MLLMs Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models

Reference 31

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no resolver link, observed 2026-08-02T06:34:29.328740Z

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