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Paper Citation Record · LEDGER

ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2408.16767.

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

pith.paper-citation-record.v1
2408.16767 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:30:04.379791Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T14:33:54.364325Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0501fa1f-c54a-409b-9e7a-19f8d3a9d6a3 · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:37:17.587336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T12:35:19.379364Z digest=sha256:06778ac0d4dfec5413df27fd061f13152cb7a6e3de1e696f8ee6229909077522

Observation 7fe00b15-d00d-42a7-bbe5-6154ada78c42 · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:37:07.362815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T06:36:13.144868Z digest=sha256:da831c34116022e6ff64f60fa9b44d394a80cfffb48db84899846852bbf17857

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

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models cites this paper.

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:e20a8209fef82aa7fb7aa6fef5b83de24942b50be71c9a78eec95ba0140b2314

Observation efb6768d-c958-457d-a93f-b57075ac2e07 · inbound

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation cites this paper.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T18:30:04.379791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:04.379791Z digest=sha256:27737d649be09a0318d21da3d0240325f5c1bf2ea14bf763b4846cd03892803d

Observation ab9da757-dd90-4af3-bdfd-7005199d8e2e · inbound

WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling cites this paper.

WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:29:56.484960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T14:29:56.348733Z digest=sha256:61d63508b97288be95ad128ecc52af4286959405862edba2a5b4d2ca73e74ce1

Observation 510b6529-4e2f-4064-9fc1-b42818e1ab72 · inbound

WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling cites this paper.

WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T16:11:14.868987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:11:14.868987Z digest=sha256:2eca1ebecaa5ffc8dd5f01f9a920becb2e39baec9dba13e9938c1f8db71ef1c2

Observation ca0eb9a3-e024-4ef0-9331-adb88453d2ac · inbound

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles cites this paper.

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:06:42.718368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T22:06:25.617585Z digest=sha256:175fca1649d9b26e45d95910fdcd44b61a9de510fefc2b26ca41a5396748c57a

Observation bc35b95e-2037-4499-84b1-4f59cafa95de · inbound

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles cites this paper.

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T22:57:11.071423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:57:11.071423Z digest=sha256:8046fa31f60d712765ce74005b858cf416705148b4ad612bc06c4ef5bf1a8cc2

Observation 4c8cfda2-339a-4d03-be46-940c150ad8d7 · inbound

Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP cites this paper.

Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-13T23:59:10.664837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:59:10.664837Z digest=sha256:e9a689c142f94f1a5d82ce6e1789c1fadeb252f2fe893686cb36f562f8101046

Observation 80b10e27-9f64-4663-a80c-b0c0b26e9501 · inbound

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis cites this paper.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-13T21:39:45.781509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:05ffe3d0553d37b43fc1e785116ec5827d7fb59ac9b190def59daa10a95c2d12

Observation f50edb64-cff8-489f-bfdc-93f056a1b9ed · inbound

SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization cites this paper.

SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:46:04.052966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:20:04.440192Z digest=sha256:07b49b1a7083ce03812e8418ace96ed6d435b110ad3b33395ffa0543ffd3e30f

Observation d576805b-e29b-4197-a499-35303a743b75 · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:43:15.495965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T11:38:48.194538Z digest=sha256:d64b3fc9af69c96bc31872f5c1adf6f9009478cfddd36a0352b60bfb1b6871d3

Observation 23704bc9-13ac-49c2-99fc-900a88c191c8 · inbound

Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos cites this paper.

Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:10:22.091486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T05:08:07.521840Z digest=sha256:febb3eb2fa70646b31efa7bf122d230afdb63e9609525ce6c1be944d2163d653

Observation c7cb62a1-e082-4de6-8efd-cb258ffa8e96 · inbound

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction cites this paper.

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:24.149610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T04:37:47.777425Z digest=sha256:ac4ce46716bf6e604de8587c3cb51fb3201576989f5174db2c13da7d06f2f2d4

Observation 67092528-e87a-4ffa-a65d-b1f1a1bd2a62 · inbound

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion cites this paper.

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.253164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:46:55.049969Z digest=sha256:63126ab17b88edad782882306cc7a37d22275d2e86914b47a0a83b4c61723f7f

Observation 2aaa08a8-1daf-496c-8238-06da93bc7845 · inbound

Retrieve What's Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation cites this paper.

Retrieve What's Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:17.733060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:11:27.671636Z digest=sha256:360ad3b2b80c5080a853dd86deeb14931103eed392f60c9c9779a6f4be61a0d1

Observation ff5a9aa0-5c0c-464f-a771-dc93dfceb611 · inbound

PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views cites this paper.

PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:52.117115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T05:07:42.790021Z digest=sha256:d640e1b797d7dbdb8c24fce00e7e67a22d481fdec28c6ff218ee887c6e1573da

Observation 779bcce4-a6c3-4dca-a8d0-75b8fe40f1f3 · inbound

PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views cites this paper.

PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T11:51:43.449411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:51:43.449411Z digest=sha256:b8fbbe8edf3ddbf8795d3b02b603cef6af5919ed64bb1faa8bb7ae5dc0e8049c

Observation 43ce01ad-fec5-4608-b715-a11562acc7b4 · inbound

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation cites this paper.

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:18.628630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T06:13:11.417876Z digest=sha256:8a6dc86a31dd65794f9c37ae7a3f14bbace63148eb1a33dc27de37a567505d21

Observation e51c31cd-74e5-4487-b443-017cd9adbc15 · inbound

PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space cites this paper.

PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-07T14:33:54.365614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-07T14:29:23.795094Z digest=sha256:7e46e7eded990859dfae9b20c3e2285bc0d5b93495d94c78552ad849eaa0311c

Observation edaf7c8a-d22d-4669-8187-be1b461e815d · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T17:44:56.210985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:44:56.210985Z digest=sha256:d3f2e6d4d4ea116394b7ca7668e98a33b443c82dddf1dc7472291543a7cde1fd

Observation b5f1f9ae-2869-464e-aa82-384dff7f99f0 · inbound

Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models cites this paper.

Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T13:27:15.174611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:27:15.174611Z digest=sha256:f4869cd635b8ec42865e330110982b80c71ef5060e31ea8f3dbdaef82813d914