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Paper Citation Record · LEDGER

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2604.13905.

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

pith.paper-citation-record.v1
2604.13905 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T14:02:36.804191Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved3
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30c6ea38-d605-49e6-94dd-9b51c5b425d8 · outbound

This paper cites Brebin, Loren Carpenter, and Pat Hanrahan.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Brebin, Loren Carpenter, and Pat Hanrahan

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.472397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0c486b67-c449-4ca1-903b-aabc6aac643f · outbound

This paper cites End- to-End Object Detection with Transformers.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias End- to-End Object Detection with Transformers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.469961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:fca6de0832443146661d6f9506cc0f123cde561dd6ebd8cbaf40a667bb9b9b7a

Observation 691b561e-e717-4f5e-a49e-220361e2f884 · outbound

This paper cites Computer display of curved surfaces.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Computer display of curved surfaces

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.475112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:a3e35622666ab9befc14d65986db4b425c50e01085c993af218749d05a7a0e90

Observation fe81267b-5d60-496e-b99f-f916a8626a65 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Objaverse: A Universe of Annotated 3D Objects

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.467121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:d13c580639e85bb3a29c40eae77f13f243893b3017e8ddfba0ec864d331c6b55

Observation beffd8f0-2509-4b2a-8ab1-19dcddb5a4b6 · outbound

This paper cites McHugh, and Vincent Vanhoucke.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias McHugh, and Vincent Vanhoucke

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.427390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:a4be00ef28e1661c7cfa86854a7b63d2fd303d78371ae60d8cd04d5ddf7cd496

Observation 65624e00-3320-4cf5-8e65-df7294a87061 · outbound

This paper cites Haskell and Arun N.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Haskell and Arun N

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.373624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:476754386d710d3bf73e9359132e3fcad97ab2e9959e95c42edf6630354a4382

Observation be618601-10af-4d7a-b672-ef8d270f7820 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.377075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:2da9cd997c01aebb7541c7a088392397919fed9c893e45a3d37d579fe572f21f

Observation 6861f597-6be2-4c11-9329-477cf5c7fb57 · outbound

This paper cites ViewDiff: 3D-Consistent Image Genera- tion with Text-to-Image Models.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias ViewDiff: 3D-Consistent Image Genera- tion with Text-to-Image Models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.445770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:5455acb6ed4e55cfd0b5474be8017e4dfad57a5c4864885ecb68a22e712a9702

Observation 16abddc3-1b95-49cc-8134-1072e51186d1 · outbound

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

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias LRM: Large Reconstruction Model for Single Image to 3D

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.337370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:0efafe21f357c155184bc39934dc36b378d9db27d3cafda668547b46df76d850

Observation 5a1b3572-043e-42ed-9948-1069a7ace286 · outbound

This paper cites Surface reconstruction from un- organized points.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Surface reconstruction from un- organized points

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.345351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:622403cd1e816988e9f05fa6575e1e8fc91c4e0f00ba91de57afd1801d687c0e

Observation 28c058c7-6ed0-4fb5-8392-fac820ba289f · outbound

This paper cites Planning-oriented Autonomous Driving.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Planning-oriented Autonomous Driving

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.383744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:4572947e3d810445aadb42c8144a0d411ac0452c9d579f01b1f9fdc1c3a99f4c

Observation 3c843d71-5bfc-4513-af32-14649e835232 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.336138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:f9f67ef869477c88b17fadc9d8046f3ed2b7baaf2466d1388e62f2f3c9808471

Observation cce388e1-351a-4600-94d7-b7248037da27 · outbound

This paper cites Perceptual Losses for Real-Time Style Transfer and Super-Resolution.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.366884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:1bf120a2bc750f87d57d95a7d8108e41e59579882e3fe4b1ca0821120f57aeb7

Observation 21d69493-1d17-48b4-8c53-8291535aa26c · outbound

This paper cites an unresolved cited work.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-18T16:42:45.313117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:f5a36ccdfd0ca4e4d87f9d65f5bba5d057e73685f235a57c92dadb8cd1fb3e12

Observation 6718b8be-19e2-4c75-9a8c-d13cccd81117 · outbound

This paper cites Gen2sim: Scaling up robot learning in simulation with gen- erative models.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Gen2sim: Scaling up robot learning in simulation with gen- erative models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.320012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:d3b008b65959393bbda8a8ac2d9cfa6fbfdb7e0e5640e9726c76f346e36d492d

Observation 7fe68b14-64ad-4efc-843b-3e2e15253a51 · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.316736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:1e82ccc45c4d528a54a56d502127d7cd307616d06bc61ace0d25ecffee9b910f

Observation 70786d78-4547-428e-baf8-fcc5896f7f16 · outbound

This paper cites Ground- ing Image Matching in 3D with MASt3R.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Ground- ing Image Matching in 3D with MASt3R

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.330332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:8492a00f235eec4e3567faab0fd2adb612247462bdcd23ed30eebdcba2130ede

Observation 18e9b69f-5afb-4ffb-ba8b-131fc9b07040 · outbound

This paper cites LucidDreamer: Towards High- Fidelity Text-to-3D Generation via Interval Score Matching.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias LucidDreamer: Towards High- Fidelity Text-to-3D Generation via Interval Score Matching

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.438944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:57323fe5f6af2879d4dc6b7550f46b0c8eaabdea1d3d9d27cc29c08acca3a7b3

Observation 8de0442d-d15e-44d1-a7db-91571eee42ba · outbound

This paper cites Magic3D: High-Resolution Text-to-3D Content Creation.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Magic3D: High-Resolution Text-to-3D Content Creation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.459292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:995627b3ec03ab38084e68a54158cd38ecf7ef373ef9c119d0669176f9bce959

Observation 7bfb1caa-de1a-474e-a622-221706fa6397 · outbound

This paper cites an unresolved cited work.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-18T16:42:45.435282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:fa8b131dde9da2410987b6324807bd379e3fee8b1cbf074787cdc748ee05ee8b

Observation c78100f7-39d9-4d64-9433-816175e9a12f · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.342422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:987f73ecf79d1d3cd472baabeb6a24308ec085898f33f416b2f359f19bde79dc

Observation f1aea516-a5bb-4fd9-a42a-607cee18c6fd · outbound

This paper cites PETR: Position Embedding Transformation for Multi-view 3D Object Detection.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias PETR: Position Embedding Transformation for Multi-view 3D Object Detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.432734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:fed6b88910b7fe4becb9c50fb73ed89c7f9a09bbef3807a992ec0235574f7d67

Observation c565f34d-955d-484d-b6c6-0addedfc39d0 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Srinivasan, Matthew Tancik, Jonathan T

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.441231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:51d56680bcaf7d0f11e31d83fb8c45f69ddfe966cef9715a40b3e23a617601e6

Observation 2fd63f17-ba75-4e03-a95b-1b435bd6e1b5 · outbound

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

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias DINOv2: Learning Robust Visual Features without Supervision

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.451220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:a674e2f0ab71f03b358a2f3d64a0766ef447090018f92b8c1b31b6c026b28179

Observation e23f2c27-0721-4752-9c36-2055b06f3f14 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Scalable Diffusion Models with Transformers

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.424511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:2df10338e4dc634bc22b96d78c9a1cf27d04e9e7305026451b048a86cbf547fa

Observation 9a86eab0-2595-49d3-9a59-c3a64cf13045 · outbound

This paper cites Barron, and Ben Milden- hall.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Barron, and Ben Milden- hall

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.420163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:109b4654ace1d8393bd1cf4a97d82c529de1f9d6fb0a2e8d04f26032b5a87ed9

Observation 0b49f198-d9b1-4d23-94b8-62dd026e2bfe · outbound

This paper cites Compositing digital images.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Compositing digital images

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.414058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:e86268a768cace846e8df54bd18b8748f5f10145fff17a0063ce0bc35251e637

Observation 09230819-2361-40b7-97f7-9f02f6acab6c · outbound

This paper cites Com- mon Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Com- mon Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.448425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:9f54b5365bf650b13ba5656418358cec1678c3315816f27a9239ac8a3ac204f4

Observation 260dc81f-f8c1-4a4e-860c-74ac3c439c3b · outbound

This paper cites an unresolved cited work.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-18T16:42:45.443248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:c49082b8438e27a558c797755dacc6433f3f560cb9abac7e06cef73b2a78fdcf

Observation 66e9fe7b-d959-4e39-89c4-a1a96a718e30 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias MVDream: Multi-view Diffusion for 3D Generation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.351549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:d9862ed4e140b10109c89b5cbdeb02fdb1beba3724e5b429850c115fb6082a46

Observation 2e080ac0-52e8-41f0-891d-bd14a0e23bad · outbound

This paper cites Scene Representation Networks: Continuous 3D- Structure-Aware Neural Scene Representations.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Scene Representation Networks: Continuous 3D- Structure-Aware Neural Scene Representations

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.306656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:473b4d11d16c8dad60f19ba5fa21c3ed99ba87ea38aa7ee9a67b8a9f87abf1af

Observation 4d2bdadb-77a4-46b5-b7c8-cbb2feee2725 · outbound

This paper cites Toward realistic 3d avatar generation with dy- namic 3d gaussian splatting for ar/vr communication.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Toward realistic 3d avatar generation with dy- namic 3d gaussian splatting for ar/vr communication

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.454120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:a0f7a28b9d51525cc4d095aa9e3aa1a95f460de05d939cefda9d5f123c557a53

Observation 1ef3d349-05d7-4abd-b55e-d53e8bfbb981 · outbound

This paper cites Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.327100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:e054e41d766790d2054a4fcf39c6a1a8275d3831ae3b8328090c1d55136a5894

Observation 3bbd0b50-24b5-4ecf-91c1-02d074e2583e · outbound

This paper cites Splatter Image: Ultra-Fast Single-View 3D Recon- struction.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Splatter Image: Ultra-Fast Single-View 3D Recon- struction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.342706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:22e4a25731746764ab7af1f914194610f8535a9e6f22b41631b6ff50e0771eef

Observation 0f8c72d8-219e-47c7-9faf-7e2403401756 · outbound

This paper cites an unresolved cited work.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Unresolved cited work

Reference 35

Resolution
parse uncertain
raw_fallback, observed 2026-05-18T16:42:45.333363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:b22af081be25cc35f4f46c2ee62628c57649ba0ca07ccf1b45f1efa411cf42c2

Observation 40a5ad1d-7e49-424f-98a8-e6ca95157d8c · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.401007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:e52af9b9455d892a1768a5aacf5e7d2f3d2e826ce4c9ce599204b8cc3b607e81

Observation 2693db64-8bed-4f23-8190-ca26cd17a9b8 · outbound

This paper cites Efros, and Angjoo Kanazawa.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Efros, and Angjoo Kanazawa

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.430046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:a944f49fb95f05baf7fd2dbf08d74df3bfef2c40180987da406b0191e0d99b96

Observation b03090eb-087b-40f3-a9f2-66a44588b49e · outbound

This paper cites DUSt3R: Geometric 3D Vision Made Easy.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias DUSt3R: Geometric 3D Vision Made Easy

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.310139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:1e129da6ea00df2ec3abf9095b4906e3400acebf808715686bfecc504d20d0f6

Observation 55e0b31c-c997-4716-bf7e-e95585736e29 · outbound

This paper cites DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.348296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:5dc79d4624e6e8d7ac209d126d43ff3e7b1745ecdb23bc733f2a6a627b976611

Observation 13721b73-6f81-4149-b14a-1db3ddaa4afe · outbound

This paper cites Bovik, H.R.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Bovik, H.R

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.339887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:386fc9406bd8e09a9b93efcd29e07abe2b061ffb42950f9740e9799a2be2b3d9

Observation cd87b76e-0d2b-420f-aaca-1eb7e317322e · outbound

This paper cites MeshLRM: Large Reconstruction Model for High- Quality Meshes.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias MeshLRM: Large Reconstruction Model for High- Quality Meshes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.461776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:30819e27ecf20838b24615b73d00334daeb63789fcd4ab7cda12a4d2cca8d392

Observation 0860e131-b360-4d13-9497-5a114de1dff0 · outbound

This paper cites Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.358230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:d3ea853d2a12bd454b52d8be6e11dd52cca3009eb720a88656adf7d145f03637

Observation 4d1a2a7c-9c46-4d10-82d4-50b0491a6754 · outbound

This paper cites Holodeck: Language guided gen- eration of 3d embodied ai environments.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Holodeck: Language guided gen- eration of 3d embodied ai environments

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.464452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:e377d308eee6fac29746dbe9de630ff8df7855a6010464b517c429ff4747f28d

Observation 1fa43c30-718f-47f3-ab5f-831f0ffcbf7f · outbound

This paper cites pixelNeRF: Neural Radiance Fields from One or Few Im- ages.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias pixelNeRF: Neural Radiance Fields from One or Few Im- ages

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.408056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:367f3c33ffe2c5e15bd238a21f94b6485a55892eb71d8935e32f21a7a3bab7b7

Observation b5bb9835-4c4a-4eea-8c89-b8654928e1c7 · outbound

This paper cites GS-LRM: Large Re- construction Model for 3D Gaussian Splatting.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias GS-LRM: Large Re- construction Model for 3D Gaussian Splatting

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.389145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:69958b8e3d516f8d4c4759ef0c81d82e71d6bca10e6b99fead8bf7d4acdf1e3e

Observation ff3a4ee7-8acb-4f69-be09-5ae1a159fc08 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Efros, Eli Shecht- man, and Oliver Wang

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:42:45.456579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:0edaedd92d98f6c997af83619874ce9555e44e9c98fae9e40769fb17429e879a

Observation eff08b27-689b-487f-9cbf-ad1bb980063b · outbound

This paper cites Free3D: Consis- tent Novel View Synthesis Without 3D Representation.

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias Free3D: Consis- tent Novel View Synthesis Without 3D Representation

Reference 47

Resolution
malformed identifier
raw_fallback, observed 2026-05-18T16:42:45.394335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:02:36.804191Z digest=sha256:ee8992221f633e8e2dae78c85a1bf6b83e02e87a762bf8a9563d74029a3dd49c

Pith citing papers

No inbound Pith citation observations are available.