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Paper Citation Record · LEDGER

Latent Radiance Fields with 3D-aware 2D Representations

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.09613.

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

pith.paper-citation-record.v1
2502.09613 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:03.371933Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2d5f42b-02ed-49ca-9071-e74d6a57acb1 · outbound

This paper cites The ability to remain consistency in large view difference is particularly necessary for the outdoor unbounded reconstruction.

Latent Radiance Fields with 3D-aware 2D Representations The ability to remain consistency in large view difference is particularly necessary for the outdoor unbounded reconstruction

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:03.551708Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.368700Z digest=sha256:e88f46136624c4ceb7936172eb36e1d44d2ff3f5198a621337c54584d6376e1d

Observation 8d51140c-f4d8-4698-a15e-ece74eea1bd1 · outbound

This paper cites Semantic abstraction: Open-world 3D scene understanding from 2D vision-language models.

Latent Radiance Fields with 3D-aware 2D Representations Semantic abstraction: Open-world 3D scene understanding from 2D vision-language models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:03.579085Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.315867Z digest=sha256:eeff4c3cf3963b7b39db4574ce35a183cc5a342aadb90b65f0dd0cd514b23e36

Observation fcdcbd9f-ed7d-4cf3-895f-094ddcf57ef5 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Latent Radiance Fields with 3D-aware 2D Representations Masked Autoencoders Are Scalable Vision Learners

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.319250Z digest=sha256:1539b6f146a1118c2ac97e4d402a81919f1ab4817c8f35f96ed95832f513a908

Observation 836086e0-79a3-4e89-a0bf-5e6578bdf53e · outbound

This paper cites Auto-Encoding Variational Bayes.

Latent Radiance Fields with 3D-aware 2D Representations Auto-Encoding Variational Bayes

Reference 7

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no resolver link, observed 2026-08-07T20:56:03.322747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.322747Z digest=sha256:447886f2a71a87f52a7342889bcaf88675c6b959848597b45b2fe28a5f747f16

Observation e9e39908-0781-47d7-8260-47cd9d680530 · outbound

This paper cites Decomposing NeRF for Editing via Feature Field Distillation.

Latent Radiance Fields with 3D-aware 2D Representations Decomposing NeRF for Editing via Feature Field Distillation

Reference 9

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unresolved
no resolver link, observed 2026-08-07T20:56:03.329819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.329819Z digest=sha256:96efee24fed85b245249fdf845dc39ad68fbc68eeb93ec0dd1c08c3821b63276

Observation 4f9c2a44-1dc6-4a80-808a-206195ef42c8 · outbound

This paper cites Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures.

Latent Radiance Fields with 3D-aware 2D Representations Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Reference 10

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unresolved
no resolver link, observed 2026-08-07T20:56:03.333137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.333137Z digest=sha256:c4c0c95ade7b688bc6b45e4818887529ed687b580d6102da58f9f20d63f99f0d

Observation f8302a34-7265-4739-8458-945e854640c0 · outbound

This paper cites Text2Mesh: Text-Driven Neural Stylization for Meshes.

Latent Radiance Fields with 3D-aware 2D Representations Text2Mesh: Text-Driven Neural Stylization for Meshes

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.336365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.336365Z digest=sha256:88a156a04edebc389b85fa911a673184cb4484e09014822d0922d5d79837a42c

Observation 676761b1-e80f-457a-b368-877bd9296668 · outbound

This paper cites ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF.

Latent Radiance Fields with 3D-aware 2D Representations ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:56:03.450710Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.342994Z digest=sha256:c9d0429aaf15470f8f84cd1b34532f4cb9b23e19308d2f2fef5b25ae8aac25f7

Observation d46e288e-8d35-4fe4-9232-d52ce8176c5a · outbound

This paper cites LangSplat: 3D Language Gaussian Splatting.

Latent Radiance Fields with 3D-aware 2D Representations LangSplat: 3D Language Gaussian Splatting

Reference 14

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unresolved
no resolver link, observed 2026-08-07T20:56:03.346229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.346229Z digest=sha256:886ba29255674d60607f77f12c5dc15a23c1aa3d11dce2e8b14f7fd598c0d3a7

Observation 44c7cd37-ca64-4daa-beba-c523a212eca2 · outbound

This paper cites LDM3D: Latent Diffusion Model for 3D.

Latent Radiance Fields with 3D-aware 2D Representations LDM3D: Latent Diffusion Model for 3D

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.352488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.352488Z digest=sha256:5121da0d64e72a319d4244a78e3ea3fca6ab144d521cfdd41311738241c742f1

Observation b5fb3320-d06a-4167-acc7-2a529b612d1b · outbound

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

Latent Radiance Fields with 3D-aware 2D Representations DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 17

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no resolver link, observed 2026-08-07T20:56:03.355924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.355924Z digest=sha256:37637074319326135ec19126265c67b327429b71eb14f750df44b2db39d47e47

Observation 2f728b6a-6134-4895-b9e4-11f97a9c7cc5 · outbound

This paper cites ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.

Latent Radiance Fields with 3D-aware 2D Representations ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.358991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.358991Z digest=sha256:92c078def759a6351eaf6eb8f96f81dfd6f8f4afef226db0ee02cd18304ec767

Observation f7516cc2-6d64-476f-bf4e-f97588324943 · outbound

This paper cites an unresolved cited work.

Latent Radiance Fields with 3D-aware 2D Representations Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:56:03.542235Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.371933Z digest=sha256:b4a6ed5fc8cf30d8cd31b05044ae7c775b90fbf99c18958942b8ef9f236b4ad2

Observation 2e481c7d-316d-430d-b88f-69447103f518 · outbound

This paper cites After obtaining Eij, the APE is calculated as: AP Eij = ∥Eij − I4×4∥F , (12) where I4×4 is the identity matrix F and represents the Frobenius norm.

Latent Radiance Fields with 3D-aware 2D Representations After obtaining Eij, the APE is calculated as: AP Eij = ∥Eij − I4×4∥F , (12) where I4×4 is the identity matrix F and represents the Frobenius norm

Reference 2001

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:03.560926Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.365501Z digest=sha256:00c0ddb8923e6c7ea7908dada898e561b9bbcd341f77e6f45612b78085d5c4fe

Observation 28295cb5-7374-4d4b-b050-4aa2fd766684 · outbound

This paper cites Decomposing nerf for editing via feature field distillation.

Latent Radiance Fields with 3D-aware 2D Representations Decomposing nerf for editing via feature field distillation

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:03.570137Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.326461Z digest=sha256:644068c79f8dd06cc92f89557e8d8f22f2bdf5c0eeaf8651a8d328eb13061c58

Observation eecfcbda-1b52-4514-b646-47954f6637d8 · outbound

This paper cites Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding.

Latent Radiance Fields with 3D-aware 2D Representations Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding

Reference 2016

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unresolved
no resolver link, observed 2026-08-07T20:56:03.349363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.349363Z digest=sha256:d85517fb6609573c1336443a0fe5ca1d6bca3d921f17d05c3e613a13c263425d

Observation b3b0c61b-c5a3-4ed5-a66e-dbcbba29365a · outbound

This paper cites EgoLifter: Open-world 3D Segmentation for Egocentric Perception.

Latent Radiance Fields with 3D-aware 2D Representations EgoLifter: Open-world 3D Segmentation for Egocentric Perception

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.312233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.312233Z digest=sha256:57c67fa3c8b532de13231f9a133778e4aa9456bfabe669cd51f2dc5d4042c325

Observation 97bbfa41-3aba-4d3d-ab5d-f2053a88d31e · outbound

This paper cites From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior.

Latent Radiance Fields with 3D-aware 2D Representations From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:56:03.463384Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T20:56:03.339695Z digest=sha256:9ddcb3a0a6cd3d93e16d1302a584edfccaf5eb39b04b684e147100cd0976891c

Observation 4d502db0-cb38-47a7-9e18-494e3d3737cd · outbound

This paper cites DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting.

Latent Radiance Fields with 3D-aware 2D Representations DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.362233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.362233Z digest=sha256:52efcfcd6eb59dd033214cdb30bedf23ab7519e24d2219ceb9e68660fabd0759

Observation f7549c88-c67b-4a16-a5f2-0b65f9ab6ffb · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Latent Radiance Fields with 3D-aware 2D Representations ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.300740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.300740Z digest=sha256:0ab714a913940fbaecd12c2fdf6870aaca3fbfcad230f806b86982ce84c2d299

Observation 915c59da-a6ee-4e5b-8cb7-13d2537be600 · outbound

This paper cites Segment Any 3D Gaussians.

Latent Radiance Fields with 3D-aware 2D Representations Segment Any 3D Gaussians

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T20:56:03.304918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.304918Z digest=sha256:0b8521424edfbb4a842cab3d504ba6f91fdfd23013abe19693afc63030ba06a7

Observation 6f3591d2-e281-4281-950e-6b9b0a3d159a · outbound

This paper cites Text-to-3D using Gaussian Splatting.

Latent Radiance Fields with 3D-aware 2D Representations Text-to-3D using Gaussian Splatting

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:03.308721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:56:03.308721Z digest=sha256:98b27fc7c395ef531e8bbaf2190a4baabde2491b40e18740a68a16c75e3993a6

Pith citing papers

No inbound Pith citation observations are available.