Paper Citation Record · LEDGER

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.02287.

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

pith.paper-citation-record.v1
2412.02287 v4

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:42:24.247205Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

48 of 48 outbound references displayed

verified exact2
verified fuzzy16
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b70ab774-fa9a-4ad3-b890-50910ebf85a5 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.009299Z

Source-reported events for the cited work

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Observation a8d357d9-a684-470b-9f23-7b8a6c7e2ef5 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance In- structpix2pix: Learning to follow image editing instructions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.015118Z

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Observation 2f63da7c-a204-42b9-b2f0-2b41ce2deef0 · outbound

This paper cites Dreamavatar: Text-and-shape guided 3d hu- man avatar generation via diffusion models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Dreamavatar: Text-and-shape guided 3d hu- man avatar generation via diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.163069Z

Source-reported events for the cited work

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Observation 8af11f14-eaca-4f58-a85c-286715443765 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.146449Z

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Observation a5cc138b-80af-45dc-a3f8-ddda6c96ba3e · outbound

This paper cites Text-to-3d using gaussian splatting.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Text-to-3d using gaussian splatting

Reference 5

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Source-reported events for the cited work

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Observation 517ee4ca-ef36-4909-b803-24fb696d92ba · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Objaverse-xl: A universe of 10m+ 3d objects

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.036661Z

Source-reported events for the cited work

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Observation 2cf6e220-26bf-4aad-8665-4346e49b4ce9 · outbound

This paper cites Vfusion3d: Learning scalable 3d generative models from video diffusion models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Vfusion3d: Learning scalable 3d generative models from video diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.042203Z

Source-reported events for the cited work

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Observation 40e53289-f154-4258-ad13-5b7a5fcee097 · outbound

This paper cites Latent-based diffusion model for long-tailed recognition.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Latent-based diffusion model for long-tailed recognition

Reference 8

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Source-reported events for the cited work

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Observation f5c00f14-6dbe-4bb6-8fa1-8ccb3ed25d89 · outbound

This paper cites Enhancing features in long-tailed data using large vision model.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Enhancing features in long-tailed data using large vision model

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:42:24.732657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d5b8afc-ea65-4a88-a250-744e09c6d2b6 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.058178Z

Source-reported events for the cited work

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Observation 512aa078-f35e-44c7-8d2d-745673bacc50 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Denoising dif- fusion probabilistic models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.063779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d40729-fd61-4c3d-bd85-1951e67a4def · outbound

This paper cites PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning

Reference 12

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Source-reported events for the cited work

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Observation e426d497-9505-4aa0-a2d1-302b925d0ca3 · outbound

This paper cites Debi- asing scores and prompts of 2d diffusion for view-consistent text-to-3d generation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Debi- asing scores and prompts of 2d diffusion for view-consistent text-to-3d generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.072915Z

Source-reported events for the cited work

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Observation a1224325-b1bd-4885-8eef-4aed34dfd472 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.079295Z

Source-reported events for the cited work

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Observation 071a66e6-1a6b-4793-854f-b5a16c6d5b3c · outbound

This paper cites Dreamcontrol: Control-based text-to-3d generation with 3d self-prior.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Dreamcontrol: Control-based text-to-3d generation with 3d self-prior

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.056406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 524da685-d277-4311-8131-236cc1b0b05f · outbound

This paper cites Zero-shot text-guided object genera- tion with dream fields.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Zero-shot text-guided object genera- tion with dream fields

Reference 16

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Source-reported events for the cited work

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Observation 7cf36175-fd75-432b-883d-40dd128d0f78 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Shap-E: Generating Conditional 3D Implicit Functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.093498Z

Source-reported events for the cited work

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Observation 9d223839-8214-48d7-b05b-bec353754cd2 · outbound

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

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance 3d gaussian splatting for real-time radiance field rendering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.098352Z

Source-reported events for the cited work

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Observation dbb96f71-29e4-4d39-ab71-20a561d786a9 · outbound

This paper cites Auto-Encoding Variational Bayes.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Auto-Encoding Variational Bayes

Reference 19

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Source-reported events for the cited work

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Observation b1aa8102-66eb-4476-8567-1cf05c61c880 · outbound

This paper cites DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:42:24.425031Z

Source-reported events for the cited work

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Observation 4b238150-aec0-4e5f-8c4d-e8cf5f3b7702 · outbound

This paper cites Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.017694Z

Source-reported events for the cited work

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Observation c52391fd-ac7c-4ab6-80ab-0ce434b36c11 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Magic3d: High-resolution text-to-3d content creation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:25.002022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73fe42be-0162-4ae1-a810-58228e3f6bcc · outbound

This paper cites A Comprehensive Survey on 3D Content Generation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance A Comprehensive Survey on 3D Content Generation

Reference 23

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Source-reported events for the cited work

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Observation 71a17648-f9cc-4206-8143-03a4ebfbf63e · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Zero-1-to- 3: Zero-shot one image to 3d object

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6cedec-d6ae-4cb5-9a11-4b19ca5d6ce5 · outbound

This paper cites Threestudio: A modular framework for diffusion-guided 3d generation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Threestudio: A modular framework for diffusion-guided 3d generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.975848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4efdbe65-599e-4cf0-a3cf-be8882c88ea3 · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.959180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e1435a1-e813-485b-800a-ac2038884ac0 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 27

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Source-reported events for the cited work

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Observation e1dbc94e-afab-4a98-b0da-5664c0c99a2b · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.146674Z

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Observation 5582aeaf-581c-4e69-8182-bafa3e37a368 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance DreamFusion: Text-to-3D using 2D Diffusion

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.151904Z

Source-reported events for the cited work

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Observation 316f284e-e91f-4b4c-8fb7-24e2ad635bba · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Learning transferable visual models from natural language supervi- sion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.156973Z

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Observation fc5aabf2-f2fe-4115-bdc9-ada34e00180d · outbound

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

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance High-resolution image synthesis with latent diffusion models

Reference 31

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Observation f308b876-0cf0-45be-aa16-966b25bb95a6 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance U- net: Convolutional networks for biomedical image segmen- tation

Reference 32

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Observation 5e5d8df0-e98c-4598-85d3-2643480c1963 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 33

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Observation 1d69209c-2b8c-4c39-b511-56b31227d395 · outbound

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

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.886983Z

Source-reported events for the cited work

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Observation 10b675ac-c6b2-4b82-82df-fd0a7fe39906 · outbound

This paper cites Generating high fidelity data from low-density regions using diffusion models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Generating high fidelity data from low-density regions using diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.871178Z

Source-reported events for the cited work

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Observation f0965899-cef3-4c7c-a229-1001b4445dde · outbound

This paper cites Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis

Reference 36

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Observation 62d27e67-c06e-487a-9e5b-8633a158ed38 · outbound

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

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance MVDream: Multi-view Diffusion for 3D Generation

Reference 37

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Source-reported events for the cited work

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Observation 0dc5b4dc-e400-400f-aebb-a6b692381ee9 · outbound

This paper cites Denoising Diffusion Implicit Models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Denoising Diffusion Implicit Models

Reference 38

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Source-reported events for the cited work

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Observation 0daa4646-def1-4d67-8ef7-d446d06291f0 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Generative modeling by esti- mating gradients of the data distribution

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.200222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0725b97-42d2-4208-a6f9-c5b033dae079 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Score-Based Generative Modeling through Stochastic Differential Equations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.205202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2c8436-b0b4-46d0-96e3-580af39ca878 · outbound

This paper cites Stable-dreamfusion: Text-to-3d with stable-diffusion, 2022.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Stable-dreamfusion: Text-to-3d with stable-diffusion, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.834881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 08153293-c780-47e0-8219-e71316d04e3a · outbound

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

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.215565Z

Source-reported events for the cited work

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Observation c3163042-6915-4e11-a63e-0302fcfaec62 · outbound

This paper cites Gs-2dgs: Geometrically supervised 2dgs for reflective object reconstruction.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Gs-2dgs: Geometrically supervised 2dgs for reflective object reconstruction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.818603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d3d9bf30-13ff-42de-b334-5c5a1a719ddb · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.802782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af46db2b-d671-4e37-8203-37d5264b3d8c · outbound

This paper cites Neural Radiance Fields for the Real World: A Survey.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Neural Radiance Fields for the Real World: A Survey

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.231505Z

Source-reported events for the cited work

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Observation 55fe2784-b8f5-4fa4-8c1a-a176877a8257 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:42:24.785864Z

Source-reported events for the cited work

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Observation 7f21da06-50d0-4ddb-8dbc-2d5318a78d58 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Adding conditional control to text-to-image diffusion models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.241941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e90c757-dc32-4f90-8772-dfcd4aad197c · outbound

This paper cites Deep long-tailed learning: A survey.

Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance Deep long-tailed learning: A survey

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:24.247205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.