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Paper Citation Record · LEDGER

TextMesh: Generation of Realistic 3D Meshes From Text Prompts

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2304.12439.

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

pith.paper-citation-record.v1
2304.12439 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:18:15.694742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:35:43.169942Z

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 31503a5e-6492-45d1-989d-240d39899120 · inbound

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

MVDream: Multi-view Diffusion for 3D Generation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:36:19.569386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-15T08:36:19.457852Z digest=sha256:5755bd695f0e59e46ad87ed636834e7b8d7fd256e4f8211bde2b3a05a1543b3e

Observation 49ac104b-120e-4eb5-9b70-7e622f9d0f75 · inbound

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image cites this paper.

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:35:43.172037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T10:35:43.077961Z digest=sha256:590993c58ba3da329c5fb02dcaf435dac79373146690018d3ac1b73145193edc

Observation 7897922b-06dd-4695-9b44-556512ccafaf · inbound

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

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:18:06.403849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-16T10:18:06.232980Z digest=sha256:9d0ad2a61ad3f08758817992b665d4049524ef19e48214af80ebb17abc9e3f47

Observation 458b41e8-5568-4e94-a12e-da12e1d21849 · inbound

CRAFT: Designing Creative and Functional 3D Objects cites this paper.

CRAFT: Designing Creative and Functional 3D Objects TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T22:03:54.437670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:03:54.437670Z digest=sha256:e47d95f803d730be3dfeecfe4878e4632c4dcde128011eb107217849ea6b0606

Observation bb35ec29-8522-43ff-8538-e1bc032e0f1c · inbound

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation cites this paper.

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:18:15.694742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:18:15.694742Z digest=sha256:a39e6c424740087930bc2f875dfeb345a83e293c5947e537bcdb6a764dafd0da

Observation 2fd17c29-ca48-4d11-a370-95f3cd71a9d0 · inbound

Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation cites this paper.

Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T23:40:30.428152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:40:30.428152Z digest=sha256:05c9d9ecc35858a2c4254b85ac89394fbd3d669db386d54c61020b22f6805333

Observation 0123820a-228b-4cec-a402-c3476b0898b6 · inbound

3D PixBrush: Image-Guided Local Texture Synthesis cites this paper.

3D PixBrush: Image-Guided Local Texture Synthesis TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:09:46.147706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:46.147706Z digest=sha256:03ec53f83c352d4f42234a5734ca8e095b917bfc78a5cc4d902f8874d263b01f

Observation b7ed78dd-be6b-419d-aa74-65579fa526ae · inbound

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation cites this paper.

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:26.751068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:26.751068Z digest=sha256:b89d08636ef3cd3ac5e94a4eca20f4f3b6d81da53573a74b1b0a4da635ed5a7b

Observation 3c044eb1-999a-46ba-b191-9fe668ed7afe · inbound

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation cites this paper.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T17:21:32.060585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.060585Z digest=sha256:270c0ffa01f8b4efb3f5dd8bf4a573170326e9a2f8519127ff4684ea07beb27b

Observation 83f3ab9b-ffc7-43f6-8189-e2cc75cb365b · inbound

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation cites this paper.

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T10:19:33.845585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:33.845585Z digest=sha256:6d401a32328bfc9f868dfe9098c6ae98d3e1f358f59f25db90121f930f1f26b7

Observation 4f3cc7fb-9468-4fcb-8492-672ad6c14f79 · inbound

MOC-3D: Manifold-Order Consistency for Text-to-3D Generation cites this paper.

MOC-3D: Manifold-Order Consistency for Text-to-3D Generation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:05.277343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:19:04.780340Z digest=sha256:3a281426f92410c88d4119e2df4772cb7a76a66964dff1b4e91823d598b84d58