Paper Citation Record · LEDGER

DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.04370.

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

pith.paper-citation-record.v1
2502.04370 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:34.760038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:29.452062Z

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 71142e03-05df-428c-8bc1-c5e1e97b0b1f · inbound

MPO: Multilingual Safety Alignment via Reward Gap Optimization cites this paper.

MPO: Multilingual Safety Alignment via Reward Gap Optimization DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:34.760038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1514486a-460e-40d4-8850-0f3272a64727 · inbound

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards cites this paper.

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:17.326115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fb1b3d-f7db-4d26-b8ec-6c9ea6700b0e · inbound

Point Cloud Compression and Objective Quality Assessment: A Survey cites this paper.

Point Cloud Compression and Objective Quality Assessment: A Survey DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 220

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:11.224541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0deb8e-0412-4b76-8e00-d3635f9230e3 · inbound

Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation cites this paper.

Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T21:41:32.036892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d37ba46-624b-442c-b711-a7dc3b4ab0fa · inbound

BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization cites this paper.

BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:14:00.105818Z

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.

Observation ced36b07-3fbb-415d-984c-12d9da5024f7 · inbound

A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short) cites this paper.

A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short) DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:58.189580Z

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.

Observation 33897e9a-ca04-40ac-948c-ea8cefca8981 · inbound

Judging to Improve: A De-biased VLM-as-3D-Judge Protocol for Single-Image 3D Generation cites this paper.

Judging to Improve: A De-biased VLM-as-3D-Judge Protocol for Single-Image 3D Generation DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:29.454899Z

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.