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Paper Citation Record · LEDGER

VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.01739.

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

pith.paper-citation-record.v1
2503.01739 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:30:58.529480Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.106651Z

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 862c20d3-9476-46a4-9914-345f1ab09f43 · inbound

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions cites this paper.

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:30:58.529480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:30:58.529480Z digest=sha256:9ed2720c2e1d6b129f1b8703283391f14ff9406c6156bc964059b7b538abb5f5

Observation 4aee2bd6-5d3c-4d94-a2b9-725fb09da934 · inbound

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models cites this paper.

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-16T16:28:05.535575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T16:25:03.743594Z digest=sha256:5a6c5a96ebdccf6d00e2c4d6398550d314ff6f44de2bef7df3bcdcdeea734809

Observation c8530916-28e0-4eeb-af3e-16c5b687b48e · inbound

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models cites this paper.

Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-21T16:04:14.691778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T16:01:52.150950Z digest=sha256:a4e3e2185f4bca6d00e163f94af79b8948420b70ed7cab003675eacf9bb15891

Observation 63616cb3-5061-4cb2-b624-85d1710fbf61 · inbound

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:03.717562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:23:08.671342Z digest=sha256:938fec5cb4efa4d2c012d23d4cbd128572979f493e9d8dc1f543a809f3683aee

Observation 1672e185-056c-4d87-b13f-6e8da2329eae · inbound

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation cites this paper.

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:07:28.108003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:30:25.371658Z digest=sha256:23f669f6f76707245c61dd46307dc65095cf4c0c262cbb13953141d42d3361de

Observation 0054afe7-ded0-49f5-b2a8-c4b6b914e564 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 201

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:09:46.108197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T08:09:57.542558Z digest=sha256:ba87f4fdb66f56ae2f769f83ddbfcfedf75b53d6a6b8e5e508102275ad479c27

Observation e8a14d5c-6dec-4773-9dce-7df3f8e7bf41 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 188

Resolution
unresolved
no resolver link, observed 2026-08-02T10:27:18.442300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:18.442300Z digest=sha256:4426a39f0ba9dd9b32ac94288e1b1ef991d6a35d5bbf5d83ce8b88478e651162

Observation 551b0c30-eac3-4054-ba50-fae16926901a · inbound

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment cites this paper.

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:27:03.018488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T14:25:04.811472Z digest=sha256:903c516aca8ec56ffc54b346807867978cab9182d5fc461713f8de27c7773d10