Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DreaMoving: A Human Video Generation Framework based on Diffusion Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.05107.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:30.469507Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T07:27:08.901063Z
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 7e3136c8-8dd5-40fd-abf9-f1c597ca576e · inbound
DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation cites this paper.
DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:30.469507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1d96c7d-546a-4316-aba7-3ef836fa1839 · inbound
Toward Rich Video Human-Motion2D Generation cites this paper.
Toward Rich Video Human-Motion2D Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:25:01.405171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5833cf9c-ea0e-4167-b952-ddf3442a58a5 · inbound
GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.
GenHSI: Controllable Generation of Human-Scene Interaction Videos DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:27:08.903461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dafcda37-a4f0-4a18-8f21-1a03e6c906f9 · inbound
Multi-human Interactive Talking Dataset cites this paper.
Multi-human Interactive Talking Dataset DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:46:04.059505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aa3248d-5c1b-43a6-8876-4d88a106f95d · inbound
Human Motion Video Generation: A Survey cites this paper.
Human Motion Video Generation: A Survey DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:36:55.542297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 339ea6e1-47af-48cb-8759-9b785e90ef96 · inbound
ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity cites this paper.
ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 67
- Resolution
- verified exact
- orphan_title_repair, observed 2026-05-13T17:18:52.406883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 02f21e21-8007-4796-857b-e00542680eea · inbound
CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection cites this paper.
CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection DreaMoving: A Human Video Generation Framework based on Diffusion Models
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:16:10.011034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.