Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2507.07095.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T17:30:19.180671Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T02:16:42.476247Z
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 0040e46a-f4d8-47a5-9edf-5c25aa3eb5a5 · inbound
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds cites this paper.
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:30:19.180671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f94e5c67-008a-4dc0-b96b-4fc5a69eb86a · inbound
LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.
LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:02:19.624180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc1c3821-f643-49eb-a48e-06af040e7c31 · inbound
IAM: Identity-Aware Human Motion and Shape Joint Generation cites this paper.
IAM: Identity-Aware Human Motion and Shape Joint Generation Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:31:13.417811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5af2fe74-8679-4620-9717-4bd40221d6b4 · inbound
OMG: Omni-Modal Motion Generation for Generalist Humanoid Control cites this paper.
OMG: Omni-Modal Motion Generation for Generalist Humanoid Control Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:27:40.234468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 927c8bb1-cc32-444f-a185-f56b7ce3a751 · inbound
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation cites this paper.
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T02:16:42.477412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.