Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Discrete-state Continuous-time Diffusion for Graph Generation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.11416.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:59.864044Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:40:35.641748Z
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 4f8fc758-a59c-488a-a6b0-8fe8c0bbfafd · inbound
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Discrete-state Continuous-time Diffusion for Graph Generation
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:59.864044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b87ea2f-7002-4dde-bbc4-5c0073882af2 · inbound
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models cites this paper.
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Discrete-state Continuous-time Diffusion for Graph Generation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:01:50.016296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd0dd51f-f667-4cbb-bb01-99fa8ab439c0 · inbound
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models Discrete-state Continuous-time Diffusion for Graph Generation
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:40:35.644330Z
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.
Observation 05271428-a5c5-4abe-b53a-1a6345b5f436 · inbound
Discrete Bayesian Sample Inference for Graph Generation cites this paper.
Discrete Bayesian Sample Inference for Graph Generation Discrete-state Continuous-time Diffusion for Graph Generation
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T00:45:32.996367Z
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.