Paper Citation Record · LEDGER

Discrete-state Continuous-time Diffusion for Graph Generation

As of 8 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.

pith.paper-citation-record.v1
2405.11416 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:59.864044Z

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.