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Paper Citation Record · LEDGER

Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.13052.

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

pith.paper-citation-record.v1
2303.13052 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:22:26.844673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:35:45.752550Z

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 8a4b8e99-d638-41ab-b494-e43ff22a4df6 · inbound

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization cites this paper.

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:26.844673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:26.844673Z digest=sha256:ef5524ba7cb0b696789f89202fda3ca8c407c3a2d3d0b4e2ce6d243e0d35ecc5

Observation 451cb53c-6b93-436a-adae-c4f4b1023176 · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Reference 174

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:35:45.930090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T05:35:39.695996Z digest=sha256:8d58cf01f2c40c8a6bc4b3c3c936b35e6efb855aefcecfbc18c272e39527d531