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Paper Citation Record · LEDGER

Conditional Denoising Diffusion for Sequential Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.11433.

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

pith.paper-citation-record.v1
2304.11433 v1

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:34.799822Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e0b78629-21da-4df8-86a9-0bb9c1a291d3 · inbound

EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels cites this paper.

EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels Conditional Denoising Diffusion for Sequential Recommendation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:15:54.218581Z

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.

source=arxiv_source observed=2026-05-24T01:14:56.879243Z digest=sha256:9d9a0f530a33825927facdea240f428478d27e47c2039f7f49b48ca63c8125c3

Observation e148058a-2c08-488a-85da-2dd03838a144 · inbound

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach cites this paper.

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach Conditional Denoising Diffusion for Sequential Recommendation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:34.799822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:34.799822Z digest=sha256:f20146d8675cfce01335aaf18a5e4b8a2cfa0c1586de3b0e221c4a008a6ad74d