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Paper Citation Record · LEDGER

Empowering Diffusion Models on the Embedding Space for Text Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.09412.

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

pith.paper-citation-record.v1
2212.09412 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:24:55.239433Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:15:30.640926Z

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 21f3e3cc-abee-4d74-9412-1bd6c99f0059 · inbound

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model cites this paper.

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model Empowering Diffusion Models on the Embedding Space for Text Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T12:24:55.239433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:24:55.239433Z digest=sha256:68389c5b39587b26e298490660759e84faaabe5c6b965ec3982d2966383762cc

Observation d7c19f60-a685-4031-8a29-be463ccfafc4 · inbound

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion cites this paper.

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion Empowering Diffusion Models on the Embedding Space for Text Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:04.175636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:04.175636Z digest=sha256:5478d08b702e4f2863446f4b5856f77e35f2047950b7662e5933492892f3b1cd

Observation bbced98f-838c-4c58-850d-df328776f4f0 · 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 Empowering Diffusion Models on the Embedding Space for Text Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:32.772864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:32.772864Z digest=sha256:aa02c3a50ad109010f1bcbd892810198fe9fd56a22a02d10e682d69f0d062744

Observation 508756aa-801e-4f4b-a93a-8e3d15c77b15 · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models Empowering Diffusion Models on the Embedding Space for Text Generation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:15:30.717961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T20:15:17.674536Z digest=sha256:b370dd47a7c629f77bcf2e118ad55b39bcef51c6a376bb131cb0161bd2a275f2

Observation edcb5cf1-dbf7-411d-bd0f-e50f0675c533 · inbound

CANDI: Hybrid Discrete-Continuous Diffusion Models cites this paper.

CANDI: Hybrid Discrete-Continuous Diffusion Models Empowering Diffusion Models on the Embedding Space for Text Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T08:09:17.894777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:09:17.894777Z digest=sha256:95fdfaa82406063060635dcc9f458a7db6a898aeeb94fb266306f2244bae5df7