Paper Citation Record · LEDGER

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2212.10325.

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

pith.paper-citation-record.v1
2212.10325 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:25.929433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:58.819080Z

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 b572d15e-9288-4fa3-ac70-9f4736573f7a · inbound

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation cites this paper.

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:34:30.338553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59a76727-9ddc-4634-abb9-dee5ebfa5ef9 · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-05T20:15:25.929433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ba0979-ca5c-4c0d-a922-c371eac98a61 · inbound

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

CANDI: Hybrid Discrete-Continuous Diffusion Models SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T08:09:21.912493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61128ffd-a88d-4aee-97f1-3da45b1b2b20 · inbound

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models cites this paper.

Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.451484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecec599c-424d-4f45-8613-713165af78c0 · inbound

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis cites this paper.

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T20:50:53.567415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07bea4c-03e6-4385-9129-cfc559f030e2 · inbound

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching cites this paper.

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:24.685602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1962cc7b-6d35-4074-b383-dab0affa9ab1 · inbound

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space cites this paper.

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:55.647126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 018f0eb5-4840-4495-9fd6-8bb44ebedb11 · inbound

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster cites this paper.

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:27:53.542455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffc2c97a-e338-4b99-8e2d-4b2999e73a31 · inbound

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps cites this paper.

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.820636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75f00d24-2057-44a1-80b6-f21bdcce373d · inbound

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance cites this paper.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T02:03:04.481591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.