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Paper Citation Record · LEDGER

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.09193.

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

pith.paper-citation-record.v1
2312.09193 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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T05:52:14.089334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:04.628530Z

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 04f583d8-7a53-4e57-a4a7-7cf94dbf977f · inbound

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data cites this paper.

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T12:06:09.092792Z

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.

source=arxiv_source observed=2026-05-18T12:06:09.047780Z digest=sha256:80ce2bb7822ea5a031b19fa72ec2ba31faa3c97fe096197dde24bccffd560a52

Observation b7351097-cecd-4324-ad36-23f938c550be · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:42:54.525156Z

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.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:89005606c479250a72cd068e4f33262a8c8a70c5cbe2bdbfda757a7c16a08e15

Observation e7d667d7-ee68-4555-9e7a-bb3f93a8882d · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:46:06.351397Z

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.

source=pdf_text observed=2026-05-17T03:46:06.074416Z digest=sha256:585ddb6ee587471c6d542b1466257c581041f9d4599dc9ea383ba26a596032d8

Observation c3af16a7-6953-4951-944d-91d1e0a5e1d7 · inbound

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding cites this paper.

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T04:28:02.319356Z

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.

source=pdf_text observed=2026-05-16T04:28:02.231373Z digest=sha256:5a73d866e5b15952d8d2db28217b7f913fbca6e6d33458981755c28cce70449a

Observation a086e25c-49dc-4ec7-84e3-f2a54c8fd9f3 · inbound

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention cites this paper.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.630087Z

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.

source=pdf_text observed=2026-05-20T05:52:14.089334Z digest=sha256:9589dac692f246c81bae85504f6f2041381e080d1aeb49268d074cbe1c7b0e27