Paper Citation Record · LEDGER

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2308.12219.

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

pith.paper-citation-record.v1
2308.12219 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:23.336842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.773372Z

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 209dd7f1-630c-40e9-b138-c04955656722 · inbound

Scaling Diffusion Language Models via Adaptation from Autoregressive Models cites this paper.

Scaling Diffusion Language Models via Adaptation from Autoregressive Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 198

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:59:36.711866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 758101c7-beb0-47a5-8a65-442c5c0c10a2 · inbound

Theoretical Benefit and Limitation of Diffusion Language Model cites this paper.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T20:56:23.336842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd10ec0-6731-4db4-8f07-f0b59f00df27 · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:42:54.534135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1978fd19-98f9-468c-a355-83dc3effde82 · inbound

Diffusion and Flow Matching Models for Tabular Data: A Survey cites this paper.

Diffusion and Flow Matching Models for Tabular Data: A Survey Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.272597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92ff664a-81eb-4ba6-bcd4-d13e879ac104 · inbound

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

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:46:06.355670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 155e45b1-6725-4bfe-96fe-c410c980ffe6 · 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 Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-16T04:28:02.345015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3791abc-0490-4608-ba61-26cb8f943c2b · inbound

A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T20:15:18.651997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4d77c8-8d0e-4587-9b07-6dfdad5b9518 · inbound

Dream 7B: Diffusion Large Language Models cites this paper.

Dream 7B: Diffusion Large Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:25:53.418415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3dc8599-61e1-49f7-be46-ebe5057e85d5 · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:07.377739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473f0b89-d297-4b7d-a5f5-4754a1d38898 · inbound

A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models cites this paper.

A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T21:31:36.709687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bccf7f03-e6fa-4913-9e7f-56a388c41458 · inbound

Sentence Curve Language Models cites this paper.

Sentence Curve Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.522710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4dfade-6488-44ec-a570-77685bec5d04 · inbound

Measuring Temporal Linguistic Emergence in Diffusion Language Models cites this paper.

Measuring Temporal Linguistic Emergence in Diffusion Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 4

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T20:41:12.683068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77a36ba8-5c54-49de-a4cc-332b39a6da73 · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:51:08.979348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46e029b1-26de-45fc-82c3-8f28d9fc95ee · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:19:28.750331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80c6884c-6355-46c5-92b7-017136da4160 · inbound

Towards A Generative Protein Evolution Machine with DPLM-Evo cites this paper.

Towards A Generative Protein Evolution Machine with DPLM-Evo Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:05:30.797220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 805b457f-ccfb-44a4-b1be-f7579e4742dd · inbound

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion cites this paper.

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:55:40.826680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8bc6d60-f4c9-489b-b41e-28f0cdf09bd6 · inbound

Relative Score Policy Optimization for Diffusion Language Models cites this paper.

Relative Score Policy Optimization for Diffusion Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:29.615386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f4cb38b-9b6c-46ef-84bc-d6bd54bac48c · 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 Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.615584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a45cee34-427a-4a87-8314-f0ba0b625fc9 · inbound

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models cites this paper.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:26.205136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f51a43b-5b5b-4416-ae1b-a8bedf505317 · inbound

Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs cites this paper.

Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:44.776281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.