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Paper Citation Record · LEDGER

Multi-Block Diffusion Language Models

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.29215.

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

pith.paper-citation-record.v1
2606.29215 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T07:04:06.161855Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact17
  • verified fuzzy6
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6361a0f-56a5-4c6d-a8a9-055d534b1d9f · outbound

This paper cites 2022 , eprint=.

Multi-Block Diffusion Language Models 2022 , eprint=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.219234Z

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=2026-07-01T07:04:06.161855Z digest=sha256:712c7e865fdc0643da55bf648baa404e2fe64b58ef04ce17293ce44ab8def433

Observation f0f7d41c-edae-43dd-b0ba-cd1890111865 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Multi-Block Diffusion Language Models International Conference on Learning Representations (ICLR) , year =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.221352Z

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=2026-07-01T07:04:06.161855Z digest=sha256:c3b534a4bcad8cbe40681dfa48d6bcf53dc481d68fa24f3070b12fe723dace94

Observation 1b3224c5-5caf-4c8b-9092-c49cb3cb2fac · outbound

This paper cites Corrective diffusion language models.

Multi-Block Diffusion Language Models Corrective diffusion language models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T07:05:28.315281Z

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=2026-07-01T07:04:06.161855Z digest=sha256:1ce225f9ab405c776bdf3669deaaa60e625d61e114cbed23d38ac28c7c5fe895

Observation e7cdc6be-d33b-4868-bc55-f6048d5eb84a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Multi-Block Diffusion Language Models Evaluating Large Language Models Trained on Code

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T07:05:28.285906Z

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=2026-07-01T07:04:06.161855Z digest=sha256:7feda98e3bf5696b7bdbe1168f910132ea7103d14ef2205afc0005995a2cc944

Observation b66c8231-d63b-418d-93a7-a82e57771817 · outbound

This paper cites Program Synthesis with Large Language Models.

Multi-Block Diffusion Language Models Program Synthesis with Large Language Models

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T07:05:28.328001Z

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=2026-07-01T07:04:06.161855Z digest=sha256:66dd501d1437bf3b9b9425c7a343a0ea1ebcac483578275dbac890971df60146

Observation 65b9a678-e5e3-4b21-9351-acb95f47c8b8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-Block Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.227678Z

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=2026-07-01T07:04:06.161855Z digest=sha256:4ef5bf46933e5b0f5d3917834bfd8797a63ce58f1122f239d35b89fcf6241297

Observation b6fe0ff1-eae2-4acb-9fff-2f3326cdb1f0 · outbound

This paper cites 2025 , howpublished =.

Multi-Block Diffusion Language Models 2025 , howpublished =

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.223259Z

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=2026-07-01T07:04:06.161855Z digest=sha256:1ca1257e9fe9b59e376aa0ace5f0de8ba5f6900ff09b156cc830f9a1e238262a

Observation b52870c9-aabd-4a34-9e8b-8ab11013c09f · outbound

This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

Multi-Block Diffusion Language Models Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T07:05:28.274704Z

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=2026-07-01T07:04:06.161855Z digest=sha256:d55c8a09532dbb539517b7c5619855c800e19b54759e22707e2581a2509c55d3

Observation c0fe317b-7427-49ad-b747-21740ca223c6 · outbound

This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.

Multi-Block Diffusion Language Models LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.290602Z

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=2026-07-01T07:04:06.161855Z digest=sha256:0d9d284a7c8a79362b7ed35e5633a79ec980d5fd5eb8c2c8401f95a2a72dfd25

Observation 4b9c9dd5-084a-4859-b744-181d2f70558c · outbound

This paper cites LLaDA2.1 : Speeding up text diffusion via token editing.

Multi-Block Diffusion Language Models LLaDA2.1 : Speeding up text diffusion via token editing

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.254949Z

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=2026-07-01T07:04:06.161855Z digest=sha256:92611011d0a0037f27fe3a5196181ea154b7a93406da1a76d8f877e5824a1f19

Observation b781e3c0-e256-4945-858a-342ab05e24b7 · outbound

This paper cites Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation.

Multi-Block Diffusion Language Models Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.343687Z

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=2026-07-01T07:04:06.161855Z digest=sha256:9beadeab7d3fdb9535cfe2efcf338849c431866afee65e17dd185763d67c1796

Observation 2688281d-c385-4926-8043-2bdf395916ef · outbound

This paper cites dparallel: Learnable parallel decoding for dllms.

Multi-Block Diffusion Language Models dparallel: Learnable parallel decoding for dllms

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.267459Z

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=2026-07-01T07:04:06.161855Z digest=sha256:7334eabcc0d44d19aec8a4cca7c8f292d21adf7674846cbca4d6bac1b8edf856

Observation 0857fd2d-811e-491c-a9f5-6cf3a83b66e5 · outbound

This paper cites DMax: Aggressive Parallel Decoding for dLLMs.

Multi-Block Diffusion Language Models DMax: Aggressive Parallel Decoding for dLLMs

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.323711Z

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=2026-07-01T07:04:06.161855Z digest=sha256:21bf75e346181dadb3e7afee6fc94a822f89c9c48c6340e9efc6e6ee817ea7d9

Observation fc269ba2-2fbe-4967-a053-316edc6971d5 · outbound

This paper cites Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303.

Multi-Block Diffusion Language Models Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.306334Z

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=2026-07-01T07:04:06.161855Z digest=sha256:1ae212080441038c00a694a045125e8bca749c2c004467626b051ddcfb9242eb

Observation cff3917b-b071-43e2-bb76-8a925b5da07d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Multi-Block Diffusion Language Models Training Verifiers to Solve Math Word Problems

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.258775Z

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=2026-07-01T07:04:06.161855Z digest=sha256:dbf29c41176594c3419fb4177e408a26df96fbe6dd04e84a9f567ba433b699d7

Observation aa4c5c76-56e8-406e-9ebe-c35d4b681d6c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Multi-Block Diffusion Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.331988Z

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=2026-07-01T07:04:06.161855Z digest=sha256:0a05e0cccc9d248bf2616325c70ab59f1aa1150428481a9e0f8b2b74903d51f0

Observation 7397b7b8-4bff-4691-b33f-164251f386e2 · outbound

This paper cites LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning.

Multi-Block Diffusion Language Models LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-08-03T02:15:22.563508Z

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=2026-07-01T07:04:06.161855Z digest=sha256:d4cbbafeab0e704b5cd3ce477b5b17baa2c2b76e4547144d9e31d4b7bfb2f2cd

Observation 27890b31-4341-4173-b0a6-0e1360c47828 · outbound

This paper cites Python code dataset 500k.

Multi-Block Diffusion Language Models Python code dataset 500k

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.225436Z

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=2026-07-01T07:04:06.161855Z digest=sha256:d03258b509020394df19056911ba69c0b552117ef8f00f986a2ee01b4f498b33

Observation 1e1f1ac3-70f7-43ed-bb10-082063c0de51 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation.

Multi-Block Diffusion Language Models Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T16:32:39.217123Z

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=2026-07-01T07:04:06.161855Z digest=sha256:591503f17211ee0c352f706cd9b37039c15305a4dcb49a6ad3adea2952cd4e1d

Observation e27786ef-9701-444a-bd63-db72f6f61bb4 · outbound

This paper cites Adablock-dllm: Semantic-aware diffusion llm inference via adaptive block size.

Multi-Block Diffusion Language Models Adablock-dllm: Semantic-aware diffusion llm inference via adaptive block size

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.258832Z

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=2026-07-01T07:04:06.161855Z digest=sha256:9c1334fef401ffc3119ad954437001f1380935cee21ef62aacb793b24ba0d736

Observation d99c9174-29fc-4413-a371-92b932aa480f · outbound

This paper cites VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Multi-Block Diffusion Language Models VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.262812Z

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=2026-07-01T07:04:06.161855Z digest=sha256:123bd42e02a83894dce16f2601a48288c64672bb58f5e7edf6fa0a43fa61fd9a

Observation 2039da7d-0171-434d-a568-611e2f527370 · outbound

This paper cites Large Language Diffusion Models.

Multi-Block Diffusion Language Models Large Language Diffusion Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.301083Z

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=2026-07-01T07:04:06.161855Z digest=sha256:e572591b8cc796235bc6359508663e64478de25497b17b15e9ea3efe8a0c547b

Observation 283229b8-66b9-4cb0-a59c-d22c28d820e4 · outbound

This paper cites d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation.

Multi-Block Diffusion Language Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-08-07T02:38:17.181363Z

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=2026-07-01T07:04:06.161855Z digest=sha256:0bac149dfc57e1dc32597703987b3010abd5198df8044e14fef60ac042e6af3f

Observation 63d7cbe4-b64a-4f9d-b3f1-d1988df087b0 · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Multi-Block Diffusion Language Models Simple and Effective Masked Diffusion Language Models

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T07:05:28.310450Z

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=2026-07-01T07:04:06.161855Z digest=sha256:2b6507fbcf89cd2ba038ac9a06d98cc42b5c4549abfaf607952215f77acac62d

Observation 6c9c2f61-1919-4699-84f5-3a2a646d92e1 · outbound

This paper cites Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.

Multi-Block Diffusion Language Models Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.339969Z

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=2026-07-01T07:04:06.161855Z digest=sha256:22022c4c0d8f90ba59a400797dbb0b583b206435cfc56a31107ed3f35a8f98f8

Observation a9db2626-b4c8-494b-812a-43172c5fc9a7 · outbound

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

Multi-Block Diffusion Language Models Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.335778Z

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=2026-07-01T07:04:06.161855Z digest=sha256:bbe357c64e0d4e46c2697c1246a3bebc91b15fef28501849109e7185cc265fbb

Observation 9404e14d-69db-4e61-b3f5-8dc7e15bd91e · outbound

This paper cites Lopa: Scaling dllm inference via looka- head parallel decoding.arXiv preprint arXiv:2512.16229.

Multi-Block Diffusion Language Models Lopa: Scaling dllm inference via looka- head parallel decoding.arXiv preprint arXiv:2512.16229

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.280797Z

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=2026-07-01T07:04:06.161855Z digest=sha256:772e39de5ed4d1a36fc555a00392f401f8da62f225d8540d1a8d00e51244d562

Observation c343d92f-64fd-409c-91c2-40e7060753fe · outbound

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

Multi-Block Diffusion Language Models Dream 7B: Diffusion Large Language Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-01T07:05:28.273755Z

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=2026-07-01T07:04:06.161855Z digest=sha256:2481d9f3dfe24401a6a4c76fde64086628205a758fafb109e38ff2d6e0ab78a4

Pith citing papers

No inbound Pith citation observations are available.