Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T20:52:08.330407Z
Paper Citation Record · LEDGER
Understanding Evaluation Illusion in Diffusion Large Language Models
As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.29228.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
44 of 44 outbound references displayed
- verified exact8
- verified fuzzy31
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 26214760-efb3-4f2d-8ef2-4c86ff3b62c1 · outbound
This paper cites Structuring The Future: Diffusion LLM Speculative Decoding via Calibrated Draft Graphs.
Understanding Evaluation Illusion in Diffusion Large Language Models Structuring The Future: Diffusion LLM Speculative Decoding via Calibrated Draft Graphs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:22.841027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c4935062-3e84-4cb4-89ba-d7a97c9cdd7a · outbound
This paper cites Learning to parallel: Accelerating diffusion large language models via learnable parallel decoding.
Understanding Evaluation Illusion in Diffusion Large Language Models Learning to parallel: Accelerating diffusion large language models via learnable parallel decoding
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.552898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b3a553ec-4d99-4b15-8dd0-8cf5172cc4bc · outbound
This paper cites Accelerated sampling from masked diffusion models via entropy bounded unmasking.
Understanding Evaluation Illusion in Diffusion Large Language Models Accelerated sampling from masked diffusion models via entropy bounded unmasking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.554938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fdc6e66b-4660-48d0-b670-00addbd29a28 · outbound
This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.
Understanding Evaluation Illusion in Diffusion Large Language Models LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:22.858880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1dab4246-de44-4aea-85be-0a8e70834ce5 · outbound
This paper cites DPad: Efficient diffusion language models with suffix dropout.
Understanding Evaluation Illusion in Diffusion Large Language Models DPad: Efficient diffusion language models with suffix dropout
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.556986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a4a4c036-1a09-4fc1-82ab-ae46f0173024 · outbound
This paper cites dparallel: Learn- able parallel decoding for dLLMs.
Understanding Evaluation Illusion in Diffusion Large Language Models dparallel: Learn- able parallel decoding for dLLMs
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.558904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a181a610-3c26-4051-aa2c-65d780441186 · outbound
This paper cites Self speculative decoding for diffusion large language models.
Understanding Evaluation Illusion in Diffusion Large Language Models Self speculative decoding for diffusion large language models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:22.858470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a7243f16-d8d9-41ea-ae8e-32c73598316b · outbound
This paper cites Gemini diffusion.
Understanding Evaluation Illusion in Diffusion Large Language Models Gemini diffusion
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.548525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7ba00b08-f12b-426a-b40b-4a01646233b5 · outbound
This paper cites Wide-in, narrow-out: Revokable decoding for efficient and effective DLLMs.
Understanding Evaluation Illusion in Diffusion Large Language Models Wide-in, narrow-out: Revokable decoding for efficient and effective DLLMs
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.544610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0ba1dfad-dc16-427f-ae13-1696e7385c89 · outbound
This paper cites S., Seo, J.-s., Zhang, Z., and Gupta, U.
Understanding Evaluation Illusion in Diffusion Large Language Models S., Seo, J.-s., Zhang, Z., and Gupta, U
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:57:22.860972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 16ef6543-2a23-48bb-bb40-e04e69ad55ef · outbound
This paper cites Flaw or artifact? rethinking prompt sensitivity in evaluating llms.
Understanding Evaluation Illusion in Diffusion Large Language Models Flaw or artifact? rethinking prompt sensitivity in evaluating llms
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.536847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ecfa6386-6463-4bde-8ade-afa437408e8c · outbound
This paper cites d$^2$cache: Accelerating diffusion-based LLMs via dual adaptive caching.
Understanding Evaluation Illusion in Diffusion Large Language Models d$^2$cache: Accelerating diffusion-based LLMs via dual adaptive caching
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.538793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12406a06-c8ee-478c-ad74-f01506085f19 · outbound
This paper cites How can we know what language models know?Transactions of the Association for Computational Linguistics, 8:423–438, 2020.
Understanding Evaluation Illusion in Diffusion Large Language Models How can we know what language models know?Transactions of the Association for Computational Linguistics, 8:423–438, 2020
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.532547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b62ae062-f529-4256-bc2d-add48ac4c96e · outbound
This paper cites Parallelbench: Understanding the trade-offs of parallel decoding in diffusion LLMs.
Understanding Evaluation Illusion in Diffusion Large Language Models Parallelbench: Understanding the trade-offs of parallel decoding in diffusion LLMs
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.530591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7a39882a-f1c3-442a-a917-13b80c72850e · outbound
This paper cites Mercury: Ultra-fast language models based on diffusion.arXiv e-prints, pages arXiv–2506.
Understanding Evaluation Illusion in Diffusion Large Language Models Mercury: Ultra-fast language models based on diffusion.arXiv e-prints, pages arXiv–2506
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.534583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d3710a45-1623-4da7-9841-6544c30c2281 · outbound
This paper cites Diffusion language model knows the answer before it decodes.
Understanding Evaluation Illusion in Diffusion Large Language Models Diffusion language model knows the answer before it decodes
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.540736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1995b62e-4d0c-4cc5-8df7-c03da8a1207f · outbound
This paper cites an unresolved cited work.
Understanding Evaluation Illusion in Diffusion Large Language Models Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T20:11:25.542451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 60c83dee-3d47-4b5f-b87b-3255bc351529 · outbound
This paper cites Lookahead path likelihood optimization for diffusion llms.arXiv preprint arXiv:2602.03496, 2026.
Understanding Evaluation Illusion in Diffusion Large Language Models Lookahead path likelihood optimization for diffusion llms.arXiv preprint arXiv:2602.03496, 2026
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:22.855856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2184f1ec-dedd-49ac-811b-d6773ac3d741 · outbound
This paper cites dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.
Understanding Evaluation Illusion in Diffusion Large Language Models dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T20:57:22.843369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a9e9a8b-f400-45fa-a5ea-911b010536f6 · outbound
This paper cites Semantic-aware diffusion LLM inference with adaptive block size.
Understanding Evaluation Illusion in Diffusion Large Language Models Semantic-aware diffusion LLM inference with adaptive block size
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.546617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2846890f-75e2-405d-a852-2cd592de5106 · outbound
This paper cites Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity.
Understanding Evaluation Illusion in Diffusion Large Language Models Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.550592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5e80e11a-5fc8-4cd8-b6e5-eb560432b564 · outbound
This paper cites dKV-cache: The cache for diffusion language models.
Understanding Evaluation Illusion in Diffusion Large Language Models dKV-cache: The cache for diffusion language models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.560943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c8fe31be-69a5-41ea-8675-20165d279b07 · outbound
This paper cites State of what art? a call for multi-prompt llm evaluation.Transactions of the Association for Computational Linguistics, 12:933–949.
Understanding Evaluation Illusion in Diffusion Large Language Models State of what art? a call for multi-prompt llm evaluation.Transactions of the Association for Computational Linguistics, 12:933–949
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.521604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 57c9b39b-b346-42c2-8e5b-eed7136ae9e1 · outbound
This paper cites Attention is all you need for KV cache in diffusion LLMs.
Understanding Evaluation Illusion in Diffusion Large Language Models Attention is all you need for KV cache in diffusion LLMs
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.528098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e6bfb0d5-c6fd-428d-be8f-7609fdeeebe4 · outbound
This paper cites Large language diffusion models.
Understanding Evaluation Illusion in Diffusion Large Language Models Large language diffusion models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.502675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2c9f9bea-b76f-43e6-bbf6-0d2a7c7a5416 · outbound
This paper cites True few-shot learning with language models.
Understanding Evaluation Illusion in Diffusion Large Language Models True few-shot learning with language models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.523650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 76a4d9fe-fd71-4ec4-9082-a3a0a179032e · outbound
This paper cites Efficient multi-prompt evaluation of llms.Advances in Neural Information Processing Systems, 37:22483–22512, 2024.
Understanding Evaluation Illusion in Diffusion Large Language Models Efficient multi-prompt evaluation of llms.Advances in Neural Information Processing Systems, 37:22483–22512, 2024
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.496846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 14581b51-4027-42fa-85c5-b98f2de54845 · outbound
This paper cites Benchmarking prompt sensitivity in large language models.
Understanding Evaluation Illusion in Diffusion Large Language Models Benchmarking prompt sensitivity in large language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.498913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9aef1f17-a426-46e3-8708-b2606cb67383 · outbound
This paper cites Toward the evaluation of large language models considering score variance across instruction templates.
Understanding Evaluation Illusion in Diffusion Large Language Models Toward the evaluation of large language models considering score variance across instruction templates
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.492666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d6be8690-71e8-443c-a301-5e5cedcb750f · outbound
This paper cites Quantifying language models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting.
Understanding Evaluation Illusion in Diffusion Large Language Models Quantifying language models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.494803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1077063-ba00-4aff-b7d2-84d3555fcdd9 · outbound
This paper cites Sparse-dllm: Accelerating diffusion llms with dynamic cache eviction.
Understanding Evaluation Illusion in Diffusion Large Language Models Sparse-dllm: Accelerating diffusion llms with dynamic cache eviction
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.500812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7e45acb2-4c61-42f0-a477-a779c9a8bda1 · outbound
This paper cites Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
Understanding Evaluation Illusion in Diffusion Large Language Models Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:22.851078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 06facae8-2789-4082-a710-01d229cc752e · outbound
This paper cites an unresolved cited work.
Understanding Evaluation Illusion in Diffusion Large Language Models Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T20:11:25.488837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 85453edd-0220-4ea4-a3bf-e0d2f31f24c4 · outbound
This paper cites Accelerating diffusion large language models with slowfast sam- pling: The three golden principles.
Understanding Evaluation Illusion in Diffusion Large Language Models Accelerating diffusion large language models with slowfast sam- pling: The three golden principles
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.490703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b256954d-3439-494e-a6fa-513a8fbcb66b · outbound
This paper cites Fast-dLLM: Training-free acceleration of diffusion LLM by enabling KV cache and parallel decoding.
Understanding Evaluation Illusion in Diffusion Large Language Models Fast-dLLM: Training-free acceleration of diffusion LLM by enabling KV cache and parallel decoding
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.563276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3840f46a-f7ba-4b27-8549-19842acd001c · outbound
This paper cites Free draft-and-verification: Toward lossless parallel decoding for diffusion large language models.
Understanding Evaluation Illusion in Diffusion Large Language Models Free draft-and-verification: Toward lossless parallel decoding for diffusion large language models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.526118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad2c0745-4837-43ed-ac2c-f07f80d4987e · outbound
This paper cites Dynamic-dLLM: Dynamic cache-budget and adaptive parallel decoding for training-free acceleration of diffusion LLM.
Understanding Evaluation Illusion in Diffusion Large Language Models Dynamic-dLLM: Dynamic cache-budget and adaptive parallel decoding for training-free acceleration of diffusion LLM
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.484555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4d096d41-4ba2-4afd-a24c-76e5ec7a62a9 · outbound
This paper cites Dream 7B: Diffusion Large Language Models.
Understanding Evaluation Illusion in Diffusion Large Language Models Dream 7B: Diffusion Large Language Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:22.863643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5535ee26-9025-4499-94f6-be558acc9293 · outbound
This paper cites Understanding and mitigating numerical sources of nondeterminism in LLM inference.
Understanding Evaluation Illusion in Diffusion Large Language Models Understanding and mitigating numerical sources of nondeterminism in LLM inference
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.486918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d61a09ba-8444-4e5f-83ef-2f238ea7866c · outbound
This paper cites Calibrate before use: Improving few-shot performance of language models.
Understanding Evaluation Illusion in Diffusion Large Language Models Calibrate before use: Improving few-shot performance of language models
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.482307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c2ba60f-5070-4e41-828c-b1f9f8ac58f9 · outbound
This paper cites Parallel-probe: Towards efficient parallel thinking via 2d probing.
Understanding Evaluation Illusion in Diffusion Large Language Models Parallel-probe: Towards efficient parallel thinking via 2d probing
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:22.845196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 37570d06-c752-467d-8ef8-ac60550f6cb3 · outbound
This paper cites LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.
Understanding Evaluation Illusion in Diffusion Large Language Models LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:22.863173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 35fb1e56-225b-436e-9071-df08c97c6142 · outbound
This paper cites Promptrobust: Towards evaluating the robustness of large language models on adversarial prompts.
Understanding Evaluation Illusion in Diffusion Large Language Models Promptrobust: Towards evaluating the robustness of large language models on adversarial prompts
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T20:11:25.480550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ac9e56ba-2b0f-434d-b30d-09e005314c68 · outbound
This paper cites Es-dllm: Efficient inference for diffusion large language models by early-skipping.
Understanding Evaluation Illusion in Diffusion Large Language Models Es-dllm: Efficient inference for diffusion large language models by early-skipping
Reference 44
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-02T20:57:22.845954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.