Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2601.07568.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T03:04:12.500342Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation b5ff38a1-6260-4f5a-a9d8-9310debbaa6b · inbound
TEAM: Temporal-Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 18
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 cd8b1bf5-0979-4c2e-9a32-0903feb7cac3 · inbound
DMax: Aggressive Parallel Decoding for dLLMs d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 62
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 4c26be6a-c22a-4d2f-a2f7-5cb1d719764f · inbound
DMax: Aggressive Parallel Decoding for dLLMs d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 62
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 f30fac09-ce9e-4cd4-8423-2065689582e6 · inbound
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 36
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 1ee97c66-ba83-4eb0-8680-cec3bd1db727 · inbound
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 36
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 6bd3e238-6806-4f66-b94f-3bed1a83e9a4 · inbound
TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 9
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 f7311bcb-cf23-421d-b350-8b18ce55e265 · inbound
Supportive Token Revealing for Fast Diffusion Language Model Decoding d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 5
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 a8219478-9671-488b-9c4b-c40350dc3711 · inbound
AsyncLane: Decoupling Refinement from Advancement in Diffusion Language Model Decoding d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 15
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 0919f8c1-5c12-43a7-ae68-762ad0ec3f3a · inbound
Learning from the Self-future: On-policy Self-distillation for dLLMs d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 20
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 7d84af52-448a-4916-a782-61069810c93c · inbound
JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 35
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 961d46b0-bd76-4b90-bc32-731911991abf · inbound
PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 35
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 dda8b955-f788-4fb9-9517-7c3832a6c126 · inbound
Improved Large Language Diffusion Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 31
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 31c23123-4bc0-442c-990e-c26e863ae76f · inbound
Multi-Block Diffusion Language Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 41
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 283229b8-66b9-4cb0-a59c-d22c28d820e4 · inbound
Multi-Block Diffusion Language Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 41
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 ca3b104d-5bff-450a-bbdd-36f71b15759b · inbound
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Reference 67
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.