Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.11837.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:18.403349Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:08:37.450322Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation dee18e11-8a7f-4bf7-bd7a-55144e5b916e · inbound
UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0468529-a537-472a-aa38-067c6e842efa · inbound
MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6459ee8c-5f34-43d2-9b3e-5fba6bd2d812 · inbound
UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 87
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9739bb18-d759-4093-91f0-3834a5dc1c86 · inbound
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c5cddd5-da6d-4fec-a0e4-672898b727ba · inbound
Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 750424a1-162d-4ad8-82f6-b5b90669c3c6 · inbound
Quantize-then-Rectify: Efficient VQ-VAE Training Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c1944f5-a9c2-48ea-8d90-fe0410a0f41e · inbound
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a92f15a-bb73-4e1a-a97a-1392246486f9 · inbound
Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 46
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.
Observation f2e809a6-712a-4268-aa3a-68b685ee27ce · inbound
Vision Foundation Models as Generalist Tokenizers for Image Generation Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 103
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.
Observation 298bf8bd-f40b-41b5-965e-dc8a8efac37b · inbound
HiTokSR: A Coarse-to-Fine Tokenizer with Hierarchical Codebooks for High-Fidelity Real-World Image Super-Resolution Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 48
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.
Observation 80afaa1a-edb8-48a5-bfd4-a95221c22ac1 · inbound
IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 74
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.
Observation 526adc27-5157-4f46-b302-46da018cc692 · inbound
NSVQ: Mitigating Codebook Collapse by Stabilizing Encoder Drift in Vector Quantization Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 21
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.
Observation 50a5e554-ca50-4fcc-b637-0521da0cabc8 · inbound
Self-Guidance: Enhancing Neural Codecs via Decoder Manifold Alignment Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Reference 143
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.