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Paper Citation Record · LEDGER

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 6 inbound Pith citation observations for arXiv:2411.18447.

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

pith.paper-citation-record.v1
2411.18447 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:14:10.119774Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:16:00.389285Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:06:39.360538Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe3cc9af-b5e7-478e-a40c-c37af2b7b975 · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Language models are unsupervised multitask learners, 2019

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.318949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.054168Z digest=sha256:0460701311fcac7dcf25b69048a61607b5d81df2b85a87b53c02a16256023744

Observation c198089e-09cc-40a1-8067-b93f67e2ce1e · outbound

This paper cites an unresolved cited work.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-12T11:14:10.058835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.058835Z digest=sha256:1ba5d8dd3a24a86c01c00de8e90ce9d52bcd07dbbd7beea1063a4ddc7ff34219

Observation f9eee347-2724-40d5-83e3-b60771dc52b5 · outbound

This paper cites Neural discrete representation learning.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Neural discrete representation learning

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.306873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.061528Z digest=sha256:e709fd07d9a5f2c8dd805c801c3247292d96136ff418fa3e9d362640f4c6e22f

Observation 6eb7af7f-7cf2-45cf-8bea-1dea903ad690 · outbound

This paper cites Finite scalar quantization: VQ-V AE made simple.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Finite scalar quantization: VQ-V AE made simple

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.297496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.064543Z digest=sha256:b2d1789fd316de59150c9f4ef896bfb3ce6b3af377c5d2d011af4dd5cb77bb58

Observation cfe35470-3030-4f0c-aa07-6b4b3dcee38c · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Autoregressive Image Generation without Vector Quantization

Reference 5

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unresolved
no resolver link, observed 2026-08-12T11:14:10.067397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.067397Z digest=sha256:5dad5c4b6f0f33b70c246084233ce2bec487453cc95aafa610fdba082d691110

Observation ae5a1348-5fe6-4dd8-a785-89174448c27f · outbound

This paper cites GIVT: Generative Infinite-Vocabulary Transformers.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation GIVT: Generative Infinite-Vocabulary Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.070806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.070806Z digest=sha256:4fbc8c1b9eb13d462030f9b9bc0ab08ba0f3a6df3036049cef698854e8d4dab3

Observation e0b12454-3dbf-499e-9474-f8c715cd1ffa · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Fast Transformer Decoding: One Write-Head is All You Need

Reference 7

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unresolved
no resolver link, observed 2026-08-12T11:14:10.074337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.074337Z digest=sha256:5eb2926ed2a767d962d2071bfc1e98456006cf93c2a44e6491e8a5c3dc709f4c

Observation 072e9b0c-9cd5-464d-bef1-3c076caf07a9 · outbound

This paper cites Attention is all you need.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Attention is all you need

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.288759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.077490Z digest=sha256:f8adf6eecc7c564963e34d6ad4d90895684407946d04c06b9646e1e32a0f7451

Observation 200611ff-35fa-4719-80d0-8b8181653bbe · outbound

This paper cites Improving language understanding by generative pre-training, 2018.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Improving language understanding by generative pre-training, 2018

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.079962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.079962Z digest=sha256:9fe5c0f62748d6195dea831006902f8287b0d8aa755cb9a22b8a52141b6dffd9

Observation 9ba8eaee-9b75-4556-b8db-6bd8c80ec2d2 · outbound

This paper cites Pixel recurrent neural networks.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Pixel recurrent neural networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.274695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.083234Z digest=sha256:212eaed907718d20997453984d1cbd18ae5237c176b4e54082b7861fea894ca2

Observation 34e96e1e-47e8-46bd-86a9-450eb95fed89 · outbound

This paper cites WaveNet: A generative model for raw audio.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation WaveNet: A generative model for raw audio

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.265845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.085885Z digest=sha256:fd5696fbf1c8134311f7510a9fd13616175e4950cd6440f2237031c6e1f2e1ca

Observation 97e26e32-644c-449f-8b70-94960220d43c · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Taming transformers for high-resolution image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.256103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.089165Z digest=sha256:62d811930bdee80bfc53a201cedc1ba2f2d3927461fa177403d29b9d8f2dd089

Observation 5da9f379-26b0-41aa-a138-a62934b0a96e · outbound

This paper cites Maskgit: Masked generative image transformer.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Maskgit: Masked generative image transformer

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.246347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.091968Z digest=sha256:b5b6f1d0d01439dedf7f05ed4ce9a6e4407d5c24bbcc678b11274da0de77475e

Observation 021b50e7-9533-4101-998a-4bd6530e1416 · outbound

This paper cites Jukebox: A Generative Model for Music.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Jukebox: A Generative Model for Music

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.094733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.094733Z digest=sha256:782ddcc3d8c4c58efc15818f329a83c26e09aa96ca8d4e3e3def95d319e07e95

Observation c73501f1-2b8a-416b-b589-aaffdb410fc8 · outbound

This paper cites Simple and Controllable Music Generation.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Simple and Controllable Music Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.098098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.098098Z digest=sha256:7c7d9d729026789e49e11bde385a6f51b2c05a1a8952d53e306b0a782654767c

Observation 9842e052-f8a3-45e6-ab30-f078092ff930 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.100476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.100476Z digest=sha256:047b99c0bc9b1e19bddec2c6c7f91d9ad0ad5d34b226c5cbf89c64ff95a189ed

Observation d0f66572-9c6a-44dc-9fbe-71a753268809 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.103323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.103323Z digest=sha256:7c26e25ebe0d83dcd5328cd511145ad0d3a93b412a6a9c82be6f39c5065a0ae7

Observation f6f901b1-e65a-42e0-a75f-4660c81119d4 · outbound

This paper cites Music2Latent: Consistency Autoencoders for Latent Audio Compression.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Music2Latent: Consistency Autoencoders for Latent Audio Compression

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.106729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.106729Z digest=sha256:094dab3159741d50cbedd73748bff46f35e4b825d2dd8915475f180ed8e4e5cc

Observation 76f015a5-a6e7-423d-8ca0-7d8f6f5d93f5 · outbound

This paper cites Scalable diffusion models with transformers.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Scalable diffusion models with transformers

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.232912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.109272Z digest=sha256:2048f9600617261b2b14b75c81c302fb13917fff625b8808d0c7b3b3b29e5fd6

Observation 875af0ea-a79c-470f-8d4c-94d9a28aaf5f · outbound

This paper cites Decoupled weight decay regularization.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Decoupled weight decay regularization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T11:14:10.111652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.111652Z digest=sha256:0222ca4e88456210195edd81cd849a24182b670a0f9567a4f2b1616273e4d766

Observation d0b58bb7-25f9-48eb-966b-a46bf865a9e2 · outbound

This paper cites Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.218114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.114344Z digest=sha256:a3fcad77e317b032cb7bc05a8649a1b452a2663d37fc86da183ac002c541d787

Observation f2d9ebd3-bce9-437f-a0f0-c4b8e5a5013d · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:14:10.207982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:14:10.117088Z digest=sha256:5126313a1fbc2803ad868fc24ba21bbd28d1ef7658894fc829661f6b25f1964f

Observation ccf13155-b3ed-4702-9ee1-9261752fa672 · outbound

This paper cites Correlation of Fr\'echet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant.

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation Correlation of Fr\'echet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant

Reference 23

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unresolved
no resolver link, observed 2026-08-12T11:14:10.119774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:14:10.119774Z digest=sha256:2d2040d26459d86e4b2893ad5fc324b40b1a148e964dc6be4cda5240e7a338f1

Pith citing papers

Observation a035de4e-ab42-4b8b-acc9-0e8a4cd7fe1a · inbound

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T05:02:19.666378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T05:01:11.880003Z digest=sha256:b69484c3932a001efff326bb80b2fd5dbb04380cca0e242bf2f60ba98f094717

Observation 064fc311-4363-4b6c-a838-d24a116a8caf · inbound

TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model cites this paper.

TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:25:57.512745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T03:22:08.070920Z digest=sha256:2149a33d12bfeb5b6d5e1989c0eded267296e7a361c6a7518d2ff9b84e88ae83

Observation e36f5ed5-e439-4840-807b-e1d2aa440b22 · inbound

SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis cites this paper.

SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T19:02:43.580571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T18:58:15.288299Z digest=sha256:3cff5d0c7ea21d9bfb977170f156191e2b0ad1b06020de4807d1f00205e092f5

Observation 5a1fb1d4-75b2-4043-8363-3943369d6ba1 · inbound

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators cites this paper.

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-22T03:25:59.008341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T03:24:50.604019Z digest=sha256:cd4221346aa364cc2311f96110f0f35e16deaa4b24d5ac125ebed74fea8e4712

Observation a3e1b58c-61f6-4183-a0ef-7f2d59653bac · inbound

Adversarial Error Correction for Visual Autoregressive Generation cites this paper.

Adversarial Error Correction for Visual Autoregressive Generation Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:39.145677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:a1aa20ac39a0fa3d32ed5056cd85119972dee21f3c03fc555384e74ee7734235

Observation 3ace4059-0baa-4e47-a4d2-b6cf80c213c8 · inbound

LiveBand: Live Accompaniment Generation in the Audio Domain cites this paper.

LiveBand: Live Accompaniment Generation in the Audio Domain Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T05:06:39.362669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T08:36:13.589077Z digest=sha256:99c3e1d5eac25fb37e7ffeeb16e7d566efc21066ae0ccb22323ebdf55c14a79d