Pith. sign in

Paper Citation Record · LEDGER

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

As of 18 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 2026-08-18T06:34:40.430872+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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.054168Z digest=sha256:9e86ce6060e7ad8a2dd5df810bb158f6f6f8453607cc70d1cb5ec2ffe9e63da5

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

Resolution
unresolved
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=sha256:661912cd158563f77c892486f9388b0d735d704427c31227d4288768d526f4cd

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.061528Z digest=sha256:4bf5d9397b35e197471a3635dc1f66be6c239e2652ed5cd0d16700750b32510f

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.064543Z digest=sha256:f72179c1f021596f576e1d529963599ca8b22f4368c21306c076e8ca6d9b6a97

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

Resolution
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=sha256:095c1a240df898bcc5869b9ae5e12c6ee23e05d8ed697e4a226e32ed99c334b0

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=sha256:2254e8c7ac356b141f9451a086531bf9d1d74f3ac409c9e86df8b440420bc1f3

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

Resolution
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=sha256:7240306d093fca178367a4a0d0745d157a426cb13f868684291e34b3d8b033fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.077490Z digest=sha256:5452b50a1bab20dfc51a717ec42cab660a53e88222ddd59c2273b8fe31002eea

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=sha256:91f1e2492d399f8ff1550ac92fccd7c213f0aa5efa3bd0f2da128dccc4a1ae67

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.083234Z digest=sha256:d402ff4b5cd591b5dfd9d140c9ce7fe6f71a3dfa4e0bd85a0b6b772c64c20441

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.085885Z digest=sha256:8e112b2d6064ba1c252c11998b467e5ea825f8d2cb04b9cd7f0bac99b7f7588a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.089165Z digest=sha256:f205f9efbaffa4b456d64926f277a25ff2112e47f73f3f8fec04bfa2c3196b36

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.091968Z digest=sha256:1977928fad8e9bec58a5a20f727c87fcd9b605e090791d7fc1b39e42624fd6a5

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=sha256:113bab93c68051430c6a662e26a8b5d4eaebb9238084702be4359c2ed18dfa1a

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:a76ad9c2f6c570c25333f81a67e625584036825a2a5328807dc636f5a773e4a5

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:ddd2eafe77ce4256049b5926758ede8f19bff093e364c363ff81da45cb29426b

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:c0b9e63c1a6023c129c87e304244420dc9b02a097dee02ead618025d3042ecac

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:df7c3964cb9588f625245a3061d54f8c91f94ece6bbe1441b044aaa18146cde5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.109272Z digest=sha256:4a833c3a782647ae9921b165ce7a74acbfd27420b2e4858a613f4b041572eb0c

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:def3346e43819ae7793e98c2ef1bbae459f0ad7822013a656c2395a5185365d2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.114344Z digest=sha256:e6ba5f09649559f68ad85938e1726105ea261d182a7f472ec24136d9e85664c7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:14:10.117088Z digest=sha256:d19f1af55b8b997c253ae293545f47d8a806e6f338de32ef49af6c0ec20c8df7

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

Resolution
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=sha256:85d014a60c97fab65fcc7042647c07c2cae85eb0debdafb5b2534c52b701df9d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T05:01:11.880003Z digest=sha256:6700380346b1907630524ceaa03d417f0a3e226b16865a6921493e9e6c66c8c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T03:22:08.070920Z digest=sha256:3adf49bfbd0d93cef8460bc07d6ff5e231133a3bcbdbbe442b60ecc507c2e3ee

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T18:58:15.288299Z digest=sha256:ee66850a3a0a95e20cd98cbd0f1fb1d0d0adddffb6d921d59b461ad6c5b6aaa9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T03:24:50.604019Z digest=sha256:20589298de0cba29b89f102a9024adc0b32df1f9b37d5340363174f8ab3f68fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T12:16:00.389285Z digest=sha256:c6b81e3d5bcb2e277bb2f192fdb31ed6d7c341b8b58f7b35e3628b136a4a904f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T08:36:13.589077Z digest=sha256:16ea6cf147cad04690d1c624a01cf7745e9cabe6d79103742f2acccbfd0c7aba