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Paper Citation Record · LEDGER

Autoregressive Text Generation Beyond Feedback Loops

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:1908.11658.

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

pith.paper-citation-record.v1
1908.11658 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:15:48.018070Z

measured 47 of 47 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:54.616696Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:55:54.752238Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact5
  • verified fuzzy1
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d6d5ee4-8dc6-417d-a096-5bfb36c02e3f · outbound

This paper cites URL: " 'urlintro :=.

Autoregressive Text Generation Beyond Feedback Loops URL: " 'urlintro :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.784851Z digest=sha256:0ff26099450af82289cb11e9c226f63714e71330d43a7c2878466c10f8fd72db

Observation dd02b003-5261-4aeb-ad18-97998f7d5896 · outbound

This paper cites write newline.

Autoregressive Text Generation Beyond Feedback Loops write newline

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.790687Z digest=sha256:1da15c27db15b90fa78b5284bb0342af8d3eb19911f884d34a579ebe38747a36

Observation 80373038-c13d-47e6-8a5d-32827f10e554 · outbound

This paper cites Globally Normalized Transition-Based Neural Networks.

Autoregressive Text Generation Beyond Feedback Loops Globally Normalized Transition-Based Neural Networks

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.798059Z digest=sha256:5b203ce200920967d8be39960a7207b053f03fe68fd2f2661fc7f2d356fd7da3

Observation 44f80304-4c2f-42e2-8b1a-7a0ef20ef26a · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Autoregressive Text Generation Beyond Feedback Loops Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

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no resolver link, observed 2026-08-14T10:15:47.803326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.803326Z digest=sha256:a18662bdc172a1bf0a36a8004bfcc39a635eae738756865af97cff94f3cefd66

Observation 9b8c4b01-6d2c-4c72-8537-efc46b33452d · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-14T10:15:48.960939Z

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=arxiv_source observed=2026-08-14T10:15:47.808979Z digest=sha256:50d70bacec88fbf76cd6020f4ba3b1a81165d3437d565348e636276224c0a822

Observation eed4635d-e12e-44af-a2c4-125cbc0e009f · outbound

This paper cites Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

Autoregressive Text Generation Beyond Feedback Loops Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.813940Z digest=sha256:ed3246e40bca3c4a4d9a50b6ae54930216428107c4c4b5d58a9ffeaf86dae466

Observation e42a6068-b599-403e-b257-8d57cab3f31f · outbound

This paper cites Variational Inference: A Review for Statisticians.

Autoregressive Text Generation Beyond Feedback Loops Variational Inference: A Review for Statisticians

Reference 7

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no resolver link, observed 2026-08-14T10:15:47.819352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.819352Z digest=sha256:ec920e686154c26e8d10b6e5aaf7d5eb1f930bc73f6eed497ca8c5f0c6051662

Observation 1c6a1935-fbd4-4f20-b009-b53e31cd4c84 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-14T10:15:48.940915Z

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=arxiv_source observed=2026-08-14T10:15:47.824544Z digest=sha256:adfcda237feab74184f7db2a0478094044526a41e5872c5b2dd7bd2f49989782

Observation f67d76d3-0cf0-4cdb-a838-404e16d7daf6 · outbound

This paper cites Generating Sentences from a Continuous Space.

Autoregressive Text Generation Beyond Feedback Loops Generating Sentences from a Continuous Space

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.830421Z digest=sha256:6453b57196267d157e41c71a889cce8d3a3a909f8c45d58ba0ea9f73625c14b4

Observation 9bd5f073-fef2-4f39-9cae-adefcac6e9ce · outbound

This paper cites Language GANs Falling Short.

Autoregressive Text Generation Beyond Feedback Loops Language GANs Falling Short

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T10:15:47.835199Z digest=sha256:601ad441aa25839563239568f5fbac6c44efe0742f836065fce9524cc85873d7

Observation 975cae89-ec60-4fcb-84ee-912cb23a7112 · outbound

This paper cites Learning Graphical Model Parameters with Approximate Marginal Inference.

Autoregressive Text Generation Beyond Feedback Loops Learning Graphical Model Parameters with Approximate Marginal Inference

Reference 11

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verified exact
local_arxiv, observed 2026-08-14T10:15:48.621114Z

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.

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Observation 57ffd2b7-0f4a-46f6-96ab-e9e1100dd320 · outbound

This paper cites MaskGAN: Better Text Generation via Filling in the______.

Autoregressive Text Generation Beyond Feedback Loops MaskGAN: Better Text Generation via Filling in the______

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.846543Z digest=sha256:a29c346cd7d69150eb4a4429e41513f444eae0e2fb5705d7b8c7a715f579f721

Observation cd417a5e-fe80-453b-84d5-26371644961e · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-14T10:15:48.918653Z

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.

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Observation c3708f07-1b82-48b9-927a-27c836d0bf4b · outbound

This paper cites Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding.

Autoregressive Text Generation Beyond Feedback Loops Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding

Reference 14

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verified exact
local_arxiv, observed 2026-08-14T10:15:48.572927Z

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=arxiv_source observed=2026-08-14T10:15:47.855985Z digest=sha256:88e309f6fd72258c6b06abeffdab904737991ce51440f57656821dc47790e5c2

Observation 0b3e486c-b565-40ef-a2b3-2777368c5750 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 15

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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=arxiv_source observed=2026-08-14T10:15:47.860827Z digest=sha256:3fd063af007dbcb75fee9cd5d0802acb598be83c2ed61629560f70dad4863bd6

Observation 4d838258-d976-4400-8c6e-717994415a52 · outbound

This paper cites Courville, and Yoshua Bengio.

Autoregressive Text Generation Beyond Feedback Loops Courville, and Yoshua Bengio

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-14T10:15:48.885533Z

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=arxiv_source observed=2026-08-14T10:15:47.865505Z digest=sha256:2563214895b22a33e1c8ca31b775d5660cc0aaa76f64cafb3cb36c88fbad4c15

Observation b9aab509-90bd-42f6-b03f-6ba3afb1ef94 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-14T10:15:48.870441Z

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=arxiv_source observed=2026-08-14T10:15:47.870194Z digest=sha256:a8ea5cbf6362a3aba816742f9543dc5e2b0c7c38ea21235d35d78000023e2541

Observation 367b7113-48e6-467d-ad6f-0a217c65ae1a · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

Autoregressive Text Generation Beyond Feedback Loops Generating Sequences With Recurrent Neural Networks

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.874572Z digest=sha256:fd22fe42ca38c7eb103951759411106c61a25458de5c973e7cede6cd2b854f7e

Observation b0a2cf3b-8ec7-4ba0-aee9-e68374267554 · outbound

This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Autoregressive Text Generation Beyond Feedback Loops Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 19

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no resolver link, observed 2026-08-14T10:15:47.879597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.879597Z digest=sha256:b04248951fdd7f774c2dde218616665cc85ed5283f477f9c6569c4986321885d

Observation 809b8d1e-bafb-47a3-bba8-77820c5d6c4d · outbound

This paper cites Structured Attention Networks.

Autoregressive Text Generation Beyond Feedback Loops Structured Attention Networks

Reference 20

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no resolver link, observed 2026-08-14T10:15:47.885258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.885258Z digest=sha256:dcc4ade03f09d69053fc53d31c0d66af6f0dc3b08b1f9c3d7c7ef8fabf21f29c

Observation 1e6d78c3-61d9-4a3c-ba47-422cf7168670 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Autoregressive Text Generation Beyond Feedback Loops Adam: A Method for Stochastic Optimization

Reference 21

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no resolver link, observed 2026-08-14T10:15:47.890108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.890108Z digest=sha256:3dd9eec4294c989a58cbd2f2f205c30c9e7a44831e27caaf9b8fcf1ac3bb78fd

Observation 53076e43-5860-48f0-b94c-9e3a3810bd24 · outbound

This paper cites Improving Variational Inference with Inverse Autoregressive Flow.

Autoregressive Text Generation Beyond Feedback Loops Improving Variational Inference with Inverse Autoregressive Flow

Reference 22

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no resolver link, observed 2026-08-14T10:15:47.895093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.895093Z digest=sha256:cbc37e9d2a39e0b422bcf8db95c18ff756e7efbe0d9116cc709fca74dfc5b942

Observation 1e5bfd0b-a4b4-41e3-b38a-5a8f622b563d · outbound

This paper cites Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials.

Autoregressive Text Generation Beyond Feedback Loops Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Reference 23

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no resolver link, observed 2026-08-14T10:15:47.899929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.899929Z digest=sha256:ff60333e02b6eef12a5621a162824332d956d40b65c98f8ad074d94665d9e471

Observation 2a4712ec-2577-4aea-9234-6400e79173b1 · outbound

This paper cites SEARNN: Training RNNs with Global-Local Losses.

Autoregressive Text Generation Beyond Feedback Loops SEARNN: Training RNNs with Global-Local Losses

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:15:48.444877Z

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=arxiv_source observed=2026-08-14T10:15:47.904769Z digest=sha256:81a927a6cdb46dd3f3f11dbf459ddcb5bc9cb1bf48f9f02d17e9fd759647901f

Observation badfd957-2ff7-4115-bc3b-e2ae69cf7783 · outbound

This paper cites Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.

Autoregressive Text Generation Beyond Feedback Loops Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.909226Z digest=sha256:28714c14cd5a926c822960cdb377dd2baa8b50f692460565f10b63ee9b239885

Observation e2ec4353-da78-41e7-8517-3be1b27a039b · outbound

This paper cites Latent Normalizing Flows for Discrete Sequences.

Autoregressive Text Generation Beyond Feedback Loops Latent Normalizing Flows for Discrete Sequences

Reference 26

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no resolver link, observed 2026-08-14T10:15:47.913868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.913868Z digest=sha256:a83e5ae1fbe5fd103b0de3112e6caeb927ba7a8b3082b38dfb4789d9426c9ad2

Observation 949e0c9e-54ab-4dd6-b1b3-c20121d3c9e0 · outbound

This paper cites End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF.

Autoregressive Text Generation Beyond Feedback Loops End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Reference 27

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no resolver link, observed 2026-08-14T10:15:47.919329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.919329Z digest=sha256:4e5ca2aa5b45b18a60ed779b61ad697909959f8c9861757659014b38b6d522ef

Observation 441c4e58-5ddc-4432-ae67-7048f896415e · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-14T10:15:48.853969Z

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.

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Observation 1b86da66-cc4e-4a26-b661-947d5bbdb687 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-14T10:15:48.835936Z

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=arxiv_source observed=2026-08-14T10:15:47.930727Z digest=sha256:5a6d2e1afb5658b9610b8e33f8aedac752c50be1109e95caf58ff1e8c4879841

Observation 9a273bb7-d2e3-4480-98ec-b445c28024a7 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:15:48.816499Z

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=arxiv_source observed=2026-08-14T10:15:47.935303Z digest=sha256:c0e19f50f9ffddcc6dfbb0e58a70520a0cb2ed528d6874011a281c28b9a7b44f

Observation 8594d627-37a9-48bb-bbf9-e13523488e11 · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Autoregressive Text Generation Beyond Feedback Loops Sequence Level Training with Recurrent Neural Networks

Reference 31

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no resolver link, observed 2026-08-14T10:15:47.940397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.940397Z digest=sha256:0af473cbaec66919eaa148c0acfe8075e3af925676cf3c0dd68d376f8024c41e

Observation c72f826f-97d7-40c6-9cac-662aece1fa4b · outbound

This paper cites Self-critical Sequence Training for Image Captioning.

Autoregressive Text Generation Beyond Feedback Loops Self-critical Sequence Training for Image Captioning

Reference 32

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no resolver link, observed 2026-08-14T10:15:47.945560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.945560Z digest=sha256:57a34be61fb23479614885911c56cd6ff3758b08cc13b368102fb846f3733aea

Observation 954d019b-1d5a-4d83-ac71-e8dc5777d373 · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Autoregressive Text Generation Beyond Feedback Loops Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.950903Z digest=sha256:88b2d44dc5da8d65bf609d19fabc2ba632fb81590fc05f64c84eb7eff323a57e

Observation e3e5aa06-8b7f-4a8e-b688-7bf537046537 · outbound

This paper cites A Neural Attention Model for Abstractive Sentence Summarization.

Autoregressive Text Generation Beyond Feedback Loops A Neural Attention Model for Abstractive Sentence Summarization

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.956102Z digest=sha256:0e7ab4c6aed954a2ebedc058cffeda65ddc0e19e8ee28bac0ff14a8899672816

Observation ca2f80e3-3ed8-4891-b886-f7b2e4badd69 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-14T10:15:48.799145Z

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=arxiv_source observed=2026-08-14T10:15:47.961508Z digest=sha256:2ddf71a8a8eac66012da159acce60d62d674ee4d742fb56ec46b8e77a110d378

Observation ef1a947c-4400-4eeb-b438-bc3ec75fb7f8 · outbound

This paper cites On Accurate Evaluation of GANs for Language Generation.

Autoregressive Text Generation Beyond Feedback Loops On Accurate Evaluation of GANs for Language Generation

Reference 36

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no resolver link, observed 2026-08-14T10:15:47.966187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.966187Z digest=sha256:61a22dd99a63a3c2b2c85a068e794c0198a7f890e5ba9201872d8df02c213ccd

Observation ba5d4f05-55ea-4073-92d5-85f58e700371 · outbound

This paper cites Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.

Autoregressive Text Generation Beyond Feedback Loops Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

Reference 37

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no resolver link, observed 2026-08-14T10:15:47.971174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.971174Z digest=sha256:de24df4c974b9f668bc915e68a15f020aa598eebed30b8dbc5c6e5e0cc6f17b9

Observation 81bd873d-3f09-4ce1-8558-0bc971395c6b · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-14T10:15:48.783891Z

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=arxiv_source observed=2026-08-14T10:15:47.976205Z digest=sha256:88a6cc344e1c4f3a55be2d67a2f3d48933bead2afc2c37985f536ce85f2fd0f8

Observation ecd885f0-cb73-4146-b6bb-b99af66f4235 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 39

Resolution
unresolved
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Observation f7757faf-657d-4f0f-bbe8-3296fe7e8333 · outbound

This paper cites an unresolved cited work.

Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 40

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d6cb756-4251-456f-8b32-3a99b02222c1 · outbound

This paper cites Neural Machine Translation with Reconstruction.

Autoregressive Text Generation Beyond Feedback Loops Neural Machine Translation with Reconstruction

Reference 41

Resolution
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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.

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Observation 7fd3038b-d476-4823-a8e2-8d309adb799b · outbound

This paper cites Attention Is All You Need.

Autoregressive Text Generation Beyond Feedback Loops Attention Is All You Need

Reference 42

Resolution
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no resolver link, observed 2026-08-14T10:15:47.997412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3d79961-6419-4ba6-a8b9-f93f2019335b · outbound

This paper cites Sequence-to-Sequence Learning as Beam-Search Optimization.

Autoregressive Text Generation Beyond Feedback Loops Sequence-to-Sequence Learning as Beam-Search Optimization

Reference 43

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44e9c586-c2cf-416b-a7e0-af4af93ab737 · outbound

This paper cites DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.

Autoregressive Text Generation Beyond Feedback Loops DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text

Reference 44

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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This paper cites SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.

Autoregressive Text Generation Beyond Feedback Loops SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Reference 45

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d11debe0-6aa7-4b82-bd0d-e411372162fb · outbound

This paper cites Advances in Variational Inference.

Autoregressive Text Generation Beyond Feedback Loops Advances in Variational Inference

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation cd05a005-3a70-45cc-88b2-11b9bf3a89f0 · inbound

Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models cites this paper.

Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models Autoregressive Text Generation Beyond Feedback Loops

Reference 25

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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