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Paper Citation Record · LEDGER

Autoregressive Text Generation Beyond Feedback Loops

As of 17 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 2026-08-16T06:30:59.297886+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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no resolver link, observed 2026-08-14T10:15:47.784851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.784851Z digest=sha256:6e23cef31d8960072a44554a8a9a537cda91e1fc3d38acf4dbb2fad8a04b7069

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:ff3234f3b4cde2225b75fea657685b9e11ee8d46356045eed6c7e1a54b0640b3

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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no resolver link, observed 2026-08-14T10:15:47.798059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.798059Z digest=sha256:16affacc0e21216f7d44ba78c8ba9b0c7d52b9eeb925966529a407feabf908f3

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:b02b3110cf9a36bc4ab9486e467579b1f26d380d21b62007ebbf5b3f6002c54e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.808979Z digest=sha256:e3de21a5d844ac58bda60aadc486cd182dc81e1a5d61c240eedbd56d6bcbde8d

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=sha256:81eb09f15a47638e096a5c78481f1af030e68608d018c32207a83496c0e5db88

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:edde4d53e2f74d55e8e47d66b0daa4a91a756802f7020dd2139059b70a24984d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.824544Z digest=sha256:197a87184c66d2df5dbc50d8335773bfb8e83f2a66a42e8f6a5052acabc1cfaf

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:ad0609928ada836d69f51ba759b9bcbd7769d037fcc3da527d3b0abee17cda75

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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no resolver link, observed 2026-08-14T10:15:47.835199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.835199Z digest=sha256:c72664edbd2c545e0f0f9392aeb3edb7f01f53667a3ad5ef511ce83153946ab2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.841576Z digest=sha256:bf0a18a885885f13f7a1c8f48b4aa4ac8cdb630a60a1e3c5e869fab3a9561319

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:b04ee2d76cd82ff7f2a5e1269f1751abefa354d82bbbc1058b5b5c25e278822a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.855985Z digest=sha256:1b366c12df080401aaac4f0c213bc8009cdc8268b7cb2fb3210c6b53713f9c43

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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raw_fallback, observed 2026-08-14T10:15:48.900012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.860827Z digest=sha256:c09528c51f06ff7c399682ddfe0c0fb636343c0c3117b6b723b065c0560b3ff7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.865505Z digest=sha256:eeb430980e9811660eab515070b7cda9f472accc059d0743ddb0dcfba7c4e346

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

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

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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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no resolver link, observed 2026-08-14T10:15:47.874572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.874572Z digest=sha256:7aec2f4c3c0b2c18cb77cda92191c4a05ae8b8504dccf79d7ad342196b3712ad

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:f0b3c00f77ba7cf9b3b57eeb70ef9a05e539533ad60165ce6cef5574ba210d01

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=sha256:7df8a61f3803112065df6299ed8ccec23ffa3d3a4f68c821e7302d7b93e747eb

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=sha256:1255e5193ddae39ded40929769a7898652fbabc8c005a83add7e11e830dea30c

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:a39a030943222e230c11e4d3dfbdbcf61f1845bca32238f8dae76d6e6bc1c4c5

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:b9f223794eb391dc9c8c3810f9ac636c347a41cf748e5e8d22031db46c508444

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.904769Z digest=sha256:2543ad6b5092153ed322e53472600190851a99e36f800e42e720e135574a6725

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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no resolver link, observed 2026-08-14T10:15:47.909226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.909226Z digest=sha256:5b2820f25dbc9b4117aaa3f308b6127063916a30ff007dfd8671ac0cb9ff6a3e

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

Resolution
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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=sha256:01e2553228538d5910e98a482eb3b73b43186bdcd314dd7fe03ed614cddfa94a

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:ae16d9b9c79682861c1d35d71b9925e7c3821ef10bd1dbd76afcfda178090751

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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unresolved
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.930727Z digest=sha256:c551fbd07155367839c0467b9af3aeed33c0a3c8dfabd8a6cd005043416576ee

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.935303Z digest=sha256:2c5be0b084d07c23ee591ed8e9dac723b8fb70be6e8ccb4cceaf7ae3390147c9

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=sha256:9f506a999b5abb6289bcba3f884e3cbf173e5bd7fa25da72b77957f36caf78fa

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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unresolved
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=sha256:97ffbb10e924df4b2c6488fa573e1bb2d717118fe1e5f68aaba9521acb2d246a

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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no resolver link, observed 2026-08-14T10:15:47.950903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.950903Z digest=sha256:26fa4160e7cfafb4854c2e9df52437a84a8fd9920ef92b9c1908202d60388ca1

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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no resolver link, observed 2026-08-14T10:15:47.956102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:15:47.961508Z digest=sha256:5245c092911ef3091400302f4e2db4cbc6d8ca9d48e1c1f67096dc926a02ac54

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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unresolved
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:f1c38a7fa205dfa6cf3f09d1d9cf9b4c5b496bc91052e0baac1db9f09fd84f5f

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:f7c0635f3201028309359f3ced74c6812f4fc7838080cae4af0f41c20708c47c

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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unresolved
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 2026-08-16T06:30:59.297886+00:00.

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

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Autoregressive Text Generation Beyond Feedback Loops Unresolved cited work

Reference 39

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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

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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 2026-08-16T06:30:59.297886+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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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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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