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Paper Citation Record · LEDGER

Autoregressive Text Generation Beyond Feedback Loops

As of 16 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=sha256:3fdf00b6ece9b613dd5c6f80120f2e8733c0463906f5e0adcd3161dd4dc5a65c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.790687Z digest=sha256:f977b72c042cb9c818b6abdc71a80ed3131958f58584360123cd95a4620d2f6c

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=sha256:4ee0ae71c483fecf3d581c9d4ca26098e558116f761cfc35a0dc5a23dd65e7e3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.803326Z digest=sha256:5fa591e138d423cd5e8991049a6df49a1376e4b6ee5ed61da4572759ba79a939

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:b17315d2fc2621afbf3ef0b9cba9054d3f8b87ce5541368cc6187f8bd973cc6d

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=sha256:65601ed17c0bc05f299fbfe033b67aa12a6a47bcff9c4ad0da35d6cdf3a8e69e

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:c05f05ca9c3e4ee3ae2adc10f8d823474b377137c04e69d247723ab30c580830

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:e0581c01582e67e6ef924b25684db063213fe9956181fc11f692a658eda0f7a9

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=sha256:739bc22e5014dd3d33a7892e53afb8c8095ef2fbaa24632d19671c0a056aca25

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.835199Z digest=sha256:5f22b0c73f958db7beaefb25905ab5782028f096ea8f4d47ab1cc537227c1370

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=sha256:56f1d9c58023b1ad64dce3b3ad884c27efab2b0298cf703ccf8397fbfe6b2d60

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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no resolver link, observed 2026-08-14T10:15:47.846543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.846543Z digest=sha256:0a275fccead3aea984e4e0bf2002c1a8c74143c0d6eb9f75bbf49668fa5f4001

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 2026-08-16T06:30:59.297886+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:a33faeeacf4634bfa812ea760f2269e8f02cc0289ebdc57d197bd1a843fff417

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

source=arxiv_source observed=2026-08-14T10:15:47.860827Z digest=sha256:618a3837d5b7313b488ad72ed43f58ddd20fd4682176c41ca5698abc09cc62bd

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=sha256:693615ff9763d8e2ded8a226e675a20cc3d1bc0b9337390e7eecfa23d9d2de59

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

source=arxiv_source observed=2026-08-14T10:15:47.870194Z digest=sha256:ff1406101459c09123ca9187e56fef279290dc59215bef26f4463952e7eee3cf

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=sha256:1a5e37c0231df631b43c81a73b4fb230cadc6055e94e5fd5139269ba2b7fa950

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=sha256:6d69989ccd8f5dc2b49c3f5cc64f7907eff88c9b737e1a2bc6152c13b6c05d54

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=sha256:2902987e0cd1c41ef224744d2ae1de01b78c48c9f77ed2f27f1faf9842b69548

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=sha256:88f6b2cd6ad59081a1aa6bb93d32d54326ef1762d39522a59ca2948655d6c3c5

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=sha256:640391a061d99945f68eebadaf52902026b215d6aa52baf8fd2836015fbaf082

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=sha256:78612c9b533645b300f7ee9c454974a8ef98db5582e4eaaefa89333a610582cc

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=sha256:1150ebdab7c2e21be41ac6eed472d91e550b78f611dd7200c94636be67897f92

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=sha256:487dd3c929295127c0176f106f407111ed6ed33fc475df4006973b456116946f

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=sha256:2a46da9bcb3faa98b85c5557b1dd92ee3d2ec8cb483a1eddfa25dc1417474f72

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=sha256:53846a5c6053a9697f3552687362462b07462ebb478bcf275421ac3636fd6eb5

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

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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

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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=sha256:418f27f5c7744ac41b6ad239399ce8115bf54da519c2b56acba85b90255e4287

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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unresolved
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=sha256:5741b16c00c435bbbafb07fdc538ce4d3f7b48473c5564cf5efaf113767e72ee

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=sha256:7adee7fd6d9cb56321ec0d568816f28b097100f08327266f0ac8a756bdf58412

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=sha256:903d3e86b82bfcd725094287f31f04ec141e26a6550956649ab7765a0d424b63

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=sha256:1f645fa97f55b36ddd8640ab8d41db4c520e3ac2b81bb5864361b6a1431046b8

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=sha256:9c92de3938d6d1ad520ea837dea282f04023b64033a0fd8ed7a54ec3d19e4a36

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.966187Z digest=sha256:cc88eb2ac6f7b7e85c71894d07fe69a77959ce1bf1e2ddd67d532acbfe7d141a

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=sha256:571869cc192704eab25dde58d3eda2840bb5c06ae42656711b43349c99884816

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

source=arxiv_source observed=2026-08-14T10:15:47.976205Z digest=sha256:f131f5a6eff866bbbdaf8cf8a6aa09d703c557548bb1da93d8b3696b09a44ec4

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
raw_fallback, observed 2026-08-14T10:15:48.766363Z

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 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
unresolved
no resolver link, observed 2026-08-14T10:15:47.986411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.986411Z digest=sha256:ebe285f2c2bdfb05bf8f1a7ba4c5df872416a7e9ad11685fb0b9ded73e62dda8

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
verified exact
local_arxiv, observed 2026-08-14T10:15:48.160302Z

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.997412Z digest=sha256:65b0c799218159b9e4844628e2b0505ae9e7668cca33fff55f47ec7b15d4932d

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
unresolved
no resolver link, observed 2026-08-14T10:15:48.002967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:48.002967Z digest=sha256:b18cc59c35635c9aba3244940be372e6be677a2d237448b7bc15ca5eee11332a

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
verified exact
local_arxiv, observed 2026-08-14T10:15:48.105219Z

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 722bffcc-4438-4780-9313-9cce31dc999c · outbound

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
unresolved
no resolver link, observed 2026-08-14T10:15:48.012974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:48.012974Z digest=sha256:94f87f7d9e3c5ea83e60be4179c5d82e29b54963bf7b25943914341b2c6c70ae

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
no resolver link, observed 2026-08-14T10:15:48.018070Z

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
verified exact
local_arxiv, observed 2026-08-16T05:55:54.758868Z

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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