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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=sha256:3bd08b0d83aca8d2c5f6e9acbf583256bcf79800cfe87a2de85096f14b297c28

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:a27af9fdddadc4029f1a406fa70a35f3630b13ffb9ccd427eb5831bd3951a2e3

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=sha256:5cfd9541a6d3d3a244bb97241ff8d18db83c07019126dca501aeb2c2cd2ba07d

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:e9f02ddb91eb2d30527b8dc2454f668b800cbd60cb3a283ae97beacd8f55e15d

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.

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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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no resolver link, observed 2026-08-14T10:15:47.813940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.813940Z digest=sha256:8c0cf22f87276006fcd12c68aa8eb22f257cf4b229caa7c6c0b10ad7b007eb49

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:f03c1bc729861b770477cee6008df3f82d7485f3621e3a4e88fc41a7f803e51f

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=sha256:39b9b2471f33c3562eff7e3f4d9dbb4afeb5045cc44723e6ed0d5340543e4629

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=sha256:1200744f0b1acf8498901e88faa2870c300c47da0b197d45903e0fe1b145472d

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:c41743ad1a4a8ed68c75c0cf94bbc5c9892495db779107ce476beacf15ec45fa

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.

source=arxiv_source observed=2026-08-14T10:15:47.841576Z digest=sha256:f16a04ca882dd04055e3f2bac63fede48e1cd42e66576a04bcad367b27a1e53f

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:c0503c9bf432be5835f977497d43a7a75177025e40d69373564847e0b5505076

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=sha256:3b396c882f2a42618de7b0db5bc6e2286d92acfdddee6f478a5dfe55241f985d

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=sha256:763939bc519bea4b79cc0a51f1e9c064eab26d497e98703562cb1122f2f865a6

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:d19e21319f343e02bff47e995bcbd416f600f5400cafd3f19127cf43a24e29b2

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:d76e0cd15c8130d6ef1056406468f69a8c8439b9f568dbdbad2a539638d1fcf6

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:a2bdda26c0dba8b6d54ad852a4ce8f1b9a5afb37bfa7104e6fac8a12fc4026d5

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:e12599767b7cfa24e0faf163e72ca96f5487fe1ef6fc494412f2f48b5ca6c7dd

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:c302fdc17364c99e343cf6ed6a82702cd7d1bef21c04ebc279c58bc38c765b47

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=sha256:2f642a74a120c520b5b79cf76f39730982858df3356de960b82e12dd93cbe981

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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unresolved
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:ec02ce4aec0c9c2c65c809bbd989b8c76bc079c9d380081779a114eb9d7ea1b2

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:efff7ba270bd1112a1d09b626578800cb51af8c395ca40f449de5d098b9679cc

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=sha256:485678efd54831230191c3b7781e211fb86b0421802289af88c56139c0ee1904

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:ca21f380513dce358896f1924509b71d5f5ae088c720a663990376736d503345

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
unresolved
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:f41535dc598fa8e551c8dae9ee0924b3c66a02c68d121447839402bc2de824df

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:d64510ad26121781c1d95fa88dcd684270d7f5d80650fc09881da9fcd23ff7ac

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:d6d1e581e75bc4587622ea3b44172f7714bf4830824c0b783c06e7e08bc7c678

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:a07636d6b085e2688d911a3c63abd8846ec0cf1652fa5daa79ea7ccfb1642c31

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:c2e594c5b5b591180698ed8ed75d76d776ef35f1815206ddc8a32e2dfdffba03

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:be20e07bfa38ecdc0b8d6e1d5ecb8febdfb9846fdcb4edbe7c08a247a2a50bf5

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=sha256:9966d8a1aa6dabb662633b7bd5d3e8470b5d8c1669abde8a8eef4da2fab18cfe

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

source=arxiv_source observed=2026-08-14T10:15:47.961508Z digest=sha256:483b3dd3eb9a694d25049b371b836b2c519704ede9e3efec5502015ea858751d

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=sha256:0912f5b0ed42307dcaee52702952a5a6e813dcbdb926628a6608b4fd233f83c8

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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unresolved
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=sha256:94a8609a0da4d2e840b7b118ec1b4e0cde2ab7412091e62370fe8197dea3d7ca

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

source=arxiv_source observed=2026-08-14T10:15:47.976205Z digest=sha256:d4cf3c8b016bb582cace28b09b726d3cd027e8d27d68a08c8a5db75cad70ff8f

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
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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

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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
unresolved
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
verified exact
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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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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
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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 2026-08-18T06:34:40.430872+00:00.

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