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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.784851Z digest=sha256:3480c9e146fad6b2e1cf2b8cfbbbe62569c62e684e0d660276981ff9079113c7

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=arxiv_source observed=2026-08-14T10:15:47.790687Z digest=sha256:7bc054d63ff85b724497bfceb58293bc5fbd940c57c05576e08d43b02e9b85c6

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=sha256:5c21bd1765d36ec72b0b94310b3bf38c8436532d9a078eee53c382ca4394a461

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:be4a758fb3ac8809d8fca75251b6cc259ff08fbe44886de3f043dbe65391695e

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=sha256:1c7eb2cac022f7e8f018402ff9bc4c663887461ce1d4924066d102f7e7608257

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:abd4fdc3ef1abbf732c21c6f59eb3f07fe0995130d885aaded331e6b9901cdec

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=sha256:487a9f7884f461c8aeb6f90fd2649e9cab0ae422c45a698b2902734b959966ed

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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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=sha256:0488864641f40453fa4e42a30f4d31d8cf90ff105c4ea38f7ae8fbea2d0cb6c6

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

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source=arxiv_source observed=2026-08-14T10:15:47.830421Z digest=sha256:612ee396b9a3fdfd870e8c51313f29ba83844796763e78d0c19d643c5c207a81

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:b77fb547c5e42ed1720088305248bce9715b677b19508acd5b0a5652b7325856

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.

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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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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=sha256:234408beac4384c281f616a0b3d93c8b8e20889fe6c0fc7f8ab0db128479e1fe

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.

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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=sha256:9966c94695d17d6412923defa47ab04449246def9b4272e80ae582c1ec270111

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=sha256:36a9775c6cdd5d34a52a725ec3fa0daa450fcae6267f76e899c470e94b6c86b9

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=sha256:2b5fd374d271d00036835d0699e77950ed922e89dcee2f437e9cd5cb38e8572d

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.

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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:b2e7ebd7c473f4616f23e75d6f21278d0794a5b63afd92f96d5fed252f66ed8d

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:b9d8810ce36888e2dd7a84ba9ac7df1ee1d118ec1efc86cb724a2031aeb2d046

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.

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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.

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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=sha256:087fde37b9fe1794cac10d02044d30d3d48bf98970d452d0f4cfc1ba81e6b132

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:b8e991bd1550b40330475512dc81bdcc5a592a20857ccf5598657cccff2de80f

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:a8b7cf2deda103f008f39be4ad001475c9619a2ec3d453d004eb6403156f899f

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:c2f41dd2e1b4826f371f18a16be794eae2c5d9197c81ca53a5fec82e6497eec4

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:b88163470f213276268155dd3e3940829bc1d1e155ac0635e707d9a551f40e3f

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

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.

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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.

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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:e92589c8a755b97acf82072324b0e37fd989757e46741d1b47f981f3ae48c43f

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=sha256:381559f15068625b47e024c2dc96a026b3463d4a628fdf82cf938093315cea30

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.

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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.

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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:c13423255a53aefb733b0e9493ccf6f16ba3c841ff38f11e12adbe7b56ca06c8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:15:47.971174Z digest=sha256:26c3c47af7f9d009e01658ac1d1102ff9889c46c2be7d89fda6fbd52681c1f7b

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=sha256:8324726f33f3b36d5990669552b578f6ee1bad4a1bf638402603cef8c72adc83

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:da65de5344cb5550d7c4f821af7e5a2edbd3d5b6bdec3d16c27059fb518e2004

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:ad5ecb74bc143c22590e8f7e28b4e3d439b3983f323bddd54ed1ff702a30c9e4

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:a80d83c6ccb98a2153bbef90cae3b4f49b3c9d0069f436548fc3a61d9fb5c459

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=sha256:674eca23c7320be4befe6e6ba7958c965886ad689502dbeedbd41cfab83feeef

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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