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Paper Citation Record · LEDGER

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.05604.

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

pith.paper-citation-record.v1
1908.05604 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:42.312130Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • verified fuzzy2
  • unresolved40
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 4f4f79d6-ae97-49f1-b0f1-5dfdc001c722 · outbound

This paper cites An Actor-Critic Algorithm for Sequence Prediction.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System An Actor-Critic Algorithm for Sequence Prediction

Reference 1

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Observation a42ed887-ae9a-4e70-9bd3-ee2893170cf5 · outbound

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

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2

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Observation 1accb8e9-f217-4e47-9fd6-4df7d7057edf · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 3

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Observation 0a630d37-2111-4043-b8f4-fcbe1ca8d8fd · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 4

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Observation 7a323e3f-51b0-4873-80f6-eed3a58065df · outbound

This paper cites Massive Exploration of Neural Machine Translation Architectures.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Massive Exploration of Neural Machine Translation Architectures

Reference 5

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Observation 1f34f079-684c-4e95-9d07-846244cdcdf4 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 6

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Observation 50c871a3-6cdd-44ce-bd4e-4e70b6fca274 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Observation 6fc8099e-1459-4c78-9767-44a53f432d8d · outbound

This paper cites Learning to Paraphrase for Question Answering.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Learning to Paraphrase for Question Answering

Reference 8

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Observation 9579f8e8-d06c-4278-ab52-e33f84c4d1cc · outbound

This paper cites Identifying Well-formed Natural Language Questions.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Identifying Well-formed Natural Language Questions

Reference 9

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Observation f9d774f0-e259-414b-bd18-c32cdc5a6ba4 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 10

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Observation 70b1ff2e-25d2-4138-b8f8-a52c5a6d8c29 · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Generating Sequences With Recurrent Neural Networks

Reference 11

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Observation 63b4591a-01eb-4e79-8fc1-c9655d0060b5 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 12

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Observation 557eba82-a7df-4a90-87ad-e2d071657299 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 13

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Observation 80500c5c-b015-41d7-8c84-6515ceea644b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Adam: A Method for Stochastic Optimization

Reference 14

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Observation 461c7a26-0934-4eb6-8097-e472fb757cf9 · outbound

This paper cites Paraphrase Generation with Deep Reinforcement Learning.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Paraphrase Generation with Deep Reinforcement Learning

Reference 15

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Observation 55f89e3d-5ef9-4924-89fe-d01ae3c86cff · outbound

This paper cites Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Reference 16

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Observation ff4f5fe4-a438-4e58-9f60-dd27912cd9ab · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 17

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Observation 153c7b49-f3fe-4ad6-93fe-8b8835ddd273 · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Effective Approaches to Attention-based Neural Machine Translation

Reference 18

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Observation c85d596a-e70a-41ae-a578-f5e83934b8ff · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 19

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Observation f9403ece-7dd6-46f5-9fb0-6b3e8d6abefa · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Playing Atari with Deep Reinforcement Learning

Reference 20

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Observation 10f9ce47-5a7a-45a9-beba-e03d059addfe · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 21

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Observation 9291505e-7564-4642-b4e7-ca12ac1c89ee · outbound

This paper cites Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation

Reference 22

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Observation 42d3db53-e6f1-431d-a875-a0d999c554ed · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 23

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Observation e73e6fd1-ed0f-4549-b5fc-57a17760c1b8 · outbound

This paper cites MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

Reference 24

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Observation 217b05e0-89dc-4ce1-b92c-f353030f72f2 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

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Observation e1de8921-1413-45d5-9645-0d754c203886 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

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Observation 70cfb23d-6a15-41e5-b872-f388b89b5700 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 27

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Observation 640212ea-be4f-441d-81c0-1660b776c839 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

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Observation 990542f8-9617-49f2-acdf-da7095e51a52 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

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Observation c1e9d986-d3c8-4b81-9bbe-0cc0a9ac1b72 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System In International Conference on Machine Learning

Reference 30

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Observation 85c42681-b783-4bf7-a1d0-3f46f25c031a · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 31

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Observation 4d49c5e0-3b36-4b97-aac0-349734d94af3 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 32

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Observation d510ebd4-2646-4c0d-9561-b1737d563c06 · outbound

This paper cites Query-Reduction Networks for Question Answering.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Query-Reduction Networks for Question Answering

Reference 33

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Observation 1a839f83-4908-47b5-a330-353608148486 · outbound

This paper cites Proximal Policy Optimization and its Dynamic Version for Sequence Generation.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Proximal Policy Optimization and its Dynamic Version for Sequence Generation

Reference 34

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Observation 022e1eb5-b41a-4b2d-b31b-45f05b1f2a12 · outbound

This paper cites No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

Reference 35

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Observation 37ee7258-46a2-4abd-ae04-c9815e669691 · outbound

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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System LSTM-based Deep Learning Models for Non-factoid Answer Selection

Reference 36

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Observation cf6983b6-1587-4657-82b1-f33310210146 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 37

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Observation 0717767b-5b85-4107-a4fe-8c3b2ed7714f · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-14T13:46:42.505935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:46:42.308662Z digest=sha256:466db1dc5c565c1b10d7f194cc63db465dc937a825bf97c77028217821231306

Observation 367a789a-60d2-4041-8aad-133660d7df0b · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:46:42.523380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:46:42.298725Z digest=sha256:d7f5980819dae85cf75b436355629e6faa0cccc221c5dcef23f7b6de3426d49a

Observation e5277cdd-a8b3-4c0e-92de-93547fa4c4c0 · outbound

This paper cites an unresolved cited work.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:46:42.498117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:46:42.312130Z digest=sha256:2705fc3f7a5163fe3ea7813077e5c755cc19482ece91689441d871e7ffc66848

Observation ab6b3c08-d8a0-42dc-9823-e00400ea02c7 · outbound

This paper cites In Automatic Speech Recognition and Understanding (ASRU), 2015 IEEE Workshop on.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System In Automatic Speech Recognition and Understanding (ASRU), 2015 IEEE Workshop on

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:46:42.622128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:46:42.209934Z digest=sha256:3ad37c98b90d4ef87c278eb218c9183ddfee226d7d9aeecda6c300665f63a45a

Observation 3a6e4fbd-f822-4dbd-a08e-7c09bba45a28 · outbound

This paper cites Neural Language Correction with Character-Based Attention.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Neural Language Correction with Character-Based Attention

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T13:46:42.305347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:46:42.305347Z digest=sha256:99ef2a40c3ea4399c5b628d6e71c08bbbe0896c39ed285e022e7bf8875bd29d4

Observation 352aba7e-7672-4d01-80e6-0023b03319f4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T13:46:42.275453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:46:42.275453Z digest=sha256:611955be8412bb9e5211bd40a337af799045fe6ad9678bf40c238d96d603af55

Pith citing papers

No inbound Pith citation observations are available.