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Paper Citation Record · LEDGER

Learning Representations and Agents for Information Retrieval

As of 15 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:1908.06132.

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

pith.paper-citation-record.v1
1908.06132 v1

Coverage vector

measured 100 of 121 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:00:58.554003Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 121 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved75
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bd51078-57ec-4c05-bcc0-89069e636f86 · outbound

This paper cites Bruce Croft, Fernando Diaz, Leah Larkey, Xiaoyan Li, Donald Metzler, Mark D.

Learning Representations and Agents for Information Retrieval Bruce Croft, Fernando Diaz, Leah Larkey, Xiaoyan Li, Donald Metzler, Mark D

Reference 1

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Observation a8e99a67-8147-4404-83d6-4f1576fa8978 · outbound

This paper cites Deepbot: a focused crawler for accessing hidden web content.

Learning Representations and Agents for Information Retrieval Deepbot: a focused crawler for accessing hidden web content

Reference 2

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source=pdf_text observed=2026-08-14T13:00:57.478227Z digest=sha256:0f2a50ef643816050ced8464001f8198265c534884059fc77d6806d68205b80c

Observation 00f6897a-b2ae-4325-b093-c99bc0e223a5 · outbound

This paper cites Large scale distributed neural network training through online distillation.

Learning Representations and Agents for Information Retrieval Large scale distributed neural network training through online distillation

Reference 3

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Observation 30ef35ed-53d3-4286-b7fd-c0d7f01fce86 · outbound

This paper cites Im- provements that don’t add up: ad-hoc retrieval results since 1998.

Learning Representations and Agents for Information Retrieval Im- provements that don’t add up: ad-hoc retrieval results since 1998

Reference 4

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Observation d2d2105d-e05e-4982-8d9e-222d883a4ddb · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

Learning Representations and Agents for Information Retrieval Neural machine translation by jointly learning to align and translate

Reference 5

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source=pdf_text observed=2026-08-14T13:00:57.521967Z digest=sha256:98b0ac6837e8e6f214a25470b458748fd527d0ffb0568fe3b17252335a9248da

Observation 815d1a6a-90d6-44a7-a1b5-88857d800caf · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents.J.

Learning Representations and Agents for Information Retrieval The arcade learning environment: An evaluation platform for general agents.J

Reference 6

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source=pdf_text observed=2026-08-14T13:00:57.530173Z digest=sha256:1bf70c8e2c9c839db98e29a27b712d518c97bf10e42f98a3b7590e3d17bbec6a

Observation 2797d114-e26c-4820-8431-7289470c1ba1 · outbound

This paper cites Information retrieval as statistical translation.

Learning Representations and Agents for Information Retrieval Information retrieval as statistical translation

Reference 7

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source=pdf_text observed=2026-08-14T13:00:57.541128Z digest=sha256:468360168c8509c66729eae4347a59f389e25dc1c4154642505ff9e33ce4a6a7

Observation d6ff143c-b1a7-46c6-96b5-6fa06c2dcb0a · outbound

This paper cites Document expansion versus query expansion for ad-hoc retrieval.

Learning Representations and Agents for Information Retrieval Document expansion versus query expansion for ad-hoc retrieval

Reference 8

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source=pdf_text observed=2026-08-14T13:00:57.559342Z digest=sha256:809d6798357c853e61f1af99269cc2c0594b93081f93236aa80fb336435b62c9

Observation 3a72a7ad-0314-4dde-9a17-9e949e9e0c58 · outbound

This paper cites Bagging predictors.Machine learning, 24(2):123–140, 1996.

Learning Representations and Agents for Information Retrieval Bagging predictors.Machine learning, 24(2):123–140, 1996

Reference 9

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source=pdf_text observed=2026-08-14T13:00:57.577344Z digest=sha256:e89f8a4edfa29948fe8ab2b6d14be4292e764a15257ee8b6c4fc17cad065e9fe

Observation fa26ade2-a449-4287-b221-cd4793122764 · outbound

This paper cites Bias, variance, and arcing classifiers.

Learning Representations and Agents for Information Retrieval Bias, variance, and arcing classifiers

Reference 10

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Observation 3c4acd60-c7ab-46db-a99e-dfa8e4f401d3 · outbound

This paper cites an unresolved cited work.

Learning Representations and Agents for Information Retrieval Unresolved cited work

Reference 11

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Observation f1c9ad70-6413-4dcc-8e98-3eb870423798 · outbound

This paper cites OpenAI Gym.

Learning Representations and Agents for Information Retrieval OpenAI Gym

Reference 12

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source=pdf_text observed=2026-08-14T13:00:57.601373Z digest=sha256:a8e20b6b87c2c814f047c2558498a1f00f0f7b5b3ddc69a9d0151513814c4f6a

Observation 4e69c05a-43e2-450d-a556-f0826a52c215 · outbound

This paper cites Analyzing Language Learned by an Active Question Answering Agent.

Learning Representations and Agents for Information Retrieval Analyzing Language Learned by an Active Question Answering Agent

Reference 13

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Observation c57d85bd-2aab-4ebb-8010-154509406df2 · outbound

This paper cites Ask the right questions: Active question reformulation with reinforcement learning.

Learning Representations and Agents for Information Retrieval Ask the right questions: Active question reformulation with reinforcement learning

Reference 14

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source=pdf_text observed=2026-08-14T13:00:57.613318Z digest=sha256:c52ecec9abe8189112c81d27755c7dbaa13860c55c864eb6165b28d6fa659b97

Observation 237c55e5-d53e-4e00-805d-04e9718bdc0b · outbound

This paper cites Selecting good expansion terms for pseudo-relevance feedback.

Learning Representations and Agents for Information Retrieval Selecting good expansion terms for pseudo-relevance feedback

Reference 15

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Observation ebdf4fcd-ecfb-4d50-a121-c5ed05963d51 · outbound

This paper cites Asurveyofautomaticqueryexpansion in information retrieval.ACM Computing Surveys (CSUR), 44(1):1, 2012.

Learning Representations and Agents for Information Retrieval Asurveyofautomaticqueryexpansion in information retrieval.ACM Computing Surveys (CSUR), 44(1):1, 2012

Reference 16

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source=pdf_text observed=2026-08-14T13:00:57.639692Z digest=sha256:6ccc7688400a24972c6c7de6f17e3ae4d5f36c8c0103a5128f3027ccab2d1267

Observation c7ce021a-de00-4e9a-a179-c7c29dcffee6 · outbound

This paper cites Focused crawling: a new approach to topic-specific web resource discovery.Computer Networks, 31 (11):1623–1640, 1999.

Learning Representations and Agents for Information Retrieval Focused crawling: a new approach to topic-specific web resource discovery.Computer Networks, 31 (11):1623–1640, 1999

Reference 17

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Observation b93e5a47-1e8d-401d-a3a1-f852634ae9c8 · outbound

This paper cites Asystematiccomparisonofsmoothingtechniques for sentence-level bleu.

Learning Representations and Agents for Information Retrieval Asystematiccomparisonofsmoothingtechniques for sentence-level bleu

Reference 18

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Observation f5bca8ff-427e-428a-803c-193c16af3b5b · outbound

This paper cites Reading Wikipedia to Answer Open-Domain Questions.

Learning Representations and Agents for Information Retrieval Reading Wikipedia to Answer Open-Domain Questions

Reference 19

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source=pdf_text observed=2026-08-14T13:00:57.689780Z digest=sha256:a3c89274d6da8a457f521f220354472eafbba52b6ab265b5fa7a412727ebd970

Observation a020a645-b36d-4d08-ba53-c1ff976295dd · outbound

This paper cites Collecting highly parallel data for para- phrase evaluation.

Learning Representations and Agents for Information Retrieval Collecting highly parallel data for para- phrase evaluation

Reference 20

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source=pdf_text observed=2026-08-14T13:00:57.707418Z digest=sha256:93df38393d344fe98a86f9a0493213df30d940768a9e2126fc4b3d88e6fe4378

Observation 9c9caf88-a62a-49e2-9a61-320b4aec84df · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Learning Representations and Agents for Information Retrieval Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 21

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source=pdf_text observed=2026-08-14T13:00:57.724662Z digest=sha256:5b626ab52ed298576fa1bfda1297f44c96e6aa9ad59fc082fff77d914f19a40e

Observation 868fc524-fc6d-4700-a659-508f34355e6b · outbound

This paper cites Simple and Effective Multi-Paragraph Reading Comprehension.

Learning Representations and Agents for Information Retrieval Simple and Effective Multi-Paragraph Reading Comprehension

Reference 22

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source=pdf_text observed=2026-08-14T13:00:57.732751Z digest=sha256:35b34756a4e094b7b7a6cece373a42df9daa10e4e49940054428407c3cc6338f

Observation 605ac114-c863-47d4-97fe-679d0f20bd2e · outbound

This paper cites Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.

Learning Representations and Agents for Information Retrieval Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

Reference 23

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Observation a5499a0a-0d55-43bb-8e98-781bd8682d48 · outbound

This paper cites Convolutional neural networks for soft-matching n-grams in ad-hoc search.

Learning Representations and Agents for Information Retrieval Convolutional neural networks for soft-matching n-grams in ad-hoc search

Reference 24

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source=pdf_text observed=2026-08-14T13:00:57.753197Z digest=sha256:e98b1e1714f499842d44b62553c39153e7caf750e33cade2308d4583f92b7b61

Observation 50c6a000-ee19-4aee-9ce8-bbe0c0901342 · outbound

This paper cites Feudal reinforcement learning.

Learning Representations and Agents for Information Retrieval Feudal reinforcement learning

Reference 25

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source=pdf_text observed=2026-08-14T13:00:57.762333Z digest=sha256:ad947b7818c9dcd27f2b6609fe0d0efc3afe61e669dcaf93f107729ed8c5aeaf

Observation 80833775-27b0-4cd0-ab54-1000a4aaed33 · outbound

This paper cites Dumais, George W.

Learning Representations and Agents for Information Retrieval Dumais, George W

Reference 26

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Observation f41811ca-80d3-4f68-b139-3e88540c4062 · outbound

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

Learning Representations and Agents for Information Retrieval BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 27

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source=pdf_text observed=2026-08-14T13:00:57.781128Z digest=sha256:ce6c382b1380025496646acace3192040d3f40f91d5230f70d66853f6207c4a0

Observation 9d924ba5-755f-46e9-a807-fc7312b04bc6 · outbound

This paper cites Quasar: Datasets for Question Answering by Search and Reading.

Learning Representations and Agents for Information Retrieval Quasar: Datasets for Question Answering by Search and Reading

Reference 28

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source=pdf_text observed=2026-08-14T13:00:57.788423Z digest=sha256:f70d95f1887ddd12c650b78aa41c1d7ddb83e5416035d26d8c2b78437ea24af1

Observation e104d2ae-5f0d-47b8-94c8-bfd37ceb354d · outbound

This paper cites Pseudo-query reformulation.

Learning Representations and Agents for Information Retrieval Pseudo-query reformulation

Reference 29

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source=pdf_text observed=2026-08-14T13:00:57.804465Z digest=sha256:41c5e32a6cc17b6e0a15742416afda089ca900a227f2d46ace9c27703ac677c0

Observation fd73c1b7-60a8-4015-8cb5-8fdc852e8d7b · outbound

This paper cites Improvingtheestimationofrelevancemodels using large external corpora.

Learning Representations and Agents for Information Retrieval Improvingtheestimationofrelevancemodels using large external corpora

Reference 30

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source=pdf_text observed=2026-08-14T13:00:57.810542Z digest=sha256:a11ce8ef9838904f7147c7353dbd6422b64f81423cbba7047972ca9ec2c63041

Observation 59e60e24-d605-4413-a2f4-4f7e6f240988 · outbound

This paper cites Query Expansion with Locally-Trained Word Embeddings.

Learning Representations and Agents for Information Retrieval Query Expansion with Locally-Trained Word Embeddings

Reference 31

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source=pdf_text observed=2026-08-14T13:00:57.817301Z digest=sha256:ae8abfa770d0563e7edfb857bb4a9f518fae566c605f1c2e6113312a72af0d5e

Observation 21362dda-2a9d-4d8c-a9a3-179bdf6d611c · outbound

This paper cites Hierarchical reinforcement learning with the maxq value function decomposition.

Learning Representations and Agents for Information Retrieval Hierarchical reinforcement learning with the maxq value function decomposition

Reference 32

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source=pdf_text observed=2026-08-14T13:00:57.826926Z digest=sha256:839cfc621ef02aee096bdbd9ab03ba3fd8e9529917afd98f8e8408e6b167f55e

Observation edcfc6b2-6891-4be5-b0ca-158515c1d221 · outbound

This paper cites Trec car: A data set for complex answer retrieval.

Learning Representations and Agents for Information Retrieval Trec car: A data set for complex answer retrieval

Reference 33

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source=pdf_text observed=2026-08-14T13:00:57.834393Z digest=sha256:857ed1fd0e5bdd5f7196f3bb5fd3069d5d4558a44a5d7d58b0981971a8874233

Observation 7c7f9e2f-0130-4b7d-b81f-77b6baf6d0f5 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

Learning Representations and Agents for Information Retrieval SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 34

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source=pdf_text observed=2026-08-14T13:00:57.840324Z digest=sha256:483d60e45d26896c8ce9edf96b35e913e5c05844debc2451e9228f46ad26b49b

Observation 4875d727-ac71-469c-9eb9-c170399e73ab · outbound

This paper cites Improving retrieval of short texts through document expansion.

Learning Representations and Agents for Information Retrieval Improving retrieval of short texts through document expansion

Reference 35

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source=pdf_text observed=2026-08-14T13:00:57.846211Z digest=sha256:bf1d3a31514951ba9484e402f72967d10572005eff35b3722138c492caf22147

Observation 1b6524e5-cae3-498b-bf68-a73133167e11 · outbound

This paper cites The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation.

Learning Representations and Agents for Information Retrieval The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation

Reference 36

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source=pdf_text observed=2026-08-14T13:00:57.859125Z digest=sha256:b295ea50acd116d310cb80ced3e0c5bd9eae95d99a66138275c93ab1f9038092

Observation 8d9cd599-7022-4b04-b5ea-4ab12875a4d6 · outbound

This paper cites Hierarchical Neural Story Generation.

Learning Representations and Agents for Information Retrieval Hierarchical Neural Story Generation

Reference 37

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source=pdf_text observed=2026-08-14T13:00:57.864564Z digest=sha256:f175a75d0d7005fae284a8586db7777ddaea3259b09d1f2689c27eaa9d0e44be

Observation 282378a0-91a3-4701-a316-5ae18726f172 · outbound

This paper cites Boosting a weak learning algorithm by majority.Information and computation, 121(2):256–285, 1995.

Learning Representations and Agents for Information Retrieval Boosting a weak learning algorithm by majority.Information and computation, 121(2):256–285, 1995

Reference 38

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source=pdf_text observed=2026-08-14T13:00:57.870031Z digest=sha256:894dc8aacf539472b6f856f4f0841896df37abafac5ff72eaf817b9a684d4b62

Observation 0b342af0-53e9-469e-9531-6976a8a3c882 · outbound

This paper cites A deep relevance matching model for ad-hoc retrieval.

Learning Representations and Agents for Information Retrieval A deep relevance matching model for ad-hoc retrieval

Reference 39

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source=pdf_text observed=2026-08-14T13:00:57.876711Z digest=sha256:ceb20e628d579eb4648c9c9eb4547d8ca4dd765a5ad278330fd040bd700c0619

Observation 8b3992c9-fb22-4594-b660-695cf09a1d92 · outbound

This paper cites An analytical comparison of approaches to personalizing pagerank.

Learning Representations and Agents for Information Retrieval An analytical comparison of approaches to personalizing pagerank

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source=pdf_text observed=2026-08-14T13:00:57.884311Z digest=sha256:7dcf4e96482a9fd0b24d1bdc8037af28fff7edc92c6bda07d83f3034c17b835a

Observation fea4b86a-d877-47cd-baf8-24625dc5508c · outbound

This paper cites Topic-sensitive pagerank.

Learning Representations and Agents for Information Retrieval Topic-sensitive pagerank

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source=pdf_text observed=2026-08-14T13:00:57.895626Z digest=sha256:d2d8b6e9f3fac1218baf2af9463b13ed8839203444690b31666cc4fd6ff68cee

Observation 03023f03-2d99-4b46-a377-826404939eee · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Learning Representations and Agents for Information Retrieval Distilling the Knowledge in a Neural Network

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source=pdf_text observed=2026-08-14T13:00:57.901483Z digest=sha256:946f578beeecace7cdb93191ffcc39d2ad236683d73059086498adee14c427f2

Observation acdc30a0-75ee-41ec-b0be-c806da376b7b · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.

Learning Representations and Agents for Information Retrieval Long short-term memory.Neural computation, 9(8):1735–1780, 1997

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.911272Z digest=sha256:db1859543361ae1a94694778ecbf1c08c5ece9da97bb270f41ab450df6d068fe

Observation c2666188-6239-4252-ba4b-9b58e7abdb0e · outbound

This paper cites Analyzing and evaluating query reformu- lation strategies in web search logs.

Learning Representations and Agents for Information Retrieval Analyzing and evaluating query reformu- lation strategies in web search logs

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no resolver link, observed 2026-08-14T13:00:57.919379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.919379Z digest=sha256:f99b3bafa36e37c95da2e98b1759a01421e4015827f9ca5544bb1e7a3180e79d

Observation d9ed6eb5-63c2-4ca6-bd4f-df657bb9f0c3 · outbound

This paper cites Co-pacrr: A context-aware neural ir model for ad-hoc retrieval.

Learning Representations and Agents for Information Retrieval Co-pacrr: A context-aware neural ir model for ad-hoc retrieval

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no resolver link, observed 2026-08-14T13:00:57.935915Z

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source=pdf_text observed=2026-08-14T13:00:57.935915Z digest=sha256:f71769e4e8958986068beebea53e3a332605727873272f816521787cbb85c4d4

Observation 219d1749-812f-4c51-b6e2-9f5881de6475 · outbound

This paper cites Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991.

Learning Representations and Agents for Information Retrieval Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.945938Z digest=sha256:d28f01dec2b37ba8acfb694cc203b411b27c6b444532f8f55e5b81836732a259

Observation f31348fe-382e-4106-be19-75568131f2d0 · outbound

This paper cites Scaling personalized web search.

Learning Representations and Agents for Information Retrieval Scaling personalized web search

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no resolver link, observed 2026-08-14T13:00:57.957426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.957426Z digest=sha256:1fc237816480146a6921e68319b3a0c9961220d71ddebdd9097e49f22c445b3b

Observation c202274b-0442-468e-9b4a-a5d762b135f7 · outbound

This paper cites Hierarchical mixtures of experts and the em algorithm.Neural computation, 6(2):181–214, 1994.

Learning Representations and Agents for Information Retrieval Hierarchical mixtures of experts and the em algorithm.Neural computation, 6(2):181–214, 1994

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no resolver link, observed 2026-08-14T13:00:57.968342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.968342Z digest=sha256:80a0386a97048d3c1901c3a99abfeae673c76c05299e61f59744d8e9058a1e0a

Observation 8dafc9ab-e0bf-4b99-803c-33a0e4904fb0 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Learning Representations and Agents for Information Retrieval TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

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no resolver link, observed 2026-08-14T13:00:57.975610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.975610Z digest=sha256:d9b6ad26df2ac839c062b12f2bb7828475b6b6233fcf3ef9c49422ee16d88332

Observation 45ffe0ec-f07c-47d7-a13f-c670f4a38737 · outbound

This paper cites Reinforcement learning: A survey.Journal of artificial intelligence research, 4:237–285, 1996.

Learning Representations and Agents for Information Retrieval Reinforcement learning: A survey.Journal of artificial intelligence research, 4:237–285, 1996

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no resolver link, observed 2026-08-14T13:00:57.982301Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.982301Z digest=sha256:63b442b765ba39453696694aaf2c5be84081db8f4650059a5d20bc60a210d82a

Observation b4ca7aba-85da-4997-96f9-bbe5e6de2c73 · outbound

This paper cites Exploiting the block structure of the web for computing pagerank.

Learning Representations and Agents for Information Retrieval Exploiting the block structure of the web for computing pagerank

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no resolver link, observed 2026-08-14T13:00:57.988721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:57.988721Z digest=sha256:67bb95470ec9337d2b4c20b7a2384999a726e897f61a2b80f64d8d550b09965e

Observation c1af3fb6-7f7f-45bc-ab76-4b9badc58be2 · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

Learning Representations and Agents for Information Retrieval Convolutional Neural Networks for Sentence Classification

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no resolver link, observed 2026-08-14T13:00:58.001310Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.001310Z digest=sha256:97bfe7e271c64152fa7edf43ae740ea688b9dc576949bde8378ac5fcec71dd1c

Observation af9fb0c5-2671-479d-9165-2904f29cacd0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Representations and Agents for Information Retrieval Adam: A Method for Stochastic Optimization

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no resolver link, observed 2026-08-14T13:00:58.014092Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.014092Z digest=sha256:51da302df18f68a3cd1c2d77138969296b6b6f28600f93c7043a6464d73c3ddf

Observation 54710267-4137-4f4a-9146-a84aa9a6b0c0 · outbound

This paper cites an unresolved cited work.

Learning Representations and Agents for Information Retrieval Unresolved cited work

Reference 54

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no resolver link, observed 2026-08-14T13:00:58.028106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.028106Z digest=sha256:a574c0997f79a0c100ac5fca20e11fee06e07606860a465cbcff2c483357a7d3

Observation a54689f6-b3c0-4f71-8034-f114d64d4102 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Learning Representations and Agents for Information Retrieval Imagenet classification with deep convolutional neural networks

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no resolver link, observed 2026-08-14T13:00:58.043082Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.043082Z digest=sha256:1adc5637fb019fd971e1f2a2009b80e0677f7b898824b8120dd89a4d32925ab1

Observation 4412f674-6bc8-492c-9e3c-a75e74cdafb0 · outbound

This paper cites Query expansion using word embeddings.

Learning Representations and Agents for Information Retrieval Query expansion using word embeddings

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no resolver link, observed 2026-08-14T13:00:58.058672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.058672Z digest=sha256:973e39d0f59b4b69093cf82c27e7cbbaa28f7d6b876f379a1ce4b4a7b7482f8c

Observation 0ae06e3c-fd02-4495-bd16-ac2ebd0a8f42 · outbound

This paper cites Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Learning Representations and Agents for Information Retrieval Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

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no resolver link, observed 2026-08-14T13:00:58.071861Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.071861Z digest=sha256:c2738a3b620f089749efef07f9c8ce8fcace6f31dc35b3d0e50852682ef31219

Observation 4e13cdc9-2ab8-4442-9d69-6b24b9eb5065 · outbound

This paper cites Introduction to information retrieval.Journal of the American Society for Information Science and Technology, 61(4):852–853, 2010.

Learning Representations and Agents for Information Retrieval Introduction to information retrieval.Journal of the American Society for Information Science and Technology, 61(4):852–853, 2010

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no resolver link, observed 2026-08-14T13:00:58.081423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.081423Z digest=sha256:be937e947c69700c9813d9dc7839a9298a8b1d2ab393e8e811f54d4bede93a12

Observation 38357af1-8a57-4235-9d5f-c26d63d95902 · outbound

This paper cites Relevance based language models.

Learning Representations and Agents for Information Retrieval Relevance based language models

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no resolver link, observed 2026-08-14T13:00:58.090122Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.090122Z digest=sha256:56beffb6fffa786ed37b453e72d93188f9c1185c0e0fb17ae1132c0e1c2cf95d

Observation b8711c68-b4c1-404c-b196-7366bf5b07b8 · outbound

This paper cites The neural hype and comparisons against weak baselines.

Learning Representations and Agents for Information Retrieval The neural hype and comparisons against weak baselines

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:02.211212Z

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=2026-08-14T13:00:58.096861Z digest=sha256:72e7e1165b986a78831498f314ccd6e013e73b25476ae12a9ed832150dc9d6ba

Observation fbc4f0d3-3516-4ad7-b817-a3a85d2b9866 · outbound

This paper cites Reinforcement learning for robots using neural networks.

Learning Representations and Agents for Information Retrieval Reinforcement learning for robots using neural networks

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no resolver link, observed 2026-08-14T13:00:58.101934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.101934Z digest=sha256:497af9f25f459aae6140a9659265de02b9cc5a7f651e71e2042d64fad17e6ca2

Observation 0ce2010a-b42e-48e0-9a47-e44b61839a0a · outbound

This paper cites Contextualized pacrr for complex answer retrieval.

Learning Representations and Agents for Information Retrieval Contextualized pacrr for complex answer retrieval

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:02.143649Z

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=2026-08-14T13:00:58.107488Z digest=sha256:eabf94bdff137e7b530fd567174a9f110331cd2e38c5655e5fb4f8f6690a5a06

Observation d9adb088-3db8-4cbe-8968-a83f0a262e06 · outbound

This paper cites Focused crawling for structured data.

Learning Representations and Agents for Information Retrieval Focused crawling for structured data

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:02.104668Z

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=2026-08-14T13:00:58.114509Z digest=sha256:a6e4331ca0e7d34c3df19929f7d21db179b1139b38eebe19fdcf99ac86939a1e

Observation f0e8bf53-1c0b-4877-bb48-5851210f176e · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Learning Representations and Agents for Information Retrieval Efficient Estimation of Word Representations in Vector Space

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no resolver link, observed 2026-08-14T13:00:58.120473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.120473Z digest=sha256:fcefc0971b365a3be7f88c6641bf2c2d6897753ad0c9b2c3c7ba65a9680d2a60

Observation b4f264d5-afdd-480e-a695-2d5f688e2735 · outbound

This paper cites Wordnet: a lexical database for english.Communications of the ACM, 38(11):39–41, 1995.

Learning Representations and Agents for Information Retrieval Wordnet: a lexical database for english.Communications of the ACM, 38(11):39–41, 1995

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.127636Z digest=sha256:4df96b1bfc9eb190d7e0e84ecf635acdd55c4b365bdd611196661345ef60540f

Observation 0410bd9d-13c6-4638-bb56-a389708ae0c7 · outbound

This paper cites An introduction to neural information retrieval.

Learning Representations and Agents for Information Retrieval An introduction to neural information retrieval

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:02.052420Z

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=2026-08-14T13:00:58.134804Z digest=sha256:1bde474460509f7e0a17bc598d76ed36b83ac41c13f165a9622f2a4334c80f75

Observation afaa1443-88e7-4ca9-83aa-a9aad9ae7db5 · outbound

This paper cites An Updated Duet Model for Passage Re-ranking.

Learning Representations and Agents for Information Retrieval An Updated Duet Model for Passage Re-ranking

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no resolver link, observed 2026-08-14T13:00:58.142609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.142609Z digest=sha256:db6861e19a5a851064e1b3e3e0a8316d64007561814ca03484540dcaea17293a

Observation 81a7b2ba-d12a-4d58-9136-7f62c1a8055c · outbound

This paper cites Learning to match using local and distributed representations of text for web search.

Learning Representations and Agents for Information Retrieval Learning to match using local and distributed representations of text for web search

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:02.018853Z

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=2026-08-14T13:00:58.155177Z digest=sha256:0ad91fb766a390db486d17f49c241eb506849ba27097646a7d5867184738c6b5

Observation 36eaac62-e5ff-4175-a34b-fdb26d7a7237 · outbound

This paper cites Human-level control through deep reinforcement learning.

Learning Representations and Agents for Information Retrieval Human-level control through deep reinforcement learning

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no resolver link, observed 2026-08-14T13:00:58.171171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.171171Z digest=sha256:60e98cb0c9ce6be0df22c9852e028ef64eac2eaeea6a0712e1d73062d4d5859b

Observation 46bcc095-326d-4b12-ba46-bc361d501cf2 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Learning Representations and Agents for Information Retrieval Asynchronous methods for deep reinforcement learning

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.917207Z

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=2026-08-14T13:00:58.194113Z digest=sha256:cdd64806f5cb0d7a08935759552e609931897f0de2d58deb36dd78fd60be93fb

Observation 1cc3a0bc-f440-4545-b14a-92f1f40144d0 · outbound

This paper cites Prioritized sweeping: Reinforce- ment learning with less data and less time.Machine Learning, 13(1):103–130, 1993.

Learning Representations and Agents for Information Retrieval Prioritized sweeping: Reinforce- ment learning with less data and less time.Machine Learning, 13(1):103–130, 1993

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.891083Z

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=2026-08-14T13:00:58.209671Z digest=sha256:9ee7f5a652b97c70ad6e3a96855bdd5989b11a2cc955eabe8de7c8abf16de2c9

Observation 7c9f45c8-9249-4d3e-be47-b444a22e1084 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Learning Representations and Agents for Information Retrieval Rectified linear units improve restricted boltzmann machines

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no resolver link, observed 2026-08-14T13:00:58.220626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.220626Z digest=sha256:fb907e974275906a0d144bad8703d9b1aaeb5de3b4adabc45331630a3c0c7e32

Observation d00a3955-d138-4fe7-8762-268021c700f0 · outbound

This paper cites Language Understanding for Text-based Games Using Deep Reinforcement Learning.

Learning Representations and Agents for Information Retrieval Language Understanding for Text-based Games Using Deep Reinforcement Learning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.245711Z digest=sha256:a23d95cd6300579efe8b7d68d663b5fde3fcda4e9f645d2a8165b0900d218dbc

Observation 5e364e22-3f17-49b5-8275-2d8f995ddd68 · outbound

This paper cites Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.

Learning Representations and Agents for Information Retrieval Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.254138Z digest=sha256:ada699032a9ac5fdf4a2c21ad6035142f698a05ddf35237591dc94ea376cc899

Observation 3dfd8bf9-7a36-4e51-bc57-c54d8a7980ec · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Learning Representations and Agents for Information Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.268535Z digest=sha256:82304eeae1c57605644e421bf5b69a5ba317f9f1cef0ae0e6eeb38ca58edd920

Observation ae006422-6f26-45ed-9c4b-817a8ffcb274 · outbound

This paper cites End-to-end goal-driven web navigation.

Learning Representations and Agents for Information Retrieval End-to-end goal-driven web navigation

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.839529Z

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=2026-08-14T13:00:58.287496Z digest=sha256:a573b0ea8fe9a024128eef1343229715ed66c909f301c392ab5034468d0fe4e4

Observation 1671a151-107b-4eed-9f1a-09c3587c4c7e · outbound

This paper cites Task-Oriented Query Reformulation with Reinforcement Learning.

Learning Representations and Agents for Information Retrieval Task-Oriented Query Reformulation with Reinforcement Learning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.302428Z digest=sha256:f6984ede2e77a3b15722b77c99f173bca4b77870fa8d7aef621b5cf312628c43

Observation a591856b-a6ff-40cc-8228-be0f37798209 · outbound

This paper cites Wallace, Maarten Rijke, and Matthew Lease.

Learning Representations and Agents for Information Retrieval Wallace, Maarten Rijke, and Matthew Lease

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verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.803185Z

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=2026-08-14T13:00:58.309607Z digest=sha256:e60842f4112266053716f962c398d238ef1b0d2cd49997b30f956ba6ad991c10

Observation d3f9b5bf-675d-4922-b230-c295ac0700fb · outbound

This paper cites Deep exploration via bootstrapped dqn.

Learning Representations and Agents for Information Retrieval Deep exploration via bootstrapped dqn

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.772656Z

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=2026-08-14T13:00:58.314624Z digest=sha256:d56f717b65aa6bb7e79d2300b838ced88c252d656fef8202fbb599c9facc1721

Observation b9a5e54c-159b-44fb-9d8f-ea4d4fea4352 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Learning Representations and Agents for Information Retrieval The pagerank citation ranking: Bringing order to the web

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.320595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.320595Z digest=sha256:fd6f9bd93966d5162f02ba859b77c9b8ff8d5ad452223ff726bfe2fb301e8a02

Observation b1149c73-b0f6-4b43-b92d-1bb38f4d7df7 · outbound

This paper cites Reverted indexing for feedback and expansion.

Learning Representations and Agents for Information Retrieval Reverted indexing for feedback and expansion

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.730786Z

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=2026-08-14T13:00:58.329129Z digest=sha256:14cbad0443a1ed4697c93356252a32a400e4067e7f4485a71da229fec08f8350

Observation c2818fce-3d2a-4163-a50f-3bffd199d1eb · outbound

This paper cites Adaptive step-size for policy gradient methods.

Learning Representations and Agents for Information Retrieval Adaptive step-size for policy gradient methods

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.702990Z

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=2026-08-14T13:00:58.341576Z digest=sha256:6da5e4ae509f00482fe018e76ab1d12b8c4096eb11a1c5dbda1f2599ae92f614

Observation c339479c-5d87-4c29-b5f2-9795576dabf5 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Learning Representations and Agents for Information Retrieval SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.348763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.348763Z digest=sha256:242f7c710a86b659f457606291b20166a2471e12dd2e9659d49f5eefabf631b1

Observation ab3b407a-6ee1-4375-9ba2-3e7e1f99877b · outbound

This paper cites Using reinforcement learning to spider the web efficiently.

Learning Representations and Agents for Information Retrieval Using reinforcement learning to spider the web efficiently

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.653834Z

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=2026-08-14T13:00:58.357312Z digest=sha256:e5431513e93896081247cb0e0d82c284f33027d73ce568e0b9790b8151b55c80

Observation d950c8fc-0321-4c21-ab14-1ff84622073e · outbound

This paper cites Okapi at trec-3.Nist Special Publication Sp, 109:109, 1995.

Learning Representations and Agents for Information Retrieval Okapi at trec-3.Nist Special Publication Sp, 109:109, 1995

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.606792Z

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=2026-08-14T13:00:58.364641Z digest=sha256:f24fef5d34b33c0b776a2e90ed58d16e38ac4d410588889911154a16219f3357

Observation 897ccec9-cf52-4ea8-a4cb-77bfe00c14da · outbound

This paper cites Relevance feedback in information retrieval.

Learning Representations and Agents for Information Retrieval Relevance feedback in information retrieval

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.574322Z

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=2026-08-14T13:00:58.375703Z digest=sha256:2e8c027c57d2470466c6a1f2e0a825c0846d94a7d14fa9f357fdf1d3012c7cf2

Observation 2adcfda8-dd31-48e8-9c0d-aafae256791f · outbound

This paper cites Efficient reductions for imitation learning.

Learning Representations and Agents for Information Retrieval Efficient reductions for imitation learning

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.520366Z

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=2026-08-14T13:00:58.387563Z digest=sha256:570e7b321b44bb757eae8d8e6ee5f1ca835619dbf681c27914eaec2b11ec5f3e

Observation 465dc140-124f-440e-b995-1bf688daa884 · outbound

This paper cites Using Word Embeddings for Automatic Query Expansion.

Learning Representations and Agents for Information Retrieval Using Word Embeddings for Automatic Query Expansion

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.399819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.399819Z digest=sha256:619cbd44483586300fd092d458b7112099d39ec16afd82c976973075155455ad

Observation 96614d39-e39d-45cf-bc33-79bd3064f1ec · outbound

This paper cites Learning representa- tions by back-propagating errors.Nature, pages 323–533, 1986.

Learning Representations and Agents for Information Retrieval Learning representa- tions by back-propagating errors.Nature, pages 323–533, 1986

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.472470Z

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=2026-08-14T13:00:58.410746Z digest=sha256:a2b78baf7f8d7af3cc1f3dc30a1058b6e5d761f717a13ee8affbca0f7ea4c7f4

Observation 04e61134-d387-4297-9ee8-4103a87c71d8 · outbound

This paper cites Learning representations by back-propagating errors.Cognitive modeling, 5(3):1, 1988.

Learning Representations and Agents for Information Retrieval Learning representations by back-propagating errors.Cognitive modeling, 5(3):1, 1988

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.440266Z

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=2026-08-14T13:00:58.420685Z digest=sha256:d87aca50ffa1924f42318dea6e631a4e5e799a916720abe828a0fd683e196810

Observation 4c70ebf8-830a-4286-b50c-5c746dd68548 · outbound

This paper cites Policy Distillation.

Learning Representations and Agents for Information Retrieval Policy Distillation

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.432668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.432668Z digest=sha256:179c4af736c958330813f40d6fd14d08bd0250c645f83f8fbb0fe6053f953868

Observation c608b07d-9154-4eda-a587-3f8fd82edfba · outbound

This paper cites Winner’s curse? on pace, progress, and empirical rigor.

Learning Representations and Agents for Information Retrieval Winner’s curse? on pace, progress, and empirical rigor

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.380038Z

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=2026-08-14T13:00:58.444021Z digest=sha256:c18d142c499d9b9a36b2f33f972a88d10d126cbef18576232d6b92dcbb26100b

Observation 4671dd72-c647-4e05-9857-37160ca2ade8 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Learning Representations and Agents for Information Retrieval Neural Machine Translation of Rare Words with Subword Units

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.456700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.456700Z digest=sha256:584a3636497813d7aba5acf4d0e4aef159f5d86eb94df47303a5caa5f07ae3f1

Observation 76a1bed1-8d48-47f0-9d7a-0307d7a74332 · outbound

This paper cites Bidirectional Attention Flow for Machine Comprehension.

Learning Representations and Agents for Information Retrieval Bidirectional Attention Flow for Machine Comprehension

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.468587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.468587Z digest=sha256:ec48a980d841f28008c63acbe25e5da248ab7890d9dfa38c6368fb499d4971d2

Observation e17404fb-003d-4ff7-acc0-cbcc587e2c7c · outbound

This paper cites A Deep Reinforcement Learning Chatbot.

Learning Representations and Agents for Information Retrieval A Deep Reinforcement Learning Chatbot

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.485873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.485873Z digest=sha256:8d11133b97098d0e1f980c50c9261bde92cb613782de58373595c3b682ae052a

Observation 73410e2a-345a-4a44-8813-055c22591abd · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Learning Representations and Agents for Information Retrieval Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.502977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.502977Z digest=sha256:b56fb637aa0f96929c504730bcfff0ef8b5a22e5c789acaf22926903e0b6c33c

Observation b5d3b6af-d3f5-4199-9ae9-5e0e898bde17 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.Nature, 529(7587):484–489, 2016.

Learning Representations and Agents for Information Retrieval Mastering the game of go with deep neural networks and tree search.Nature, 529(7587):484–489, 2016

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.343153Z

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=2026-08-14T13:00:58.509957Z digest=sha256:9a187e2c9bce1df5fde13df91ad3e52e7d48706a96cfa9fb710e00874c556f00

Observation 433e0dae-d360-4923-ad3a-e70ecbe5f764 · outbound

This paper cites Reinforcement learning with a hierarchy of abstract models.

Learning Representations and Agents for Information Retrieval Reinforcement learning with a hierarchy of abstract models

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.301880Z

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=2026-08-14T13:00:58.523561Z digest=sha256:5511e5871a92f11a06c7ca515b8f97ca95600ed6275f2f864fd10d04eea55444

Observation 724c2379-2be7-4857-bb46-a3f6cbcfb5ae · outbound

This paper cites Document expansion for speech retrieval.

Learning Representations and Agents for Information Retrieval Document expansion for speech retrieval

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.271093Z

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=2026-08-14T13:00:58.542369Z digest=sha256:7e5b73608264fdad74cecbe2afc6ae965741f9b8c920519cb9e0081a650979b1

Observation dfae0af2-3a96-4215-b395-d6eb6379867b · outbound

This paper cites Learning concept embeddings for query expansion by quantum entropy minimization.

Learning Representations and Agents for Information Retrieval Learning concept embeddings for query expansion by quantum entropy minimization

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:01.241026Z

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=2026-08-14T13:00:58.554003Z digest=sha256:d72767e9b827e5705020d57e87e8286938417a4e3943a70bd03fd8a3a9aeb6c1

Pith citing papers

No inbound Pith citation observations are available.