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Paper Citation Record · LEDGER

Mogrifier LSTM

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:1909.01792.

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

pith.paper-citation-record.v1
1909.01792 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:12:57.564694Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:11.198439Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T20:23:11.602043Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy20
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56910f27-38ea-4fe1-a4f0-5f7d83b7745d · outbound

This paper cites @esa (Ref.

Mogrifier LSTM @esa (Ref

Reference 1

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unresolved
no resolver link, observed 2026-08-14T05:12:57.332300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.332300Z digest=sha256:7bdda3f37e039aa118a5df0609a12d9569ca34257e25d0526ebfc9eecd03c77d

Observation 479d92af-42d1-4b19-a777-43b4cd240191 · outbound

This paper cites an unresolved cited work.

Mogrifier LSTM Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-14T05:12:57.338086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.338086Z digest=sha256:87a151f9ab4fe9e8bddf21721b6e219aa890886af108b5d5cea6ae40685d6679

Observation 63b21d39-0fc5-4c4c-bf11-65e515959866 · outbound

This paper cites an unresolved cited work.

Mogrifier LSTM Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:12:58.308453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.342443Z digest=sha256:2f32aaa1d105028f7dacf7c6d47fe09267497568e38d68e4022cd87f929407a9

Observation 173b16c2-6e86-4dad-9283-23aa39bb849e · outbound

This paper cites Analyzing the Behavior of Visual Question Answering Models.

Mogrifier LSTM Analyzing the Behavior of Visual Question Answering Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.349356Z digest=sha256:0c7d0add00af86830057fdf1c4bf5651a84f86fc41d7a556656716f5a0517e67

Observation 75ea4f69-50ec-432e-bb10-1117dd0ed372 · outbound

This paper cites Unitary evolution recurrent neural networks.

Mogrifier LSTM Unitary evolution recurrent neural networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.294745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.354211Z digest=sha256:90ca0abedbece8c0943cc91c958f351a2e8b5cf77741b231b79e15e649be2257

Observation 810a250e-39e6-4007-bec1-96597c26756b · outbound

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

Mogrifier LSTM Neural Machine Translation by Jointly Learning to Align and Translate

Reference 6

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no resolver link, observed 2026-08-14T05:12:57.358728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.358728Z digest=sha256:c79d3353ebe581d6fd39fe4b92e28029864f88d9ee87bd189be811ad11686bec

Observation fc7f6574-3967-4f3c-8ac6-782292f339eb · outbound

This paper cites Trellis Networks for Sequence Modeling.

Mogrifier LSTM Trellis Networks for Sequence Modeling

Reference 7

Resolution
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no resolver link, observed 2026-08-14T05:12:57.363148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.363148Z digest=sha256:885d46513ebd96093135d2939bfe2bf4853c9b17ab4eb52fa44834d5216b8b96

Observation 87c61238-c7fb-4b6b-851f-b46268e0b64b · outbound

This paper cites Reinforcement learning with long short-term memory.

Mogrifier LSTM Reinforcement learning with long short-term memory

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.277148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.367575Z digest=sha256:921dabb394e81b9ffc0b3b985f91a6ce22cf8d999cf25e2ec6538c7156f0ba34

Observation 4896386a-e21c-40a4-ba2d-a91c3e785ccd · outbound

This paper cites Synthetic and Natural Noise Both Break Neural Machine Translation.

Mogrifier LSTM Synthetic and Natural Noise Both Break Neural Machine Translation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.372041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.372041Z digest=sha256:8f5a79d22ef558c95f3c8b0c8b541b12f825882993268af48e23cca70e617445

Observation 377b512a-a09c-40f5-94f5-c71eabab7015 · outbound

This paper cites Gated feedback recurrent neural networks.

Mogrifier LSTM Gated feedback recurrent neural networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.248443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.377040Z digest=sha256:cea883f80f770adca76ac8a7042d2ed6c54e95d998de8ac9d61bcc6d30e91b01

Observation 8c7f0cd0-8bac-4faa-9293-aee5b48f874a · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Mogrifier LSTM Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 11

Resolution
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no resolver link, observed 2026-08-14T05:12:57.380842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.380842Z digest=sha256:2f9ada047fd65ab15f965e317c3b80ca59a03ae9e3409a25cfdf189eafb00d8f

Observation dabe9dc7-fac3-4303-9747-55c856fb4579 · outbound

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

Mogrifier LSTM BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution
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no resolver link, observed 2026-08-14T05:12:57.385246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.385246Z digest=sha256:d8bd2f2f5e2729ffb3055ca652e5629acee83a3f7d687eb2da9c9ad4199ba1ad

Observation af817135-873a-4633-88ad-bdd23be7eecc · outbound

This paper cites Finding structure in time.

Mogrifier LSTM Finding structure in time

Reference 13

Resolution
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no resolver link, observed 2026-08-14T05:12:57.389261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.389261Z digest=sha256:ba1ad8be6037908ff3f0382cb59006cc5fea36ae1e25c1564a0f3ba42d9e8e09

Observation 00833fd5-cabb-40aa-8855-4769367adbce · outbound

This paper cites Input switched affine networks: An rnn architecture designed for interpretability.

Mogrifier LSTM Input switched affine networks: An rnn architecture designed for interpretability

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.219718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.393596Z digest=sha256:48b23a279d6dfdb093d97c8892d9733d90989d25120511e7adec2f8e209d0278

Observation dc9c1d08-cb2a-4fd1-afec-43b8444c6fce · outbound

This paper cites A theoretically grounded application of dropout in recurrent neural networks.

Mogrifier LSTM A theoretically grounded application of dropout in recurrent neural networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.199294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.398036Z digest=sha256:e12209329bdc807692e4ce5cd53a57150961f4969abc4bd462aaf9df696f83c5

Observation e42a85d8-f81c-4071-a61e-b6015ecef9ab · outbound

This paper cites Google vizier: A service for black-box optimization.

Mogrifier LSTM Google vizier: A service for black-box optimization

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.185308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.401886Z digest=sha256:9adbbc7d15621ce95989ed21f7dc86a4c14e70d99a84fdcad5e1e33ed944d070

Observation 1a891a88-029b-4f07-b940-7247c69649f6 · outbound

This paper cites Frage: frequency-agnostic word representation.

Mogrifier LSTM Frage: frequency-agnostic word representation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.170063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.405739Z digest=sha256:e5228e757566a0416becd3b2e4aeb892d2c0f094d875133e4b72ea432e4ecf99

Observation 6cd858ef-7e1a-406a-b82a-d5ba9c8963f9 · outbound

This paper cites HyperNetworks.

Mogrifier LSTM HyperNetworks

Reference 18

Resolution
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no resolver link, observed 2026-08-14T05:12:57.411023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.411023Z digest=sha256:d1bc026fde33877b0fa58ca7d4f8e04cf2e8036d1c0e23fd6d24197d858a7071

Observation 2fa64fc7-c5fd-4e16-ae7f-f23fa8dad20a · outbound

This paper cites Lstm can solve hard long time lag problems.

Mogrifier LSTM Lstm can solve hard long time lag problems

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.150186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.415006Z digest=sha256:481a863ff1bc7aab7de23d275474541e9d0e410378d91e5840676e7fb1cc3743

Observation 1e4bf159-684a-4dd5-966d-172ba0f837e7 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Mogrifier LSTM Universal Language Model Fine-tuning for Text Classification

Reference 20

Resolution
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no resolver link, observed 2026-08-14T05:12:57.418570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.418570Z digest=sha256:51939a0686eafbe4423de231a5ed37f41cfc07416fb9977c07bae3807c4af2a0

Observation 3b6c4d9c-fc1d-4537-bb2e-bb59d0bc46be · outbound

This paper cites The human knowledge compression contest.

Mogrifier LSTM The human knowledge compression contest

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.132600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.422915Z digest=sha256:f39482d4e6da35420a9d1ef9f68fab390dfb1dbcdc0fbedc2ac000025c3b97e9

Observation fdcc7d51-b0f6-438f-acae-9922767cd081 · outbound

This paper cites Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.

Mogrifier LSTM Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Reference 22

Resolution
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no resolver link, observed 2026-08-14T05:12:57.426673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.426673Z digest=sha256:a5c9eda58cd6523a9494d29783a0126d676253fcc83a3bb32d2126e5b21a9bbd

Observation b9631206-c2ab-49f6-a068-0a83caec1149 · outbound

This paper cites Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

Mogrifier LSTM Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Reference 23

Resolution
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no resolver link, observed 2026-08-14T05:12:57.430517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.430517Z digest=sha256:08ced4bac13b87ed94c926e9ac5f890963d97c24ddf424ae3ea57a253d437831

Observation 312ecaf0-2e3b-4990-8689-9c2bdcf9b417 · outbound

This paper cites Adversarial Examples for Evaluating Reading Comprehension Systems.

Mogrifier LSTM Adversarial Examples for Evaluating Reading Comprehension Systems

Reference 24

Resolution
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no resolver link, observed 2026-08-14T05:12:57.434371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.434371Z digest=sha256:600185c26a8347729429a069d2bb4ec8738c9a0ae5a1219139c805a7075ea89f

Observation 9af3ee94-98dd-4432-936a-6852084de1fa · outbound

This paper cites Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling.

Mogrifier LSTM Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling

Reference 25

Resolution
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no resolver link, observed 2026-08-14T05:12:57.438320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.438320Z digest=sha256:e63b61d3cae23146341b06c971e77217b84d7516baf90c907b7799f07b20c322

Observation fe829cf4-c327-46e9-9b87-e1bf028fb767 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mogrifier LSTM Adam: A Method for Stochastic Optimization

Reference 26

Resolution
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no resolver link, observed 2026-08-14T05:12:57.442589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.442589Z digest=sha256:e0f20e5aa518a2a49119175b3ed79d203f062d029477b5439d1691acbfc46b58

Observation 06c79d8a-dbbf-40e3-94f3-aa18bdf50edc · outbound

This paper cites Multiplicative LSTM for sequence modelling.

Mogrifier LSTM Multiplicative LSTM for sequence modelling

Reference 27

Resolution
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no resolver link, observed 2026-08-14T05:12:57.446357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.446357Z digest=sha256:d20fd0e0b96a891a9deb64c74b796e7599a4566962c232fd391c9d12c40f9e0e

Observation 8cd96dd2-d0dd-4e46-bac7-bd8564301bf4 · outbound

This paper cites Dynamic Evaluation of Neural Sequence Models.

Mogrifier LSTM Dynamic Evaluation of Neural Sequence Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.450132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.450132Z digest=sha256:4611edebe0dc32f91ad00036eb2013c406a85927a94cf4fde75a5bd82a203407

Observation a1ca4529-5d28-457f-8233-4de5b91d76e0 · outbound

This paper cites Dynamic Evaluation of Transformer Language Models.

Mogrifier LSTM Dynamic Evaluation of Transformer Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.454691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.454691Z digest=sha256:d42419d47172ed9d2917e348c7bb998cec4b92a631a777c3c79d193d80221ccf

Observation 025bb797-e7cf-4263-8793-ffddc82a6ab6 · outbound

This paper cites Lstms can learn syntax-sensitive dependencies well, but modeling structure makes them better.

Mogrifier LSTM Lstms can learn syntax-sensitive dependencies well, but modeling structure makes them better

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.112418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.460041Z digest=sha256:43e92d103707298ed3c1799da76e5412ae308c0962ec37cfcca217f144a228b8

Observation 2f3db91c-e376-4959-a5cd-daf6cbaed75b · outbound

This paper cites Assessing the ability of lstms to learn syntax-sensitive dependencies.

Mogrifier LSTM Assessing the ability of lstms to learn syntax-sensitive dependencies

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.464436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.464436Z digest=sha256:51211a4b11fe4c2ce5df1598c7db0cd55b8d2b404d231915fe5299449579647f

Observation 2466d838-c18c-41b1-80b7-c2b16822d683 · outbound

This paper cites Building a large annotated corpus of english: The Penn treebank.

Mogrifier LSTM Building a large annotated corpus of english: The Penn treebank

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.089200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.469264Z digest=sha256:a86a52d0feaa955534dd25a3d931dce9160f43dd1cdb0936bc8f2f1f863b0253

Observation db50dce1-2ed0-41c9-b8e8-ded7694c8018 · outbound

This paper cites A system for robotic heart surgery that learns to tie knots using recurrent neural networks.

Mogrifier LSTM A system for robotic heart surgery that learns to tie knots using recurrent neural networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.074119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.473294Z digest=sha256:ea5cb2102222a88b00c3e2fa6df6a8ea7c4958f1cbf4e021b03b385343a82e4a

Observation b5ee142d-8e87-4d47-a06e-0ba1d4ad0666 · outbound

This paper cites On the State of the Art of Evaluation in Neural Language Models.

Mogrifier LSTM On the State of the Art of Evaluation in Neural Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.478351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.478351Z digest=sha256:f3423f1cda5ef2ce57b3fe8f4513cf621e33a23f5563cf5e71457cf93e8f8217

Observation 1d3bedba-bc37-4e66-9ce3-cc7d86365fa8 · outbound

This paper cites Pushing the bounds of dropout.

Mogrifier LSTM Pushing the bounds of dropout

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:12:57.740514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.483472Z digest=sha256:2a28ad1d54a9a0cba7da99ec6e97c3ecdb61d8f6e4ef5dacc94fb3414ba7e9d8

Observation 45da7501-b9e8-428b-acf7-40bc091a2c26 · outbound

This paper cites Pointer Sentinel Mixture Models.

Mogrifier LSTM Pointer Sentinel Mixture Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.490055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.490055Z digest=sha256:9b9363069dd28c38448d8b4a7bc6a611bbb3aba62d83201ea02fa2650c496cec

Observation dec9b438-3cf2-4b1e-a781-0c293bf14b59 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

Mogrifier LSTM Regularizing and Optimizing LSTM Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.494229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.494229Z digest=sha256:869d0e3dd19ebfc7afc65c1803e395d22c17c216d24f39616434b3d14027c0c7

Observation f23a0039-f384-4a69-a246-480b6c1f65af · outbound

This paper cites An Analysis of Neural Language Modeling at Multiple Scales.

Mogrifier LSTM An Analysis of Neural Language Modeling at Multiple Scales

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.498353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.498353Z digest=sha256:51e1d11e0348177443089aeac9a02d4339ab3e640300ce6b18aaa6a33385c951

Observation 8c11a50c-4355-4d09-8688-8ad9c36c3808 · outbound

This paper cites Recurrent neural network based language model.

Mogrifier LSTM Recurrent neural network based language model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.059577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.502641Z digest=sha256:4f3c60ced13d5abfa28d17a8b23e41e81723eefa1271fc09edcc8bd6f16a2c08

Observation b03a5855-d006-4690-871b-ba4d03cc1a58 · outbound

This paper cites Lexical Features in Coreference Resolution: To be Used With Caution.

Mogrifier LSTM Lexical Features in Coreference Resolution: To be Used With Caution

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c215e6d3-85bd-4454-8f31-247302af109f · outbound

This paper cites On the difficulty of training recurrent neural networks.

Mogrifier LSTM On the difficulty of training recurrent neural networks

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ac63eac-80f5-4e2e-a861-b68bde312d2f · outbound

This paper cites Deep contextualized word representations.

Mogrifier LSTM Deep contextualized word representations

Reference 42

Resolution
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no resolver link, observed 2026-08-14T05:12:57.515997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.515997Z digest=sha256:9456f8e5ddeb2693c506771409eee8a39cdda63eab78ebc31cdec0f0b3571ddf

Observation 91723b19-634f-4a41-8701-3b06253c0583 · outbound

This paper cites Using the Output Embedding to Improve Language Models.

Mogrifier LSTM Using the Output Embedding to Improve Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.520799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.520799Z digest=sha256:c18ab574b157eb69b198128e935ea71750117563d3b43eaf2f4ab8be707ff5f8

Observation df8c45ea-68cd-44be-93d0-93601b0f121b · outbound

This paper cites Learning representations by back-propagating errors.

Mogrifier LSTM Learning representations by back-propagating errors

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.525377Z digest=sha256:bb36b78b765957073e0f7bb551ab05cfc71d146dd9129e0a1dacced3db1af7fb

Observation 6cc8bc61-8988-4a66-8544-02f5381982ef · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Mogrifier LSTM Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.529055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.529055Z digest=sha256:028c5118f2309e85a68867bf35a2a99bdfe9f8fd5cf5b9d617c03b11bb7050a1

Observation fd4d17b1-a287-4c8c-8c3c-e8729a81d150 · outbound

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

Mogrifier LSTM Neural Machine Translation of Rare Words with Subword Units

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.533188Z digest=sha256:02ffeef63534f5f8b73a95904819091512cfb03def508915fa8efc43831f5364

Observation 6cb2a259-a774-4430-b9c7-ddb8e86978e3 · outbound

This paper cites Generating text with recurrent neural networks.

Mogrifier LSTM Generating text with recurrent neural networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:58.015614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.538099Z digest=sha256:422e8a9053bfe7ae41f4ef6bbd830f9304ec842beb6034c2078f0a6ffad724f1

Observation 578d08a2-841e-4763-89c2-f2090eab743c · outbound

This paper cites Sequence to sequence learning with neural networks.

Mogrifier LSTM Sequence to sequence learning with neural networks

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.542250Z digest=sha256:4bffdde2ae2f6b9d7ee94d76752cd2df15f17c33c528ead1753c9b5e466fe0cc

Observation 0c465eeb-6049-41b4-a40f-f45f26669564 · outbound

This paper cites Sequence modeling via segmentations.

Mogrifier LSTM Sequence modeling via segmentations

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:57.989880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.547242Z digest=sha256:47083f685fe93bfaf2b699978ea574a9eb342548fd77d6183fe091d662dd1d66

Observation 0d92f811-154b-4736-99d6-c217e77f1659 · outbound

This paper cites Backpropagation through time: what it does and how to do it.

Mogrifier LSTM Backpropagation through time: what it does and how to do it

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:57.976881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.552053Z digest=sha256:b83f4388ff542f4cbdecb042a305e96c58ecae2e53e711e0ebae782fb8fc93a1

Observation 747ca621-21a9-4922-9b82-9cda157e9566 · outbound

This paper cites On multiplicative integration with recurrent neural networks.

Mogrifier LSTM On multiplicative integration with recurrent neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:12:57.963009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T05:12:57.556477Z digest=sha256:47c3db26c34e3dd5e288d63a505351fe67862f221a02217302dab1b0894905a1

Observation f59c2440-ecb4-4a1a-be01-838305f34a9f · outbound

This paper cites Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.

Mogrifier LSTM Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.560482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.560482Z digest=sha256:c8fc8310d9bfd5cad7ef6c7a4ebb469d4a9c2221ba0242572123aeb0b26b256b

Observation b25490e6-8242-4751-8cab-eddcb3d8219b · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Mogrifier LSTM Neural Architecture Search with Reinforcement Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:57.564694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:12:57.564694Z digest=sha256:4849926ca0ff68b09f9dfc23754df9f4f4f948b7f2326c549b344d89c5495b71

Pith citing papers

Observation 89dddcc9-dd31-459c-94f0-735eab16f8fb · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Mogrifier LSTM

Reference 260

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:23:11.606561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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