Paper Citation Record · LEDGER

Controllable Dual Skew Divergence Loss for Neural Machine Translation

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.08399.

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

pith.paper-citation-record.v1
1908.08399 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:46:42.007981Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 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

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1de49248-5ad0-4231-b77b-8fb48227a90b · outbound

This paper cites Recurrent continuous translation models,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Recurrent continuous translation models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.689360Z

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Observation fb830855-2519-4d5a-a0d7-a2ac175e4770 · outbound

This paper cites Sequence to sequence learning with neural networks,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Sequence to sequence learning with neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.673262Z

Source-reported events for the cited work

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Observation 7f3e4c6a-0f2c-455e-9634-520514d13075 · outbound

This paper cites Attention is all you need,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Attention is all you need,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.653913Z

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Observation feb0c86d-f03c-4750-bc94-db560ec82f54 · outbound

This paper cites Statistical phrase-based translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Statistical phrase-based translation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.637339Z

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Observation a0ff1293-8524-49cd-be6b-85ec38d0a15f · outbound

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

Controllable Dual Skew Divergence Loss for Neural Machine Translation Neural machine translation by jointly learning to align and translate,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.621561Z

Source-reported events for the cited work

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Observation b3456be3-4f30-4395-b7bb-de68efbfcca6 · outbound

This paper cites Effective approaches to attention-based neural machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Effective approaches to attention-based neural machine translation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.605272Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b1d764e-18ea-4544-af1b-8935da7bfbf1 · outbound

This paper cites Sequence level training with recurrent neural networks,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Sequence level training with recurrent neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.589080Z

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Observation 9352bb8a-f06b-452b-adf0-ff97c11a9606 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Bleu: a method for automatic evaluation of machine translation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.572478Z

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Observation c0711cde-783a-4a77-9f42-9b60f1e7820f · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Scheduled sampling for sequence prediction with recurrent neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.555650Z

Source-reported events for the cited work

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Observation aba1e022-9cbc-44a0-9d47-06003bb1a17c · outbound

This paper cites Sequence-to-sequence learning as beam-search optimization,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Sequence-to-sequence learning as beam-search optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.537993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85004e52-9475-44c3-b7f4-e8431f821f33 · outbound

This paper cites Minimum risk training for neural machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Minimum risk training for neural machine translation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.521231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 584c7b26-4d47-4275-9e0d-9452e195736f · outbound

This paper cites An actor-critic algorithm for sequence prediction,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation An actor-critic algorithm for sequence prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.503514Z

Source-reported events for the cited work

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Observation 335227eb-f3a3-489f-a0c5-d9a5b208337d · outbound

This paper cites On information and sufﬁciency,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation On information and sufﬁciency,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.484284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d40a1ae4-1810-409e-a7b5-f219340ba5ca · outbound

This paper cites How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?.

Controllable Dual Skew Divergence Loss for Neural Machine Translation How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

Reference 14

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Source-reported events for the cited work

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Observation 9bfa7ed6-ea05-47f9-8597-e683760790a1 · outbound

This paper cites Convolutional Sequence to Sequence Learning.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Convolutional Sequence to Sequence Learning

Reference 15

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Source-reported events for the cited work

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Observation be341df2-0020-4650-ba0e-12025336d7cc · outbound

This paper cites Learning phrase representations using rnn encoder–decoder for statistical machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Learning phrase representations using rnn encoder–decoder for statistical machine translation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.465888Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37cb3372-fb09-463a-ad5a-9024b2655608 · outbound

This paper cites Long short-term memory,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Long short-term memory,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.447328Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26b2db81-4e68-4478-b534-9ee438af037e · outbound

This paper cites Measures of distributional similarity,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Measures of distributional similarity,

Reference 18

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Source-reported events for the cited work

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Observation 71fa2a58-e427-4766-9148-a3abaab3a18d · outbound

This paper cites An empirical study of smoothing techniques for language modeling,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation An empirical study of smoothing techniques for language modeling,

Reference 19

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2c2cf49-176e-4b6f-9384-db67bc4a78e0 · outbound

This paper cites Data-dependent gaussian prior objective for language generation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Data-dependent gaussian prior objective for language generation,

Reference 20

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Observation bf620d05-eb5c-46a9-bc56-c198d46aa7fd · outbound

This paper cites Controlvae: Controllable variational autoencoder,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Controlvae: Controllable variational autoencoder,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.375684Z

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Observation 6293d0ae-6f01-4b5a-958c-6f416260c349 · outbound

This paper cites an unresolved cited work.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Unresolved cited work

Reference 22

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Observation d082f8a3-55aa-4316-9b46-f2cdb2c67e0e · outbound

This paper cites Generative adversarial nets,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Generative adversarial nets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.337936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c4bae45-c8de-4e18-987c-34d60b6ab684 · outbound

This paper cites Clause restructuring for statistical machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Clause restructuring for statistical machine translation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.319629Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efa9a791-745c-44cb-8300-2033ea05a36a · outbound

This paper cites Neural machine translation of rare words with subword units,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Neural machine translation of rare words with subword units,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.302801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 342ab8ed-e9a4-44f6-bd5d-d618a1928ef9 · outbound

This paper cites Moses: open source toolkit for statistical machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Moses: open source toolkit for statistical machine translation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.286045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e13d20b-217d-4a08-ac26-cbb02c9597f4 · outbound

This paper cites Minimum error rate training in statistical machine trans- lation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Minimum error rate training in statistical machine trans- lation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.269781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b7d62229-7cdc-464d-a0e3-191408cb3230 · outbound

This paper cites Srilm — an extensible language modeling toolkit,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Srilm — an extensible language modeling toolkit,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 205f0740-b08d-4239-a792-fb041058047a · outbound

This paper cites On using very large target vocabulary for neural machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation On using very large target vocabulary for neural machine translation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.230953Z

Source-reported events for the cited work

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Observation b179dd9e-ba19-45cc-a0a5-2fa7ac7f82d3 · outbound

This paper cites Six challenges for neural machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Six challenges for neural machine translation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.208595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ce4fb83-65ad-4e39-872c-5a5f620488f6 · outbound

This paper cites Analyzing uncer- tainty in neural machine translation,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Analyzing uncer- tainty in neural machine translation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.188557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 611082d5-462c-4012-9066-56c5ef5d6b92 · outbound

This paper cites Empirical analysis of beam search perfor- mance degradation in neural sequence models,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Empirical analysis of beam search perfor- mance degradation in neural sequence models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.170313Z

Source-reported events for the cited work

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Observation 1b04eb92-d488-4267-83d7-7a50b07ccefb · outbound

This paper cites Classical structured prediction losses for sequence to sequence learning,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Classical structured prediction losses for sequence to sequence learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.150524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0cc15aca-1076-480a-ab21-46e01604a991 · outbound

This paper cites SMART: Robust and efﬁcient ﬁne-tuning for pre-trained natural language models through principled regularized optimization,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation SMART: Robust and efﬁcient ﬁne-tuning for pre-trained natural language models through principled regularized optimization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.134254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 529e47e1-f053-46cc-bb56-1108ad271807 · outbound

This paper cites Better ﬁne-tuning by reducing representational collapse,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Better ﬁne-tuning by reducing representational collapse,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.117835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28d92acd-dee1-4a85-aef0-273e82e0174e · outbound

This paper cites Regularizing neural machine translation by target-bidirectional agreement,.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Regularizing neural machine translation by target-bidirectional agreement,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.082855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65a8e5b4-fec2-4ba3-aae0-173e830788d8 · outbound

This paper cites Available: https://openreview.net/forum?id= OQ08SN70M1V.

Controllable Dual Skew Divergence Loss for Neural Machine Translation Available: https://openreview.net/forum?id= OQ08SN70M1V

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:46:42.101596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.