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Paper Citation Record · LEDGER

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

As of 22 July 2026, this Paper Citation Record lists 44 of 44 outbound references and 89 inbound Pith citation observations for arXiv:1609.08144.

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

pith.paper-citation-record.v1
1609.08144 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T15:21:28.893842Z

measured 133 of 133 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 89 of 89 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:17:23.141427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:47:34.530919Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact10
  • verified fuzzy32
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd95bf1a-4755-49d2-95b7-60ad7d221b71 · outbound

This paper cites G., Steiner, B., Tucker, P., V asudevan, V., W arden, P., Wicke, M., Yu, Y., and Zheng, X.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation G., Steiner, B., Tucker, P., V asudevan, V., W arden, P., Wicke, M., Yu, Y., and Zheng, X

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.977658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:7064652f08786b329ace58198a415b1f22adf31b0c62496132c45acc1ab9d48f

Observation 01addb36-40ea-4d25-85c1-b20bf5220eb9 · outbound

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

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Neural machine translation by jointly learning to align and translate

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.007858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:4b6f020bbf84c8a372b7af6038e3a44516dd5fdcdd5e67218656dba5cf550871

Observation b92486f0-08db-4684-bdf5-22dfff6edd4d · outbound

This paper cites D., Pietra, V.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation D., Pietra, V

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.009599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:6a412c6134b59989244150e124a32efe4f8a7e3e343c7051fe8aab5c4b596941

Observation daf0d971-741a-4171-95dc-7aaaa4e6c392 · outbound

This paper cites F., Cocke, J., Pietra, S.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation F., Cocke, J., Pietra, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.011691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:15306bc1d54cbe11d8a1d10d3cbbaf601bf9309d28cace0c2c6e1b3d97a833ff

Observation b1d26507-6017-4792-9eeb-9ba7cd357642 · outbound

This paper cites F., Pietra, V.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation F., Pietra, V

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.013612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:2d0a59fbfff6d41257dd0407b6a39c79c63b7d677ece1e68785882e115698f0b

Observation 86a8e0a6-af4b-4321-8b24-076bcbe20d8d · outbound

This paper cites N-gram counts and language models from the common crawl.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation N-gram counts and language models from the common crawl

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.015673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:cdd775088bd6009caec1d0a027d5d18871fb26e72769e2f681e5e5f1d27d8cf8

Observation e81ba754-635f-4bd1-a495-deeb6848559d · outbound

This paper cites Learning phrase representations using RNN encoder-decoder for statistical machine translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Learning phrase representations using RNN encoder-decoder for statistical machine translation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.017469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:f5c16eb77f16dc0f55c630b8dc76c8eb89dec18d840c4fe93b5d69865c34e882

Observation 6bb2e2f9-be26-48ae-9550-b3d4420ace71 · outbound

This paper cites Learning recursive distributed representations for holistic computation.Connection Science 3, 4 (1991), 345–366.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Learning recursive distributed representations for holistic computation.Connection Science 3, 4 (1991), 345–366

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.020481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:d0676e3f1a719b58e4f0c356022cf9cc397df703870808d430954844496e9691

Observation f1ed12fb-8c11-4d6e-9180-cb48a36a8f5f · outbound

This paper cites A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.931254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:95fc37c8bda6b5729bf5d6f817279cb06e2062c8f0832fb79ef0050c62736054

Observation 633fc9c6-a8e1-4e4c-9b38-2de97f15ce3a · outbound

This paper cites Character-based Neural Machine Translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Character-based Neural Machine Translation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:28.934628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:88353e950c232a549e78f979258c9c27f6c8ab52047418365f584b61a8120318

Observation f8f5fb32-2ec8-4358-ba7c-cb984793befa · outbound

This paper cites S., Monga, R., Chen, K., Devin, M., Le, Q.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation S., Monga, R., Chen, K., Devin, M., Le, Q

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.022412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:47ef470738a28b3850a5f8c603474cf8b18f10a1bec0b2b83314c19fcca1db33

Observation fe13b863-abfd-4feb-85b9-2b1619c95f16 · outbound

This paper cites M., and Makhoul, J.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation M., and Makhoul, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.024241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:3ee622bdd3ff2d4500b2858e24619544a16a197076d11185bd41d5ff62cde31d

Observation 66f32643-61a0-4bb1-bcea-9031a79da002 · outbound

This paper cites Multi-task learning for multiple language translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Multi-task learning for multiple language translation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.026280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:1b7a3a0b91ad6a697b45ad5985f6714e80f4058d04e7c8a979d531e56b7f948d

Observation 47992e4d-e70b-4e98-b839-c7c9f5912511 · outbound

This paper cites Edinburgh’s phrase-based machine translation systems for WMT-14.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Edinburgh’s phrase-based machine translation systems for WMT-14

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.028279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:d2d046fba074f6d7dd4d866bedd25163bda81e046bae29e8fc9110e8c68ac894

Observation 09b39990-035c-49a5-9bd1-4cac02aa4e7f · outbound

This paper cites E., and Lebiere, C.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation E., and Lebiere, C

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.962590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:8d9f886bb7d69c413acbd2be6f9f32ccfa82fff3ec9cf61afbd542b51b674eb1

Observation 0b632b51-b13e-43b0-8b03-7ad564e4aed0 · outbound

This paper cites A., Schmidhuber, J., and Cummins, F.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation A., Schmidhuber, J., and Cummins, F

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.964514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:76fdd2c546cced59481e519530cc59f191655be573238cc482464fd64a8287c5

Observation aa6ebc24-8945-40b0-ac7a-32f8f1a60004 · outbound

This paper cites Pointing the Unknown Words.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Pointing the Unknown Words

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.943615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:2849b1498880a2fd54098a8048c717348a38be5a20ee191c3b4fc010159cd61f

Observation 935664ad-a785-4c62-9730-31214aa28a65 · outbound

This paper cites Deep Learning with Limited Numerical Precision.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Deep Learning with Limited Numerical Precision

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.948005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:965862a95094e5f8b3d88ebae2a8e89e86e036122e5ffe9651a2ff90223ec4d7

Observation 606dbd2f-e1ae-4bec-9c42-8834f5bf7547 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:59:28.637418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:dfed8125dd31f4cccc1646749b459212d772406748d8402c66b6d58cd2732d12

Observation ee81562e-8033-460e-bc58-635953c5fbe9 · outbound

This paper cites Deep residual learning for image recognition.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Deep residual learning for image recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.966972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:1f0937c2c6303b786471e4a470cb8fb6c2fa76b3dcc3158564aca76a733ac129

Observation f6198014-0f11-4f13-a78c-abbc74908b14 · outbound

This paper cites Gradient flow in recurrent nets: the difficulty of learning long-term dependencies.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Gradient flow in recurrent nets: the difficulty of learning long-term dependencies

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.969158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:4bb8f1eb79c0e9cfe17d13d047dfa8707e673a76a6fe9ac84eb3719991db6903

Observation 927f3489-b865-4c05-ad02-a2f4e0c1d09f · outbound

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

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Long short-term memory.Neural computation 9, 8 (1997), 1735–1780

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.971251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:eea9a69a5f9de556305222093d6a91cb71269b8430c695be4d6735d22904c938

Observation 80ce03c8-d092-40df-a8cc-325251f0249a · outbound

This paper cites Recurrent continuous translation models.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Recurrent continuous translation models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.973564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:0859cfffe8c77fcc305d5ae20c93db794a337cea67522c535fa0a4bde25a1b12

Observation 192cc048-358e-423d-99aa-3f9f6b0e9f7e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Adam: A Method for Stochastic Optimization

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-12T15:21:28.913043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:7b3a15e90f9d5b6a064ec319786f40781ac6e3623f14a60d47e803d83d5cff17

Observation 8bb30881-a778-4b37-9fe8-ecf2cad17d71 · outbound

This paper cites J., and Marcu, D.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation J., and Marcu, D

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.975785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:5d246766f5efde653b4083a70677d41dfbd12533763972b57b053ac95595b664

Observation e79354ed-e6a9-43f4-9fa3-4a5c2549b874 · outbound

This paper cites Ternary Weight Networks.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Ternary Weight Networks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.922526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:b4d86bf1e18627e45347f70471057ec78f651819eedd5baca6dfe2db1fe68679

Observation 04984d33-80cf-43a3-b9db-e691b1ce656e · outbound

This paper cites Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.926742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:0bd83da96d8b8d3bc2464d012687c2c30616b6bad87116de8227e70b8f690d47

Observation 905f5dfe-5083-45f9-ab3d-91977021c9db · outbound

This paper cites V., Sutskever, I., Vinyals, O., and Kaiser, L.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation V., Sutskever, I., Vinyals, O., and Kaiser, L

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.005641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:c56a9a27646ac2c4175a73ede1b19dbd471a5f952c81e304aab2b6f3f30413f5

Observation 07a43c77-771f-4289-a8fa-45d024a71070 · outbound

This paper cites an unresolved cited work.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Unresolved cited work

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.979822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:c3f96f896d1b6da03ce0c59587346566d82476bbd52c799725b561353e5bbf0f

Observation 9a99e4e4-8c8b-4ba2-bbf5-a42fea6ad54f · outbound

This paper cites V., Vinyals, O., and Zaremba, W.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation V., Vinyals, O., and Zaremba, W

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.981907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:827c113c9d45735e67f2decd432392f645217598133c1343992f2356e2fc5de9

Observation f3586650-7b64-4af6-84fc-95885ce39dbc · outbound

This paper cites Reward augmented maximum likelihood for neural structured prediction.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Reward augmented maximum likelihood for neural structured prediction

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.984058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:f6ac70038d7d4352f221c27f8b875c1effa7b1a5bc3089f743e90c1e90f41ec2

Observation 5dc8611f-092f-455e-8e3e-8915413b243c · outbound

This paper cites On the difficulty of training Recurrent Neural Networks.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation On the difficulty of training Recurrent Neural Networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:28.956096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:d58312e1bfc1f1fa23de8fec486d853de44054f6ecf47f019a24927a412f4865

Observation 9949f596-6cfd-4758-8d23-c2ac1bf5a164 · outbound

This paper cites Sequence level training with recurrent neural networks.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Sequence level training with recurrent neural networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.986424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:345ae4c32681263369eb4678b1654bcda4ae547528d9c8edb11b4c0fb51d33f2

Observation 3db91cf1-75a7-4933-943e-16b13e5adb43 · outbound

This paper cites Japanese and Korean voice search.2012 IEEE International Conference on Acoustics, Speech and Signal Processing(2012).

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Japanese and Korean voice search.2012 IEEE International Conference on Acoustics, Speech and Signal Processing(2012)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.988463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:15c53cf9b91c7e43c12d3ace7f59911aa38b95db5681d07fb060331d7fc17458

Observation 9785509e-5b57-42b5-b337-f209fdf25260 · outbound

This paper cites Bidirectional recurrent neural networks.IEEE Transactions on Signal Processing 45, 11 (Nov.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Bidirectional recurrent neural networks.IEEE Transactions on Signal Processing 45, 11 (Nov

Reference 36

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raw_fallback, observed 2026-05-12T15:21:28.990606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:8fdbd733c072caa7a6e0fb03e7fe4663bf67d67f244500815d982d384763fdc2

Observation fd31a47f-425d-417a-acfc-9c4b388c6f71 · outbound

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

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation On using very large target vocabulary for neural machine translation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.992599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:4077008a68edbd378b75bba53e175aab183581ec7a568ad3ef95b84269f0ad3c

Observation 152a51aa-66e1-4e0f-b503-fb5c84315f0c · outbound

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

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Neural machine translation of rare words with subword units

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.994599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:6ff55aff6465da061e22cab32b356faede938fbc30bb5bddd2c177e718a85a99

Observation b332d35f-4c15-4d70-b26c-1ac873ad37db · outbound

This paper cites Minimum risk training for neural machine translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Minimum risk training for neural machine translation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.997147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:2615a6be3255f6f08939d350ec17cb23865b11fa47b7dcd0cfc11c3642ddf893

Observation f8b4d47c-9204-4e3f-b919-3790be88e425 · outbound

This paper cites Highway Networks.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Highway Networks

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:28.939530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:d169dd3775e6fe1715f67f2155b4c7306a59653b9173435bfc50c6403671f757

Observation e37a879d-8e5b-467f-96cd-e35ab0ca81ec · outbound

This paper cites an unresolved cited work.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Unresolved cited work

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:28.998958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:4772b04eb51c3227a544a8b52b1b9150cd1f4190f8ceb01d091013125c7f5c6d

Observation 7bc2f139-f2c7-4ece-b893-d143260ddee0 · outbound

This paper cites Coverage-based neural machine translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Coverage-based neural machine translation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.001162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:437533e5c14f1d15b94d73ab69ab8037d2c02297aad4e7df2e58ce84f99c4190

Observation d91f9fd2-66dc-4630-a2ca-1a8665499e17 · outbound

This paper cites Quantized Convolutional Neural Networks for Mobile Devices.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Quantized Convolutional Neural Networks for Mobile Devices

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:01:13.534829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:c9d420a2a7a9721885ae0ed9a51e91d685ba6b81f945a67a13f77f88b31fe9a0

Observation 8a96f9af-91c3-4af9-93d1-47e3eb332107 · outbound

This paper cites Recurrent neural network regularization.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Recurrent neural network regularization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:21:29.003327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:092b55a015df5bbc4c725ab33092624de61eed571f78061aadc50a65d6965740

Observation 9573b84e-a957-4cbc-b813-f8cab3c7cceb · outbound

This paper cites Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:08:58.452669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:d3be7f5e8a4273b434a4a7b0b4d29dc570a037af715ee804094f60c0dcaf848e

Pith citing papers

Observation 0f8db7f3-4cce-4c00-b75f-d883e38aafa4 · inbound

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

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-09T03:35:49.048595Z digest=sha256:4ed35b0e13183ed3ba9cd091fcf4f248cd1187e5ef28afe3c51478db0dd89651

Observation f6143a42-b0a4-4f68-aee3-5e636639ebc9 · inbound

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour cites this paper.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T07:20:31.243027Z digest=sha256:4667ad45cd678b3dd43c1b81e96701813368092e25312cbe693eece586f93e18

Observation 8977523d-9528-424a-a697-5c324a79e151 · inbound

Attention Is All You Need cites this paper.

Attention Is All You Need Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-09T03:35:55.867645Z digest=sha256:ecf864b9c13683d789b99e88e37ff1c2adbe96593302a6a32d601e31e267ac0a

Observation 6dc7ff70-de1f-407e-b9fd-64eebf666647 · inbound

Mixed Precision Training cites this paper.

Mixed Precision Training Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:b58b7dbbe7744c4c36cb6f5d8370590fbfddcc470eece5caecec325c98dc8645

Observation 867bcb5e-9bf5-45b7-9f5c-4d041a2da583 · inbound

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing cites this paper.

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-12T20:09:07.569439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-12T20:09:07.513358Z digest=sha256:f84418f82ebd7438240f4879ded5f5c51f9ca194e2e41a09d493334819ff2cee

Observation be0f1ac7-6555-450c-9203-e9c828153fdd · inbound

Incremental Adaptation of NMT for Professional Post-editors: A User Study cites this paper.

Incremental Adaptation of NMT for Professional Post-editors: A User Study Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:16:10.608903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T19:11:57.524479Z digest=sha256:d08d7c0897ec78ab40c9650da9690d5585e99674493a42c93e7bba28f20dc2e0

Observation 7a1a9392-6ed8-4216-bdd6-59e3979abc06 · inbound

Demonstration of a Neural Machine Translation System with Online Learning for Translators cites this paper.

Demonstration of a Neural Machine Translation System with Online Learning for Translators Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:07:06.716340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T19:06:34.194415Z digest=sha256:5a1b959daff29310e8cc61c04e115c05e72347434a43e795001837f85d18297e

Observation e35a3d86-0e87-4947-ac2c-ce0b4bdc333b · inbound

Neural Machine Translating from Natural Language to SPARQL cites this paper.

Neural Machine Translating from Natural Language to SPARQL Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T18:41:08.176627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T18:40:33.139193Z digest=sha256:fee56e702588d7f36e37aa41f841ce380fe3a70961a6de81e9eb70d7221a1f9b

Observation 10a9f473-b30f-41d1-b7fe-7895d4c7d8bd · inbound

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation cites this paper.

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:21:07.053284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T18:18:52.897601Z digest=sha256:98e11209096eba2718ac729961821e7d3e49892c20b6abf3ea5a1c2f5e579645

Observation c87b1cfd-bf41-45e1-809b-b99da8a992d2 · inbound

Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models cites this paper.

Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:06:07.245522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T18:04:12.283986Z digest=sha256:f1ccfbc398f51209cd01459e525e8c021d03fd708d0fbe4000ff227fdc358276

Observation ca200ccc-105f-4321-837e-d331b9a1a03c · inbound

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding cites this paper.

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:47:05.495168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T17:46:04.843187Z digest=sha256:c098986cfaec26b305d275f53af9aed38fe7aa7594ea240ddd5e8a0ccabd0a4b

Observation 0dc1c9e2-4ad6-4e2f-915c-533a7344176e · inbound

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder cites this paper.

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:46:08.797465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T18:43:44.304619Z digest=sha256:c40c353df2f2613fa7e4a5ba2e765554664144ad6096120d68f8cf2f7fc8d7a2

Observation e5414784-9c6c-4fff-af00-8b6bab54dd82 · inbound

Sharing Attention Weights for Fast Transformer cites this paper.

Sharing Attention Weights for Fast Transformer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-25T15:51:00.168690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T15:49:06.606894Z digest=sha256:dc73c18ca7395366e2fe1d9530ad21e0e6a5575886ab15eb973e25afb9563cde

Observation 495119c3-fbb7-4a16-bd2a-fcadd4973f82 · inbound

The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation cites this paper.

The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T14:55:57.271305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T14:53:20.034868Z digest=sha256:25828940e6aae7fb7e18b998620db5451ac10d18845b125903b0bcf3cd8f5081

Observation b7b64e43-ec82-4fea-8746-e356c7aaf3c8 · inbound

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? cites this paper.

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-25T12:20:47.620243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T12:17:22.938922Z digest=sha256:1179932802f10ff40219eb0cc0e232d1e60e212d6f53dce66aa42d5c7a719985

Observation abfb6263-144e-4c00-9c80-1fdd5cce05ed · inbound

System Misuse Detection via Informed Behavior Clustering and Modeling cites this paper.

System Misuse Detection via Informed Behavior Clustering and Modeling Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-25T11:55:45.983511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T11:52:02.292351Z digest=sha256:f71cf599c7f7cf656562d7ebd6ec287971b3d3e75159351e85fa6939c1ff38af

Observation ee6af8c1-ccd7-4ffe-b466-7cbc5616d9db · inbound

Learning to Reformulate the Queries on the WEB cites this paper.

Learning to Reformulate the Queries on the WEB Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-25T11:06:57.238322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T11:05:39.361571Z digest=sha256:29f8fd0df444b0d3ab54698b1a723be695cbda04b646bebcef03fb90b784a5e7

Observation 3451a5c1-f270-43db-bc6e-1b5388e38c4d · inbound

Machine Reading Comprehension: a Literature Review cites this paper.

Machine Reading Comprehension: a Literature Review Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T13:15:51.832340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T13:15:35.060016Z digest=sha256:8b104cd500dab9f1f4e7d36ba902b712ff4d93d69c3a9b1ef8666cf94557835a

Observation 37ab51e5-1a5a-486f-9d09-370b82302343 · inbound

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer cites this paper.

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-25T02:00:12.358255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T01:57:22.964077Z digest=sha256:f5c74af823237578224276f379a3fcb6c4f0f007880d92e20efea0eff99a0ba5

Observation 317c0fa9-c89b-40c8-967b-e47869e0a5ad · inbound

EPNAS: Efficient Progressive Neural Architecture Search cites this paper.

EPNAS: Efficient Progressive Neural Architecture Search Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:16:31.717115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T01:15:41.635247Z digest=sha256:6641e3bd251fcc16f4b27989b42615fca741161e9d33fdb9f26b3115ad6ba74c

Observation a44a968d-0fcc-491f-af8e-2f2681061ef8 · inbound

VisualBERT: A Simple and Performant Baseline for Vision and Language cites this paper.

VisualBERT: A Simple and Performant Baseline for Vision and Language Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 72

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T23:59:37.793345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-15T23:59:37.636404Z digest=sha256:e551649e4022b1602eef764dda3d0471a790c935f4d14933d0b4d74d42262258

Observation 7c4c07a2-3233-436a-bcd1-d6aab5a20928 · inbound

CTRL: A Conditional Transformer Language Model for Controllable Generation cites this paper.

CTRL: A Conditional Transformer Language Model for Controllable Generation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-17T06:14:02.571285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T06:14:02.423030Z digest=sha256:ddfd7d391436283a5a446d2421ad79fa2b75d7dccfe4584b6cc45680187021b3

Observation f8f687b3-c811-412b-98d9-51c90e21ac82 · inbound

Fine-Tuning Language Models from Human Preferences cites this paper.

Fine-Tuning Language Models from Human Preferences Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T20:59:58.294355Z digest=sha256:8f272c0f7ea36b41634fdbcaff492e51f28e53b2d5b33aef3339c58ae28d8597

Observation 4643fbb9-c3d6-4e63-ab4b-497908088070 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T05:37:55.083206Z digest=sha256:ace1dc75bb3d3da32e372b73124ef041d564cd2fdbd82bfbbb3ade57cf7cfcca

Observation c65f45b4-f040-42fe-81a1-d0a2b31cb1d0 · inbound

Compressive Transformers for Long-Range Sequence Modelling cites this paper.

Compressive Transformers for Long-Range Sequence Modelling Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T10:46:16.531810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-18T10:46:16.373197Z digest=sha256:7bf87fbaf93f089d8d1501d7dc5fbf21435430e8619453676de2c0de93e05cd8

Observation 2918a345-e715-4da0-9c48-a7a64ece5da1 · inbound

CodeBERT: A Pre-Trained Model for Programming and Natural Languages cites this paper.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:04:26.276097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-13T21:04:26.198288Z digest=sha256:f602d18a5f48c9ed73c61a07d7c4fa38b472656fc0e23b0cf382f46f786f5eee

Observation e22476b9-dfe2-45b7-9ee9-1fe15203bb02 · inbound

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding cites this paper.

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-11T02:26:44.624137Z digest=sha256:68ba72c088976168a9023ef4a170a90a9c3890a75d4455e6a9103b1b004bee79

Observation 2f607cc7-09d2-49d6-a877-558ce98a7065 · inbound

Learning to summarize from human feedback cites this paper.

Learning to summarize from human feedback Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:46:18.683110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-18T01:46:18.486086Z digest=sha256:be90933da26e352f60d4e77609afbb42323af5615d90a60d019799b01e312fd1

Observation cb2e1fe0-fd12-4f48-bdaf-398e3b52144a · inbound

Generative Language Modeling for Automated Theorem Proving cites this paper.

Generative Language Modeling for Automated Theorem Proving Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-23T05:18:10.677468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-23T05:18:10.620262Z digest=sha256:4b6028c72e2f6dab0e457595d185d45d9aa249529f6a7a3bf71889371fd69432

Observation 7a73754c-f4e8-4ea3-967b-d373968ca1b8 · inbound

Survey on reinforcement learning for language processing cites this paper.

Survey on reinforcement learning for language processing Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 139

Resolution
verified exact
local_arxiv, observed 2026-05-24T12:54:29.774531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-24T12:54:27.155842Z digest=sha256:e64be3ff150113d405d01ea2d02d6f06c1488c44242e2d4f5b941b87974ada8c

Observation ef649c59-60be-46db-b48e-8a18f1721579 · inbound

iBOT: Image BERT Pre-Training with Online Tokenizer cites this paper.

iBOT: Image BERT Pre-Training with Online Tokenizer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-14T02:10:27.618043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-14T02:10:27.569787Z digest=sha256:95eb75492e770b608313f0a29616117afa63777657c65aa65211ed197dbb4bfa

Observation af66c23c-a9af-48db-a409-ce401f4b6120 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-12T13:21:16.921001Z digest=sha256:41e71fb5d91bb4abaaffdf5bd55a425cefdb520cc7e2ba21f66be77d5c73214e

Observation f4fd0c86-8936-4eb5-be35-15cfcde16c47 · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 208

Resolution
verified exact
local_arxiv, observed 2026-05-12T23:14:25.927119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:195b151bba5d0532d77d4654a1e9470d69f8f10f7d89637d4e92c18f49235dcd

Observation 602d13d7-e314-413f-a54f-159907a83a75 · inbound

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation cites this paper.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T04:49:30.873360Z digest=sha256:bace31d152f5144ed55a9a50e4b228a8dde997153ab9cd2ad42b474ec254cd81

Observation abefb48e-fd83-4ec9-9a48-2691e5d577aa · inbound

No Language Left Behind: Scaling Human-Centered Machine Translation cites this paper.

No Language Left Behind: Scaling Human-Centered Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T17:54:14.224195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:fb05d33547de9260fa917bd8e811fe5349811dea687c92991e12d09e87b4eeb8

Observation 5dc8d4e2-916b-4001-ad4e-64d03b54f227 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 124

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T13:48:43.348949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:7a8969618b5c196b38e48169398bc84483679ac768d76c65832f361a6793cf66

Observation 7be94529-fdf2-4218-9071-fe8ee73108ff · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 132

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.868739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9957ba5570f869d7268d21f9d9172dfa24bc1fc82709cb52de61a4df06868891

Observation 4f1d3832-c180-4623-83a4-c76060ebbebc · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 247

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:3a34f933dca392826a584b00b38b97e18155f67f5d081e91d6705e0374262fe7

Observation fa2da4c4-4285-4d3e-bd2a-8454c585f146 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 159

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T06:54:31.443509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:d7c74710e3f4f3eea6ca12336752326e98d5d7d7c9bee924427e45675588e0ab

Observation 07ba1845-967f-49e0-9bc6-791fe690108f · inbound

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T21:32:27.971999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-15T21:32:27.806494Z digest=sha256:1b20c8d85e63f541345353593caf5784a2de2f0d7cfea4ccb788f434c3b7beca

Observation 0bfcdb19-46a3-40da-b3db-a74e46841850 · inbound

Efficient Memory Management for Large Language Model Serving with PagedAttention cites this paper.

Efficient Memory Management for Large Language Model Serving with PagedAttention Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T15:03:07.651839Z digest=sha256:d4faaa404cccdf6655e0cb78995dcc5770092360b48059807008227b01d6023a

Observation 75a4ebaf-e174-4e3b-aa44-a4c190dd6e1c · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 201

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T20:06:44.712398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-13T20:06:44.480769Z digest=sha256:279b6ce45d6485721a259f8a28ef1950eec96779358d49d98e6f4185c690f935

Observation d747ebdf-f1ae-447e-9f40-0d8204c472bf · inbound

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration cites this paper.

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:33:56.725421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-24T05:31:30.519530Z digest=sha256:2ca25160145b1eb65258a26d262eea932a6ba73cb365362cf531d2a6c1b3a648

Observation b6980ac5-1883-46a4-8ea1-631a76675b9c · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 173

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T09:46:10.155512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:9dab8dffafa9cc9841c2909378c6bd26919d2b885d437070856cca5212b909dd

Observation 4cd7e10a-3919-4403-bdf1-9bc8c6bee864 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:02:53.936699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:a4f231a8cdb25a77a181c49dea338a60f6ad2980bf18faa5b1c89a5655c71ebc

Observation 61b73720-64f8-4586-9849-e616c6cf35f9 · inbound

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models cites this paper.

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:58:17.450878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T06:58:17.370396Z digest=sha256:04f8667027ea494b2e9520df8ba0fcc312bd5939e53c751949bd6e4af49b32f3

Observation 4a433d55-46a8-409e-b37c-b60aeddc9fb2 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T12:04:10.563054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:842b52736a634cf0888a3391e31fcc4da468d23174bbb88ddd53bb228c7f3e94

Observation 13e639c5-2189-4fbb-84ec-c6cf937808fa · inbound

Hallucinations are inevitable but can be made statistically negligible cites this paper.

Hallucinations are inevitable but can be made statistically negligible Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:42:25.806632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-23T02:41:59.640979Z digest=sha256:9d9ec10c8c6dc9ce59198fc08b4a8ec384106c347fbef0b837406bbf39f17426

Observation f13deb31-b602-4ff9-99c4-ccefafb76e81 · inbound

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T21:42:11.372296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-22T21:38:29.497183Z digest=sha256:87a2e16b5172ca0954ae718a74f4727a6b24f6715aa1d5dc578ad0d29c865e13

Observation 9066e9cc-b480-41d6-9c88-98dfbc484dbc · inbound

Step-Audio 2 Technical Report cites this paper.

Step-Audio 2 Technical Report Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-05-16T05:59:51.078240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-16T05:59:50.900436Z digest=sha256:60426d52ac8898cb1b2996c71cba889036db9da64dc2403036fbcbb19aa505b3

Observation 8321f745-2e93-434c-b896-dd1de0c7967a · inbound

Non-Intrusive Automatic Speech Recognition Refinement: A Survey cites this paper.

Non-Intrusive Automatic Speech Recognition Refinement: A Survey Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T23:35:45.732601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-21T23:34:52.249143Z digest=sha256:eaa496f8e8cf95b94976f1c1e449a38343e157851be090f0896163e4924bc6a4

Observation 0c39cd8f-49bf-41cf-b718-e535bc5eefd2 · inbound

Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple cites this paper.

Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:37:48.665981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-16T11:37:29.728248Z digest=sha256:e9562b254df472379945ed01a2ea80f492b3d7c8ccc8373bbba8d74f5bc240c8

Observation fea48f3f-a3ed-407d-a776-2f02cabf73b8 · inbound

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data cites this paper.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:16:27.067234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T18:14:17.585458Z digest=sha256:9312e364e1ea6bd384b0fc9bd6f45dc22b434bd828043e294f8fa2e253bed88b

Observation 62d1242f-9fcb-4142-be6f-fc2076c4db4c · inbound

Video-guided Machine Translation with Global Video Context cites this paper.

Video-guided Machine Translation with Global Video Context Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T18:02:31.374359Z digest=sha256:d934d5824edf4834e52df9d51d05237335fe5410fb456db8c637a520c460e317

Observation 1849dca5-38b5-49f7-b100-3c6def4965eb · inbound

A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection cites this paper.

A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T18:08:20.298349Z digest=sha256:8f54500b38f3ad71b7509ae5faddf088aaeb460b9e35cc45c1811c7ea1984f52

Observation ce9d1a39-ed37-4ccf-b3ff-35961d077b04 · inbound

From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution cites this paper.

From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T13:01:53.621276Z digest=sha256:4e32e099f056c1331f34beced4cb5176a1b2b27d146ea5b10590e51cce24de01

Observation aac53cb6-951b-481e-a938-0e8f13264e07 · inbound

Stochasticity in Tokenisation Improves Robustness cites this paper.

Stochasticity in Tokenisation Improves Robustness Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T08:49:55.126650Z digest=sha256:1f4b57d9751d6030c106449cd45ad17a20097311cd5803b498153debe16a5497

Observation d75bc159-ab46-4449-a864-a6978110ad1f · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T05:15:26.015817Z digest=sha256:6a76da65b4f001b03f54e051f5bd30716371daf2c7e0d74c7a6f7b7d75c4e9f1

Observation 738df4d1-1929-4e3f-823a-968730f8d193 · inbound

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-10T02:45:59.473429Z digest=sha256:5a69365cfe41f4b120736e84e575b34a1b9450d6638ac1c81816b03b00eb96fe

Observation b1898768-4182-4798-9d44-90b79946db68 · inbound

Learning to count small and clustered objects with application to bacterial colonies cites this paper.

Learning to count small and clustered objects with application to bacterial colonies Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-10T02:01:47.384228Z digest=sha256:915e950ae92955c86dc985be8b4a93cc251cba78b22702b092739c42b2075b42

Observation 5208bfdc-f261-44c1-acab-3fd8ccc1fcfd · inbound

Neural Grammatical Error Correction for Romanian cites this paper.

Neural Grammatical Error Correction for Romanian Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-08T06:14:02.139880Z digest=sha256:6aef57cef2cfe01ac05d0649a68db171cd92b87ca8e0eb816061e0ecdd0c2040

Observation 1961ab63-dea4-4a69-9742-987aa02db836 · inbound

ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography cites this paper.

ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-07T15:46:45.647099Z digest=sha256:f36ece7568c4bcd60ebf886d47ea0262bd28ff2ace0323296313736e1c8dd41a

Observation fb2c6034-9812-424d-8309-ba2ea5abdb26 · inbound

Context-Aware Wireless Token Communication via Joint Token Masking and Detection cites this paper.

Context-Aware Wireless Token Communication via Joint Token Masking and Detection Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-09T16:53:21.478889Z digest=sha256:6c44efd4c09141c607f74e80a413c7038f75c0b0bd8aefda4ae7887cd30ad4e7

Observation 94ef9ca4-b782-41fa-bb72-8675991c0b8f · inbound

AI and the Research-Education Environment of Physics cites this paper.

AI and the Research-Education Environment of Physics Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-08T01:41:41.052175Z digest=sha256:0fa7b32450f4b5cddbc7c0435de4c1260e5064c6abd0bff769f4f90c8af47661

Observation 9df007b6-c615-4e27-8f2b-cc5c842b8b60 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-11T03:01:13.168529Z digest=sha256:1fdd85a89d470142143092a7dbbd83e723a5bbefbab3b7ac0a537d32c4c3af1d

Observation c9de98d9-5b9b-45c6-ac79-8859f7241f82 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-22T10:31:24.903973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-22T10:30:11.309910Z digest=sha256:461538468ada7e61583066362e04fbdb2ab7efb24eff50c4e8c533ed616a8739

Observation 6c881321-048e-4011-9d33-d52fbfe35ff7 · inbound

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models cites this paper.

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-12T04:05:28.713898Z digest=sha256:19502e14873630173b81a8bb9e24a7e16a6cea9f461b7a67a8ea94bff9e3ac4a

Observation 8090f87c-2465-4af5-b528-f9fa6a857a81 · inbound

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models cites this paper.

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T04:02:57.037939Z digest=sha256:539f121e69ae9e5cfffc49bded3f2062c147ad09417901dee565f560d4c38900

Observation 8f8bc095-607e-465f-b449-d6c800f03aae · inbound

Decaf: Improving Neural Decompilation with Automatic Feedback and Search cites this paper.

Decaf: Improving Neural Decompilation with Automatic Feedback and Search Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-13T02:07:08.040953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-13T02:03:19.836506Z digest=sha256:b355616927f64d8333a52bd794075d0270b129b15580f6b8c9b368521fcb3e68

Observation 70989e19-66cf-4f99-a0cf-48faa8238caf · inbound

Neural Code Translation of Legacy Code: APL to C# cites this paper.

Neural Code Translation of Legacy Code: APL to C# Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T05:29:48.475478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T05:25:16.024670Z digest=sha256:f4147ce8afdfd84d695c4d9e6c75a40f4739e5ca8e3f07d7c9b2cd8fd11c4e84

Observation 61a85970-35c9-4cc5-9389-eb792d59ccef · inbound

Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective cites this paper.

Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T18:03:36.879589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-20T18:00:24.388037Z digest=sha256:722651f340cd2cf2a4a87f80c84bc68a1a6e169e6d0fed77608218b85eebf76b

Observation 78e0d91b-5eab-4cf7-9d4c-d6eb1f581aec · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:38:21.877620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-20T14:33:36.100966Z digest=sha256:cbfd6368bfa0429e7f95d9f3afa698f1925bd04b257718f4705052c97f1b8b49

Observation 9bd006ef-d92f-48cf-add5-c02c755f479a · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 256

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:08:20.958322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-20T14:05:14.737146Z digest=sha256:1e7acfdaefaf8ed5c7a3e1c0a716476fe3a25f1acd76c54c189c62beef043c9c

Observation ed29d92c-ee37-4170-88d3-d902d6bf21d0 · inbound

Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows cites this paper.

Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:39:00.128404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-20T20:38:06.823151Z digest=sha256:03d1df8a4d5087ffc33e11600b8920515ab5e7a663c3cd4577595bfc91ee9568

Observation a682bffc-ad44-4711-b8e7-ec60203c3674 · inbound

Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design cites this paper.

Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T05:58:04.692343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-20T05:56:12.231348Z digest=sha256:8970464a64242607d443e03831b60835472d5cdccfcbad95837cbf9e9dab0ff2

Observation b33ab689-638a-4bf3-b7a0-df3d4619846a · inbound

Metaphors in Literary Post-Editing: Opening Pandora's Box? cites this paper.

Metaphors in Literary Post-Editing: Opening Pandora's Box? Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:43:58.643428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-21T04:41:27.923454Z digest=sha256:50bd45bddbfcd7559895766c087ce8d9bf3565b302f8d775e88e77676521006d

Observation 46925c6a-f9bd-4bfd-9908-d956ce5c830a · inbound

Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild cites this paper.

Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T07:04:41.496480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-22T07:03:00.655352Z digest=sha256:392a227a08831b9b625b31edb8919d99304b33e61d4e645c88e2d71cf2bacafc

Observation e411ca10-0cee-4948-9a08-8b4a3d772eab · inbound

Tokenization with Split Trees cites this paper.

Tokenization with Split Trees Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-22T05:51:08.793177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-22T05:48:29.391178Z digest=sha256:2f52999e63fee88e1d0c66cff021df6a8ea6f00b56acfb89be567b2d3688e1d4

Observation 0282740e-8866-4f1e-a9bb-487f8fe8b8f2 · inbound

Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data cites this paper.

Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T12:44:39.497794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-30T12:34:43.198045Z digest=sha256:12793fd67cbf44ba64e6c7e0e4b0282a186797f3f7d83184222fbedb237715bb

Observation c4f4544d-721e-4583-8292-125f3940567f · inbound

Revisiting Neural Processes via Fourier Transform and Volterra Series cites this paper.

Revisiting Neural Processes via Fourier Transform and Volterra Series Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 114

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T17:12:24.440014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-06-28T17:11:05.372933Z digest=sha256:a910a89ca0ae204e406234c21e56ed6aa9752779d47037fed7a58d287db4a6b7

Observation 5880d7ba-8a79-460b-87aa-1594b0a9ffd4 · inbound

Gryphon: A Unified Architecture for Semantic-ID Generation and Item-Level Scoring in Industrial Recommendations cites this paper.

Gryphon: A Unified Architecture for Semantic-ID Generation and Item-Level Scoring in Industrial Recommendations Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-02T23:47:27.570437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-27T17:56:34.189195Z digest=sha256:cd014f2fc337f9943a3dabf412a1ad85bfb3907189114ed685a0339fde966fe5

Observation 9e95acde-d914-4883-b316-53f4d1985910 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 108

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:47:26.033723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-27T18:39:44.696961Z digest=sha256:3b9bebf517bc0d2bda42cee0bda598cbb007e31f628771bb7b594d50ce0d663d

Observation 40190ebc-7fc0-4ad7-b3e1-cafa900fd23f · inbound

MATLAB-Based Layerwise Self-Adaptive Physics-Informed Neural Network in Applications to Multidimensional Coupled Burgers' Equations with High Reynolds Numbers cites this paper.

MATLAB-Based Layerwise Self-Adaptive Physics-Informed Neural Network in Applications to Multidimensional Coupled Burgers' Equations with High Reynolds Numbers Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-03T12:38:07.221592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-27T08:56:30.088219Z digest=sha256:16b4da1ad8dbf32b716af640420c9b6ee361592e65de240722fd1336ed5b217e

Observation 06e243e2-c91c-434d-8a46-88a40afad0de · inbound

OTRO: Oblivious Tokenization Path with Square-Root ORAM cites this paper.

OTRO: Oblivious Tokenization Path with Square-Root ORAM Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-03T18:28:49.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-27T02:53:23.964034Z digest=sha256:0d717c9146f41477191b660f4ec5cbe1785ed190791d033e6209732ff8d4b11f

Observation 70e04d24-17fd-4870-9318-3c850395fa70 · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:40:07.161276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-06-25T21:05:36.836361Z digest=sha256:d76fffd3ad409c989a0ef79fa0cdd0560ec042ad692470275f3496e2b7471b20

Observation 58ec09ff-cdea-4a95-817e-7a20f5443cef · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-01T09:35:39.565087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-07-01T06:30:27.178950Z digest=sha256:e44ed9ba2ed874fcb09863054e152ec6b48c5d6c5ec042ec4588a684f04b855c

Observation 13c9267d-993f-480f-9665-21455420f65f · inbound

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI cites this paper.

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T23:17:23.141427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:17:23.141427Z digest=sha256:35dd8f0fbbfd84af72d4283073a1db1fe86025c76c08ab547512db396842fb91

Observation 7ae70f9a-1f69-4efd-a219-8ce501909513 · inbound

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-11T20:29:43.700229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:29:43.700229Z digest=sha256:86cdd4a8a305efd47d7002f4115e89098ae584c43a39fa11830918b6c3519bb7

Observation 34711ec0-33b6-4550-983c-913f911082bd · inbound

Ad Headline Generation using Self-Critical Masked Language Model cites this paper.

Ad Headline Generation using Self-Critical Masked Language Model Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:47:34.532254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-07-10T20:42:55.255412Z digest=sha256:ab49931d86345e7a28a89a33a04fbf2e0cb9bcd890fefd1f6e62fa4b59f5ebcf