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Paper Citation Record · LEDGER

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment

As of 10 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 1 inbound Pith citation observation for arXiv:2605.13429.

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

pith.paper-citation-record.v1
2605.13429 v1

Coverage vector

measured 100 of 136 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T19:35:10.026293Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T19:48:50.857126Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 136 outbound references displayed

  • verified exact35
  • verified fuzzy50
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdef8330-7ec4-4cdc-ac73-408368562d1b · outbound

This paper cites This is an example of sample bibitem article title , journal =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment This is an example of sample bibitem article title , journal =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.103223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8f0b4add970db7e3311756e54013ed8132a4ffe7f4c851b631a26e71bccf80dc

Observation 325887ee-3dda-44c2-b8d2-d7600f361420 · outbound

This paper cites This is an example of sample bibitem article title , booktitle =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment This is an example of sample bibitem article title , booktitle =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.099761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:c995ceca1c37295443d78dca22f8358d6b65b5a73e759fce2c2053aec31674db

Observation 0d8c23a3-feee-4a6e-a504-4974e4a09927 · outbound

This paper cites Scaling Learning Algorithms Towards.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Scaling Learning Algorithms Towards

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.047767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:aa321371a9e5fa064a260e1e8de6c7a28009c8aa215f1ce351728ca611b02a07

Observation 2f9cf6fe-2297-4955-b8ea-e8d0434f90f3 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment and Osindero, Simon and Teh, Yee Whye , journal =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.043691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:fbbf05f6b83bb77e160e465c83a5c4e995b107f83ee8058a249f7c966d78d6f8

Observation 19906812-14a2-4148-a6e3-d2694a6d37f8 · outbound

This paper cites 2016 , publisher=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2016 , publisher=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.090969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:b018d471d843e29ad291ad5bb5e2ac9b02420dbb586e63a7e0d9bb8f8769bd17

Observation 25b6eaae-3357-4c91-8c20-7506cbcb588e · outbound

This paper cites Non-Adversarial Unsupervised Word Translation.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Non-Adversarial Unsupervised Word Translation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.153408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:1525bb451c7f026ce7cf07af6526d7ec99b39fa2c9b0bfd2fc2fb83de6d3f79e

Observation 59cbb8de-9cbd-4cfa-834d-e067590c6c2f · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding , volume =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment MPNet: Masked and Permuted Pre-training for Language Understanding , volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.083457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8ac1717246444dbbbdb66765a223d1f884aec880543773c189784f0c1cd32aed

Observation 8501e1a2-ff49-42db-af76-18c5f12b6542 · outbound

This paper cites MEDVOC: V ocabulary Adapta- tion for Fine-tuning Pre-trained Language Models on Medical Text Summarization.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment MEDVOC: V ocabulary Adapta- tion for Fine-tuning Pre-trained Language Models on Medical Text Summarization

Reference 8

Resolution
metadata mismatch
doi, observed 2026-05-14T19:37:51.039920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:fbd4c1961f5b11984a17e8f18fb4fbaee07e2dcbbe80934715ef16198821e080

Observation 8793a947-45be-4346-b027-43bccc9ef5f8 · outbound

This paper cites ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) , volume=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.187585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:70f13b974025c7e20d50ad3f0afda229e1bf6db4c23e79b73eed17b9a5ca9227

Observation ada05cdf-3b9b-4b1d-94de-07354136c6d4 · outbound

This paper cites 2024 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2024 , eprint=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.105645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8561842aabcaa8380c97deba3bfc6abaf24d968ec686af80150c4381addfd9b7

Observation 0879e2d2-0872-4c25-8cf7-d56c6781d880 · outbound

This paper cites On the Role of Seed Lexicons in Learning Bilingual Word Embeddings.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

Reference 11

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.211484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:e26bc54acd61454cb2a3e51c2da6d99e1b3f2b68d392d8f114fe236f41acc78c

Observation 83baab93-51ea-4889-bc7d-6b78289ef59f · outbound

This paper cites Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

Reference 12

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.265682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:00de725edfef9485a5a8400ff079acff0a270bb27f4ea47f65c3f181ceebebf4

Observation 418c6078-e0b7-4a6e-ac4e-5d242cb9d432 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.027973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:1cbcb584985647b133150c6058d153556e5826e2de300a6835602c8aaebe07d8

Observation 1345f491-2678-4e83-b6a7-5d169fbd5328 · outbound

This paper cites Mimicking Word Embeddings using Subword RNN s.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Mimicking Word Embeddings using Subword RNN s

Reference 14

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.116728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:dbc065685b9430adbd15c9c12be8bed5412537aa94bc517a92c2d54e890379cf

Observation 350b9aa4-f291-45f7-bef1-b8caabc0ca56 · outbound

This paper cites Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts

Reference 15

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.084335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:35a8cb34952e6106882593f1094007f1592e9ce2c2a881ee844e16c4fc82330c

Observation c3d69af0-bd57-401c-a0b7-a18842604057 · outbound

This paper cites BERTRAM : Improved Word Embeddings Have Big Impact on Contextualized Model Performance.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment BERTRAM : Improved Word Embeddings Have Big Impact on Contextualized Model Performance

Reference 16

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.130300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:c71d43f9ffe257834100dd1ac84b0b486be44813d2f8ffa715fa4771eeb8da5d

Observation 994c2747-a8d2-4615-9f34-451a6e3eb6c2 · outbound

This paper cites Cross-lingual Models of Word Embeddings: An Empirical Comparison.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Cross-lingual Models of Word Embeddings: An Empirical Comparison

Reference 17

Resolution
verified exact
doi, observed 2026-05-14T19:37:50.993490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:78037e61b59ada91c3abe850a4ad194206cbe857d247ab8f8cf59420e90e3487

Observation 91cffad5-8bbc-4422-9a3a-728bfd22bf32 · outbound

This paper cites Proceedings of the Thirty-Second.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the Thirty-Second

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.148747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:13e7cc6b0307cc7b0799c97f2e53ea23d0ffadfe902dd346f1c924b08588497b

Observation 6d6f1f7b-79da-42f7-aa26-d25f948f665e · outbound

This paper cites Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.012195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:a870b750faf0d980d95834db3a58708a0ffd9e2dc55b61e1ff91887499fcaeb6

Observation 2990bcd9-4b2c-428d-8c30-741e73442498 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment The Twelfth International Conference on Learning Representations , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.020287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:4a2d3864eb14946117a533b1f02c4716864d30ea9b0b557c334011bd063bcd97

Observation 6f0150fb-40c1-4dc2-8b2a-53c53e837054 · outbound

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

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 21

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.237150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:75be7b1c87ea757895c907cd368aa97370916024a28c4decd9a4f164052c5385

Observation 4e528bf5-0118-4cfc-b1d6-2482f940980a · outbound

This paper cites The Stack: 3.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment The Stack: 3

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.144698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:5d64b679908204b101eb186cccfd9ea3d0e4a59ecb7aeb547ef2b5b5009f8bae

Observation b2b38a37-a93e-4bf0-b9f0-7611a95edd89 · outbound

This paper cites and Neubig, Graham.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment and Neubig, Graham

Reference 23

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.160944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d4f99320ded302602de06fd73ac22576322ef97c67c322d85d69f4f1b99093fd

Observation 87180d69-720d-4e50-943f-4b4bd1f9b007 · outbound

This paper cites Extending Multilingual BERT to Low-Resource Languages.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Extending Multilingual BERT to Low-Resource Languages

Reference 24

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.050265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8dceee04ddb28a02d9995b8bf5d039747f408cbef0f79bc1933286220a8789f0

Observation 7c7a378a-184e-423a-8ad1-61a97de6db66 · outbound

This paper cites UNK s everywhere: A dapting multilingual language models to new scripts.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment UNK s everywhere: A dapting multilingual language models to new scripts

Reference 25

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.121206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d2f431042274e27608d0e58bf7f8879db7911f5d490fc04d5ca64dd4f94ee12f

Observation afe16580-6553-4505-aca0-e3de67f4b0c2 · outbound

This paper cites Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.133485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8fa5906801233d5ec5a3efd14fd813662a1f62eeddc71faae30116bdaaf8ca64

Observation b10784e0-a9fd-4a86-bb59-4bf4b5ad6b80 · outbound

This paper cites As Good as New.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment As Good as New

Reference 27

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.250520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:a81ff5508abb80aecdd4da2268016cacdba0f9a3430b1271c75da1e119beb05e

Observation bea54dda-2bf5-4495-803d-c0b4f482759f · outbound

This paper cites Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction

Reference 28

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.031285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d5ce9e623d3285b2e46a619c97a661f6c38ecc6c7b23ff8ea6d226518d1a266e

Observation 77212c87-331d-482b-9a41-bab2c7336724 · outbound

This paper cites A Relaxed Matching Procedure for Unsupervised BLI.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment A Relaxed Matching Procedure for Unsupervised BLI

Reference 29

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.070386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:2832ef21d2c417c0eb56199c6f4f1de008538088dd7b4933c959ee2e4fabf0a6

Observation e8dbc786-2a8f-449e-a8df-ef13aec6faac · outbound

This paper cites 2025 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2025 , eprint=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.006041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:73978581904f6b14cfd265dbb48d1bb3bbd5c6e81960115525ae2a62c2f1241d

Observation bf157dd3-c505-4ec8-ad7f-407dbb9486bb · outbound

This paper cites Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

Reference 31

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.182919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:cd4dc7fa60cddda871828052e950fbb1a462a1652a8bf9cca883cd7078eab5bb

Observation a982fe63-b3f6-4e7d-ad6b-cb5156ab4041 · outbound

This paper cites LNM ap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment LNM ap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space

Reference 32

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.016799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:e34db1c47a492824543b20b6d6d2cc7355cffd1451078ecc5c222c352d976c94

Observation f75372a2-692c-4ba6-9f40-79e663c5ee7e · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment The Twelfth International Conference on Learning Representations , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.088340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:c1ecc54c2aaa26cb297b5678b60909ae140eb859d29dbb02e8c4b22f66e4d0c8

Observation 8f4eb75e-31d2-4ed6-ad99-98c24a0800b7 · outbound

This paper cites Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces

Reference 34

Resolution
verified exact
doi, observed 2026-05-14T19:37:50.974209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:1b4bb895212cb2340acb3d75339c8aea23422ce1f520db505505c7178eef26d5

Observation 8ef898c9-35b6-41a0-a257-8d46bc964f0b · outbound

This paper cites Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Reference 35

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.007121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d38c7150959ea75b0bd7a8fa49cb3379393e6ebb7247bf3983a2f5f615d4a125

Observation a8873b35-05f4-4f30-9077-b5adf23bd945 · outbound

This paper cites CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:37:52.257765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:cb6177fb327c100c9f85398219671da5740b33a4f3e7599a5c4a92c364b3fb48

Observation 59f2ecbd-4f09-4a09-9333-5f8b958d09d1 · outbound

This paper cites 2023 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2023 , journal=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.031008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:26321c9ace01af0f13503cd670831a59a84fb95aedfc168e3322678b334d5754

Observation 89229487-ec01-48f2-b990-8eaa31745cbe · outbound

This paper cites 2023 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2023 , journal=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.194990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:b640dfcbd66426f258cdec8b65ae249d23734567f4e4c91d9a7f9762da151153

Observation e24d1c7e-c265-466f-84ad-f4b3c9eb2102 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.251393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8943f9530f3196ca66623d3ce5362eb363f0def42add7c9c8691861b905ab42c

Observation 97dbd429-295f-47e5-9df3-2e55b19b500b · outbound

This paper cites A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.198847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:edd3fe61f6d5d25932f754f644a6e7aca41b0582157ae3c62d222584a13f6c03

Observation 78569d34-4a5d-4a5b-ac2a-886227e68f91 · outbound

This paper cites 2015 , issue_date =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2015 , issue_date =

Reference 41

Resolution
verified exact
doi, observed 2026-05-14T19:37:50.997577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:3aab3f29f8724c544694c21953c85f353fe14e7d5fc2068e855ab8a7b6ba7c37

Observation f8c9e0e3-1e31-42f2-8954-d28f074661ac · outbound

This paper cites Associative Multichannel Autoencoder for Multimodal Word Representation.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Associative Multichannel Autoencoder for Multimodal Word Representation

Reference 42

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.246532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:b7ca55bb5ca6be670891c0b12374dd36a2944303edf319868378eff22ceeff57

Observation 10e9fb93-5241-431e-80a8-6cbbe3f330b3 · outbound

This paper cites Multilingual word translation using auxiliary languages.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Multilingual word translation using auxiliary languages

Reference 43

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.254512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:53879e6c4d428078c71e21d226091684a2219a23fd23ef582e3d0bf725c016fc

Observation e16a2e9e-c5dd-4ba8-a788-ae8ad55b2cde · outbound

This paper cites Unsupervised Morphology Induction Using Word Embeddings.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Unsupervised Morphology Induction Using Word Embeddings

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.125671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:720e8917cc38dddd5699eacca0339143bac18965b09b78b91da334f5464de49d

Observation d3e70ce6-ca5e-4927-ade0-5ea49dfe1cee · outbound

This paper cites Large-scale Word Alignment Using Soft Dependency Cohesion Constraints.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Large-scale Word Alignment Using Soft Dependency Cohesion Constraints

Reference 45

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.228045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:bba6dbf20592069f35ea8b0e725de82999017194cc5821239e46fb682328338c

Observation 0bf808b1-4985-44df-81aa-ba47b1ab0b16 · outbound

This paper cites Proceedings of The 33rd International Conference on Machine Learning , pages =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of The 33rd International Conference on Machine Learning , pages =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.080066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f847f9c3802399862309360f36d8b913a51d4d41b4922eae5459a8693c4046d0

Observation 7e109d24-558e-4d29-94bd-dee9064de4e3 · outbound

This paper cites 2024 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2024 , journal=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.183459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:ad7576ff0a76a238074b914c43c5bad1db9856f343c0f555674830689e4db31a

Observation e157027e-e9f5-4017-ad45-f81451aaf209 · outbound

This paper cites 2024 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2024 , journal=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.171581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:75c23bf66e64ae3f3e15118bae4de31bab566444f05d5ca32bfc30fe038704f6

Observation 2c25ca71-cc46-458d-80ad-d3fa4bfba4e6 · outbound

This paper cites 2024 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2024 , journal=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.191503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:add0a9899b8a0c7831a9da0fced89ece8a33c9d3fbaa0194047ae36f3f4db24d

Observation a9c5007b-05db-4d79-bb47-1725c585271c · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.311622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:787d455d44fc70ab6c12384597d352ed97ea7dba87bb8f40f8cdf8814531e296

Observation 590d95a8-6b5a-4a0d-8299-adf804bd6020 · outbound

This paper cites International Conference on Learning Representations , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment International Conference on Learning Representations , year=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.167801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:4cd57232ce6f2e7bbbc19bda871091294e7246ea82315512ff2d0320eacdcbd2

Observation 55bf5c38-28f4-4912-80e7-ad3d35cb1d84 · outbound

This paper cites International Conference on Learning Representations , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment International Conference on Learning Representations , year=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.157217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:4bb2ab484619abfbc2962413b84af002d73a2b9b5d5e6a968ece2fe4966b10c9

Observation 1843c140-e5fb-4277-8853-f9c32432026e · outbound

This paper cites 2018 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2018 , journal=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.164265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:679a6e4817aef76fa1ccbbf83e9dd52b63a66ed245404082564a96d99bd13faa

Observation eaed732d-0132-40c2-83bb-8bcd0c11e4f7 · outbound

This paper cites OpenAI blog , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment OpenAI blog , year=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.163507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:1402879236b7fed1b01fc6e359abfba160e9d5841751105559d0c90c860fa53e

Observation 5ab13273-32b5-4ccb-ae67-c667acb3f371 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness , volume =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness , volume =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.141303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f5df7831b58d2822cdc4a063ae4714def740c942a4c0fb58a866c4f493d23dd5

Observation 2bc51e5d-cec2-45d3-8660-b66ab5cd3058 · outbound

This paper cites Language Models are Few-Shot Learners , volume =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Language Models are Few-Shot Learners , volume =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.132981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f8e1feb40b1dde8240e38fdf28f237b6ebc3bff3598c0f2bcbf68d4732f803d4

Observation 8a780cc5-b83f-48f1-95d5-ca171842739a · outbound

This paper cites 2023 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2023 , eprint=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.038995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:55ef165d74db5ed321b0c4d15f39a99ee6d3fdb813941b1d59bc4380ce420daa

Observation 935013e7-4922-4995-9ec5-7cdfdc6d4abe · outbound

This paper cites 2020 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2020 , eprint=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.206519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:87233cf9b70c6d59a4bf9f40a356f3e79e72c309d0a633d898246e065e84da36

Observation 32572f60-8a5d-4f7a-851e-a47fc8ecf1c7 · outbound

This paper cites 2022 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2022 , eprint=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.051691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:05d0a6103719b0ac9d6a495977abfd49e6d2c8c6a3b82074de6c96028b4a839e

Observation 5d51032d-2359-4208-ad88-045527733c0f · outbound

This paper cites Rasley, S.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Rasley, S

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:37:51.218334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:3367727d298f2ce264230307331c15a88a605a8c2bd3411e53bfdfb25e07f83d

Observation e606c880-0b46-444a-9556-ecc1167917e0 · outbound

This paper cites Skywork: A More Open Bilingual Foundation Model.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Skywork: A More Open Bilingual Foundation Model

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.283233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:ddba19e3804e6c2bd897ed5d957d3184c3d202ccf5b75a64f7865a9283a9541d

Observation ab158432-9aa0-4370-9329-649ec41d4444 · outbound

This paper cites Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.289945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f5b5b650b91aaeff1dd03f75f24666352249b3ae9ea25224f7229115fe87ccad

Observation 37e845c5-0c39-433e-81d9-e5576226815c · outbound

This paper cites Mistral 7B.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Mistral 7B

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.245366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:baac436189bf6aa3ce62d51bef828187c3db668b1b1e50ae6534423b47fa9461

Observation 9d6dd6b1-692f-4f75-8578-4c47ecef987f · outbound

This paper cites From English To Foreign Languages: Transferring Pre-trained Language Models.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment From English To Foreign Languages: Transferring Pre-trained Language Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:37:52.239566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:2a0dc14a0f8067b90c371bdf37e5cda4f87bc3398648d8167c7615660927db92

Observation da7b7831-8b7a-4651-aa2e-9d9cb3ae7ac4 · outbound

This paper cites A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction

Reference 65

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.103532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d31b9acd49d572f49f6b2960a57b8bd29d6319ee5720f7024b51c2b55ac623b8

Observation c02e504b-cec5-4350-a6d1-574d1652f99e · outbound

This paper cites Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction

Reference 66

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.098544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:4377a9534a08dab8757e98cddfc85b19424cd337a49f4d33fb39f1690c118b4b

Observation 3d68f58c-cd2c-4c9a-8370-d4ee5db9171a · outbound

This paper cites Multi-Adversarial Learning for Cross-Lingual Word Embeddings.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Multi-Adversarial Learning for Cross-Lingual Word Embeddings

Reference 67

Resolution
verified exact
doi, observed 2026-05-14T19:37:50.983716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:a2ccddb5d209e0419a8b3608e07abac991af5dc1b3f6d44c9a9339b57464f0c8

Observation d4d24ee3-9f21-47c3-b465-5a04d1328a40 · outbound

This paper cites RAPO : An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment RAPO : An Adaptive Ranking Paradigm for Bilingual Lexicon Induction

Reference 68

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.026716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:e18b3f9291675f420f7708c2a7853fc93e1307a85c8addfddb96b16a87e35fe2

Observation e4d18b47-5044-4a93-9b7a-993bd3a92d13 · outbound

This paper cites Extrapolating Large Language Models to Non-English by Aligning Languages.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.297282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:e1103f03f6c1b2ec484127654e224a029b47ea0ce68066d6f75172faae884c8b

Observation e33b67ea-0a6d-4ac0-a1dd-509c505a9bb4 · outbound

This paper cites BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.304241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:3859ab7dd535b9975fdfd638263fe184c5b1cfe534ae8f883fa7a53186e62335

Observation 112535b0-c494-4d30-acac-c9e8b06b01bb · outbound

This paper cites 2017 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2017 , journal=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.113193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f38d1ecf9d61be20515ed9311ccd7beb0d4308fcdb3288abd38217a8763a0ed5

Observation 859b98fa-fe60-4bcc-929c-6bf6cb3b7f70 · outbound

This paper cites 2023 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2023 , journal=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.097574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:37ea072e81a6f360eb18240b1233c2641ebb10502ff9eb9269d0ec04a598b055

Observation 11829b52-f416-4feb-a154-cd5b237c24ea · outbound

This paper cites an unresolved cited work.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-05-15T18:10:15.109510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:912b176157608965658043345b38220abc2a3f1a9fdec5965d8609b8de073cf3

Observation 5d591a1c-30b5-4d94-b2e8-e2df291baf91 · outbound

This paper cites 2018 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2018 , eprint=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.120900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:36fde324e576751d7cc7f069f7a2e33494fa4c632d24ac42256e4a6c92af1ac1

Observation 071a0cbf-eb19-4a57-a3f6-92bc59068fd6 · outbound

This paper cites PIQA: Reasoning about physical commonsense in natural language.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment PIQA: Reasoning about physical commonsense in natural language

Reference 75

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.150165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:e7f99024cf07aa3f4dc979d98ed59b7baca30bf4efbf40363f1440122f272b52

Observation e2c591f2-41c7-49e8-b461-22e069d22357 · outbound

This paper cites 2024 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2024 , eprint=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.128832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:7c61425699006c633ebf55c5a53267b6db8e12c3a746c3001a92881c8e27c552

Observation 7415a3f9-5039-4105-95d4-0f73395c8d5f · outbound

This paper cites an unresolved cited work.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-05-15T18:10:15.160798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:8a48def6b0007507ade94cebd37c514acdf1289a320e10a169a5012d8e76d856

Observation 2faf664c-e44a-4889-9315-c520ec27618f · outbound

This paper cites 2016 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2016 , eprint=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.074975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:15a84540c14fa592cebd252fbd489ee166ff7eba38afdf8cd3a6352ffd7712a8

Observation 3f49ac52-d862-47d4-96bc-ff26a702004a · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment The Eleventh International Conference on Learning Representations , year=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.107237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:386970feef518eca612b5184972e705399e0e342aa616b51ca1019966670a2d5

Observation 9452f7ce-08c9-4a81-9bcc-1a10151a9496 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 80

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.012125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:65ae01a13abfb0f9c6cf6799e5f37a4e7e30cd458ac4b6505601b7749504a346

Observation d117f94e-5fd4-45b2-8dc1-9878ea3943a1 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.059742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:560c2c00299ad2db762b789b3f511b1806fe1c11bda6a8f97c2853ca2bd29104

Observation b283957a-6941-40b6-ba66-975eab29e456 · outbound

This paper cites Qwen2 Technical Report.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Qwen2 Technical Report

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.269750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:37e30fe3a167d70a50592baafc4fb3837e423ec814b11705ff86bf1369deeb2e

Observation 29b8c37d-0fe2-4801-a246-5068b8d06283 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Gemma: Open Models Based on Gemini Research and Technology

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.263948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:09562df5c132f87c8073649542d8322b98bf16c694ede0715791909c7516f19f

Observation 5a6707a8-f4f8-4263-979c-aabef2b26533 · outbound

This paper cites 2020 , eprint=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2020 , eprint=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.009990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:cf8fbe8fb46168652c103963ee84e7f0edc187952cbb23feb7903518d0ca3fa4

Observation 5b8570b8-9c8b-42dc-9ff4-66c47ea37257 · outbound

This paper cites 2013 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2013 , journal=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.048152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:9eb2cd385c16eea94e35add540e033a4a1ebadfe548eefc165e2c002b4b64d3b

Observation f7891fb8-2929-4642-ab26-fc50e18fa663 · outbound

This paper cites 2013 , journal=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment 2013 , journal=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.110767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:04d88e312fae94317ba37cf5ff55ead3a1ec94c0fd600df01ac4ee3402a923b2

Observation edd022f0-0c8f-45b8-afe1-58b4675037b6 · outbound

This paper cites Journal of Machine Learning Research , volume=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Journal of Machine Learning Research , volume=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.202629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:187f22d361581497d8a36073eb185eba5c8d5c4e42db9d9a56be4d108c45df8a

Observation f68a5172-21c9-4df1-86e5-6e21c032a90f · outbound

This paper cites Neural Computation MIT-Press , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Neural Computation MIT-Press , year=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.118249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:1c67a09be2c42b64ece66c0bcd0f9510b2163c207fd6ba55be94b5bf4f35a1de

Observation a64e14dc-be9e-468b-8515-e939019e0d91 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 89

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.233215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:3cc1f586f3d734ba363cebfccc6b0081bdb50f50ecdec280a73844a22db2ba9f

Observation d0e9b532-1aee-4f2a-80db-bf59dabbd0d2 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 90

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T19:37:52.275171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:d5c27fae9687e0c6bc19f08d51fff9626dedbbe5a4ecf61f9538b1dfb0deedb6

Observation f917a94c-5174-4e96-9559-591a3ac69d05 · outbound

This paper cites and Lin, Lucy H.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment and Lin, Lucy H

Reference 91

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.045049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:3bd8d7b73548c0f1e7ef21d1c19d3691296700ae40911b7e6cfa255b578bfcef

Observation a7a906bb-4024-4e87-9035-7e7bfd2ff8da · outbound

This paper cites WECHSEL : Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment WECHSEL : Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

Reference 92

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.108527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:f3c3a4c5cf3b891ac18af6119d840a4b2a580dfaf9f4f63c107eb108a7f44542

Observation 40ef5f36-cffe-45dd-afdc-1fc34d3568ef · outbound

This paper cites Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (

Reference 93

Resolution
metadata mismatch
doi, observed 2026-05-14T19:37:51.232520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:b72ce228ce1cc9952150c38e327a6584186cb97d19575e941c7d629c755081c4

Observation 5ca5d007-8179-4971-bd75-abd5f7f9a037 · outbound

This paper cites FOCUS : Effective embedding initialization for monolingual specialization of multilingual models.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment FOCUS : Effective embedding initialization for monolingual specialization of multilingual models

Reference 94

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.197190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:7f9904005695ccaa73db6d5874de7371206936496e88c69862da62fc727f0bd8

Observation 7a03110e-08a4-4aee-aa43-d0c3efac27e6 · outbound

This paper cites and Blevins, Terra and Goldfine, Nora and Steinert-Threlkeld, Shane.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment and Blevins, Terra and Goldfine, Nora and Steinert-Threlkeld, Shane

Reference 95

Resolution
verified exact
doi, observed 2026-05-14T19:37:51.079895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:52da76d66a3f39294d7cc4050d649f83393e9873459465b639fe7956436f0a65

Observation 2a922369-3ad0-4e8d-8991-45f096791510 · outbound

This paper cites A Simple, Fast, and Effective Reparameterization of IBM Model 2.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment A Simple, Fast, and Effective Reparameterization of IBM Model 2

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.114691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:aa65437a032a23b182478f744252af6b835643410b72a620dbcbf9b7fcfbb582

Observation 3c87afdb-eb33-4d04-8d4b-bf5e9fd6dc0d · outbound

This paper cites A Mathematical Model for Universal Semantics , year=.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment A Mathematical Model for Universal Semantics , year=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.160198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:ee55d0c73ddcb891ef1ba1bdb803a8b7a402367200666502fbe832ae6f74d1fe

Observation d784ed48-1cce-4815-aefb-0dc4ec0a0d02 · outbound

This paper cites Identifying Word Translations from Comparable Corpora Using Latent Topic Models.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Identifying Word Translations from Comparable Corpora Using Latent Topic Models

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.117439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:dde46dbd8bf56f7d4b86b98163a7709843463c70ed705548c9e646781d6ac026

Observation 46631cc5-173c-4bd6-9c9b-043246c47de6 · outbound

This paper cites Learning Bilingual Lexicons from Monolingual Corpora.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Learning Bilingual Lexicons from Monolingual Corpora

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T18:10:15.153157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:a56baab3df4fe310541647571dd352e02be62286a320129e93ec2c9e80197ea4

Observation 1c9159e7-4130-4692-aa12-6560a30afd99 · outbound

This paper cites Fast Vocabulary Transfer for Language Model Compression.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Fast Vocabulary Transfer for Language Model Compression

Reference 100

Resolution
verified exact
doi, observed 2026-05-14T19:37:50.979237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:a9511fe044998bf411c23d455819f45c5faf93141d6944533bb393b56f4880f0

Pith citing papers

Observation c32d6850-d25d-4e88-9a69-3182f3e7d44e · inbound

Language Models are not Equally Robust to Non-Canonical Tokenization across Languages cites this paper.

Language Models are not Equally Robust to Non-Canonical Tokenization across Languages TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-30T19:48:50.857126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T19:48:50.857126Z digest=sha256:26809b8d866fdd57496bc82dbd670e4cd40a7c1fd0bd4295234d6043967d94eb