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Paper Citation Record · LEDGER

Conditional Unigram Tokenization with Parallel Data

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.07824.

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

pith.paper-citation-record.v1
2507.07824 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:35:44.562542Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact3
  • verified fuzzy10
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77f33ca5-ac96-401e-bcd2-7dc775b95995 · outbound

This paper cites Do all languages cost the same? tokenization in the era of commercial language models.

Conditional Unigram Tokenization with Parallel Data Do all languages cost the same? tokenization in the era of commercial language models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.414116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.414116Z digest=sha256:55544a07464f8717438364291cce26d4434a7dac55282258957a8ca4a3a67e32

Observation c0ec52fd-c846-4712-a59d-ba7485d6131d · outbound

This paper cites an unresolved cited work.

Conditional Unigram Tokenization with Parallel Data Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.419221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.419221Z digest=sha256:a7152c17bab4276d44b8216d1d05fecad97331722450c18cfa01870d764142ee

Observation c245d5f8-f3c1-4ebf-9d18-c209eee0b1f3 · outbound

This paper cites F., Della-Pietra, S.

Conditional Unigram Tokenization with Parallel Data F., Della-Pietra, S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:45.086897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.424228Z digest=sha256:b53649b55aa2f673b7e2147693e02a862f05cf2be4e1022caf7c983cc70c936b

Observation 214d5a65-0d0a-422e-9db2-5db2ca7ec439 · outbound

This paper cites and Gildea, D.

Conditional Unigram Tokenization with Parallel Data and Gildea, D

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:45.070376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.428765Z digest=sha256:af18388d32a491171eb33920fd45ce3afb07b4b8023e686f19fe99e07e114c90

Observation 1d9f4ebb-be58-4a70-9ca1-ec0eebed4b2a · outbound

This paper cites Bilingual subword segmentation for neural machine translation.

Conditional Unigram Tokenization with Parallel Data Bilingual subword segmentation for neural machine translation

Reference 5

Resolution
verified exact
doi, observed 2026-08-06T18:35:44.741472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.433757Z digest=sha256:1bbb1bfd8d01f967d184dc02c161efc6aae82983d08d0cc4507560d0460e761b

Observation dcf4f5e6-da66-4b00-b4a9-83dd15f92d57 · outbound

This paper cites and Neubig, G.

Conditional Unigram Tokenization with Parallel Data and Neubig, G

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:45.053862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.439497Z digest=sha256:3b480f17f5ebe0f622b0ea35125bf852ecb5c84cf428b10c1bec1a4fff06cf7a

Observation 404e8589-a896-4f62-9b0b-2032ad944587 · outbound

This paper cites an unresolved cited work.

Conditional Unigram Tokenization with Parallel Data Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:35:45.038191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.444591Z digest=sha256:5bc46ace121dc58f6a25847c05f9ab18097582b0b1a36c7478f08367e670fea5

Observation 66a952df-1706-40f5-b815-ed49da267573 · outbound

This paper cites Beyond literal token overlap: Token alignability for multilinguality.

Conditional Unigram Tokenization with Parallel Data Beyond literal token overlap: Token alignability for multilinguality

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T18:35:45.023443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.448841Z digest=sha256:6c79eadeb1e91cbeae0c183f33bd0a2e33c9bf3631190155b1d9617ed293cfc8

Observation 276acd2e-72af-4633-882e-c661f88495cb · outbound

This paper cites The state and fate of linguistic diversity and inclusion in the NLP world.

Conditional Unigram Tokenization with Parallel Data The state and fate of linguistic diversity and inclusion in the NLP world

Reference 9

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unresolved
no resolver link, observed 2026-08-06T18:35:44.453373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.453373Z digest=sha256:f4e76f3709c05d5a7bf18463c06b707e125abb99d1b755336f6da220d68c3eec

Observation c8b25ad3-8890-4910-85d3-930965c088a9 · outbound

This paper cites an unresolved cited work.

Conditional Unigram Tokenization with Parallel Data Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:35:45.007365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.457758Z digest=sha256:b4ed17cb1eb0ab51378bbed7a55c21b347a6e881ff7d726b4c4067abebcfcdd1

Observation 104eb6a3-2c41-427f-bcca-2142750e42a1 · outbound

This paper cites Subword regularization: Improving neural network translation models with multiple subword candidates.

Conditional Unigram Tokenization with Parallel Data Subword regularization: Improving neural network translation models with multiple subword candidates

Reference 11

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unresolved
no resolver link, observed 2026-08-06T18:35:44.462215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.462215Z digest=sha256:d0094aca6aacf78b65c50463a56d49d4710fa1b0ee3e9786503d91b88962e323

Observation 8e576d87-52e5-4f1c-8f53-f258c86fc470 · outbound

This paper cites and Fraser, A.

Conditional Unigram Tokenization with Parallel Data and Fraser, A

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.992392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.466444Z digest=sha256:f53aba63d12cc628ca82439a8f7951da625a587c0d410c1d87e75613697bf8d3

Observation 7d48bc60-255f-4c9b-96e7-59f6277e529e · outbound

This paper cites and Helcl, J.

Conditional Unigram Tokenization with Parallel Data and Helcl, J

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T18:35:44.703806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.474029Z digest=sha256:19c0d93416047045cc5534e73e29e345f8ad668e08464ddc49f3b296b77c37d1

Observation 51fb6002-29ca-41f8-859a-392575ab6711 · outbound

This paper cites Tokenization impacts multilingual language modeling: Assessing vocabulary allocation and overlap across languages.

Conditional Unigram Tokenization with Parallel Data Tokenization impacts multilingual language modeling: Assessing vocabulary allocation and overlap across languages

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.478471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.478471Z digest=sha256:615a1e156d1c3c15998cf930affaae66a65c9cbf944d32945153acb1d484b2cc

Observation 9f61a3ec-f325-4bd5-ac86-9cf12dbc240c · outbound

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

Conditional Unigram Tokenization with Parallel Data WECHSEL : Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.483452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.483452Z digest=sha256:c2c8f9e796be4b9d78882a4de7dc01380e108759560c693290cc56897377e074

Observation d5700e42-f094-4b92-bf54-2cde7530d9cc · outbound

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

Conditional Unigram Tokenization with Parallel Data No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.488511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.488511Z digest=sha256:9c3c67c8508be8aa5c7a2755d7ee76be0fc877803291c3c5ecea0d1af6511e7b

Observation 875828a4-f630-4df6-8355-c065c47909c7 · outbound

This paper cites and Tiedemann, J.

Conditional Unigram Tokenization with Parallel Data and Tiedemann, J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.976947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.493537Z digest=sha256:f9ba7b7d97c65f532ecf380b82659579ad5e2e149788b4429dfd84ac6ffb7b58

Observation 22083a4d-4dde-4c6a-8c77-f23e0616f09d · outbound

This paper cites Bleu: a Method for Automatic Evaluation of Machine Translation.

Conditional Unigram Tokenization with Parallel Data Bleu: a Method for Automatic Evaluation of Machine Translation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.497932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.497932Z digest=sha256:10df1c8f39c97fd117a7f0c332937f663f4c034bb696a3caf7ffd29028b18964

Observation c66bfc7a-f612-472e-89ff-d201b26e7cc8 · outbound

This paper cites Language Model Tokenizers Introduce Unfairness Between Languages.

Conditional Unigram Tokenization with Parallel Data Language Model Tokenizers Introduce Unfairness Between Languages

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.960471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.502188Z digest=sha256:f411b2789569d3c80d7dd3d3c7e6b3dc235d5daf04713a7810b97cbfd74c19c4

Observation c4060262-5718-436e-ba8a-0be7214a3df2 · outbound

This paper cites How multilingual is multilingual BERT ? In Korhonen, A., Traum, D., and M \`a rquez, L.

Conditional Unigram Tokenization with Parallel Data How multilingual is multilingual BERT ? In Korhonen, A., Traum, D., and M \`a rquez, L

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.506406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.506406Z digest=sha256:2fc5cb0873a2f3ae17151148011139dec56d066252b8e92a0adde1c907bfc81b

Observation d298363c-ce56-40f3-868a-575b745537f2 · outbound

This paper cites A call for clarity in reporting BLEU scores.

Conditional Unigram Tokenization with Parallel Data A call for clarity in reporting BLEU scores

Reference 21

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unresolved
no resolver link, observed 2026-08-06T18:35:44.511081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.511081Z digest=sha256:a69cb1bcee1701c9ecef3d4d017298b75e67a81d5809cb44ce20abdd6a4307bb

Observation 5fa5563b-b172-4b29-96a3-2fc1dbeb3c5a · outbound

This paper cites Language models are unsupervised multitask learners.

Conditional Unigram Tokenization with Parallel Data Language models are unsupervised multitask learners

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.944507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.515339Z digest=sha256:63114734994c7d2d0ebc01af429e7c1fc99ff1bb9881c940a2e7580fab8085a8

Observation 9c0ae07a-b9d7-4497-acd9-a27346c868f9 · outbound

This paper cites C., and Lavie, A.

Conditional Unigram Tokenization with Parallel Data C., and Lavie, A

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.519581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.519581Z digest=sha256:a5f15d03d156a3ed4d70668255dbec3e456fb846c4cfc9f3f8a90dabd710e8fd

Observation a8665cf7-5cfd-4b4a-929e-248b00747615 · outbound

This paper cites Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.

Conditional Unigram Tokenization with Parallel Data Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.523916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.523916Z digest=sha256:d357a8b99d333bc2e5b092f4e5b0caae6d369e84b7c8b412164a114f2186a9d8

Observation 4d79e9c4-25fe-4109-b931-7409933b5139 · outbound

This paper cites Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP.

Conditional Unigram Tokenization with Parallel Data Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.528703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.528703Z digest=sha256:5a65b7d56aceb98994a09c54bd432ecea045df8f07b1c8d8c876133e52049cad

Observation 7bb0fe1d-d9b0-45db-95ca-30cfd322eb58 · outbound

This paper cites How Good is Your Tokenizer ? On the Monolingual Performance of Multilingual Language Models.

Conditional Unigram Tokenization with Parallel Data How Good is Your Tokenizer ? On the Monolingual Performance of Multilingual Language Models

Reference 26

Resolution
malformed identifier
no resolver link, observed 2026-08-06T18:35:44.533454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.533454Z digest=sha256:abc164db673c4b5c17653c077ba526801a72945dbc082be4303a7ec1e8115f9a

Observation 8df6990b-ccaf-428f-8535-be850487643d · outbound

This paper cites W., Reddy, V., Zhang, H., Alameddine, A., Uzan, O., Pinter, Y., and Tanner, C.

Conditional Unigram Tokenization with Parallel Data W., Reddy, V., Zhang, H., Alameddine, A., Uzan, O., Pinter, Y., and Tanner, C

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.928832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.538629Z digest=sha256:0241a6c4f6a4dfddaa7d66aeb9c004a67697f4fb8ba0ba3b54e3f34e1046a86b

Observation 41589531-8b84-4d7b-945a-ea26408c880e · outbound

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

Conditional Unigram Tokenization with Parallel Data Neural machine translation of rare words with subword units

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.542993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.542993Z digest=sha256:6125126b9ed792a336d725965734bfb27223e63f0af8d5bb226e60e4a1904559

Observation 457187fc-0531-45c3-883e-f8340b0676e3 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Conditional Unigram Tokenization with Parallel Data N., Kaiser, ., and Polosukhin, I

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:35:44.912397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.548767Z digest=sha256:9cb9323f4592ec04286fa85ca796d9bd99007e6eb0a248f7ace2ed2f265c0fce

Observation b25b0c18-afce-4873-96ec-1c3513c7fb28 · outbound

This paper cites The U niversity of H elsinki submission to the WMT 19 parallel corpus filtering task.

Conditional Unigram Tokenization with Parallel Data The U niversity of H elsinki submission to the WMT 19 parallel corpus filtering task

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T18:35:44.897215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:35:44.553635Z digest=sha256:67e7d7aaadb95fd9d2dbaca84e49d993ec78489e875cbfd31f0b948ec85826b1

Observation 84b8d306-3a99-4b72-a2fc-cd6d3be95d2a · outbound

This paper cites Vocabulary learning via optimal transport for neural machine translation.

Conditional Unigram Tokenization with Parallel Data Vocabulary learning via optimal transport for neural machine translation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.557893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.557893Z digest=sha256:7cc3f3e08ff0c54b827011e3fb1c84769b22011bbb8c0d289b0e794f0c9add96

Observation ff2a1ee5-93e3-4856-ae44-ed3d73095443 · outbound

This paper cites Tokenization and the Noiseless Channel.

Conditional Unigram Tokenization with Parallel Data Tokenization and the Noiseless Channel

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:44.562542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:44.562542Z digest=sha256:92e3adbc8b87578aa16be1d7209749985bc6d6b49bd7697b6ba3ae0bb14aaa6a

Pith citing papers

No inbound Pith citation observations are available.