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Paper Citation Record · LEDGER

Retrofitting Large Language Models with Dynamic Tokenization

As of 12 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2411.18553.

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

pith.paper-citation-record.v1
2411.18553 v3

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:10:24.149417Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:35:02.870481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:36:16.955692Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c649ff6-10d4-4fde-9ee6-78be1e05d81a · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-12T11:10:23.992803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:10:23.992803Z digest=sha256:f81a929c9309b35e745a8beb9d99d5bc9d85f100739fe9d7070192dc6eae9afa

Observation 73ff951d-33e5-4423-b7b8-dae9ec93bcc8 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:23.996416Z digest=sha256:590b6758ad1c50d6af8a4cab4d2f88491f899e5082791f436daa7d9c063ff843

Observation 46770099-e3bb-45f8-b13d-ee1fccca925e · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-12T11:10:23.999428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:10:23.999428Z digest=sha256:bb6b025e67b787af8db92a88c3bae3ce1117ae3132e8410a8d300dc6a08c6c6a

Observation 9e81f331-52cb-4d2f-8c76-79d52d460ac0 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-12T11:10:24.006477Z digest=sha256:fe07ac47716ffca3072bc939a1ad8e55a15570666d45b0a00a1f0722e80449ef

Observation 2802611a-9c59-4d4f-b280-8862032746c8 · outbound

This paper cites Clark, Dan Garrette, Iulia Turc, and John Wieting.

Retrofitting Large Language Models with Dynamic Tokenization Clark, Dan Garrette, Iulia Turc, and John Wieting

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:10:24.009769Z digest=sha256:16af7d0452b88782fd6178efa281c8db7ffe42ffc85b12276cc902693208f287

Observation d6fa0937-25d1-4527-81b3-57d7c429415c · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:10:24.012732Z digest=sha256:a2baa860c9a669affe2a30fa838990b7ff443792f6ec08fae408377bd4a1a06f

Observation e4c3349b-a7d7-4f94-a059-84c9cadfb101 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-12T11:10:24.016043Z

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source=arxiv_source observed=2026-08-12T11:10:24.016043Z digest=sha256:81b973a367fe8610a22123b5564457342b4e6492cb047b672098d95d3030d8df

Observation ea17c559-aae4-40c8-9a93-f83879e8a1f3 · outbound

This paper cites Getting the most out of your tokenizer for pre-training and domain adaptation.

Retrofitting Large Language Models with Dynamic Tokenization Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 8

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source=arxiv_source observed=2026-08-12T11:10:24.019296Z digest=sha256:7a991c2dea9c44483f8481f58bc01d4128891891890e1bd78884db277fc7a366

Observation 6a2e255c-e158-4bdb-a9cd-a2292dfdd828 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-12T11:10:24.022265Z digest=sha256:b3ebc0da1b321c7bffa3e34debcf553919c8cf502b877b2be49a54d2ce782031

Observation 0da596d8-e077-48f6-832d-74e8481f81e3 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-12T11:10:24.025265Z digest=sha256:c8c12b6b9b4461759cd8c0f893794366877734a067928d9c186314eeaddb453e

Observation 77d9aa65-93da-4839-9d0d-16e0ad2a5ab6 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T11:10:24.028049Z digest=sha256:064650be2088475f904aec284fab116bdd6b4afa1d8053cad38db1035a12f503

Observation 97b0b7db-930c-48f0-98fc-b4dc4098173f · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 12

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verified exact
doi, observed 2026-08-12T11:10:24.240824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:24.030869Z digest=sha256:7f2f12381aaf478778c1491756a7cc7c883ad1d6a8b42d57434dc45e2a810e46

Observation 87a47947-2d99-4750-809c-3954aef60e8e · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-12T11:10:24.034520Z digest=sha256:a6d0fdb9dc82fe0a3b756e65bcf999a67ad1383ac42ead671096bc249daa1fa6

Observation c54f7768-dafa-44b9-b1a4-e8c8924d2bc7 · outbound

This paper cites xVal: A Continuous Numerical Tokenization for Scientific Language Models.

Retrofitting Large Language Models with Dynamic Tokenization xVal: A Continuous Numerical Tokenization for Scientific Language Models

Reference 14

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source=arxiv_source observed=2026-08-12T11:10:24.037284Z digest=sha256:00b3275926aa7ba2f806369bdc12da0dcc04e3927697f97086a62f1fa082a9e7

Observation 695b67a2-54e3-421a-a675-473357b39e48 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-12T11:10:24.598759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:24.040291Z digest=sha256:34ce85ac043610e22dc4e746990f4535a67ee65f2a413f4bc3791945a9ff741f

Observation 28fd35a5-3066-486a-a852-8573879d5dca · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-12T11:10:24.042986Z digest=sha256:d57fc4accd0fbb991700ffd96f793800e08c553f06174d248709167aba742a57

Observation 18748b94-7a0b-4b5c-b2b9-9b6c9e3e95d6 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Retrofitting Large Language Models with Dynamic Tokenization Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 17

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source=arxiv_source observed=2026-08-12T11:10:24.045740Z digest=sha256:05ca2e34c30d18d7e99b53b4d8ea5c0fdd727d3c9bf8582b36b513f310959fde

Observation c58afe74-f5c5-4608-9f97-1fbb6a07aabb · outbound

This paper cites Mistral 7B.

Retrofitting Large Language Models with Dynamic Tokenization Mistral 7B

Reference 18

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source=arxiv_source observed=2026-08-12T11:10:24.049510Z digest=sha256:b740c6d4b9171a5b96714019c50ee7b259124f6d3b6583ed1f02edec3f2ad011

Observation 1aac469e-0b55-4782-b2c6-bfb996e28771 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-12T11:10:24.052596Z digest=sha256:0abc4746188f8561029c4b663d619810cc3de1b33ea30497f7746dde7486e38e

Observation 5f950c0b-4858-4d0e-a1cb-9a23556b68db · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-12T11:10:24.055521Z digest=sha256:fd70c5ab2ab3f0f17d0a682cf19fdb5afcc8d5b0e3cac4a143f9dfbd362deadb

Observation ae6a5188-7be6-4e00-8229-9a75905d0ed4 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-12T11:10:24.058306Z

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source=arxiv_source observed=2026-08-12T11:10:24.058306Z digest=sha256:0902db90d9cf12c5bc2674e388452f54c51fbf09699bde6728b65c456b43fa91

Observation b25c5602-c8bf-4107-a514-f2ed9049ca9c · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T11:10:24.581172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:24.061248Z digest=sha256:5a08d38e43b202716fd318fd28a1ba4d8a396c4deb7cc434a1dcadb48606fdab

Observation 368e064a-9cab-412f-8f2c-c58f1d0a5ebb · outbound

This paper cites Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.

Retrofitting Large Language Models with Dynamic Tokenization Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 23

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source=arxiv_source observed=2026-08-12T11:10:24.063902Z digest=sha256:c1a82e6ba1c2a644f43fc435fe8417be1ebc804579374bc2312af8e979816656

Observation c91936f2-1926-46d3-adb5-2ef5551cd716 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-12T11:10:24.067616Z digest=sha256:93c7b2858af60e86c17e31191fb12449ae35aa4a18769136c72aefd2e0f3c7f1

Observation 59ced813-ec55-4e0b-850e-6ee63ca3158b · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-12T11:10:24.070790Z digest=sha256:5028532ce652debdf505e630bf1892ce9ca3ac5b3d263913c550dee38210012d

Observation ebb72ef0-dcd2-4280-a36e-c3494da59f4c · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:24.073599Z digest=sha256:1b6f6629beb12c35184c7399a317aa6e818df3c3e8e2f86da4be363d5ac8fd4c

Observation 6c71c637-14e7-4074-ada6-cdc88767d9c1 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:10:24.076224Z digest=sha256:c59da9643da704579168c8611918525c4a57fa3251b64ff1f0e801f7ca347b34

Observation b934043f-571b-40a2-9db3-f0a287490f72 · outbound

This paper cites Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP.

Retrofitting Large Language Models with Dynamic Tokenization Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Reference 28

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source=arxiv_source observed=2026-08-12T11:10:24.080095Z digest=sha256:3ba8706d0a7201a2c5719fed0e30ec95f7b507deb3d6d334706b5046aa9cbc86

Observation 8fa8b262-0c98-4a29-8914-f5bad516d75b · outbound

This paper cites Large Language Models: A Survey.

Retrofitting Large Language Models with Dynamic Tokenization Large Language Models: A Survey

Reference 29

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source=arxiv_source observed=2026-08-12T11:10:24.083433Z digest=sha256:e361d7d0e5ae02ae891146448ad08d3a8c13878f42f1e61b6060786319363771

Observation 1b83bc81-36be-4758-91c3-ba34518a85ca · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-12T11:10:24.086600Z digest=sha256:05df571622da94294181807bff0528b39b86bb072ed84e1ae30a4038fc0f3b00

Observation 4eac5368-7150-4195-aa8a-9d43bc0651c6 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-12T11:10:24.090210Z digest=sha256:b2d0107e723ec19652854fe36d66aa46cd16166f3653269bed842e8da0d5cea5

Observation bc7d2e14-363e-4011-a617-75cbc356dc4c · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 32

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Observation 0a60cb4f-2b74-4cfb-94da-c08d70bf0c8e · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 33

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Observation 56120d6d-bd18-4df5-b3df-551858d092a1 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 34

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Observation 2f41f494-f3e8-484a-a88e-21d2f0c98710 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 35

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Observation 3e0ea1c6-a3cf-410c-b844-fcd0f5612544 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-12T11:10:24.105058Z digest=sha256:cd78e97128a20f5089585e44209f6d296246c8345a248c2a3716627cb3920da0

Observation 8941746f-b137-4845-a1a2-c8c7428c3c5c · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-12T11:10:24.107858Z digest=sha256:6553435c73da44598d853ad0f16f7119b318b9eaec19b365d8dba9f1461656e4

Observation 8107a85b-ecdd-4316-914b-9ca760d0c723 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-12T11:10:24.111844Z digest=sha256:b1c4e4cf4126c91b3590443146c656f24c6751bf41fd1cb594f1eeff848bd21d

Observation 214cf2cc-044c-49bf-a8c9-bad74686fefc · outbound

This paper cites Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Retrofitting Large Language Models with Dynamic Tokenization Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Reference 39

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source=arxiv_source observed=2026-08-12T11:10:24.114765Z digest=sha256:402b3105b5e50679b95ef9db0bb70722a6621b864a1ba2f06977487dfd591b35

Observation 847b2585-6299-4047-8f99-bd312f675f08 · outbound

This paper cites Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.

Retrofitting Large Language Models with Dynamic Tokenization Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

Reference 40

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Observation 179c1195-742a-42ac-9b66-8793acf74c85 · outbound

This paper cites Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, and Donald Metzler.

Retrofitting Large Language Models with Dynamic Tokenization Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, and Donald Metzler

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6d8078d3-e2d4-4993-a615-570690c11d1a · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ff9197a8-d4cb-4a3d-9659-2e8bd6ed117c · outbound

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

Retrofitting Large Language Models with Dynamic Tokenization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c7c19f5-056c-4177-a71b-1858c4ecd813 · outbound

This paper cites Greed is All You Need: An Evaluation of Tokenizer Inference Methods.

Retrofitting Large Language Models with Dynamic Tokenization Greed is All You Need: An Evaluation of Tokenizer Inference Methods

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:24.129617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f824032e-5a6b-4e84-a3fb-36e13217ba31 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 45

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e78dfc47-2ae5-4db0-b567-ef1ec2073734 · outbound

This paper cites Xu, Uri Alon, and Graham Neubig.

Retrofitting Large Language Models with Dynamic Tokenization Xu, Uri Alon, and Graham Neubig

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2020368a-31f0-4490-9f33-284553ea8536 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4897db97-eee7-43f9-9c0f-b5180fa826fc · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:10:24.531860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 694dc63d-7bd4-494e-be2b-8a4c609198b7 · outbound

This paper cites an unresolved cited work.

Retrofitting Large Language Models with Dynamic Tokenization Unresolved cited work

Reference 49

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9a00afb8-6ccd-47aa-b981-29ccd21c0919 · outbound

This paper cites online" 'onlinestring :=.

Retrofitting Large Language Models with Dynamic Tokenization online" 'onlinestring :=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:24.146330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4761b0ec-5945-44c5-aedb-85ea5f670efd · outbound

This paper cites write newline.

Retrofitting Large Language Models with Dynamic Tokenization write newline

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:24.149417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 879b6887-3e87-4e8f-a51d-2844504486eb · inbound

Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have) cites this paper.

Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have) Retrofitting Large Language Models with Dynamic Tokenization

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:36:16.959568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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