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Paper Citation Record · LEDGER

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2506.06607.

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

pith.paper-citation-record.v1
2506.06607 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:14.970827Z

measured 39 of 39 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:58:06.361703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:15:22.246413Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 928c284b-91da-460b-b551-475d37b43ba8 · outbound

This paper cites Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Reference 1

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source=pdf_text observed=2026-08-07T05:58:14.817137Z digest=sha256:acee2a2b55e313d7a2dba32ca2b773afc011e340d69ef4532a55c9861930f5df

Observation 033c0afc-f711-4761-a88a-fb940e2fc4d8 · outbound

This paper cites On the cross-lingual transferability of monolingual representations.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit On the cross-lingual transferability of monolingual representations

Reference 2

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source=pdf_text observed=2026-08-07T05:58:14.822539Z digest=sha256:a65c55ca66f0c0a8c2afeebb4b571302c6ba2864999efb37642dd1d9afb588b0

Observation 50bed358-f5b1-4353-81a8-e557d93e5f8b · outbound

This paper cites Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs

Reference 3

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source=pdf_text observed=2026-08-07T05:58:14.827341Z digest=sha256:d3212bb050816962b47a06383fb7e93ceb361db2cb3f9999b20e82f4f5096b3d

Observation 68dff718-b5e4-4bf2-8118-67ccab72fa80 · outbound

This paper cites Language models are few-shot learners.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Language models are few-shot learners

Reference 4

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source=pdf_text observed=2026-08-07T05:58:14.832160Z digest=sha256:5930214dfffaee834cdc6ab5bc9884a713d4c90034122e56b6deb47cee2d8386

Observation e93cd026-41ca-47f7-ac29-7e11ab7c0c50 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

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source=pdf_text observed=2026-08-07T05:58:14.836913Z digest=sha256:5c31a987742384d0bb7c6910cc7bb4924b4e83dd3ef87f068afb555466bdb6a6

Observation 1adc318c-a0b6-41b8-9e73-9f7171bec2d5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Training Verifiers to Solve Math Word Problems

Reference 6

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source=pdf_text observed=2026-08-07T05:58:14.841736Z digest=sha256:c74fed5d8e69c2faacd18838241a6771b593d877bb968aedc586e320d0929c14

Observation 002667a8-3069-4df8-858b-b7b9ce5119b2 · outbound

This paper cites Word Translation Without Parallel Data.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Word Translation Without Parallel Data

Reference 7

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source=pdf_text observed=2026-08-07T05:58:14.846758Z digest=sha256:2ed54a704b4142f9ad50724989f38972ba7fd18b994ec6c88b957634145c9dbd

Observation 8f7b7152-30c4-4cf0-b72d-9fdba98d6791 · outbound

This paper cites XNLI: Evaluating Cross-lingual Sentence Representations.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit XNLI: Evaluating Cross-lingual Sentence Representations

Reference 8

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source=pdf_text observed=2026-08-07T05:58:14.851742Z digest=sha256:739e32e80cec3eb8610d1423181acad4b9261a4deda8e08a2eb40740b1982835

Observation d692f897-be79-4db0-b2f0-5e665678b35b · outbound

This paper cites FOCUS: Effective embedding initialization for mono- lingual specialization of multilingual models.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit FOCUS: Effective embedding initialization for mono- lingual specialization of multilingual models

Reference 9

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source=pdf_text observed=2026-08-07T05:58:14.856183Z digest=sha256:04f2bbf6b8b32b522e8b13d9a24448e7b87a035b675e3dc0b059381f1c88681d

Observation 058c2288-36ac-4d8c-b7e3-4b2add9d4930 · outbound

This paper cites How contextual are contextualized word representations? Comparing the geometry of BERT, ELMo, and GPT-2 embeddings.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit How contextual are contextualized word representations? Comparing the geometry of BERT, ELMo, and GPT-2 embeddings

Reference 10

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source=pdf_text observed=2026-08-07T05:58:14.860161Z digest=sha256:cee92595f9366b57d84fc17869d10037080e93169c8857ec87b2d656b49f0561

Observation 83f94599-70c4-4768-ae1c-fd9dd898640d · outbound

This paper cites A framework for few-shot language model evaluation, 12 2023.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit A framework for few-shot language model evaluation, 12 2023

Reference 11

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source=pdf_text observed=2026-08-07T05:58:14.864207Z digest=sha256:316e63347671cd8fd306f230c5ed2f83332cfa6428a3c3d408de4fe43c0fa5f4

Observation eb999d92-3e15-4585-ba1e-728153a430bb · outbound

This paper cites Fast vocabulary transfer for language model compression.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Fast vocabulary transfer for language model compression

Reference 12

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source=pdf_text observed=2026-08-07T05:58:14.868026Z digest=sha256:b0a7b3bce9cf92d3ae811b9d6e0268fb1a1cf7952a55118de5392184d5f573b7

Observation 85ef42d2-9731-4b2d-b562-0920a58f24cf · outbound

This paper cites Arcee‘s MergeKit: A toolkit for merg- ing large language models.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Arcee‘s MergeKit: A toolkit for merg- ing large language models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:14.872179Z digest=sha256:069d31a074e35191e028fdfcf16aadd5096fcd811166982d65f238cab393f476

Observation 9be117e3-aefd-490f-9b12-2d12162d9d26 · outbound

This paper cites The Llama 3 Herd of Models.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit The Llama 3 Herd of Models

Reference 14

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source=pdf_text observed=2026-08-07T05:58:14.876220Z digest=sha256:27343817a3357168f6cc51340610a266169eaf586ef87a184535bf6011db99a7

Observation 0cacedb0-36f1-44c5-83d8-e8bb3bf565cc · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Measuring Massive Multitask Language Understanding

Reference 15

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source=pdf_text observed=2026-08-07T05:58:14.880047Z digest=sha256:6ef254fb20d8300798e7d3268d8bbe46e294bd7bbcb0a399359cc82268ef54cc

Observation 69ea6c8f-7257-487d-aee5-9839d19ade88 · outbound

This paper cites Initializing new word embeddings for pretrained language models, 2021.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Initializing new word embeddings for pretrained language models, 2021

Reference 16

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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=pdf_text observed=2026-08-07T05:58:14.884285Z digest=sha256:9c573eeb2643e2767b41bf54b9ec29b2360deb17790550999c2e6c5433c61766

Observation b2b38b97-6d5b-467f-9704-8ad54edbe3a0 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Distilling the Knowledge in a Neural Network

Reference 17

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source=pdf_text observed=2026-08-07T05:58:14.890598Z digest=sha256:2a2ba6ccbfbf4e0fb8b8dcfe3b5b98267bdb3771f052a55e38fad36ad302167a

Observation b785e3ba-54eb-4948-92ed-72bfb5a036c4 · outbound

This paper cites Vocab transplantation tool (github repository), 2025.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Vocab transplantation tool (github repository), 2025

Reference 18

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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.

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Observation 96148bfd-984b-4198-a023-be104c764a7c · outbound

This paper cites Language Models Use Trigonometry to Do Addition.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Language Models Use Trigonometry to Do Addition

Reference 19

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source=pdf_text observed=2026-08-07T05:58:14.898944Z digest=sha256:ae290422c9b69b5a4002f1b9fe232316e4f2b1e5ebd67955328ed1a39772e7fa

Observation e52b866a-3340-47cb-a1eb-06b9cf21705a · outbound

This paper cites Cross-lingual alignment methods for multilingual BERT: A comparative study.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Cross-lingual alignment methods for multilingual BERT: A comparative study

Reference 20

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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=pdf_text observed=2026-08-07T05:58:14.903037Z digest=sha256:5f578dc87a772a1c62401e5a9547a7da5d3865159cf47d235791521a3e9a7ed9

Observation bbe0ba58-9f38-4d09-804c-726e2b9f7f3b · outbound

This paper cites Shared Global and Local Geometry of Language Model Embeddings.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Shared Global and Local Geometry of Language Model Embeddings

Reference 21

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:58:14.907095Z digest=sha256:a0a529bd50d1c0970a890dd0c1e7de5a22a5c3ad515d964b3b2803b2256bb831

Observation 6260b57f-4983-4764-96fc-d944206bb7f9 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Fast inference from transformers via speculative decoding

Reference 22

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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=pdf_text observed=2026-08-07T05:58:14.911404Z digest=sha256:cf78de7a498b8c7c5381ee4b2ea0df97b736ba246553e3348fb26987f521aaea

Observation 11436aa8-83ae-40c2-b9d5-6952b54001ff · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit DataComp-LM: In search of the next generation of training sets for language models

Reference 23

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source=pdf_text observed=2026-08-07T05:58:14.915529Z digest=sha256:170dc94d188922b51809655baf8721e882db085a581eba636fbfa46ade99ef7a

Observation 9a3283ac-d4c3-4173-a85f-74defbd3e452 · outbound

This paper cites an unresolved cited work.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Unresolved cited work

Reference 24

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

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Observation 53fa2ef2-a747-4dc7-8151-ce117eb72c78 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Efficient Estimation of Word Representations in Vector Space

Reference 25

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source=pdf_text observed=2026-08-07T05:58:14.924229Z digest=sha256:8d752e1e9caec7d0367fc0dafab5d8355a01df22b588b4f034c3403f7e813f1d

Observation eaeed1c2-c554-4b1b-9e84-03f3fc41b516 · outbound

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

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

Reference 26

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raw_fallback, observed 2026-08-07T05:58:15.657431Z

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=pdf_text observed=2026-08-07T05:58:14.928584Z digest=sha256:ae5bc1827bc76572316c30fdf00563b25536cf664f8e615b0ae60ba8bd9a54e1

Observation 3b6c7dec-344c-44f5-b291-015cdaace40d · outbound

This paper cites Zero-shot tokenizer transfer, 2024.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Zero-shot tokenizer transfer, 2024

Reference 27

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Source-reported events for the cited work

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Observation 1529d395-7d0f-43e9-bd9d-e4eeec4dfc35 · outbound

This paper cites Efficient language model training through cross-lingual and progressive transfer learning, 2023.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Efficient language model training through cross-lingual and progressive transfer learning, 2023

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T05:58:15.625219Z

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=pdf_text observed=2026-08-07T05:58:14.942054Z digest=sha256:107227967a2e8e71a46c30e3152c415ff58fce8992ea4477e6c0a6ce5b243c46

Observation 61cd0f0b-9d1a-43b2-809c-d7615ae6066d · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:14.946324Z digest=sha256:8e23c0e94990b08ab81bdadcfc5a595ad681b6ca4f40f463f4db22e1a0a6be4c

Observation 57eae1a3-9eb2-447d-af4c-fa6fa9fb8f69 · outbound

This paper cites Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T05:58:15.610757Z

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=pdf_text observed=2026-08-07T05:58:14.950608Z digest=sha256:c7cec34d30eee580bdbe38aa2b67a7e53cd3ed66b57c70066ea502c1a15a0912

Observation 0eb52d75-ae71-4767-8486-2168da6bdc65 · outbound

This paper cites How good is your tokenizer? on the monolingual performance of multilingual language models.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit How good is your tokenizer? on the monolingual performance of multilingual language models

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:14.954395Z digest=sha256:f024765f96595f379764d46b2d7287be1707bd28f3c8db2c8b7f143725bbf65b

Observation d71f6a70-baa0-4f9d-8445-9fb3ad3c5e84 · outbound

This paper cites Orthogonal Matching Pursuit for Text Classification.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Orthogonal Matching Pursuit for Text Classification

Reference 32

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verified exact
local_arxiv, observed 2026-08-07T05:58:15.128555Z

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=pdf_text observed=2026-08-07T05:58:14.958446Z digest=sha256:4bcbdf310dc65b8082e2b18ee7cfa5de35a92b0d1b7bd66861a095f7805bbea7

Observation 06604c09-5ca9-4f70-8e1f-590a9c0ddda8 · outbound

This paper cites Signal recovery from random measurements via orthogonal matching pursuit.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Signal recovery from random measurements via orthogonal matching pursuit

Reference 33

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raw_fallback, observed 2026-08-07T05:58:15.596607Z

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=pdf_text observed=2026-08-07T05:58:14.962653Z digest=sha256:4857fef374424bc6edf8ddafac5d968440a4761d6d8db9ea31991a512922bd05

Observation f2a9598e-a5eb-4c34-ae0d-30251d72e3e0 · outbound

This paper cites Qwen2.5 Technical Report.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Qwen2.5 Technical Report

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:14.966911Z digest=sha256:e1c65bec87d98ce648633b03b6e12a4fb56cbfa3fdac5ee85efc066a6a9a8497

Observation f3764f64-deaa-4e5a-a5bb-1a0ab93fe44e · outbound

This paper cites PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Reference 35

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source=pdf_text observed=2026-08-07T05:58:14.970827Z digest=sha256:d499f968892f97f47f207ae4a1a796290fe89ed93fddc0b54d5d75f22dc7d8b7

Observation 810672fb-cb8b-4582-bb14-11b6cb802f4b · outbound

This paper cites URL https://aclanthology.org/2022.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit URL https://aclanthology.org/2022

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-07T05:58:15.639441Z

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=pdf_text observed=2026-08-07T05:58:14.932518Z digest=sha256:d0a9ed8e1776ad78a234f83c638e523d4e4a3db013b3a7115d4078d608c4d88e

Pith citing papers

Observation 58516bb2-ef18-4698-9005-a2189dbd1a73 · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:06.361703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:58:06.361703Z digest=sha256:a212833f722a20717e248c363f1ad691fa8b07efd5abd5adab8d37ee6638f242

Observation 61c90512-3b4d-44ec-83aa-a3edb2437f03 · inbound

Learning Through Noise: Why Subliminal Learning Works and When It Fails cites this paper.

Learning Through Noise: Why Subliminal Learning Works and When It Fails Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:15:22.248856Z

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=pdf_text observed=2026-05-25T05:14:46.278482Z digest=sha256:c98a2d47a45955d8fc4a5be4d165d91b01c3cfbd28d9adb97c067c753d6a3262

Observation 0900b006-84b7-4846-a024-4497586a2d37 · inbound

In-Place Tokenizer Expansion for Pre-trained LLMs cites this paper.

In-Place Tokenizer Expansion for Pre-trained LLMs Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T23:50:15.197912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:50:15.197912Z digest=sha256:9dd09d5e98116ecfe7affb838039bebdbf501af4465402d051730f6549acbacc