Paper Citation Record · LEDGER

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2412.14528.

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

pith.paper-citation-record.v1
2412.14528 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:15:18.882438Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:34.611294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.065061Z

Reference resolution

55 of 55 outbound references displayed

verified exact2
verified fuzzy9
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04ccc695-312e-474e-9e37-298ac10b532c · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.295550Z

Source-reported events for the cited work

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Observation 0068c8f1-efa9-4a72-b648-05deb45a715b · outbound

This paper cites write newline.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.311764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d39ebf-2dfc-4497-908a-c94c93f9a2a3 · outbound

This paper cites R.; Geist, M.; and Bachem, O.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models R.; Geist, M.; and Bachem, O

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.558482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97ea795f-75df-45d6-bae8-bcd99091d7f7 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.532683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2587f598-fb47-41e4-85c7-64977e00316a · outbound

This paper cites Qwen Technical Report.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Qwen Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.342682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f7d5b9d-bb50-4ae6-8522-3c0826902b5c · outbound

This paper cites KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:15:19.503018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52bfb847-fa33-4299-97db-1ea7a9db5cbb · outbound

This paper cites G.; Bradley, H.; O’Brien, K.; Hallahan, E.; Khan, M.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models G.; Bradley, H.; O’Brien, K.; Hallahan, E.; Khan, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.503736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5566a76d-d839-4b2b-b587-0ab85f282843 · outbound

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

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs

Reference 8

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Source-reported events for the cited work

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Observation eaf90e5f-0e61-4363-8f57-75f50ad7888b · outbound

This paper cites D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.473755Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b84ab0b6-0c70-4d92-ba73-727b7c89523e · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.446387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70a3bd14-b500-4211-9c0a-895cf87265c7 · outbound

This paper cites DialogSum: A Real-Life Scenario Dialogue Summarization Dataset.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.394005Z

Source-reported events for the cited work

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Observation ff3ed1a6-00fa-41ca-8263-d5821cc6c1e4 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 12

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Observation 3680b795-f89f-4aef-9daa-4d675ba72e21 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.388597Z

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Observation d7714fd1-e183-4756-960c-b538a734c22b · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.350269Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07c21cb6-7e4c-459f-b7fe-c8394264ca76 · outbound

This paper cites R.; Pang, Y.; and Chen, H.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models R.; Pang, Y.; and Chen, H

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.319787Z

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Observation 28168265-d7f8-46a5-9a50-c13e91cd244b · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.298231Z

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Observation 128f002c-275e-4600-8308-eb2d2dd0339e · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.276653Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d407abe0-01c3-4a52-9870-227943e871fd · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.246467Z

Source-reported events for the cited work

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Observation 729dc30f-644a-4087-8c4a-7098a838f228 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models MiniLLM: On-Policy Distillation of Large Language Models

Reference 19

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Observation d6892209-0af8-452f-a47b-00c8e9164f5f · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.211407Z

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Observation 8ff22af5-7b7e-4ffd-b38e-30f191f15b1a · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.188577Z

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Observation 118d794c-f23f-48df-bcd0-73c62482f5d0 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Distilling the Knowledge in a Neural Network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.541778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6aad134-a144-4ba7-9e09-76a91671f9b7 · outbound

This paper cites Mistral 7B.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Mistral 7B

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.550293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3a681f-d786-45f3-b255-bc6e73e66d3e · outbound

This paper cites Sequence-Level Knowledge Distillation.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Sequence-Level Knowledge Distillation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.559074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381fdb64-d263-45d2-a983-52bb9588d22d · outbound

This paper cites DistiLLM: Towards Streamlined Distillation for Large Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models DistiLLM: Towards Streamlined Distillation for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.565667Z

Source-reported events for the cited work

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Observation 1de64825-1139-41e8-990c-fb76d8724286 · outbound

This paper cites B.; and Collins, M.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models B.; and Collins, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.153578Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 629266d3-4fc8-43da-83ae-0c9f91fb2bc4 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.126692Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cab38dcb-3136-4721-b5ac-f5e68108580d · outbound

This paper cites J.; and Piccardi, M.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models J.; and Piccardi, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:20.102412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 350ae487-213e-4eae-98eb-153a2e2b6b98 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.060441Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3293e023-829c-453c-9a5b-d315c3d826a1 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:20.021740Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41d9d3c4-fba4-402c-af90-8003942a3c9b · outbound

This paper cites Selective Cross-Task Distillation.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Selective Cross-Task Distillation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:15:19.283696Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 437d5050-7822-4d9b-9032-4fefac511783 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.983337Z

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Observation 87aed3fe-9fd8-473b-a13c-5d3828e81452 · outbound

This paper cites S.; Shen, S.; Yong, Z.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models S.; Shen, S.; Yong, Z

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:19.936570Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a258fdb-eb11-4b93-b464-17d95a1afe88 · outbound

This paper cites T.; and Luu, A.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models T.; and Luu, A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:19.899054Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f507bbb-23a2-4d46-a35e-35fae3f9103a · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.864383Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eab64667-7d82-4a3e-9be1-fa0c897f28eb · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.836193Z

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Observation bfc705ea-11a3-45ec-af9d-a9691a80f167 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.697356Z

Source-reported events for the cited work

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Observation 191b395f-aa90-4ead-97af-d72b707fea9c · outbound

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

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.705471Z

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Observation 38e18fdc-0bd7-43bb-aba9-f9c55148c6a0 · outbound

This paper cites ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33cacb9e-6e53-4ad9-bf7c-096235f3647a · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.804735Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d2bb6e4-e4b4-4b24-acb4-977e5dac81c8 · outbound

This paper cites Knowledge Fusion of Large Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Knowledge Fusion of Large Language Models

Reference 41

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Unavailable: canonical work link unavailable.

Observation 6446808c-e008-49f8-9124-70b629098183 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.778422Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24e077ae-f6e3-43fb-9190-4a3ce21c5da1 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.746679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 488f565d-2988-4b11-87f3-8dd30e24ea96 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.718718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bad64bc-4bfb-468e-9693-1f4dacf15406 · outbound

This paper cites Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.775519Z

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Observation 8f20a73e-b03c-4473-a59e-8db7cc5defff · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.690785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed9bdabc-68c8-4b77-bb52-d022a441a88d · outbound

This paper cites Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.794521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba09a20-e202-47d0-a1e1-cc47abdbbc36 · outbound

This paper cites Qwen2 Technical Report.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Qwen2 Technical Report

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.808487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3123002-0806-4aa1-bd15-90d3dd4578c0 · outbound

This paper cites M.; Li, Z.; Mallya, A.; Hoiem, D.; Jha, N.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models M.; Li, Z.; Mallya, A.; Hoiem, D.; Jha, N

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:15:19.666830Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5deef24b-9508-4410-a658-f37f9168e566 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.644654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44f7212e-e8f2-4b3b-84aa-27124f19b331 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.623535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b406024-37f4-4235-8736-9b0732a84220 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.595749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73458e47-922e-4aae-9b98-85cac2421a97 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models OPT: Open Pre-trained Transformer Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.862570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dbdda11-5339-42a4-b8d8-b20e1c0d0f4f · outbound

This paper cites Dual-Space Knowledge Distillation for Large Language Models.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Dual-Space Knowledge Distillation for Large Language Models

Reference 54

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Observation d0f2b1b2-299d-47e8-a1dc-e8244411b051 · outbound

This paper cites an unresolved cited work.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:15:19.574628Z

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Pith citing papers

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InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion cites this paper.

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models

Reference 9

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Observation 38b05db8-0afb-4487-9866-6afa35b5eaee · inbound

A Formula-Driven Survey and Research Agenda for On-Policy Distillation cites this paper.

A Formula-Driven Survey and Research Agenda for On-Policy Distillation Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.066476Z

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