Paper Citation Record · LEDGER

MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.20771.

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

pith.paper-citation-record.v1
2410.20771 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:34.114874Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:39:34.638237Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ad746d5b-2b45-4b54-82da-e7c4ccfb0193 · inbound

Synergy: End-to-end Concept Model cites this paper.

Synergy: End-to-end Concept Model MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.114874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9411b321-d2b4-4d65-9136-3b363ca98be3 · inbound

Accelerating Vision Transformers with Adaptive Patch Sizes cites this paper.

Accelerating Vision Transformers with Adaptive Patch Sizes MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.447668Z

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.

Observation b180b5a6-dc70-4904-b5e7-e5b1062322d6 · inbound

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models cites this paper.

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:28.928013Z

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.

Observation 56843ffe-c741-42ce-87a2-a0da519ea809 · inbound

Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet cites this paper.

Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:39:34.639605Z

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.