Paper Citation Record · LEDGER

Fast WordPiece Tokenization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2012.15524.

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

pith.paper-citation-record.v1
2012.15524 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:55:33.946468Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:37:12.992214Z

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 75c103f8-5879-424c-9b56-c1a035bfb305 · inbound

Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation cites this paper.

Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation Fast WordPiece Tokenization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T19:55:33.946468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93670e64-474c-4aa9-abfc-dccfb31b51fb · inbound

Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languages cites this paper.

Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languages Fast WordPiece Tokenization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:54:44.482728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31dbbec2-e0c7-409c-964f-eb7c2e654e8b · inbound

POINTS1.5: Building a Vision-Language Model towards Real World Applications cites this paper.

POINTS1.5: Building a Vision-Language Model towards Real World Applications Fast WordPiece Tokenization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T17:53:36.267935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11dfacc-4b7d-4413-8195-20096574832f · inbound

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery cites this paper.

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery Fast WordPiece Tokenization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T18:24:42.221821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c621811c-3d88-4786-866b-2f063db37e0a · inbound

Multimodal Medical Code Tokenizer cites this paper.

Multimodal Medical Code Tokenizer Fast WordPiece Tokenization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T00:42:57.143716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b62402-c801-424e-a09b-fefe4788404e · inbound

Comparative analysis of subword tokenization approaches for Indian languages cites this paper.

Comparative analysis of subword tokenization approaches for Indian languages Fast WordPiece Tokenization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:43.166127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2754aa16-85e2-46d1-86d2-88bbb3282973 · inbound

1 bit is all we need: binary normalized neural networks cites this paper.

1 bit is all we need: binary normalized neural networks Fast WordPiece Tokenization

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:37:12.997768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.