Paper Citation Record · LEDGER

Getting the most out of your tokenizer for pre-training and domain adaptation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.01035.

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

pith.paper-citation-record.v1
2402.01035 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:26:11.199546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T15:39:41.383851Z

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 b338cc3f-5a38-454e-beb1-d3d45a5a4b33 · inbound

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies cites this paper.

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T17:26:11.199546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 981c0435-ff60-4df0-a1bb-8ea9eeb07225 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:39:41.387245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a50b5484-1c96-43ec-8679-01c4fddc9f5f · inbound

Evaluating LLMs' Multilingual Capabilities for Bengali: Benchmark Creation and Performance Analysis cites this paper.

Evaluating LLMs' Multilingual Capabilities for Bengali: Benchmark Creation and Performance Analysis Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:58:53.975249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6beb5080-9cb1-4d54-bb42-bf9adac40d1f · inbound

BMdataset: A Musicologically Curated LilyPond Dataset cites this paper.

BMdataset: A Musicologically Curated LilyPond Dataset Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:59.391244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fa4007d-2fa5-402c-a808-8700e9a1430f · 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 Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:28.790238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d04aa6d4-4a75-48c0-8333-d70e8c144124 · inbound

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

In-Place Tokenizer Expansion for Pre-trained LLMs Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T23:50:14.734727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.