Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.19223.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:55:33.723119Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ab818560-e29d-4620-ab8d-64d878cb1a9d · 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 T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:55:33.723119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a168cc1-d65a-4b9d-aa61-d38ce01d6f32 · inbound
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models cites this paper.
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:16:20.592713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 167698e1-f1d5-43b3-919a-c46c3cced097 · inbound
SpeLLM: Character-Level Multi-Head Decoding cites this paper.
SpeLLM: Character-Level Multi-Head Decoding T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:19:17.131959Z
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.