Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.09303.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:34:02.569149Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:15:32.135899Z
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 ca052b0c-be44-41be-951a-6fc25ece7d45 · inbound
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling cites this paper.
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:34:02.569149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bcf1db1-d440-4792-b83e-bf3556a55aa2 · inbound
Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.
Rethinking LLM Ensembling from the Perspective of Mixture Models Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:26:06.447383Z
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 5c66d358-21f1-4294-956f-75ae50c715a8 · inbound
Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.
Rethinking LLM Ensembling from the Perspective of Mixture Models Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:15:32.139086Z
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.