Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.16975.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:29:55.049059Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T07:42:30.633440Z
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 c971b7e6-42ec-4fae-8b82-0f526e8adf8b · inbound
XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding cites this paper.
XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:29:55.049059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dd5a2a9-6fac-496a-b3a1-432231d05997 · inbound
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning cites this paper.
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:17:41.981651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcfe8b78-b52c-43cd-b5af-3cf5226ac290 · inbound
Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling cites this paper.
Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:29:06.669323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dbbc0dcb-89da-4d53-8d71-c7486eed30d2 · inbound
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:31:23.363346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation edf2311f-29fb-4c6b-804a-c8ccbd580b7d · inbound
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:42:30.636505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.