Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.16380.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:10:20.436184Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:57:29.153493Z
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 b4420fca-2dd4-4ae8-b2e1-92438f2c6c8f · inbound
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache cites this paper.
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:53:12.282973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec4bcdc5-53d4-47c7-a369-99fd34080d22 · inbound
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:10:20.436184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0927c9b-85c5-45eb-999f-ab433c151909 · inbound
Tight Sample Complexity of Transformers cites this paper.
Tight Sample Complexity of Transformers Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:29.154810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.