Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.09268.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:31:49.256416Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T11:18:03.211693Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 4795f215-a575-4255-99cb-a7da638fba73 · inbound
Scaling Latent Reasoning via Looped Language Models Transformers, parallel computation, and logarithmic depth
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b287e471-de71-4da2-8c35-00b51f7fa60c · inbound
Scaling Latent Reasoning via Looped Language Models Transformers, parallel computation, and logarithmic depth
Reference 79
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 008b7f8f-7945-4c3e-ad8a-2123a4bb20e1 · inbound
Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory Transformers, parallel computation, and logarithmic depth
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ea6c3b7-73dc-4237-862e-3ae78d4a7e37 · inbound
How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers Transformers, parallel computation, and logarithmic depth
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fe944a4-c69a-4f0d-91b1-702e31184b13 · inbound
There Will Be a Scientific Theory of Deep Learning Transformers, parallel computation, and logarithmic depth
Reference 245
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1af48db-cec8-4cc4-81c1-a229ba5be22f · inbound
Transformer Approximations from ReLUs Transformers, parallel computation, and logarithmic depth
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f1e7a1e4-cf99-4443-8a46-9ee9405a8274 · inbound
Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Transformers, parallel computation, and logarithmic depth
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b2a5a20-3c25-48d6-a28c-d383d34b606c · inbound
Higher-Order Token Interactions via Quantum Attention Transformers, parallel computation, and logarithmic depth
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.