Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.18512.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:22.425093Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 11a81b94-a9f9-48ce-b1fe-5b0ca5479d32 · inbound
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2669e4e7-1f0e-4ab0-8527-94308893de45 · inbound
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8097cbb-e197-4a3b-b5ea-cb4eb9dceede · inbound
Learning Compositional Functions with Transformers from Easy-to-Hard Data Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b6ac47f-512a-4b02-841d-ee48babac68c · inbound
Are Large Language Models Good Temporal Graph Learners? Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a300933b-2284-4661-ac6d-eda5f5ba9374 · inbound
Deep sequence models tend to memorize geometrically; it is unclear why Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 154
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d260e0e3-32b2-4357-83f6-63c8eb036388 · inbound
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4a2bfd8d-50cd-4132-ab88-89aa984edea7 · inbound
Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Understanding Transformer Reasoning Capabilities via Graph Algorithms
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.