Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Can Neural Networks Reason About?
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.13211.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:28:18.581330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T02:39:30.031619Z
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 a7ab293e-260c-4d8b-b740-afd8e7b4ffe7 · inbound
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges What Can Neural Networks Reason About?
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:39:30.034728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 881deeda-0e9d-4dac-8ae8-9b64bc493394 · inbound
Equivariant Action Sampling for Reinforcement Learning and Planning cites this paper.
Equivariant Action Sampling for Reinforcement Learning and Planning What Can Neural Networks Reason About?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:28:18.581330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e536755-9a40-4a33-93ff-19d5b89a3da3 · inbound
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation cites this paper.
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation What Can Neural Networks Reason About?
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:37:40.806200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6501c605-6238-42e5-933f-e393935a1407 · inbound
When More is Less: Understanding Chain-of-Thought Length in LLMs cites this paper.
When More is Less: Understanding Chain-of-Thought Length in LLMs What Can Neural Networks Reason About?
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:23:22.149796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2e5e071-65b0-4489-a9b0-9a3feb2804ff · inbound
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning cites this paper.
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning What Can Neural Networks Reason About?
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:06.300801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780e10e8-565b-4654-b999-e6a8fe6f3084 · inbound
Distance-Preserving Embeddings in Inhomogeneous Random Graphs cites this paper.
Distance-Preserving Embeddings in Inhomogeneous Random Graphs What Can Neural Networks Reason About?
Reference 187
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T00:37:04.989965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.