Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.12239.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:42:47.454515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7efbe8cc-f8eb-41ee-b7f5-1d48e90baf9f · inbound
Searching for Structure: Investigating Emergent Communication with Large Language Models cites this paper.
Searching for Structure: Investigating Emergent Communication with Large Language Models What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:47.454515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0fc3d2e-0620-4786-bd40-ba0d1fb0cc01 · inbound
Model Collapse as Cultural Evolution cites this paper.
Model Collapse as Cultural Evolution What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:35:23.500662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.