Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training Neural Networks as Recognizers of Formal Languages
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.07107.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:49:44.632570Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T19:53:11.739720Z
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 affc3057-fcb9-4976-9c11-94f8034609fc · inbound
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Training Neural Networks as Recognizers of Formal Languages
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:49:44.632570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a30c4d5a-8266-4f55-b462-0a6360d36fc7 · inbound
Randomly Sampled Language Reasoning Problems Elucidate Limitations of In-Context Learning cites this paper.
Randomly Sampled Language Reasoning Problems Elucidate Limitations of In-Context Learning Training Neural Networks as Recognizers of Formal Languages
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:10:33.871513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef13fbdf-c5b4-498f-8ce0-70241460c705 · inbound
Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy cites this paper.
Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy Training Neural Networks as Recognizers of Formal Languages
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:53:11.740946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.