Paper Citation Record · LEDGER

What Artificial Neural Networks Can Tell Us About Human Language Acquisition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2208.07998.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2208.07998 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:01:28.262993Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T05:36:39.976439Z

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 f5bcc71b-f932-474c-8b53-7d1c2d987be0 · inbound

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways cites this paper.

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:36:01.859951Z

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 7c245c86-c961-4ca8-818a-e620f12cc293 · inbound

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories cites this paper.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:28.262993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f78d17d-10e5-41ae-8d03-2e84eddde176 · inbound

A Distributional Perspective on Word Learning in Neural Language Models cites this paper.

A Distributional Perspective on Word Learning in Neural Language Models What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T17:35:09.484946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185baf72-0315-4d85-b60a-f01fec3cd169 · inbound

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs cites this paper.

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.978756Z

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.