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Paper Citation Record · LEDGER

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16128.

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

pith.paper-citation-record.v1
2405.16128 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:48.966097Z

measured 1 of 1 external citation measurements

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

0
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 5ae9a529-a74f-4c47-a5fe-093b5cf0aca6 · inbound

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts cites this paper.

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:48.966097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:21:48.966097Z digest=sha256:3d959f422832298f7ed42a222e6716059a7234253f86dbe8b88b1a59584f118d

Observation 165a3429-b84c-4afd-a95a-350ea1a88d20 · inbound

Do LLM Embedding Spaces Recover Expert Structure? cites this paper.

Do LLM Embedding Spaces Recover Expert Structure? How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:09:10.745460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-26T08:03:33.579097Z digest=sha256:1e6d0f84386d68d5b9754b4ee8be168ed3acda416b7a2c3e59e810742bd3e58c