Paper Citation Record · LEDGER

Generalisation in humans and deep neural networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1808.08750.

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

pith.paper-citation-record.v1
1808.08750 v3

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 2026-08-11T15:52:26.370323Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:26:24.526840Z

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 e110e125-20c8-43be-9ecc-9a46756518b0 · inbound

Err on the Side of Texture: Texture Bias on Real Data cites this paper.

Err on the Side of Texture: Texture Bias on Real Data Generalisation in humans and deep neural networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:52:26.370323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d833f265-217b-45ff-9498-46e859c2e12a · inbound

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability cites this paper.

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability Generalisation in humans and deep neural networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:26:19.335349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2502ed-9fd5-46b4-839f-f4c009b02d95 · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Generalisation in humans and deep neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.315060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3bf9f8-e039-4728-89bc-07c8f1944cdc · inbound

The Neuromorphic Supremacy cites this paper.

The Neuromorphic Supremacy Generalisation in humans and deep neural networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:26:24.528344Z

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.