Paper Citation Record · LEDGER

Compositionality decomposed: how do neural networks generalise?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1908.08351.

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

pith.paper-citation-record.v1
1908.08351 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:20.039545Z

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

16
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 2e34ce35-aec4-47eb-971a-77dcc699b65f · inbound

Scaling Laws for Autoregressive Generative Modeling cites this paper.

Scaling Laws for Autoregressive Generative Modeling Compositionality decomposed: how do neural networks generalise?

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:49:43.791768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8625ebd1-f5bc-4f9c-89c3-e3931e8f22c8 · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Compositionality decomposed: how do neural networks generalise?

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:58:13.748846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f24867c-1319-4c0b-81e4-1f0d5250dc87 · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Compositionality decomposed: how do neural networks generalise?

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:22:59.430828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eccf46ae-63c6-42d4-baf2-7cb9a927b7e7 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Compositionality decomposed: how do neural networks generalise?

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:42:47.857626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4cb4ddf4-8e1d-4f87-b71d-d26ae45d547f · inbound

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey cites this paper.

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey Compositionality decomposed: how do neural networks generalise?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:20.039545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d4bbd3-ac72-4c31-a93a-b74df2182d54 · inbound

Towards a Comparative Framework for Compositional AI Models cites this paper.

Towards a Comparative Framework for Compositional AI Models Compositionality decomposed: how do neural networks generalise?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:43.728217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940b2c36-7cf7-4c8b-a3c3-a42b151f81e7 · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Compositionality decomposed: how do neural networks generalise?

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:06:17.706729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 753fe393-f9ad-4d82-b944-d0726376ad8c · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Compositionality decomposed: how do neural networks generalise?

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:46:18.395597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2c9db9b7-c39c-45f5-8857-cea6319457b5 · inbound

Arithmetic Pedagogy for Language Models cites this paper.

Arithmetic Pedagogy for Language Models Compositionality decomposed: how do neural networks generalise?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.561663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.