Paper Citation Record · LEDGER

Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.12997.

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

pith.paper-citation-record.v1
2311.12997 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:28:51.641065Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.009793Z

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 857d318c-56eb-4190-b762-acc542225018 · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T05:28:51.641065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5569d08c-f9ac-48ce-88af-7ae4d248fd97 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:22.808829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c02d9d0-474e-44a2-8b3a-b3d1181f7ec6 · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 289

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.215117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eee381e8-6e48-4de2-8990-5a2b02de889e · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 286

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:21:28.300543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ebf0876-a8a5-4663-813a-c9d0a2168dd7 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:06:05.445599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00330db2-d057-4c2d-9bf8-cadc11874971 · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:23:39.012244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.