Paper Citation Record · LEDGER

Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.15720.

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

pith.paper-citation-record.v1
2407.15720 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:23.877330Z

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

1
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 12ae6f7c-46ad-47ad-ba03-f62dfd1dbf5a · inbound

Extrapolation by Association: Length Generalization Transfer in Transformers cites this paper.

Extrapolation by Association: Length Generalization Transfer in Transformers Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:23.877330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a4e2ed-7217-468d-bdcd-ec3c22309f3d · inbound

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:20:34.331734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f8712bc-90de-4aa8-b67d-33d331317be2 · inbound

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:52.422398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e419be3c-e4c9-4b40-9704-d911b5f7a2cb · inbound

Multi-Hop Knowledge Composition is Bound by Pretraining Exposure cites this paper.

Multi-Hop Knowledge Composition is Bound by Pretraining Exposure Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-27T16:41:03.379605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.