Paper Citation Record · LEDGER

Can Language Models Solve Graph Problems in Natural Language?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.10037.

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

pith.paper-citation-record.v1
2305.10037 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:47:29.460351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:08:56.294066Z

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 c1680942-f8dd-4a56-a50e-8efe234397cc · inbound

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data cites this paper.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Can Language Models Solve Graph Problems in Natural Language?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.460351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a254c9d-3906-4ef3-80da-dc37062b8b71 · inbound

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning cites this paper.

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning Can Language Models Solve Graph Problems in Natural Language?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:08.372963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 952523b8-944a-4b51-b1f1-819c0721e9f3 · inbound

Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.

Handling Feature Heterogeneity with Learnable Graph Patches Can Language Models Solve Graph Problems in Natural Language?

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.296970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50cf1f12-6ab5-4ca5-871f-3d0a776a8ec7 · inbound

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation cites this paper.

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation Can Language Models Solve Graph Problems in Natural Language?

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:47:17.237969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.