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Paper Citation Record · LEDGER

A Hierarchical Language Model For Interpretable Graph Reasoning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.22372.

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

pith.paper-citation-record.v1
2410.22372 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:27:30.923556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:12.288023Z

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 1a67e19a-8ed7-4fe2-b2e2-5647927ffbfa · inbound

Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks cites this paper.

Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks A Hierarchical Language Model For Interpretable Graph Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:06:35.196458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T09:27:30.923556Z digest=sha256:ddb7340694050248a3fd01722e9d3732b9896390e33abdf7b39e3d214989e9f2

Observation d06a69c9-a387-404f-a1cc-5afd2017a700 · inbound

Are Large Language Models Suitable for Graph Computation? Progress and Prospects cites this paper.

Are Large Language Models Suitable for Graph Computation? Progress and Prospects A Hierarchical Language Model For Interpretable Graph Reasoning

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:12.289660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T22:15:03.223540Z digest=sha256:f3c30ad3785641975da111ae6d71512f187e78caf90ad1309ac004fa217c2d9a