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Paper Citation Record · LEDGER

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.10654.

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

pith.paper-citation-record.v1
2412.10654 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:43:03.737130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:43:04.524595Z

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 b90b1f78-6182-4a96-bab0-6ba8771b8603 · inbound

Aligning Knowledge Graphs and Language Models for Factual Accuracy cites this paper.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:43:04.618127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:43:03.737130Z digest=sha256:e07939e05a97f3e830b48203b008db4a6649f79abed20050a199eb46e92aff3f

Observation 5af52615-0920-42f8-a121-a7dc5195f0e2 · inbound

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams cites this paper.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T21:02:28.282609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:28.282609Z digest=sha256:94b30f5545c1a621446ce760a9a2a1c304a0b2a316a92e7e1a38c04faed1d3fc