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Paper Citation Record · LEDGER

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.07103.

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

pith.paper-citation-record.v1
2410.07103 v2

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:54:03.054871Z

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

0
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 91f0bc59-d7a1-4d0d-802b-0b2a461b0629 · inbound

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications cites this paper.

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:10:23.010566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T22:06:30.391838Z digest=sha256:1998baeeeed08fc82d505c900b6475a93acecc0358f3b08e56b5c8facc89d217

Observation 73b6dbd7-9510-43c3-b23a-b2fb808ea6c1 · inbound

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context

Reference 240

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:55:06.232002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T22:54:03.054871Z digest=sha256:e1354eab4c5373a1e98158e90ac2d5c0aa9c07b67c4010038faaa6293eaede0f