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Paper Citation Record · LEDGER

Making Long-Context Language Models Better Multi-Hop Reasoners

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03246.

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

pith.paper-citation-record.v1
2408.03246 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 2026-08-07T15:31:43.438051Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:31:45.878386Z

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 48ac52bb-5647-451b-98ea-0052fb0bfbf5 · inbound

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts cites this paper.

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts Making Long-Context Language Models Better Multi-Hop Reasoners

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:31:46.057841Z

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=arxiv_source observed=2026-08-07T15:31:43.438051Z digest=sha256:f9e3060c56865bdede4f49567bd7ec62a839cb18d0ff463f004b80d41756f840

Observation ad4666fc-3b11-4d3a-9e02-7d8192d1a559 · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Making Long-Context Language Models Better Multi-Hop Reasoners

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T20:32:56.603444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:32:56.603444Z digest=sha256:bdcab2781b0e4da19c8a3f5f414946f905b8f388f9f189959ae8f697ec003e73