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Paper Citation Record · LEDGER

Compositional Questions Do Not Necessitate Multi-hop Reasoning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.02900.

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

pith.paper-citation-record.v1
1906.02900 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:53:38.862142Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:53:39.168506Z

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 0d334dda-27bc-4662-b300-235f7b8b99df · inbound

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Compositional Questions Do Not Necessitate Multi-hop Reasoning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:53:39.172708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T12:53:38.862142Z digest=sha256:6f0dd51075f51ed4db3c7fdb7b44d1ce096c533577984b97fe2cc1d06c32e201

Observation 04dab354-5a84-46f5-a7f2-d18142094b1a · inbound

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems cites this paper.

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Compositional Questions Do Not Necessitate Multi-hop Reasoning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T15:45:17.912070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:45:17.912070Z digest=sha256:24c64c92e36696972dbab705cecdf19fe7df856943adc4b7fa744d75d3b7cd30