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Paper Citation Record · LEDGER

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.16679.

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

pith.paper-citation-record.v1
2411.16679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:42:29.274642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:13.003266Z

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 317a9de4-fe3b-4838-80bb-0fb85b5bd291 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:29.274642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:29.274642Z digest=sha256:bac675ad285a4d04a7a17ae9283252b1e3b1c2a7d1602e67bf9b5c810111aa6d

Observation e764747e-e05f-4d4d-bdc0-c5f9c4949d95 · inbound

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:13.004830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:10:01.701850Z digest=sha256:e96d31bcc63c3c20a2c6d0f8b833cdd8b6b416bfb4da2ad026cfb04563c10e93

Observation 68de88ed-4095-4dc8-b790-44f3bbe4e6f5 · inbound

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-29T05:53:08.740593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:50:40.480874Z digest=sha256:d58fe7c284cb623a0f907419f17a40e0892a92c9194c5b1234d1692d720e552f