Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.12057.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:42:57.335872Z
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 fee8eb22-e7b5-4a5a-a5c1-27678ce4c655 · inbound
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal cites this paper.
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:32:00.308547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 635e4af3-f070-4422-a18d-56b7b252f7d8 · inbound
Measuring Form and Function in Language Models cites this paper.
Measuring Form and Function in Language Models Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:53:26.201339Z
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.
Observation c04fee6b-eb3d-492a-8552-fb573dc0c5a7 · inbound
Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets cites this paper.
Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:42:57.335872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.