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Paper Citation Record · LEDGER

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.06644.

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

pith.paper-citation-record.v1
2104.06644 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:46.529677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:39:38.316104Z

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 fb8c5901-6a8c-4260-973d-647f5256ed96 · inbound

Transfer of Structural Knowledge from Synthetic Languages cites this paper.

Transfer of Structural Knowledge from Synthetic Languages Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:46.529677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:15:46.529677Z digest=sha256:7fcc27ef512532e0e5a0be075a49802cb236bcac4f264c0ceae5ccb608e42ee7

Observation 736fd76c-6555-4191-8cc9-ccfcc88d454e · inbound

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model cites this paper.

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:39:38.318872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T01:39:21.733359Z digest=sha256:37a2ec3f9041b8dc46d84e77e502a00aab5ad24c17fae987b8b3113da43da891