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Paper Citation Record · LEDGER

Should You Mask 15% in Masked Language Modeling?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.08005.

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

pith.paper-citation-record.v1
2202.08005 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:32.202543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T17:46:47.111931Z

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 1bb9d16c-4592-4c3d-86e3-e4941a1cf3cf · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Should You Mask 15% in Masked Language Modeling?

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:46:47.114077Z

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=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:d810df43c08be78e7d83e2c7f83a8188d04d100b84237b2ec72814ed73f07c67

Observation ddf3eb95-642c-48bd-9360-f152978044f4 · inbound

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models cites this paper.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Should You Mask 15% in Masked Language Modeling?

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:32.202543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:32.202543Z digest=sha256:c1ef99020e4c6f85139afa4848394815feabb277ae75ca12b0c05bcacb62a623

Observation f8fb0791-dd49-473b-975a-e73ebf1461bb · inbound

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models cites this paper.

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models Should You Mask 15% in Masked Language Modeling?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T17:53:22.954756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:53:22.954756Z digest=sha256:be41b5d967d7ac6bf0761f098a5b46215c12620a060c852e77459f14f2c303c3

Observation 564040d2-9851-47b5-9e3d-664600b6eeb7 · inbound

m3BERT: A Modern, Multi-lingual, Matryoshka Bidirectional Encoder cites this paper.

m3BERT: A Modern, Multi-lingual, Matryoshka Bidirectional Encoder Should You Mask 15% in Masked Language Modeling?

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:08:05.078592Z

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=2026-05-20T06:03:28.169346Z digest=sha256:3860cf0b28a9ea277219a363db6317d2062ebdb3db2302d52fb28be71217c2e3

Observation 3f9da7d0-f7a9-4287-b41f-b90fffb92733 · inbound

Relation Geometry in Semantic Space of Language Models cites this paper.

Relation Geometry in Semantic Space of Language Models Should You Mask 15% in Masked Language Modeling?

Reference 181

Resolution
unresolved
no resolver link, observed 2026-07-30T21:52:46.326741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T21:52:46.326741Z digest=sha256:6956f4229ba467916b56ca08e6411fd138677e4717ed35b8f2d3cb3573909070