Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.07152.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:18:56.254476Z
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 fa6660ff-394a-41c6-9ecb-bb57e7852527 · inbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion cites this paper.
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:18:56.254476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13d59269-58c2-4f6e-adaf-b2419ae9fe5e · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:32:46.543267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a19c33c-7a93-44af-afa6-b1697e7e890b · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Reference 166
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:32:47.258149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.