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Paper Citation Record · LEDGER

LazyFormer: Self Attention with Lazy Update

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.12702.

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

pith.paper-citation-record.v1
2102.12702 v1

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T08:36:55.970834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:37:44.989542Z

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 ef935eed-d2fd-4ae4-a0a6-a5d052d8cc4a · inbound

Transformer Neural Processes - Kernel Regression cites this paper.

Transformer Neural Processes - Kernel Regression LazyFormer: Self Attention with Lazy Update

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:37:44.993030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T08:36:55.970834Z digest=sha256:ecf624ae5f0b828a1cd706c887cbb14a3b4b95710e79679eb31a5acaf7bbeda3

Observation 8218bed6-b7a5-4a03-ba3c-2136cb234631 · inbound

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing cites this paper.

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing LazyFormer: Self Attention with Lazy Update

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:48:27.062559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T02:48:18.330339Z digest=sha256:8284e168d21bfeb06f588d353fdfe6680786d89a2bc8833eb9b0dca4e23e6003