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Paper Citation Record · LEDGER

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.07518.

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

pith.paper-citation-record.v1
2405.07518 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:41:03.424827Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:13:45.848242Z

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 e0babe29-107f-4580-9555-083de5ce211b · inbound

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models cites this paper.

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T04:41:03.424827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:41:03.424827Z digest=sha256:3c9ceaa81edf660aeb95a458fe4f84cfa1df884aa0c8cf6e6f2989a430628898

Observation f976aa74-9c9d-4fe1-94d8-13dc6d7ac8c2 · inbound

ELK: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques cites this paper.

ELK: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:13:45.969733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:13:41.241612Z digest=sha256:4335515dc5b859a882fce98b791835a750424b021242dc02aabf201265d63cb4