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Paper Citation Record · LEDGER

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.10924.

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

pith.paper-citation-record.v1
2009.10924 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:18.710415Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:14:18.876654Z

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 4da71da3-82fd-4be6-8473-add67e484281 · inbound

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning cites this paper.

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:18.710415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:18.710415Z digest=sha256:61450f16965c35e7a8bf3d4fb94ba8a50fa8960c5a68d0ec3b2c8b99fc90eb9d

Observation a8893b13-17ce-4513-b995-54b4b8c4b4f1 · inbound

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators cites this paper.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T22:17:59.486067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:17:59.486067Z digest=sha256:7575678dace60e7e8bacdf5ece6e9d08415e8dcc74d44dd7814bcf1ec0b79f35

Observation 6c2a8ee3-907b-4f38-bae2-b48a41f44e22 · inbound

ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures cites this paper.

ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:14:18.939842Z

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=pdf_text observed=2026-08-05T17:14:18.523453Z digest=sha256:20c6cdf3ce4fdba2736a57dead40ea6873c8a0f9d87da8fb47213b95741614c8