Pith. sign in

Paper Citation Record · LEDGER

Hierarchical Roofline Performance Analysis for Deep Learning Applications

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.05257.

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

pith.paper-citation-record.v1
2009.05257 v4

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:09:26.234552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:19:22.647956Z

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 98e40f6e-b193-47f8-86b8-017d3494306f · inbound

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products cites this paper.

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products Hierarchical Roofline Performance Analysis for Deep Learning Applications

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:09:26.234552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:09:26.234552Z digest=sha256:d3d13736ed67959ef864d7f5000e9a2be970129c62408fbf20dcbb1b49d1dcdb

Observation 66f550ee-9ca9-406b-abbc-9b1a032a058a · inbound

ShuntServe: Cost-Efficient LLM Serving on Heterogeneous Spot GPU Clusters cites this paper.

ShuntServe: Cost-Efficient LLM Serving on Heterogeneous Spot GPU Clusters Hierarchical Roofline Performance Analysis for Deep Learning Applications

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:19:22.650012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T19:54:21.515924Z digest=sha256:b8ceae2be2fe9fa16335581fd191f25f45dd485b6d9d6894f3d0817534a722ce