Paper Citation Record · LEDGER

Memory-Efficient Pipeline-Parallel DNN Training

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.09503.

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

pith.paper-citation-record.v1
2006.09503 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T09:15:12.214083Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

62
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6656ea42-2413-4e6f-91fd-1fcdbb5facdb · inbound

Efficient Training on Multiple Consumer GPUs with RoundPipe cites this paper.

Efficient Training on Multiple Consumer GPUs with RoundPipe Memory-Efficient Pipeline-Parallel DNN Training

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.796191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1a6a5f8-77d9-4683-bd6b-4db06d5b07c9 · inbound

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism cites this paper.

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism Memory-Efficient Pipeline-Parallel DNN Training

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-08T17:13:38.740359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 84d3181d-b62f-4412-8da9-cf887ec09cc6 · inbound

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability Memory-Efficient Pipeline-Parallel DNN Training

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:38:09.481415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49378994-0105-4fc3-be1b-69c070a6aebb · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining Memory-Efficient Pipeline-Parallel DNN Training

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:16:06.540962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.