Paper Citation Record · LEDGER

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.03161.

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

pith.paper-citation-record.v1
2102.03161 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:50:52.957871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.165701Z

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 80025e5d-515b-403d-b32b-77c3118d7720 · inbound

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel cites this paper.

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:15:20.072364Z

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.

Observation 118d9b7d-202d-4873-b31d-4ed9e938fea5 · inbound

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure cites this paper.

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

Reference 218

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:52.957871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d462edb3-af16-4089-bd76-e6206c0da3d3 · inbound

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures cites this paper.

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T05:27:54.171488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43a72b2-361b-47cc-8418-693c7b36b951 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers

Reference 190

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.167327Z

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.