Paper Citation Record · LEDGER

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03488.

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

pith.paper-citation-record.v1
2406.03488 v5

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 2026-08-04T14:43:03.261468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.423575Z

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 8bd5c790-536f-4eb9-8777-7dd810bf72c6 · inbound

InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training cites this paper.

InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:06:27.315698Z

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 9fac3fb5-9d25-40fa-a3e1-a9d17ed9d36b · inbound

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling cites this paper.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.261468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8481f7f7-b548-41f7-a368-e7e70a0df042 · 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 Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:38:09.368076Z

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 b07cd66c-5cbf-433b-915b-711598230a43 · inbound

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency cites this paper.

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.425490Z

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.