Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.10377.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:56.571437Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T14:06:27.321942Z
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 189c9a74-087d-4838-87c6-51850541487c · 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 SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:06:27.324412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 75c6c37c-7042-4a95-8d2c-40d78b236e7b · 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 SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:42:56.571437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7124acc0-072b-4787-b326-466a5776fea3 · inbound
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware cites this paper.
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:00:55.671904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.