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Paper Citation Record · LEDGER

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.19232.

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

pith.paper-citation-record.v1
2504.19232 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:01:42.265205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:41:44.858043Z

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 993329e5-db85-4264-97e6-8a6aff9b9b9c · inbound

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism cites this paper.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:15.912603Z

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.

source=pdf_text observed=2026-05-08T05:15:09.654940Z digest=sha256:d59048826c52239b7afafb15458e9b2b329dfb15a7469352746ca12c85cf2974

Observation 6b6f1df8-4c35-4b50-8767-088c04899e1b · inbound

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism cites this paper.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:44.863146Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:25f8f2ed60ec16a18f5897e221f8666ff8a89fde2c6a5efab150e204e9617125

Observation 4fdc623d-d305-4449-aa6e-ea5e6b0026f3 · inbound

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:06:14.954658Z

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.

source=pdf_text observed=2026-05-12T02:04:07.344134Z digest=sha256:81ecf3a347743bbbf0a93b44baef0a32a4dc4d6a2a579a8c7b73fe045bc797ad