Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2201.12023.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:20:59.515950Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T21:16:34.309816Z
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 dbb50cdc-40a3-4bd8-b72d-027bf4fb291a · inbound
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers cites this paper.
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:18:35.194757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5a548135-8c87-4100-b433-930d8ca40acc · inbound
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:50:09.352295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 29e2cab1-2fc9-4a87-ad2f-824e7f23e79e · inbound
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators cites this paper.
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:20:59.515950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 246c3827-a89b-4aa2-9451-d0bfe498b018 · inbound
Glinthawk: A Two-Tiered Architecture for Offline LLM Inference cites this paper.
Glinthawk: A Two-Tiered Architecture for Offline LLM Inference Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:01:46.438859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a4c607d-2d59-4ad5-aba4-f0ec474863d6 · inbound
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers cites this paper.
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:02.683674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b2c8f17-1800-4909-966c-c30e70aec4c7 · inbound
Characterizing Communication Patterns in Distributed Large Language Model Inference cites this paper.
Characterizing Communication Patterns in Distributed Large Language Model Inference Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:14:22.505766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a861850-3423-4a90-94d9-ee76fc80e21d · inbound
Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference cites this paper.
Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:41:14.238270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e939b00-5173-4162-8a61-3cc26ee95317 · 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 Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:38:09.485507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d883b3e0-a085-4711-985c-af01394ba508 · inbound
Voltron: Enabling Elastic Multi-Device Execution of LLM Inference for Empowered Edge Intelligence cites this paper.
Voltron: Enabling Elastic Multi-Device Execution of LLM Inference for Empowered Edge Intelligence Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:16:34.311131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.