Paper Citation Record · LEDGER

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2201.12023.

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

pith.paper-citation-record.v1
2201.12023 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:14:22.505766Z

measured 0 of 1 external citation measurements

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.