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Paper Citation Record · LEDGER

TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.00247.

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

pith.paper-citation-record.v1
2302.00247 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:52:29.961252Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:41:05.455799Z

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 8c328cf8-f322-402f-ac26-24a7ec6b5976 · inbound

Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference cites this paper.

Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T13:52:29.961252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:29.961252Z digest=sha256:30d949d87c9fd89abf88ba25e8bbb5bb2c65c5d024bc815e6b93fe8ce8aadf1a

Observation f1f2daa4-f894-4bd6-9578-61656de66667 · inbound

FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training cites this paper.

FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:41:05.457905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T01:14:18.241481Z digest=sha256:92eeed118fec480af681b4e80ad35ad83507e4cdec7f5a9fbb9a3e28330501b4