Paper Citation Record · LEDGER

Pathways: Asynchronous Distributed Dataflow for ML

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.12533.

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

pith.paper-citation-record.v1
2203.12533 v1

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 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:14:35.190079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:44.654998Z

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 a815377e-0fc4-415e-956f-8ce646ef5101 · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Pathways: Asynchronous Distributed Dataflow for ML

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:07.093767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8a0fd45-d5b0-4d56-a823-e7243f704868 · inbound

CoCa: Contrastive Captioners are Image-Text Foundation Models cites this paper.

CoCa: Contrastive Captioners are Image-Text Foundation Models Pathways: Asynchronous Distributed Dataflow for ML

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:53:08.365822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bee877f-3334-4be6-b069-8149d26f08bf · inbound

Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput cites this paper.

Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput Pathways: Asynchronous Distributed Dataflow for ML

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T14:14:35.190079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4478030-56f2-458d-9029-3f00ae72213e · inbound

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks cites this paper.

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks Pathways: Asynchronous Distributed Dataflow for ML

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:56:30.691074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd69a097-79f7-4736-b4a4-d5f41176674e · inbound

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks cites this paper.

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks Pathways: Asynchronous Distributed Dataflow for ML

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:20:43.148159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 518a7e18-5593-4bcb-bf6e-33297c63047f · inbound

Piper: A Programmable Distributed Training System cites this paper.

Piper: A Programmable Distributed Training System Pathways: Asynchronous Distributed Dataflow for ML

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T07:57:44.656414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.