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Paper Citation Record · LEDGER

Pathways: Asynchronous Distributed Dataflow for ML

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T11:34:02.562929Z

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T23:45:06.755839Z digest=sha256:264e08dc28fcdafe8a51fa553d946c30ce9d306a21781d01cc1038dce4f9f7f5

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T10:53:08.292063Z digest=sha256:5dcce687de1177a47053110198fbffa5cb080578b72ccc7f273dbebbde93feac

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T01:25:44.244795Z digest=sha256:6bf1f32fb804a37ce8cfbc30fa8589f3d813d60860263f0dccdafaf5922d071f

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T18:32:12.310391Z digest=sha256:caf74f4fc0513ff66e58b6f48e594dd40650b8f59400adce01511c58adec20f7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T11:34:02.562929Z digest=sha256:ad99ba1557de0e0df6740687aac345f4a536e8c2debf76c85478048d5dbf63d4