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Paper Citation Record · LEDGER

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.12719.

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

pith.paper-citation-record.v1
2011.12719 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:07:34.992842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.500852Z

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 7424fa68-1741-4a3a-b37c-cd5759b34ede · inbound

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster cites this paper.

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:34.992842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:07:34.992842Z digest=sha256:b44c69cfdc9a4e1737ca6d3de5cfeb5de69ab8b7f069e28d6fabe2efec937130

Observation 46442a7c-ef05-477b-9cee-6de45227cedf · inbound

MagicSim: A Unified Infrastructure for Executable Embodied Interaction cites this paper.

MagicSim: A Unified Infrastructure for Executable Embodied Interaction RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.205180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T01:00:07.465292Z digest=sha256:c7ac0a3cd2908e01a49b87a48189561dc16e0606579c307aba7be730d83578d3

Observation b7f17b46-2929-4661-981e-d42cadc8d622 · inbound

The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning cites this paper.

The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:58.502277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T21:19:03.637434Z digest=sha256:8fe4ad983b6debc7ceefa4b7f42eec699e5ed32b36c74097cb5cffa093c84a7d