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Paper Citation Record · LEDGER

FeUdal Networks for Hierarchical Reinforcement Learning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.01161.

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

pith.paper-citation-record.v1
1703.01161 v2

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 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:35.273949Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T16:26:01.486024Z

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 188fb052-ae82-40b9-86d6-fce4d2fb3d03 · inbound

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives cites this paper.

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives FeUdal Networks for Hierarchical Reinforcement Learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:26:01.488629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T16:22:50.877642Z digest=sha256:fbecc1fa29b8f3c86ac5419f6d642e49356fbb4e7b6fafcf54280a3084ba3db1

Observation 4bf9deed-7e16-4441-a847-d8faa093e246 · inbound

A Policy Decomposition Framework for Dynamic Order Fulfillment Operations cites this paper.

A Policy Decomposition Framework for Dynamic Order Fulfillment Operations FeUdal Networks for Hierarchical Reinforcement Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-11T22:00:16.070183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:00:16.070183Z digest=sha256:25ea796e20eb27e03dca4eb2dd12082faed599f1ae91060076bde0944d38f7af

Observation ddec96fb-169f-4af7-b17c-295cf22410d1 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills FeUdal Networks for Hierarchical Reinforcement Learning

Reference 246

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.273949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.273949Z digest=sha256:19adc8ee02e4384144b571c92731a8ead0f1334ff5da0aa9b587c1862079dd3b