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Paper Citation Record · LEDGER

Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.00517.

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

pith.paper-citation-record.v1
2011.00517 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:35:58.982586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:27:55.571689Z

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 e94d637f-b86c-4a25-b0c1-e186444bf658 · inbound

FeudalNav: A Simple Framework for Visual Navigation cites this paper.

FeudalNav: A Simple Framework for Visual Navigation Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:27:55.574272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T13:25:17.745342Z digest=sha256:0129d7dfb7784b96a8e4ab22a1db95cacf4e47f62961e4995d2073801441950b

Observation a70a5ff2-aa3f-430b-a609-d656c87e30cf · inbound

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents cites this paper.

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T14:35:58.982586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:35:58.982586Z digest=sha256:5be97924b96c3dc6a2696bc65c9311923dfca5bb76fdae16b42b2395cbf4bfb5