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Paper Citation Record · LEDGER

Mix&Match - Agent Curricula for 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:1806.01780.

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

pith.paper-citation-record.v1
1806.01780 v1

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 2026-05-25T13:24:59.682609Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T13:25:52.393046Z

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 8cba6912-f8b4-415f-9083-ab27da064c89 · inbound

Growing Action Spaces cites this paper.

Growing Action Spaces Mix&Match - Agent Curricula for Reinforcement Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-25T13:25:52.395718Z

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=2026-05-25T13:24:59.682609Z digest=sha256:19c0b1fa328d0b7369195d17204474176373bbdc192ab75a50fb3a0a334ac64a

Observation 45b4e543-c692-4af6-a0fb-47e9e42c4aa3 · inbound

Attentive Multi-Task Deep Reinforcement Learning cites this paper.

Attentive Multi-Task Deep Reinforcement Learning Mix&Match - Agent Curricula for Reinforcement Learning

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T02:25:14.643750Z

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=2026-05-25T02:25:00.765509Z digest=sha256:b647327f72d8e84ed5b5d1da1024a7471030faa1f51383168edd2d5b12b20462

Observation b86d6ea2-f478-4273-8d6a-87e940de59c2 · inbound

Dota 2 with Large Scale Deep Reinforcement Learning cites this paper.

Dota 2 with Large Scale Deep Reinforcement Learning Mix&Match - Agent Curricula for Reinforcement Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T22:18:15.798083Z

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=2026-05-12T22:18:15.591361Z digest=sha256:ee5a11414be10525c610a046682c597fcc258c243d40d2de4e269443bbd9129b