Pith. sign in

Paper Citation Record · LEDGER

Meta-Q-Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.00125.

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

pith.paper-citation-record.v1
1910.00125 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:13.975612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:47:25.815785Z

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 547a31c4-a353-49d7-8621-5140d9a41bba · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Meta-Q-Learning

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:48.286644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:ca00d6e34f5eb6839d06a8349058528fa872f982067e560607ef501ff9fb8d1c

Observation 9fa0c36e-b606-4133-8923-867a80f229b4 · inbound

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers cites this paper.

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Meta-Q-Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T18:52:13.975612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:52:13.975612Z digest=sha256:0b028c5ddd6637d8b0819b8ff338f17180bba894d790b72476402f6bf3a1ca01

Observation 6c81963b-640c-4640-924f-fb8f0435408b · inbound

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks cites this paper.

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks Meta-Q-Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.868702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-23T03:27:41.641417Z digest=sha256:77f295496b09313d93d66e1762c75340cf3268f461457d259c71d8c7555792ce

Observation 8b71c34a-795e-4b88-8176-b354d70e1cb1 · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Meta-Q-Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:39.753353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:39.753353Z digest=sha256:677b9743e218511ff68af5cc9a7bb7a89414f22b11091c4467afb459f03991f4

Observation 28fea201-9e02-4010-b0fb-918efbb07184 · inbound

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent cites this paper.

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent Meta-Q-Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.704240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:c240a8f05b4c248a57758e1dbb17d2760b9d9309b9a8d4bedeffae5cc60573d2

Observation 92ca96aa-96f9-4d01-af0e-2857d5338fe8 · inbound

Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning cites this paper.

Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning Meta-Q-Learning

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:47:25.817093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T18:39:51.994350Z digest=sha256:6e306e1662ab9a850755f31ad76256d5b5c6630f7fc2978e092fba898d6d20f8