Paper Citation Record · LEDGER

Reinforcement Learning with Unsupervised Auxiliary Tasks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1611.05397.

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

pith.paper-citation-record.v1
1611.05397 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:39:32.069321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T19:06:08.995943Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 14e92d04-108f-4fd2-a2a6-f4964f1f82a5 · inbound

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction cites this paper.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.999190Z

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.

Observation 517d1d1e-4190-4c07-a335-bb31cf6a7801 · inbound

Shaping Belief States with Generative Environment Models for RL cites this paper.

Shaping Belief States with Generative Environment Models for RL Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T18:57:06.846491Z

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.

Observation e3b90c70-0a11-426c-8aac-9df65f5d3079 · inbound

Learning Belief Representations for Imitation Learning in POMDPs cites this paper.

Learning Belief Representations for Imitation Learning in POMDPs Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:56:06.715210Z

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.

Observation bd93b13b-0456-4e43-a530-30037837c8d5 · inbound

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cites this paper.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T14:35:57.379110Z

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.

Observation 775dfe4c-c8fc-4153-8d4d-82d6f7450e9d · inbound

To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments cites this paper.

To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T15:26:14.457991Z

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.

Observation c6802c97-daf4-4b12-9d7e-9a0ff4941d5d · inbound

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model cites this paper.

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-16T23:57:02.713011Z

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.

Observation 49cb5872-2991-401c-a29a-11d762934e06 · inbound

Dream to Control: Learning Behaviors by Latent Imagination cites this paper.

Dream to Control: Learning Behaviors by Latent Imagination Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:36.511720Z

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.

Observation c2d5b451-7c76-412d-b732-bd000dfd64d1 · inbound

Mastering Diverse Domains through World Models cites this paper.

Mastering Diverse Domains through World Models Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:08:22.501186Z

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.

Observation cbf16847-a4e2-4bc1-a597-2b1efb5174f8 · inbound

Hierarchical Successor Representation for Robust Transfer cites this paper.

Hierarchical Successor Representation for Robust Transfer Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T23:46:56.509336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2f41c3-69d3-4b2a-8f8f-63ef9d1ff257 · inbound

Reliability-Aware Geometric Fusion for Robust Audio-Visual Navigation cites this paper.

Reliability-Aware Geometric Fusion for Robust Audio-Visual Navigation Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:17.065113Z

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.

Observation 7aff776e-1348-43dc-a87f-98a81b38dd9f · inbound

Reflective Context Learning: Studying the Optimization Primitives of Context Space cites this paper.

Reflective Context Learning: Studying the Optimization Primitives of Context Space Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:17.004130Z

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.

Observation eb595bab-a188-4494-a781-5cd0db995f48 · inbound

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning cites this paper.

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:29.695769Z

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.

Observation 80e987fe-a219-4022-a0f3-c70591316c19 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:21:33.077174Z

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.

Observation 8eea4d83-7326-4c82-a23f-34cf9df350d7 · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T05:00:21.601916Z

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.

Observation 30a8ef44-1c82-405a-ab56-d557f2d2ea0d · inbound

When Does Reward Teach State? A Hidden-Automaton Instrument and the Group-Language Boundary cites this paper.

When Does Reward Teach State? A Hidden-Automaton Instrument and the Group-Language Boundary Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T07:20:40.802032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47536ad-d400-4540-b82a-cb11a388130e · inbound

PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning cites this paper.

PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T16:26:17.956351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e4a8bd-41a0-4f7a-87c1-794798b2141c · inbound

TAPO: Transition-Aware Policy Optimization for LLM Agents cites this paper.

TAPO: Transition-Aware Policy Optimization for LLM Agents Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T21:44:39.625477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8024fd77-6ac0-4172-b553-47579b855246 · inbound

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 228

Resolution: unresolved; no resolver link, observed 2026-08-03T04:39:32.069321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.