Paper Citation Record · LEDGER

Go-Explore: a New Approach for Hard-Exploration Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1901.10995.

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

pith.paper-citation-record.v1
1901.10995 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:23.984633Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:55.587215Z

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 9f34eb5f-2973-4721-8ab0-e6706a604dab · inbound

Optimistic Proximal Policy Optimization cites this paper.

Optimistic Proximal Policy Optimization Go-Explore: a New Approach for Hard-Exploration Problems

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T16:31:01.523293Z

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.

Observation ec06e9af-2a0c-41c3-8b6c-a78d40a23a4f · inbound

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning cites this paper.

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Go-Explore: a New Approach for Hard-Exploration Problems

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-25T12:35:49.184554Z

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.

Observation 81a7317a-6e7b-49e7-ad02-e1b1e61a4db8 · inbound

Decision Transformer: Reinforcement Learning via Sequence Modeling cites this paper.

Decision Transformer: Reinforcement Learning via Sequence Modeling Go-Explore: a New Approach for Hard-Exploration Problems

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:11:11.205996Z

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.

Observation 3f8d8688-9a36-49d7-9886-bf2f971e4d62 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Go-Explore: a New Approach for Hard-Exploration Problems

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:11:41.131498Z

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.

Observation 4a1fdbb8-2297-407e-b715-b4a29d5fe35a · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Go-Explore: a New Approach for Hard-Exploration Problems

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.325501Z

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.

Observation 7d72ca4f-bdf4-4b44-b233-6a1ae9522f47 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Go-Explore: a New Approach for Hard-Exploration Problems

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T08:12:35.387667Z

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.

Observation 0e4a0991-a9d0-437f-a07d-ce67ced47840 · inbound

Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment cites this paper.

Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment Go-Explore: a New Approach for Hard-Exploration Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:23.984633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76461444-87e5-4d47-848f-93334478ac38 · inbound

TextAtari: 100K Frames Game Playing with Language Agents cites this paper.

TextAtari: 100K Frames Game Playing with Language Agents Go-Explore: a New Approach for Hard-Exploration Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:57.859852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e26509-53b6-4ac0-a579-ec7add5f2be0 · inbound

Reinforcement Learning via Implicit Imitation Guidance cites this paper.

Reinforcement Learning via Implicit Imitation Guidance Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.323819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a5722b-ccca-4208-bb58-b7412a6a7e36 · inbound

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems cites this paper.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Go-Explore: a New Approach for Hard-Exploration Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:34.943251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a8d39d-42a5-4abe-bf7d-575a39e8159f · inbound

First Return, Entropy-Eliciting Explore cites this paper.

First Return, Entropy-Eliciting Explore Go-Explore: a New Approach for Hard-Exploration Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.229578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dece67f-c87a-4143-9c04-e5050612bac0 · inbound

Behavioral Exploration: Learning to Explore via In-Context Adaptation cites this paper.

Behavioral Exploration: Learning to Explore via In-Context Adaptation Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:43.839731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05404bdc-9d67-4074-b0fe-25f965c19a8b · inbound

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T10:53:07.774986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b84bfd9d-e694-48cc-8093-a6b07bbae84d · inbound

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming cites this paper.

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming Go-Explore: a New Approach for Hard-Exploration Problems

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:25:51.541835Z

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.

Observation d617b402-533e-4565-bbe1-64537fbb271d · inbound

PokeRL: Reinforcement Learning for Pokemon Red cites this paper.

PokeRL: Reinforcement Learning for Pokemon Red Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:06:04.951429Z

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.

Observation 004a8e9c-b238-4718-bd55-0e1fbb61e780 · inbound

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds cites this paper.

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds Go-Explore: a New Approach for Hard-Exploration Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:09:02.732016Z

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.

Observation 6b3450c5-2622-43b9-ae66-93331973bc51 · inbound

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds cites this paper.

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds Go-Explore: a New Approach for Hard-Exploration Problems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.360948Z

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.

Observation 5ae92e95-fec7-4c31-9a07-229b1969dbf4 · inbound

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models cites this paper.

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models Go-Explore: a New Approach for Hard-Exploration Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:47:48.372712Z

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.

Observation d746323c-b89a-4ddf-a4fe-e3896b8ca00c · inbound

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization cites this paper.

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization Go-Explore: a New Approach for Hard-Exploration Problems

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:43:17.014465Z

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.

Observation b6ab44df-a973-412d-b211-e743e218b7c1 · inbound

REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak cites this paper.

REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:19:42.017967Z

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.

Observation 2759fabd-86b8-46a4-ae4b-5750368d85a7 · inbound

TriSearch: Learning to Optimize Triangulations via Bistellar Flips cites this paper.

TriSearch: Learning to Optimize Triangulations via Bistellar Flips Go-Explore: a New Approach for Hard-Exploration Problems

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.569692Z

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.

Observation 75937c7e-9c47-4dfd-a7ee-7229a3138c8a · inbound

ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control cites this paper.

ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control Go-Explore: a New Approach for Hard-Exploration Problems

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:16:33.872703Z

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.

Observation 70c5dc13-8388-47fe-9647-63a371b7d344 · inbound

The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators cites this paper.

The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators Go-Explore: a New Approach for Hard-Exploration Problems

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:19:56.486958Z

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.

Observation 97995bec-4cce-4319-94e8-66108d5c6b55 · inbound

The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators cites this paper.

The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators Go-Explore: a New Approach for Hard-Exploration Problems

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:34:34.706624Z

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.

Observation 8b571451-306a-446d-9365-0c52851e27b2 · inbound

Mesh-RL: Coupled subgrid reinforcement learning cites this paper.

Mesh-RL: Coupled subgrid reinforcement learning Go-Explore: a New Approach for Hard-Exploration Problems

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:29:55.590065Z

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.

Observation 4a3d1d1b-a308-45fe-8c5c-5662f1416943 · inbound

Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy cites this paper.

Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy Go-Explore: a New Approach for Hard-Exploration Problems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:25:48.454088Z

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.

Observation aee746cb-ce86-4970-89e9-4979ed0a3bac · inbound

TopoExplore: Topological Discrimination for Archive-Based Exploration cites this paper.

TopoExplore: Topological Discrimination for Archive-Based Exploration Go-Explore: a New Approach for Hard-Exploration Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T14:14:16.578488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.