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Paper Citation Record · LEDGER

Open-Ended Learning Leads to Generally Capable Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2107.12808.

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

pith.paper-citation-record.v1
2107.12808 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:48.693210Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

55
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7e06add3-3a4f-4eba-8a92-23193fa032b7 · inbound

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory cites this paper.

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory Open-Ended Learning Leads to Generally Capable Agents

Reference 24

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verified exact
arxiv_id, observed 2026-05-15T18:37:20.980492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T18:37:20.889942Z digest=sha256:b3457b531bfd5cc9ba98ae3afe945592fa3d2b9e3162c0b35b7aead3fa526f72

Observation 3408c88d-7d0c-4c42-be8d-52bf02bd0ee7 · inbound

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning cites this paper.

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Open-Ended Learning Leads to Generally Capable Agents

Reference 64

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arxiv_id, observed 2026-05-12T21:04:41.884283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T21:04:41.685457Z digest=sha256:91738e3f816cd5b2554ed2ad9e08fa266c78ee45b12bb9a37d486e5b2fd2f093

Observation 91c92868-b5bb-4556-8a86-795ac612be9a · inbound

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

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Open-Ended Learning Leads to Generally Capable Agents

Reference 248

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verified exact
arxiv_id, observed 2026-05-16T08:12:31.097333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:57a0e92fb7fe729f847c6792f5324bf7045ca9aed7ff6831a8bc05ff164882ec

Observation 83458eb4-fba2-4d8b-ad07-b847d65ee42f · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Open-Ended Learning Leads to Generally Capable Agents

Reference 48

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metadata mismatch
arxiv_id, observed 2026-05-18T06:38:36.747456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T06:38:36.517935Z digest=sha256:6301789e62553e71caa69aaadf7f5a7b6a87641be58bd4452c6cc85cd88d8a95

Observation 6af599b8-2158-4289-8929-70399e914dee · inbound

Trajectory World Models for Heterogeneous Environments cites this paper.

Trajectory World Models for Heterogeneous Environments Open-Ended Learning Leads to Generally Capable Agents

Reference 15

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unresolved
no resolver link, observed 2026-08-09T15:36:48.693210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:36:48.693210Z digest=sha256:a7a81f01bbe2b00aef3d6424c351cfb08d71170d7a81aeee02d42f710aef7d77

Observation 2732f3cf-82b9-4626-92b7-85c8d330a9a2 · inbound

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution Open-Ended Learning Leads to Generally Capable Agents

Reference 41

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unresolved
no resolver link, observed 2026-08-07T14:47:35.254106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:35.254106Z digest=sha256:c3050938c282d16b5e65c0557e9a1d2702781541a8c22edd83006f9d39293a81

Observation 30ba1cef-de89-459b-b860-9db539608c03 · inbound

Training RL Agents for Multi-Objective Network Defense Tasks cites this paper.

Training RL Agents for Multi-Objective Network Defense Tasks Open-Ended Learning Leads to Generally Capable Agents

Reference 43

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no resolver link, observed 2026-08-07T13:11:09.774147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:11:09.774147Z digest=sha256:f019925f988ffaad3a31a5379e668f7370253d29cc7d52c59d0e24d928ba2da5

Observation e8271d92-acd2-4f79-b5c5-8d52a50d3e36 · inbound

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach cites this paper.

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach Open-Ended Learning Leads to Generally Capable Agents

Reference 7

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no resolver link, observed 2026-08-07T11:07:25.679638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:25.679638Z digest=sha256:30648fd218b7c214ea1649bf8063e1b00b5df52f30833c67092af28990c2ddec

Observation abd0e088-0109-4ed7-82e1-872d4053e928 · inbound

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback Open-Ended Learning Leads to Generally Capable Agents

Reference 37

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unresolved
no resolver link, observed 2026-08-07T11:03:29.057904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:29.057904Z digest=sha256:bb58ab53e7cd603c0cadb4a7a246e120fbab5d84dd275c663718b48c7b4dc300

Observation a2efa990-e530-4441-92b9-f9d0df2450d4 · inbound

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms cites this paper.

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms Open-Ended Learning Leads to Generally Capable Agents

Reference 14

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no resolver link, observed 2026-08-07T05:59:04.589837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:04.589837Z digest=sha256:0cc5b2dc1487ca442cd7cb743349853c7ac95cb51ba3ab856006b4d5142f0c7f

Observation 8240a333-4a49-4961-afce-02f0c50f7179 · inbound

Uncertainty Prioritized Experience Replay cites this paper.

Uncertainty Prioritized Experience Replay Open-Ended Learning Leads to Generally Capable Agents

Reference 86

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no resolver link, observed 2026-08-07T04:59:14.869952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:14.869952Z digest=sha256:19bc2cbf9158fa6c1819c5631a1dd3835fa50ac71552745b4680791fbab5e05c

Observation 1ef34d1d-94b4-4132-be9c-f06ad2d58123 · inbound

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines cites this paper.

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines Open-Ended Learning Leads to Generally Capable Agents

Reference 9

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verified exact
arxiv_id, observed 2026-05-19T06:42:07.611198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T06:38:33.969927Z digest=sha256:1b71594717ad4c0e852f07a33d857057589524acd4e7baffb635b6cd88fad2f2

Observation db5c832c-fde3-4b28-af48-6e0b8a96293c · inbound

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making cites this paper.

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Open-Ended Learning Leads to Generally Capable Agents

Reference 40

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unresolved
no resolver link, observed 2026-08-06T17:12:30.024146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:30.024146Z digest=sha256:566e55dfcd204a8c7f5e1500787fed4432ca03dfbfbb5a66263559304575ee9b

Observation 23c62845-b9db-4975-b2ea-c7aabaade011 · inbound

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models cites this paper.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Open-Ended Learning Leads to Generally Capable Agents

Reference 15

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unresolved
no resolver link, observed 2026-08-06T16:47:24.273683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:47:24.273683Z digest=sha256:55496a58531bbc3ba70c786dfdda8bfa66621dc261057b0eb5dfa7ab498304e8

Observation a92abfb9-498b-4a54-bc13-773366a63bf7 · inbound

Agentic Services Computing cites this paper.

Agentic Services Computing Open-Ended Learning Leads to Generally Capable Agents

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-04T14:41:50.895508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:41:50.895508Z digest=sha256:b61697a71bcbc8e8fd31f08f15564c15543e461c4b43acb63d0e2bb0f7a6ddba

Observation b8e21e40-7d79-4991-9433-1a67b4fc300d · 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 Open-Ended Learning Leads to Generally Capable Agents

Reference 163

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verified exact
arxiv_id, observed 2026-05-15T20:46:35.683618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:02c88afa593dd2e2aceafbdfc68795078cbc305d69f10d27ac63aa7c86b02c08

Observation 4fb0f036-004b-491f-abaa-551f1b531280 · inbound

Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments cites this paper.

Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments Open-Ended Learning Leads to Generally Capable Agents

Reference 60

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unresolved
no resolver link, observed 2026-08-02T18:45:23.178594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T18:45:23.178594Z digest=sha256:df537e8c04be73f46a57698841558dc995e396790c26f36c77b7d5fc2173bcab

Observation cee05181-5bae-41eb-8150-6fc28b2c9b2e · inbound

Task diversity produces systematic transfer but inhibits continual reinforcement learning cites this paper.

Task diversity produces systematic transfer but inhibits continual reinforcement learning Open-Ended Learning Leads to Generally Capable Agents

Reference 31

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verified exact
arxiv_id, observed 2026-06-28T19:02:34.232264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T18:58:56.444461Z digest=sha256:1aa335af3ffa3b544f9061a74601d96de349265d152a801b9d10a1b7675d00c1

Observation 8ee445a7-fa5c-4195-b431-c208fd46b7d1 · inbound

Robots Need More than VLA and World Models cites this paper.

Robots Need More than VLA and World Models Open-Ended Learning Leads to Generally Capable Agents

Reference 160

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verified exact
arxiv_id, observed 2026-07-02T13:46:59.375924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:e2aa0894ece79736ec071f4fdc0ffc271caa841e13d91ab4db989136b0db662c

Observation d81397b3-3166-4484-98d6-8a28f02370d2 · inbound

A Compositional Framework for Open-ended Intelligence cites this paper.

A Compositional Framework for Open-ended Intelligence Open-Ended Learning Leads to Generally Capable Agents

Reference 97

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metadata mismatch
arxiv_id, observed 2026-07-03T17:28:44.738730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T04:03:03.575177Z digest=sha256:7a05cb9d7b79296ffda660d792f578db7a6baedc10970b2d5a81cee9fc14744b

Observation dc08f7c0-ebed-4f4d-b80a-28edf29ed1e5 · inbound

Hierarchical Experimentalist Agents cites this paper.

Hierarchical Experimentalist Agents Open-Ended Learning Leads to Generally Capable Agents

Reference 5

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verified exact
arxiv_id, observed 2026-06-30T07:34:21.625587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T07:29:24.656530Z digest=sha256:11dfd2d3705884052157d79a0ff6a919be26dec398bd41df1b830a3f37d0a6de

Observation 26b7c62d-c3fe-4832-9014-96334b8b9ea3 · inbound

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling cites this paper.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Open-Ended Learning Leads to Generally Capable Agents

Reference 56

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no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:02b0356c107d1bb272a1063103e28ce03aa7f66c3fb8c66e9961d9841a6d06ff