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Paper Citation Record · LEDGER

Open-Ended Learning Leads to Generally Capable Agents

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:41:50.895508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T18:37:20.889942Z digest=sha256:a99ba1571865cf8e06270836d24b7097500108b11ed8e671b51809ab9b73010d

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T21:04:41.685457Z digest=sha256:2b4e9519754e1f56c5404caa1c3fbeed098fabda696ba02b4df42fa8932bf513

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:76ba78c9615fa6abba5f2dcd720332ff3e3f4f233f1ba6ba979e3f6d264ba754

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T06:38:36.517935Z digest=sha256:54e5e3a5032ec1184c52e5d6f425e69973ea5f802310c0d3370afd80c4d66509

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T06:38:33.969927Z digest=sha256:dbb502a237ce0677c784d304c42c757cfa2373e16e35e9817f28c124c7d52f3f

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=sha256:6d4c38110817b83bf1675cf3f5845dfcd5223e38cb8c1b11c08dab077a5a2589

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:82250c40a5dbf4f8a6bca84adbf316c1788530afeed6b4eff61309166b813a3e

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

Resolution
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=sha256:96822ae09908977fcdcd7a9611c431758849587422bfa7a9dea965e165740e80

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T18:58:56.444461Z digest=sha256:05727814f38610adbbea1ef5c91dd26d9210ee43693aecd54d35e04b132ecb69

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:17b17403e55657cffae2924668f8bb393a841037f6a7ebe1c57834e1e59f22f6

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T04:03:03.575177Z digest=sha256:30e7b688742a28051f9d7d0a404e6439e636a2b2b9e8094dc034b84678ef7d24

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T07:29:24.656530Z digest=sha256:2a04727e99d65678c295389361ec77b4347403727e611186979a7e349fd6c8cb

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

Resolution
unresolved
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:f2413a09a3adeffaa365914e437397fffcac71aa6d84104c324cb61ee13edf7a