Paper Citation Record · LEDGER

Population Based Training of Neural Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:1711.09846.

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

pith.paper-citation-record.v1
1711.09846 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 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 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:44:30.272610Z

measured 0 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 75ae1af5-f39b-4f9d-8b45-6872bd83bd80 · inbound

On the notion of number in humans and machines cites this paper.

On the notion of number in humans and machines Population Based Training of Neural Networks

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T15:00:57.438395Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13524679-f999-47a3-a1d5-86686627d9a0 · inbound

Growing Action Spaces cites this paper.

Growing Action Spaces Population Based Training of Neural Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T13:25:52.378709Z

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 00964876-aa84-4780-81ae-fa9fa355ad41 · inbound

Attentive Multi-Task Deep Reinforcement Learning cites this paper.

Attentive Multi-Task Deep Reinforcement Learning Population Based Training of Neural Networks

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T02:25:14.656339Z

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 acf06868-73f3-4a76-be00-42d10be084dc · inbound

Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition cites this paper.

Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition Population Based Training of Neural Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:45:06.157578Z

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Observation c2487424-e78e-4428-ad31-2af8ea0519f9 · inbound

Automated Machine Learning in Practice: State of the Art and Recent Results cites this paper.

Automated Machine Learning in Practice: State of the Art and Recent Results Population Based Training of Neural Networks

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:19:50.611278Z

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Observation 111aa95d-af8a-4be5-a8bc-af2806955ab4 · inbound

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

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Population Based Training of Neural Networks

Reference 159

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T08:12:35.381582Z

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 af12bf19-51a5-489e-b2a5-da504530ce32 · inbound

Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data cites this paper.

Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Population Based Training of Neural Networks

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T06:03:58.131163Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d537748-8b87-44c1-a2db-976e51fb6912 · inbound

Proximal Policy Distillation cites this paper.

Proximal Policy Distillation Population Based Training of Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:36.940270Z

Source-reported events for the cited work

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Observation 05febfba-d3de-4502-bb71-0f6ba4848bd1 · inbound

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning cites this paper.

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning Population Based Training of Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:22:52.678990Z

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Observation 64ce023f-aa8e-492a-9582-d6f8f24c94b1 · inbound

Iterated Population Based Training with Task-Agnostic Restarts cites this paper.

Iterated Population Based Training with Task-Agnostic Restarts Population Based Training of Neural Networks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T22:44:30.272610Z

Source-reported events for the cited work

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Observation b64778b3-9b74-4f4c-b318-f75442a5e210 · inbound

Differentiable Evolutionary Reinforcement Learning cites this paper.

Differentiable Evolutionary Reinforcement Learning Population Based Training of Neural Networks

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T22:38:37.424143Z

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 e66a351a-ec2e-4651-832e-1e6e61fdb7bd · inbound

Beyond Success Rates: Trainability and Extractability for Offline GCRL cites this paper.

Beyond Success Rates: Trainability and Extractability for Offline GCRL Population Based Training of Neural Networks

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T04:18:39.973476Z

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Observation ef70b9a0-090f-46cd-b4f5-1f7a22e62418 · inbound

NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming cites this paper.

NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming Population Based Training of Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T22:27:33.281840Z

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Observation 7897219e-135a-45dd-a884-246c244f7bdf · inbound

Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization cites this paper.

Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization Population Based Training of Neural Networks

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T17:37:41.756728Z

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 1dd9d607-f003-4682-9cdc-d159c52f20c2 · inbound

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution cites this paper.

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution Population Based Training of Neural Networks

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:28:10.126800Z

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 6a84e074-11db-462e-a973-b56ce0053070 · inbound

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution cites this paper.

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution Population Based Training of Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T16:52:27.286341Z

Source-reported events for the cited work

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Observation e3ea21df-ad73-445b-9812-2c0621e49a2c · inbound

EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation cites this paper.

EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation Population Based Training of Neural Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:57.902497Z

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 662fb5af-0341-4420-aaa5-3734400e806c · inbound

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS cites this paper.

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS Population Based Training of Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:01.377476Z

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 71c185be-ba30-4654-a854-d2ba966f7396 · inbound

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates cites this paper.

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates Population Based Training of Neural Networks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:01:04.345184Z

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 ef5653d3-969c-4693-ac8a-c77fa5228ce9 · inbound

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models cites this paper.

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models Population Based Training of Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:19.923638Z

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 bf67160f-0ec7-4265-97fa-d354e51929e8 · inbound

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning? cites this paper.

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning? Population Based Training of Neural Networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:28.681118Z

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 2295b5af-344d-4fb2-9c94-8eca78f3ef85 · inbound

Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection cites this paper.

Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection Population Based Training of Neural Networks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:46:08.545157Z

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 fdbf8db3-6c24-427b-948c-8f1b9ae830fc · inbound

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent cites this paper.

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent Population Based Training of Neural Networks

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T13:55:45.943597Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 439eb1a8-08de-4bb0-b323-99958c17ba35 · inbound

Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming cites this paper.

Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming Population Based Training of Neural Networks

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-19T15:27:38.621661Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bd5c082-7a27-49e9-a353-3350b6acdcdc · inbound

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast cites this paper.

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast Population Based Training of Neural Networks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:48:53.292391Z

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 be8e7c21-3f8f-4894-88a2-72acae12b3d9 · inbound

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play Population Based Training of Neural Networks

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:42:48.126005Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a635078-4895-4b44-9152-d4255cf545fc · inbound

What Do Evolutionary Coding Agents Evolve? cites this paper.

What Do Evolutionary Coding Agents Evolve? Population Based Training of Neural Networks

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T03:48:03.090287Z

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Observation 8f643b94-2f42-4010-9287-9968208ae998 · inbound

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork cites this paper.

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork Population Based Training of Neural Networks

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T13:44:40.655360Z

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 6e090715-c4e6-403a-b853-dffd7aecea1e · inbound

A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism cites this paper.

A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism Population Based Training of Neural Networks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:44:39.409356Z

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 2be3ab71-3a2a-43da-a826-7852f77b9e3e · inbound

MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials cites this paper.

MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials Population Based Training of Neural Networks

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-28T20:32:37.275766Z

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Observation da541604-d395-4835-97d0-7708bdef0f42 · inbound

SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems cites this paper.

SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems Population Based Training of Neural Networks

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:26:29.547065Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3ac39bd7-4b66-448f-b050-21f27a0a1fa5 · inbound

Staged Factorial Screening for Budget-Constrained Micro-Pretraining cites this paper.

Staged Factorial Screening for Budget-Constrained Micro-Pretraining Population Based Training of Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.006475Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 153b50fa-4475-4318-80fe-260d8f1a16f2 · inbound

HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning cites this paper.

HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning Population Based Training of Neural Networks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:27:26.938180Z

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 68f3a4ba-dce3-4f6f-8743-f65f12bf4526 · inbound

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching cites this paper.

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching Population Based Training of Neural Networks

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:07:36.676865Z

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Observation 31bd697f-d12d-4b23-aae1-07450efe742e · inbound

Mathematical perspective on genetic algorithms with optimization guided operators cites this paper.

Mathematical perspective on genetic algorithms with optimization guided operators Population Based Training of Neural Networks

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T13:48:20.794077Z

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Observation 037467c9-8e16-4840-9585-f77c4e9062db · inbound

LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents cites this paper.

LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents Population Based Training of Neural Networks

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T20:28:55.484778Z

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 fb0a5bb0-0af4-4f7b-b777-533bee8d7f07 · inbound

Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training cites this paper.

Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training Population Based Training of Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:29:16.767912Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1c7f705-8320-4d3e-867f-0b86e7481d95 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Population Based Training of Neural Networks

Reference 208

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T08:39:42.638023Z

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 ca9ea339-d39e-4b54-9088-697340a08d7d · inbound

AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs cites this paper.

AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs Population Based Training of Neural Networks

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T15:09:54.479560Z

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Observation eb963f3a-b369-4e5c-81d1-c93cd1d2461c · inbound

AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes cites this paper.

AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes Population Based Training of Neural Networks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:54:21.243616Z

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 a39f2675-5034-4db9-bcbb-31946786f620 · inbound

Theory of collective learning in populations of adaptive agents cites this paper.

Theory of collective learning in populations of adaptive agents Population Based Training of Neural Networks

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:17:36.595956Z

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 efea5242-a4aa-4762-bd80-0e4856c97610 · inbound

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales cites this paper.

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Population Based Training of Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T10:43:25.025812Z

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Unavailable: canonical work link unavailable.

Observation fe19918c-d71c-4d96-a37c-6de76fc89550 · inbound

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems cites this paper.

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems Population Based Training of Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-13T00:55:17.107245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e846abbe-9ce5-4980-b40a-8ef019e3fd18 · inbound

Interactive Training 2: Auditable Control Plane for Live Model Training cites this paper.

Interactive Training 2: Auditable Control Plane for Live Model Training Population Based Training of Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:03:04.514901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d290278-e57e-4845-8877-1875dbdedc07 · inbound

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers cites this paper.

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers Population Based Training of Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:14.192886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.