Paper Citation Record · LEDGER

Learning to Reach Goals via Iterated Supervised Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1912.06088.

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

pith.paper-citation-record.v1
1912.06088 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 2026-08-22T06:32:14.747728+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:27:33.292977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:37.764826Z

Reference resolution

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verified exact0
verified fuzzy0
unresolved0
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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 bd565aa9-bc56-47dc-acfe-3f509a04729c · inbound

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

Decision Transformer: Reinforcement Learning via Sequence Modeling Learning to Reach Goals via Iterated Supervised Learning

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:11:11.146419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68123a56-28d6-4845-ac1b-34dd7abfb872 · inbound

Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners? cites this paper.

Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners? Learning to Reach Goals via Iterated Supervised Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T16:49:59.173266Z

Source-reported events for the cited work

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Observation 4db30e35-46e4-42e7-93ed-be61638f6b07 · inbound

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following cites this paper.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Learning to Reach Goals via Iterated Supervised Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:18:20.271493Z

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Observation a2365892-1fd6-4786-9f4b-ca7f9256155e · inbound

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies cites this paper.

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies Learning to Reach Goals via Iterated Supervised Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:25.585866Z

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Observation 501446ab-2c25-4b60-8f7b-9466e8128aff · inbound

Normalizing Flows are Capable Models for Continuous Control cites this paper.

Normalizing Flows are Capable Models for Continuous Control Learning to Reach Goals via Iterated Supervised Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:49:57.280493Z

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Observation 77335ca6-e087-4292-8657-b2892f585840 · inbound

Efficient Skill Discovery via Regret-Aware Optimization cites this paper.

Efficient Skill Discovery via Regret-Aware Optimization Learning to Reach Goals via Iterated Supervised Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:34.963486Z

Source-reported events for the cited work

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Observation 5cf61d41-82c4-49f2-a1c1-391bcedd557c · inbound

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

Behavioral Exploration: Learning to Explore via In-Context Adaptation Learning to Reach Goals via Iterated Supervised Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:44.449930Z

Source-reported events for the cited work

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Observation 43cca234-29f1-4921-8ad4-e0236c4c209a · inbound

Equivariant Goal Conditioned Contrastive Reinforcement Learning cites this paper.

Equivariant Goal Conditioned Contrastive Reinforcement Learning Learning to Reach Goals via Iterated Supervised Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:24.538792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad19f8a-a269-4666-9acf-cc9855668f46 · inbound

Generative Sequential Notification Optimization via Multi-Objective Decision Transformers cites this paper.

Generative Sequential Notification Optimization via Multi-Objective Decision Transformers Learning to Reach Goals via Iterated Supervised Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:57.847334Z

Source-reported events for the cited work

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Observation 9577541d-712f-4db9-ae4d-f9326ebcec4f · inbound

Reinforcement Learning with Anticipation: A Hierarchical Approach for Long-Horizon Tasks cites this paper.

Reinforcement Learning with Anticipation: A Hierarchical Approach for Long-Horizon Tasks Learning to Reach Goals via Iterated Supervised Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:27:33.292977Z

Source-reported events for the cited work

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Observation f91be620-0707-400c-ad6c-ff4412ea2e29 · inbound

Compositional Diffusion with Guided Search for Long-Horizon Planning cites this paper.

Compositional Diffusion with Guided Search for Long-Horizon Planning Learning to Reach Goals via Iterated Supervised Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T13:13:43.891012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61541cb6-5ace-4b62-b49a-b960b8966cbe · inbound

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels cites this paper.

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels Learning to Reach Goals via Iterated Supervised Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:09:22.537167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bf7c55e-445b-40e5-b3dd-c16b65b7fb51 · inbound

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning cites this paper.

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning Learning to Reach Goals via Iterated Supervised Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:58.412122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5aa919d6-8f34-4df2-b8f5-833489def7b7 · inbound

From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning cites this paper.

From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning Learning to Reach Goals via Iterated Supervised Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:45:59.479633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebc466fa-a539-42e0-8872-1dece75ebddf · inbound

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories cites this paper.

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories Learning to Reach Goals via Iterated Supervised Learning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:14.937117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9cd5e1be-e9e7-426e-89cb-ac5bc540f741 · inbound

Refining Compositional Diffusion for Reliable Long-Horizon Planning cites this paper.

Refining Compositional Diffusion for Reliable Long-Horizon Planning Learning to Reach Goals via Iterated Supervised Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:18.892607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f251c31-f01f-44ec-bb2d-a33d443c71a1 · inbound

Predictive but Not Plannable: RC-aux for Latent World Models cites this paper.

Predictive but Not Plannable: RC-aux for Latent World Models Learning to Reach Goals via Iterated Supervised Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.291741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eedc35fc-db0c-491c-b15a-4d9bf6b32975 · inbound

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning cites this paper.

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning Learning to Reach Goals via Iterated Supervised Learning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:16:26.289713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c3561a8-9ed5-4b13-b510-7f5d4cfafe5b · inbound

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation cites this paper.

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation Learning to Reach Goals via Iterated Supervised Learning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:01:20.332386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eaa4089d-ea58-428a-b5cd-a7c926920358 · inbound

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

Goal-Conditioned Agents that Learn Everything All at Once Learning to Reach Goals via Iterated Supervised Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:21.639083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44fae367-5737-45ed-a48a-14de6a58cc3e · inbound

Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling cites this paper.

Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling Learning to Reach Goals via Iterated Supervised Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:34.180587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35711ff6-2e43-42c2-9206-285dde74bc2e · inbound

Energy-based Compositional Diffusion Planning cites this paper.

Energy-based Compositional Diffusion Planning Learning to Reach Goals via Iterated Supervised Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:37.767185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9624c5c-ee09-4152-827d-13cbb574d786 · inbound

Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations cites this paper.

Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations Learning to Reach Goals via Iterated Supervised Learning

Reference 22

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Observation 9583241c-4031-4b02-b8df-99f34b72dffa · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Learning to Reach Goals via Iterated Supervised Learning

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:13.164857Z

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Observation d74aa734-1585-4a62-9ec3-50ea4030e825 · inbound

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning cites this paper.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Learning to Reach Goals via Iterated Supervised Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T03:05:32.177521Z

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Observation 21c83659-5f2d-4b0d-815c-58825c68a30d · inbound

Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control cites this paper.

Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control Learning to Reach Goals via Iterated Supervised Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T02:48:10.458568Z

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Unavailable: canonical work link unavailable.

Observation c44246e3-72aa-4150-9137-819f79b53e22 · inbound

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models cites this paper.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning to Reach Goals via Iterated Supervised Learning

Reference 18

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Unavailable: canonical work link unavailable.