Paper Citation Record · LEDGER

Reinforcement Learning via Implicit Imitation Guidance

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 8 inbound Pith citation observations for arXiv:2506.07505.

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

pith.paper-citation-record.v1
2506.07505 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:46.402936Z

measured 31 of 31 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:27:43.858412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:12:05.250025Z

Reference resolution

23 of 23 outbound references displayed

verified exact3
verified fuzzy4
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54098eb7-f739-4b53-b9d7-90eaa0d274cc · outbound

This paper cites Efficient Online Reinforcement Learning with Offline Data.

Reinforcement Learning via Implicit Imitation Guidance Efficient Online Reinforcement Learning with Offline Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.315134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c7ca42-7fe9-4e31-b0ba-49f239dff920 · outbound

This paper cites epochs per update.

Reinforcement Learning via Implicit Imitation Guidance epochs per update

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:46.651015Z

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.

Observation fe3a2452-6743-4417-a163-f222b9a72661 · outbound

This paper cites worse", which are successful demonstrations collected by inexperienced operators to incorporate additional diversity. Note that even though it is labeled.

Reinforcement Learning via Implicit Imitation Guidance worse", which are successful demonstrations collected by inexperienced operators to incorporate additional diversity. Note that even though it is labeled

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:46.640381Z

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.

Observation 532c19c2-6b0f-4037-997e-8780c6c955fc · outbound

This paper cites Imitation Bootstrapped Reinforcement Learning.

Reinforcement Learning via Implicit Imitation Guidance Imitation Bootstrapped Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.332349Z

Source-reported events for the cited work

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Observation 06c7343a-0aec-4818-8248-c1f59cbebcfd · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Reinforcement Learning via Implicit Imitation Guidance Offline Reinforcement Learning with Implicit Q-Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.336559Z

Source-reported events for the cited work

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Observation b2329927-ac49-4b9c-b574-274bd0fd61ed · outbound

This paper cites Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias.

Reinforcement Learning via Implicit Imitation Guidance Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.344696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13b6330-ea3a-4e6e-8793-87762ccd29da · outbound

This paper cites Over- coming exploration in reinforcement learning with demonstrations.

Reinforcement Learning via Implicit Imitation Guidance Over- coming exploration in reinforcement learning with demonstrations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:46.673242Z

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.

Observation 2d76a449-f55e-45b6-9a25-4fe50f74881b · outbound

This paper cites Computational Theories of Curiosity-Driven Learning.

Reinforcement Learning via Implicit Imitation Guidance Computational Theories of Curiosity-Driven Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:46.541101Z

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.

Observation aeaa12dd-e2cd-41c4-8703-41c978fb7710 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Reinforcement Learning via Implicit Imitation Guidance Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.368469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a60e0dd-1666-43bd-8c84-0e5cc8d313af · outbound

This paper cites Schmidhuber.

Reinforcement Learning via Implicit Imitation Guidance Schmidhuber

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:46.661903Z

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.

Observation 13036d68-8079-4468-a573-ac508a627241 · outbound

This paper cites Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.

Reinforcement Learning via Implicit Imitation Guidance Parrot: Data-Driven Behavioral Priors for Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.379573Z

Source-reported events for the cited work

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Observation 0b408ba0-19b1-410c-bd43-e0e121d4bbbf · outbound

This paper cites Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient.

Reinforcement Learning via Implicit Imitation Guidance Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.383535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4474229d-0083-4b59-87ee-9d01368b8b76 · outbound

This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Reinforcement Learning via Implicit Imitation Guidance Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.387296Z

Source-reported events for the cited work

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Observation 0066d2d0-370f-462f-b277-9688d2779557 · outbound

This paper cites Learning latent state representation for speeding up exploration.

Reinforcement Learning via Implicit Imitation Guidance Learning latent state representation for speeding up exploration

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:46.450428Z

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.

Observation 5da8b341-7bea-4905-9769-d2ff68f8c0dd · outbound

This paper cites Policy Expansion for Bridging Offline-to-Online Reinforcement Learning.

Reinforcement Learning via Implicit Imitation Guidance Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.395221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ab7d25-fb58-442a-b0b2-d46ed3aa6d56 · outbound

This paper cites Exploration by Random Network Distillation.

Reinforcement Learning via Implicit Imitation Guidance Exploration by Random Network Distillation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.319807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8c01a0-028f-4001-ae53-4883703f0cc9 · outbound

This paper cites Learning by Playing - Solving Sparse Reward Tasks from Scratch.

Reinforcement Learning via Implicit Imitation Guidance Learning by Playing - Solving Sparse Reward Tasks from Scratch

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:46.496733Z

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.

Observation 4197caaf-9d9d-41ea-b2dc-43b242038ebc · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Reinforcement Learning via Implicit Imitation Guidance AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.352606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084fe3ea-9951-45c1-9f97-44b59aa7afea · outbound

This paper cites Self-Supervised Exploration via Disagreement.

Reinforcement Learning via Implicit Imitation Guidance Self-Supervised Exploration via Disagreement

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.364579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.

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 59835236-da50-444b-87cb-09f63dc28f21 · outbound

This paper cites Efficient Exploration via State Marginal Matching.

Reinforcement Learning via Implicit Imitation Guidance Efficient Exploration via State Marginal Matching

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.340669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88953db2-4e1a-4aa0-8f4b-bd80c719fd01 · outbound

This paper cites Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.

Reinforcement Learning via Implicit Imitation Guidance Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.360602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e13b0c-c32f-4da1-9331-d149b31a9721 · outbound

This paper cites MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.

Reinforcement Learning via Implicit Imitation Guidance MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.328115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f7f7acb0-042e-4fab-b930-ab01711ff06d · inbound

EXPO: Stable Reinforcement Learning with Expressive Policies cites this paper.

EXPO: Stable Reinforcement Learning with Expressive Policies Reinforcement Learning via Implicit Imitation Guidance

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:12:05.252079Z

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.

Observation 912f030f-4650-4d47-b137-548db7d98738 · inbound

Value Flows cites this paper.

Value Flows Reinforcement Learning via Implicit Imitation Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:27.929388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73bb73d3-8468-4d6c-b222-9bd2e736b647 · inbound

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving cites this paper.

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving Reinforcement Learning via Implicit Imitation Guidance

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:59:59.505114Z

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.

Observation 740ec016-c10b-4d8c-b869-42282c0b9244 · inbound

Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation cites this paper.

Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation Reinforcement Learning via Implicit Imitation Guidance

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:57.992073Z

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.

Observation 510bd843-417c-4782-93d9-602cb0adf3fb · inbound

Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation cites this paper.

Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation Reinforcement Learning via Implicit Imitation Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T00:08:53.253285Z

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Observation 2eee268b-bfe8-4404-b5b0-805b788a900a · inbound

FASTER: Value-Guided Sampling for Fast RL cites this paper.

FASTER: Value-Guided Sampling for Fast RL Reinforcement Learning via Implicit Imitation Guidance

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:48:27.234174Z

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.

Observation 6dc67857-44d7-4bbf-85f2-b9e352933bc6 · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? Reinforcement Learning via Implicit Imitation Guidance

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:22.032376Z

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Observation 49b28c9e-8205-4ea0-b167-2c60e716a353 · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? Reinforcement Learning via Implicit Imitation Guidance

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:43.858412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.