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Paper Citation Record · LEDGER

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation

As of 7 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2508.06806.

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

pith.paper-citation-record.v1
2508.06806 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:37:08.003982Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:55:12.531822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:55:24.152630Z

Reference resolution

10 of 10 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0da5f9c0-2839-46d2-a002-f5ddc06991b6 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Off-policy deep reinforcement learning without exploration

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:37:09.441709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.399173Z digest=sha256:200d90e0d3309aebf5e1504e22452190a67da288a0d7b9d034bf190e23bd5fa3

Observation 8615e737-9385-4275-b8be-c9e09516ae10 · outbound

This paper cites an unresolved cited work.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:37:08.981087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.923148Z digest=sha256:392f34789ab1de1ef16c9c59eaf13859bd511ffb8037b1dd3e310aea2bc572f6

Observation 9adc9050-60bc-4126-9ebe-bafd4c3e1bd9 · outbound

This paper cites The introduction of the diffusion model does indeed entail an inevitable increase in computational and time costs.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation The introduction of the diffusion model does indeed entail an inevitable increase in computational and time costs

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:37:08.783491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:08.003982Z digest=sha256:ffdfbdd9e4d0e6f0d1b314cd1796d37173d632a91546b6beeecfc047c01a2a64

Observation 5d6a04d9-726f-43a1-b044-bfcc6eea9873 · outbound

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

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 1997

Resolution
unresolved
no resolver link, observed 2026-08-05T22:37:07.761933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:37:07.761933Z digest=sha256:31260f1ffcc3eebfe7ca71e42ed3e164c3a70b2e03952ea30a981d7ca2f67e24

Observation 57fdf3dc-3992-4fd9-88e9-bfd66f8c94dc · outbound

This paper cites and Salimans, T.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation and Salimans, T

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:37:09.299495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.561673Z digest=sha256:ddf930dbff2ff729028ed589610b5c84b836475dc0f652a67e45b28aab0b9758

Observation 2341c942-e78d-4cd4-9fe8-384f1467f4dd · outbound

This paper cites A simple unified uncertainty-guided framework for offline-to-online reinforcement learning.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation A simple unified uncertainty-guided framework for offline-to-online reinforcement learning

Reference 2019

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:37:08.586372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.480592Z digest=sha256:171c2a29bdd63f01910e942f4fd673b48d8c439dd2c1d836ecdf4065906ce8a9

Observation 6dca92d4-912f-4e29-b559-c8be87659144 · outbound

This paper cites Enhanced Experience Replay Generation for Efficient Reinforcement Learning.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Enhanced Experience Replay Generation for Efficient Reinforcement Learning

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:37:08.233521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.665683Z digest=sha256:1b30670d5b48d52720d59b4f67549522da383c87ad4eeca510571fda5d4090c6

Observation 9f8e5015-ea36-41d8-86d5-011f26bad814 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T22:37:07.352591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:37:07.352591Z digest=sha256:df170e481dc399a3ad23e54f92deb7742a70719aaf9be6e2f1a6c3147d6e3363

Observation 74039891-a03b-4dbb-8246-54ddda81f62a · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T22:37:07.715232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:37:07.715232Z digest=sha256:e558f4cc8da24ed85e0149959262222ca0a901f89f5eef5d0b52f82ef88dee24

Observation 57ad7e75-35be-46c8-9b0c-95894997b365 · outbound

This paper cites V ., Tan, S.

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation V ., Tan, S

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:37:09.193702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:37:07.808259Z digest=sha256:dac1e1bbb35eadfe551ea185349ea795ab030fe716501176d473743db53ac2bc

Pith citing papers

Observation e6f1a1c7-c626-40ca-b85c-f6267f569c39 · inbound

Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation cites this paper.

Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:55:24.154727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:55:12.531822Z digest=sha256:a256e2ce9af9fbbb5604d5f6fe67a9e81e3f28e85acae143336ddac26dea1566