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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.399173Z digest=sha256:ae1047237ad373eaef3848a53d19d5481cc4f74a6db4387b9eaede37f847cafb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.923148Z digest=sha256:67a935449c5f6459025c9ac90a9b9c873e0ff02ce66f68adedc503b458f886c2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:08.003982Z digest=sha256:fde8e40aa04908261a06412f348be1bc273e6509fb8804eca393bb88745eacf6

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=sha256:239dd5320cccd56f48e798f119cefc4799019cdbb7001cb1d2432450a4b4a016

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.561673Z digest=sha256:0f17cc5881414b745f048e799e4301f2359ceed2c7bdeed2e85a9202fb4563ac

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.480592Z digest=sha256:35421972847bec36d01d4efd3f3d4e8d080f828efe15015030e7a9102749e9a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.665683Z digest=sha256:7539f934cda24a9d41ffe40b79bc8e5ddfff4f1f8528493b794ff2f80dbc4785

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=sha256:3b0766ec2e53f607d94c21ff686a3fc78f93befa2db1d951a84a5449a37d5a75

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=sha256:627ed46ea8d6a1c21ba41d78bc7e381a9d55ebdaa26dccc212f741b199aa45ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:37:07.808259Z digest=sha256:158f3b27a3c1c1103d2c2fb4bb69ee9631569e28c9556de5164adc753f74c15e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T12:55:12.531822Z digest=sha256:184bf91cd4633abdc4a1fefaf4bca610858e651d946956d442664a69972dcd9b