Paper Citation Record · LEDGER

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2303.05479.

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

pith.paper-citation-record.v1
2303.05479 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:48.684751Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5a72c9f9-25d9-4cd3-8297-40ae3677b6ed · inbound

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies cites this paper.

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T13:48:36.546560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e2f4430-3cb6-4f79-ba2e-f0e4e1694785 · inbound

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL cites this paper.

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:30:49.080017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eec1a04-7834-4338-9a1f-d1236ac599b9 · inbound

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

EXPO: Stable Reinforcement Learning with Expressive Policies Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:12:05.292036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2adbc48a-2a3c-45db-bf0d-8c4f4af71261 · inbound

Value Flows cites this paper.

Value Flows Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:32.788824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222bfb1f-dc4f-41aa-b86b-e3c9e3168564 · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:49:24.637798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7877499-b553-4699-8fdd-7c54170659ee · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5941674-a610-4f60-926a-b97dd5e8b5d2 · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:07.733485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43624b29-8338-4dd6-bbf1-d0b43600f1e9 · 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? Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:23.262314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc29c0e7-e20b-4a77-80af-d7e93fb93bb6 · 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? Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:43.913078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d804deb7-4e12-400c-afa3-de82047c4e78 · inbound

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search cites this paper.

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T01:24:21.079329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08462d50-7419-4e89-b53c-b58eebb7b978 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 190

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.088074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf1f8fd-8ac0-4cd9-b3fb-66f404bbb26a · inbound

Adaptation of Generalist Robot Policies with Minimal Data cites this paper.

Adaptation of Generalist Robot Policies with Minimal Data Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:48.684751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.