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Paper Citation Record · LEDGER

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2012.09092.

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

pith.paper-citation-record.v1
2012.09092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:26.359895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:16.028655Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 475e30ba-9c06-4a52-8048-32a76d846e70 · inbound

RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations cites this paper.

RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T12:44:26.359895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:44:26.359895Z digest=sha256:44a075be61b44f43b3238b6e9562492d412cf112b14ec64a0f2b1628ff29b8f6

Observation 6f0d2924-1a90-4a37-a9ef-430c24add48c · inbound

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning cites this paper.

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T15:02:44.174575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:02:44.174575Z digest=sha256:b4c5e6e474f08b22bcb56e2efb9ebdaec8ca20f0c239b8c38466ba811401f47f

Observation dcdf0134-dc06-4ec0-bf88-33cacf8c9b05 · inbound

Robust Counterfactual Inference in Markov Decision Processes cites this paper.

Robust Counterfactual Inference in Markov Decision Processes Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:15:34.051865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T08:12:09.352914Z digest=sha256:25189475014558447f66e948208981acbc5065c26718d77cea85777f3147e928

Observation 6a00670c-198b-4091-bf9c-add0d4f96c27 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:30.899293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:30.899293Z digest=sha256:70a9f89521eea22fc83273eb6845db767fdf44459c85318b17927433bba1b819

Observation 618b05ec-1f6f-4244-83ba-f32323e17a70 · inbound

PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.

PlayWorld: Learning Robot World Models from Autonomous Play Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:05:54.537514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T14:05:32.112432Z digest=sha256:5bf2288e7811b9c5e1de2b8a8c5bf09416ad8f618d40070d329043e9f89f7e25

Observation 1106de78-35d2-4122-b58f-8cf7720dbee3 · inbound

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making cites this paper.

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 234

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:59:01.943752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T20:54:31.025488Z digest=sha256:3d14386c55853bc68d97d1b7656b1e606456b42eb01931df157ccd5d902fec8d

Observation 1be69628-62ac-4cfe-837a-f1bb61d3e937 · inbound

Counterfactual Transport Flows for Offline Conservative Trajectory Refinement cites this paper.

Counterfactual Transport Flows for Offline Conservative Trajectory Refinement Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.688520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T17:33:35.857240Z digest=sha256:0408f51323f89cdac18967e717d2ae3cbecda0595120b345cdea4d38e4a58abb

Observation 2d8373cd-6720-4cd2-b9a7-a5a7a146cf20 · inbound

Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers cites this paper.

Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:29:16.032558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T21:10:51.682435Z digest=sha256:ce0f73b68fe696f73b4241df675ce87349c617a1c923646726406541adcb4f6f

Observation 97d58044-c58f-413a-b3ce-6a02db0bea04 · inbound

Counterfactual Residual Data Augmentation for Regression cites this paper.

Counterfactual Residual Data Augmentation for Regression Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:35:48.876222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-30T01:16:27.768898Z digest=sha256:454edc81502925e62d07585c3f5e16d63fb2884b29ab4b21cf0a13c00d08bc09