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Paper Citation Record · LEDGER

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:10:17.136520Z

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=sha256:26d7e9737b1271b6f5de1ee38e495d9b79f751fdd22d41945ff43db0d7de1a61

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=sha256:1974e86956854538f59d5d66c1dcaefed24aaee91d59a83658b88ed82bb73c6e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T08:12:09.352914Z digest=sha256:69fb762443827d8ec4e7f787dbb7f157d2355264227e3af3200e6245acf3ce6c

Observation c328c565-5c6b-477f-a40d-a1128442c3bf · inbound

Exogenous Isomorphism for Counterfactual Identifiability cites this paper.

Exogenous Isomorphism for Counterfactual Identifiability Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:17.136520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:10:17.136520Z digest=sha256:be07b88125d5f4169914d41a339bec184f41183be21a685451d8c286522932d0

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=sha256:0307e0b5612ac54126517fe22c63145d1f5c1d05731da6040e262c93d9ea7748

Observation a42cc374-a10d-4302-99a3-a6bb71d22573 · inbound

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation cites this paper.

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T17:58:49.514718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:58:49.514718Z digest=sha256:27ed15fbbc6d7ebb5450b26fb23e2e0a4286d95501b53710f6760609313c67ce

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T14:05:32.112432Z digest=sha256:9c5b4003a334a180e76473718f03b136373f6fdea4a26409ed79b835b049de31

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T20:54:31.025488Z digest=sha256:825b5ad80dc7d8c54c61778e4ecc9d4422d27ec4555153cd9d2e6e597cf3eeed

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T17:33:35.857240Z digest=sha256:e3773532c45bec2ee31e9efaf0015149377604ccd6580f6ffca5f59dac7c9545

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T21:10:51.682435Z digest=sha256:eafdd13ecabca2f694ff921909c009dbcbccfa2aad9b96d6f5e82bc60bab9b9e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T01:16:27.768898Z digest=sha256:6dbdb503a1398d07efa388cc87d3450f460793617dae63590e0a9571caf93778