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Paper Citation Record · LEDGER

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.16013.

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

pith.paper-citation-record.v1
2401.16013 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 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:29:40.641563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:48:35.804876Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 d991f1a3-6ec4-42a9-b978-4fe163b283cb · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:48:14.947648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T08:48:14.776754Z digest=sha256:77aee96c09cb21a9ee34377dc1aac7fe84a8d733dd9ca7035e0f8b8482d7d4af

Observation 3ce9ed82-34a4-4b1d-b830-3d437840dd07 · inbound

Simulation-Aided Policy Tuning for Black-Box Robot Learning cites this paper.

Simulation-Aided Policy Tuning for Black-Box Robot Learning SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:29:40.641563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:29:40.641563Z digest=sha256:023196e261593b42a50a43a66a0a841340ee9982f3ad3c2f202a348d40b9be5e

Observation 1655020a-1f5f-4382-8ab7-52e3e1b95245 · inbound

Prediction with Action: Visual Policy Learning via Joint Denoising Process cites this paper.

Prediction with Action: Visual Policy Learning via Joint Denoising Process SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T11:29:20.684611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:29:20.684611Z digest=sha256:c5429c4571db5a02d4f665d36c47703d586e65dc9afa1a535cda5ef00b1d76ac

Observation 138703a3-34d6-46ef-be2f-35dbd4a812a9 · inbound

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data cites this paper.

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:00.805648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:00.805648Z digest=sha256:887b533efdcd09eedafbb7b8f902dad8d8cdd4ba003a2db03200b3418cb48ada

Observation 5e395ff8-c048-45d3-9100-51c08801f75f · inbound

Improving Vision-Language-Action Model with Online Reinforcement Learning cites this paper.

Improving Vision-Language-Action Model with Online Reinforcement Learning SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T11:39:56.236498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:39:56.236498Z digest=sha256:202a522729b33407e5b553d108e6d966b2e8c0ece9c59d7286fd38e38fbc4e05

Observation 17ad71ac-ea60-4e13-b93e-b56ce8ac5c77 · inbound

Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning cites this paper.

Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:55.390069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:55.390069Z digest=sha256:f6e419a9ce9b76f1e1f337da88cf1f5c1bad254035f14077a34c2b5d4f8f10fe

Observation ef2f7635-d2b4-47f7-8b4f-41571e71225a · inbound

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity cites this paper.

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:50.046835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:50.046835Z digest=sha256:1bf8d20ec7d9dae357666332422c917dc94b853c7e244cc5a8cd08b0fd1b27bf

Observation 2f6c16c4-2070-4b18-99bd-b7491fe0df93 · inbound

Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation cites this paper.

Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:08:35.969977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:08:35.969977Z digest=sha256:dc27ed742f62d24caa1373cd1b85650faa9a8f8badddb8201fed31fd42134635

Observation 9e3790b2-9ba3-4b4f-b199-b332c6ae941e · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:06.162466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:06.162466Z digest=sha256:24eb0f4cabdebf4728c0e41b3a98421467f3d8c3080b65d755bfb7610df287e2

Observation 257f1160-2502-46af-9abf-89bc6d9b1436 · inbound

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation cites this paper.

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T20:06:55.965466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:06:55.965466Z digest=sha256:966f3bb1dd2427052c24b408b327d6241db730d421f0a76daebc3c655bfbcb41

Observation d0624eba-5175-4d75-9c5b-4bd98e51c873 · inbound

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models cites this paper.

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:13:59.906708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T22:10:08.682307Z digest=sha256:2e8992c2ed36436ee75ae3bc3e19e489ca4a076beb773e407f6bb0555ba3adfa

Observation 0f9bfae4-41d1-4474-92fd-578acbd6ac4a · inbound

Improving Robotic Generalist Policies via Flow Reversal Steering cites this paper.

Improving Robotic Generalist Policies via Flow Reversal Steering SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.806256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T06:20:19.209180Z digest=sha256:425f4475d0a26f732b2632c6bf365f9829f882a37a1bd380cb58bbd002851032