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Paper Citation Record · LEDGER

Learning Getting-Up Policies for Real-World Humanoid Robots

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.12152.

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

pith.paper-citation-record.v1
2502.12152 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:03:16.864242Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:55.640109Z

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 c8d47806-cb2d-44ab-ae2c-ae5f88dac46d · inbound

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge cites this paper.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:42:41.452704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T15:42:41.363422Z digest=sha256:d5a20637c10a330f95caf0b06e386135f866c6dd47db7b4b395e97a1713b1192

Observation a5311bb4-40e2-4efc-ba7e-72fbee402c2f · inbound

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control cites this paper.

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:31:31.923334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T12:27:16.448513Z digest=sha256:8a43ba8983742035e9ea0580d55636bef4eed94cc7118dc29ab2253a674b2b68

Observation cfdddd28-78ae-4026-859e-72a1198caba4 · inbound

RecoverFormer: End-to-End Contact-Aware Recovery for Humanoid Robots cites this paper.

RecoverFormer: End-to-End Contact-Aware Recovery for Humanoid Robots Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:36:15.672358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:22:24.927334Z digest=sha256:683d0e8d6869935e84bbba6fd853fe72a84a834539277f8dea4172ec2e8dc199

Observation c8629da0-284a-4424-a0a1-1b4d58ed662f · inbound

Unified Walking, Running, and Recovery for Humanoids via State-Dependent Adversarial Motion Priors cites this paper.

Unified Walking, Running, and Recovery for Humanoids via State-Dependent Adversarial Motion Priors Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:08:10.114877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T09:04:24.080187Z digest=sha256:a78bd46249ea1505f8b9bab28c1b0b290eaa8345fe6bd7149c43cb31d6debbb3

Observation 88f4cf1a-adf4-496b-89ff-955c5f6cbf11 · inbound

M3imic: Learning a Versatile Whole-Body Controller for Multimodal Motion Mimicking cites this paper.

M3imic: Learning a Versatile Whole-Body Controller for Multimodal Motion Mimicking Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:48.386166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T06:09:37.011210Z digest=sha256:72feeb9a513f6910759b92ade69647d389105542b6bf309a08be63fac8f59b4d

Observation 88d3bb9d-7c6a-4ea3-8b77-33d61ddbafa6 · inbound

Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids cites this paper.

Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.126869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T07:12:30.661084Z digest=sha256:7583d41ed615ca040e843497a1f9c75a9cec7e2556f8da7083f37e44693747a2

Observation 7e5340f0-dee3-45a4-8f1e-dbb84b619fa6 · inbound

OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation cites this paper.

OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:59:55.641588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T02:02:14.858734Z digest=sha256:8ed48939ebb51ff7225735df57b661be8dbae32f70a3f9a6e2209faca0282c52

Observation 32f2214c-b353-4c56-99c8-1942743c8037 · inbound

Scaling Behavior Foundation Model for Humanoid Robots cites this paper.

Scaling Behavior Foundation Model for Humanoid Robots Learning Getting-Up Policies for Real-World Humanoid Robots

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T00:03:16.864242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:03:16.864242Z digest=sha256:7c3fc8dffa2368a905409271c8dbcc18d6e880a59fb58d28d7aba6530e7dd7cf