Pith. sign in

Paper Citation Record · LEDGER

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.15245.

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

pith.paper-citation-record.v1
2110.15245 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:20:54.684330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:34:39.627224Z

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 f5753d1e-3268-4a57-a978-e838c250cc98 · inbound

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance cites this paper.

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:00:41.911874Z

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=2026-05-21T21:57:15.285757Z digest=sha256:1a3a431eaba1c9a9b572470c53233927463fc5dda9165ed34831e38f99b16202

Observation 77ad36f7-14de-427b-8258-9d5cc468f5b0 · inbound

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models cites this paper.

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:03.824350Z

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=2026-05-14T22:20:35.818770Z digest=sha256:c5992a8aef1ac4a7354ec67e54aae4aa12bceedd0d60a24cddfc550adf27f68b

Observation e530ed46-b029-4ad7-8531-1621c7257440 · inbound

VEOcc: Voxel-Centric Online Semantic Occupancy Prediction For Embodied Scene Understanding cites this paper.

VEOcc: Voxel-Centric Online Semantic Occupancy Prediction For Embodied Scene Understanding From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.628754Z

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=2026-06-30T12:06:52.443736Z digest=sha256:0cde785cde7d624bd891ef58578609b2049b59eae76073344b4f56194a1886b9

Observation 4dca98ab-d36b-4ffd-bed9-5b448f3b8bb7 · inbound

The Open Ant: A Robot Platform for Reinforcement Learning Research cites this paper.

The Open Ant: A Robot Platform for Reinforcement Learning Research From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:54.684330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:54.684330Z digest=sha256:c6ec463de7735280c91a3c76af2b1e14ab9850d4025fb070ee80c462d7e040c1