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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:03:25.442479Z

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 0f0b6214-a85d-420a-b963-91b8af675681 · inbound

Ark: An Open-source Python-based Framework for Robot Learning cites this paper.

Ark: An Open-source Python-based Framework for Robot Learning From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:03:25.442479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:03:25.442479Z digest=sha256:14d643bb64048de6ad2e822049a3fac5fb223c7dfe57b31f1398873eb89be351

Observation c80605fc-c556-4eba-bfd5-73ef270fdf5f · inbound

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics cites this paper.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.534958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.534958Z digest=sha256:e8284427f160bb731d2735dc5de835c85a1b0439dfb1b3f232e9cd5c787d981f

Observation a9fde74e-668b-4f48-bf5f-efb072057b4b · inbound

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos cites this paper.

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:17.403330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.403330Z digest=sha256:33bd5c9761264ec0b52f47c86c0daa510d43a4b91fd15e914cd29d61fef14136

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T21:57:15.285757Z digest=sha256:adf4df3a0982e2fcd8f42e01f5201bb49de3789073f810ba5f2d806b7373ccb2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:20:35.818770Z digest=sha256:42670f7d491246574b214fc6b379747e1a56f69218b325f29e4d0a627c04365b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T12:06:52.443736Z digest=sha256:cf447a04f5947bda461e5bedf4edc188b6bcacdb324fd0ef156ae2fde27c4a18

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