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Paper Citation Record · LEDGER

Natural Language Can Help Bridge the Sim2Real Gap

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.10020.

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

pith.paper-citation-record.v1
2405.10020 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:35.088310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:09.218504Z

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 52f8efa2-8ce2-4ba2-b1c7-65e567990673 · inbound

Grounding Intelligence in Movement cites this paper.

Grounding Intelligence in Movement Natural Language Can Help Bridge the Sim2Real Gap

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T20:25:32.433485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:25:32.433485Z digest=sha256:6a5a947f6ca995c01d7f4857c25f0406b61bd8a20e94d9ad302ae64ee152f620

Observation a361fe9b-aa7f-45ee-94c3-e84187f2ac8b · inbound

Foundation Model Driven Robotics: A Comprehensive Review cites this paper.

Foundation Model Driven Robotics: A Comprehensive Review Natural Language Can Help Bridge the Sim2Real Gap

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.385474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.385474Z digest=sha256:4d9745aeedd491f74d3d59b613c597fa64f66f228434a298e382aaf876bc9468

Observation ad28e0e1-8766-42f2-933f-e79a29a695ec · inbound

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks cites this paper.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Natural Language Can Help Bridge the Sim2Real Gap

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:51:35.088310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:35.088310Z digest=sha256:15966ab17dc49d8f6225b7883ce17e057a02656e2e29587c5531e5a60cba5fd7

Observation fb0b1bd3-feca-4835-b7d4-f03179d5f686 · inbound

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models cites this paper.

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models Natural Language Can Help Bridge the Sim2Real Gap

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-02T23:49:02.985771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:49:02.985771Z digest=sha256:ae318c81daa9efc732ed60f631a711d69ac06b098591739bfe39065e4a27decd

Observation db1f99e7-cfb8-4384-9e77-adcc98ca4b3f · inbound

The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective cites this paper.

The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective Natural Language Can Help Bridge the Sim2Real Gap

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:09.219844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T22:26:44.624473Z digest=sha256:92cb140a47ec83aa03f02966e0d681452f3c009d66b736743f8a93b036dcdde8