Pith. sign in

Paper Citation Record · LEDGER

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.09678.

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

pith.paper-citation-record.v1
2106.09678 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:24.778964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:38:00.703913Z

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 cc39b8e2-58db-4b56-b242-ed5ab66f5ef7 · inbound

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation cites this paper.

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:38:00.707101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T23:38:00.611856Z digest=sha256:3f5dbe99c73e08560275245c59600ea232719457fcf08704bbcbd2fb27f686ec

Observation 71927057-6392-4787-b742-c60ed25832a1 · inbound

Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation cites this paper.

Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:24.778964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:24.778964Z digest=sha256:1732393c1d692c10e35353d0cef66ecdc4f277ccc5334825cc25eb0f1629a13f

Observation f457fbb9-1ede-4125-8d00-967aa58b1360 · inbound

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning cites this paper.

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T10:47:32.846094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:32.846094Z digest=sha256:428500498cd4f1f8bfae1ef25fc0808096aeb3f7e287163f2a5f510610082d18

Observation ac793bc0-ca7d-4b82-ae2c-4eba03993784 · inbound

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions cites this paper.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:33.301354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:46:33.301354Z digest=sha256:5e4f076ab1a0a1e303952121eec3a0d27b75c447647a409ee5557c904a2f5380