Paper Citation Record · LEDGER

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.13178.

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

pith.paper-citation-record.v1
2405.13178 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:25:26.813332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.183556Z

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 ffee8b5a-3d7e-499e-87d0-6535dd504417 · inbound

Instant Policy: In-Context Imitation Learning via Graph Diffusion cites this paper.

Instant Policy: In-Context Imitation Learning via Graph Diffusion One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T17:25:26.813332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedef1c6-6f8d-4ba5-9ce0-7ff7dcfbaa1a · inbound

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence cites this paper.

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T19:04:22.412491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61044ea-c82c-4080-8904-4a688f594a79 · inbound

Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing cites this paper.

Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.485970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49dae08a-226d-41f1-be8b-b25d39c776a1 · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.446018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d85d130-6026-4c32-ab6d-56fc18fa40ba · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.185195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa3df02c-b46e-4e62-9b8e-be4467483b82 · inbound

Behavior Prompting Policy: Demonstrations as Prompts for Manipulation cites this paper.

Behavior Prompting Policy: Demonstrations as Prompts for Manipulation One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.803095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.