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Paper Citation Record · LEDGER

Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.14606.

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

pith.paper-citation-record.v1
2402.14606 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:19:18.924685Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:54:22.177207Z

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 9c6c5695-e309-4556-879d-e509aa1df0cd · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:48:14.903087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T08:48:14.776754Z digest=sha256:16e21c833580445d6055504f059f3f9a1c4d3e82c5f4821107193621c908f7cf

Observation b0d97ae4-6ead-4a36-bc3f-5a334f983f77 · inbound

Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking cites this paper.

Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T05:19:18.924685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:19:18.924685Z digest=sha256:0576389b9427749941fe75b4ff865c30d94cc64d1c215bae0c675e3597060685

Observation 38bbce0c-77f6-4a76-9735-b63f261f02f5 · inbound

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies cites this paper.

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T05:48:48.158091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:48:48.158091Z digest=sha256:7bdbe1123444aba9efd31bb21f1475c573461e8d5eb9ec1b4a2ee842375f8b59

Observation 514e9f7c-26c6-4fb3-8eed-6fbfa7b8b663 · inbound

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling cites this paper.

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:27.847101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-29T13:33:03.368006Z digest=sha256:005c1caed62c71c425c79611a5c61c28e153c0e1d3b36bcbbce94817df990090

Observation b38109ca-39b7-45bb-8647-45c1c43b11ba · inbound

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies cites this paper.

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:22:24.696423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T17:19:36.722892Z digest=sha256:90707b8d89721ab292427023ffe6f7700add73f982ef9370ed39119fadbc0887

Observation ff783021-beda-4333-a9e4-cfff32c5875e · inbound

Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering cites this paper.

Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:54:22.179043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T07:49:04.825693Z digest=sha256:28215b5bb8091408686ffa255a1e3a49c57debbba4d64fbb1090787378823906

Observation 4a53453f-c588-4632-bb4c-4ba10236bceb · inbound

D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions cites this paper.

D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T08:51:56.692736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:51:56.692736Z digest=sha256:7bcb10ab970a3b18c609a924ef0e47bc0edda7d4768ef45b16642afc34964bf2

Observation 1b0be1b4-ae35-4492-b143-3d6e7db6b23b · inbound

Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling cites this paper.

Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T02:06:24.748224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:06:24.748224Z digest=sha256:81828c8931d1f1e4032d8a12ab73334ea90596427106614cd78fae6070ac11f2