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Paper Citation Record · LEDGER

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.05165.

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

pith.paper-citation-record.v1
2506.05165 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:30.977630Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy13
  • unresolved7
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccd9ffa4-2bc1-47bf-b0ff-99bed665735e · outbound

This paper cites An algorithmic perspective on imitation learning,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies An algorithmic perspective on imitation learning,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.625324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4052d7a7-c275-4d18-a282-a30eae90e55d · outbound

This paper cites Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,

Reference 2

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raw_fallback, observed 2026-08-07T10:26:31.610866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 03bfd07e-86ac-4bba-a6e7-0478e784628a · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 3

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no resolver link, observed 2026-08-07T10:26:29.970078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:29.970078Z digest=sha256:eb9515e63c2f6cc4cb115f31533ed2c4c7e68f476e5efdc4f5e3dbb9274f2187

Observation 4dfb8358-7f13-429d-ab69-4a54d8474afd · outbound

This paper cites Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:30.041879Z digest=sha256:c3888f975cc5bd451495a389ced331db54d13ee846300f548449ee84830d1710

Observation a9cc9760-af2f-4f7d-aef5-426afb83594f · outbound

This paper cites Bi-act: Bilateral control-based imitation learning via action chunking with transformer,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Bi-act: Bilateral control-based imitation learning via action chunking with transformer,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.575806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.106914Z digest=sha256:36b61a25c6accf9c87eaa13b0f4e8499809eacb0f9b4e4c33f3e776506c4fbf6

Observation fd97465d-4b8c-4e61-ad43-b0b7ae6cee3b · outbound

This paper cites InterACT: Inter-dependency aware action chunking with hierarchical attention transformers for bimanual manipulation,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies InterACT: Inter-dependency aware action chunking with hierarchical attention transformers for bimanual manipulation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.561825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4f4349ea-c7f6-48c9-8f1a-c96ce4ecf075 · outbound

This paper cites Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.547081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation eaebd2c3-6413-4647-bdda-5d022d4e7f90 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 8

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source=pdf_text observed=2026-08-07T10:26:30.272418Z digest=sha256:556552c91d555e0f6df273e3ed15c33b812550ab39dcd76cbc41dc357b7c5685

Observation 3fa36afe-18a3-4936-8823-8877fc42c5d0 · outbound

This paper cites UMI on legs: Making manipulation policies mobile with manipulation-centric whole-body controllers,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies UMI on legs: Making manipulation policies mobile with manipulation-centric whole-body controllers,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.522363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1a7591d3-f8a9-49d5-ad12-504b8021e3cb · outbound

This paper cites Stomp: Stochastic trajectory optimization for motion planning,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Stomp: Stochastic trajectory optimization for motion planning,

Reference 10

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7dfef7bf-832d-407c-9bfd-4e23d8fc80d3 · outbound

This paper cites Chomp: Covariant hamiltonian optimization for motion planning,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Chomp: Covariant hamiltonian optimization for motion planning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.497390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.434999Z digest=sha256:6e95dfcfeeb5dae2e3c25a309c3c0b013c485b0763bdc102e73add056e96e5fc

Observation 00dc2678-52b2-4d7b-8dda-8ce7e40e36ce · outbound

This paper cites On learning, representing, and generalizing a task in a humanoid robot,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies On learning, representing, and generalizing a task in a humanoid robot,

Reference 12

Resolution
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no resolver link, observed 2026-08-07T10:26:30.505178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:30.505178Z digest=sha256:bbc118c45ccd9aef6390ed330d791e6fdc129b4b5d4dc7aeea1daa9ce55b0e33

Observation d7671e0b-bfba-4e52-bce4-60e3a3f93d12 · outbound

This paper cites Minimum jerk for trajectory planning and control,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Minimum jerk for trajectory planning and control,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.472690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b5fffe2f-7516-4dbc-90b1-9d2c96f69b88 · outbound

This paper cites Global minimum-jerk trajectory planning of robot manipulators,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Global minimum-jerk trajectory planning of robot manipulators,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.454821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.620226Z digest=sha256:419620a2ddfbcc82634b2aa7aeb261595109cac62c0febea0a5a38f704b7da4e

Observation d148b747-df1d-405e-9f31-0f0f413e438e · outbound

This paper cites Global minimum-jerk trajec- tory planning of space manipulator,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Global minimum-jerk trajec- tory planning of space manipulator,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.439657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.679433Z digest=sha256:8d2b81530bf7fd5363b4ed70595b51f7b4a57a48d5a2b11e780221dc8c7d523f

Observation 9e9c9242-eb23-4f3c-a3cd-87dfb86b63a0 · outbound

This paper cites Smooth trajectory planning for a parallel manipulator with joint friction and jerk constraints,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Smooth trajectory planning for a parallel manipulator with joint friction and jerk constraints,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.425386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.713265Z digest=sha256:7dad6498f6673d76e192c5c3947fe8a6fff9f8058ea84b755380477b30583a71

Observation 95baf17b-3cc1-4f40-a126-1562b92d1ac2 · outbound

This paper cites On the performance of jerk-constrained time-optimal trajectory planning for industrial manipulators,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies On the performance of jerk-constrained time-optimal trajectory planning for industrial manipulators,

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T10:26:31.328613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.800555Z digest=sha256:673d9516879f23dc608f534e5e465f627b95ec4f49aadbb78289afe33427b770

Observation f36b4b6e-2b7a-42f8-8261-0cb0fc93075e · outbound

This paper cites ROBOTIS OpenManipulator-Y,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies ROBOTIS OpenManipulator-Y,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:26:31.213217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:26:30.861140Z digest=sha256:3716827801c9ddbc11279b8360472e292aea2e595b4a879d0642b82c6ab4e96f

Observation 87a526bf-35ed-4322-afc5-e5b9690d15e8 · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Clarabel: An interior-point solver for conic programs with quadratic objectives,

Reference 19

Resolution
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no resolver link, observed 2026-08-07T10:26:30.929286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:30.929286Z digest=sha256:2a578966b58fac540c922b56f1559c822509c25488e736a71977f258afb1e84b

Observation f58c97b2-c165-4568-829e-c17d365cc0ea · outbound

This paper cites Lerobot: State-of-the-art machine learning for real-world robotics in pytorch,.

LiPo: A Lightweight Post-optimization Framework for Smoothing Action Chunks Generated by Learned Policies Lerobot: State-of-the-art machine learning for real-world robotics in pytorch,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:30.977630Z digest=sha256:f8e67739983ad28cb2d16a1f54559a892845ddf88381ac8cca8be81aa24d461a

Pith citing papers

No inbound Pith citation observations are available.