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Paper Citation Record · LEDGER

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.05985.

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

pith.paper-citation-record.v1
2506.05985 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:14.019583Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:08:36.771491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T20:08:37.260082Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved19
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faebdf96-20f4-4a15-a7d9-a923d652f00a · outbound

This paper cites Similarly, in Figure 15, the vision encoder reuses previously learned expert but the fusion sub-module learns a new expert to effectively fuse features for manipulation.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Similarly, in Figure 15, the vision encoder reuses previously learned expert but the fusion sub-module learns a new expert to effectively fuse features for manipulation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.210175Z

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 9d9f684b-5a95-4aef-bd72-3481dfa143ea · outbound

This paper cites Each task provides 50 successful expert demonstrations for imitation learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Each task provides 50 successful expert demonstrations for imitation learning

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.249981Z

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 7e158a21-6ac9-4534-97dd-2ecfb56ce3df · outbound

This paper cites The selected parameters are then fine-tuned and frozen to prevent forgetting.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning The selected parameters are then fine-tuned and frozen to prevent forgetting

Reference 4

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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 ae380c47-ae02-4546-aa56-efa91002d76c · outbound

This paper cites (a) Different task orders (b) Different rank sizes (c) Different number of demonstrations.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning (a) Different task orders (b) Different rank sizes (c) Different number of demonstrations

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.230457Z

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 ab65006f-a726-4c29-9dea-01d5ea37b43d · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 6

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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 262fe0d2-39e4-4fb9-83af-816448dca926 · outbound

This paper cites Foundation Models in Robotics: Applications, Challenges, and the Future.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 7

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no resolver link, observed 2026-08-07T10:21:13.931543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.931543Z digest=sha256:db386fa5d560cc1063c66e549fea3c5274860328bce4d997ed26ecf2b8a5bf9d

Observation 666dd2c5-4cb6-4d6a-9370-60442c4225e7 · outbound

This paper cites Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Reference 9

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no resolver link, observed 2026-08-07T10:21:13.939127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.939127Z digest=sha256:1984ce90e8969627390f67ca6b1dd48072c9408c2a81c2326e1f0b1c185d19d9

Observation 72486f8f-63f8-4be6-b4e4-157b4327b7bc · outbound

This paper cites MoE-Loco: Mixture of Experts for Multitask Locomotion.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning MoE-Loco: Mixture of Experts for Multitask Locomotion

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:21:13.942678Z digest=sha256:e00284627207bbf3581ac24ef0de15cf4f6300176996ade58070c21b4bfb8423

Observation af694992-387c-456d-810d-d8900ebf9297 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning The power of scale for parameter-efficient prompt tuning

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.331906Z

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 37cc29f1-2522-4070-9953-36d3d3ff7d20 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36, 2024a.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36, 2024a

Reference 13

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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 50ddd803-6245-4993-a97d-32c718df10c7 · outbound

This paper cites Progressive prompts: Continual learning for language models.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Progressive prompts: Continual learning for language models

Reference 14

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raw_fallback, observed 2026-08-07T10:21:14.305329Z

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 3c4e727f-76d6-4ee5-87e3-84e099326330 · outbound

This paper cites Don't forget, there is more than forgetting: new metrics for Continual Learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Don't forget, there is more than forgetting: new metrics for Continual Learning

Reference 15

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no resolver link, observed 2026-08-07T10:21:13.958542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.958542Z digest=sha256:ab944111a97dbb9680b27bf5e2ce7a7142ff1cb6eac52e30c7649b470c84defc

Observation d630e9a2-324a-4941-9c50-8ecf043312d4 · outbound

This paper cites Orthogonal subspace learning for language model continual learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Orthogonal subspace learning for language model continual learning

Reference 17

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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 bc66adff-6d9d-4a04-bffa-131eef45de5e · outbound

This paper cites MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models

Reference 18

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no resolver link, observed 2026-08-07T10:21:13.968936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.968936Z digest=sha256:d27a8795eaad1717c792900cfdbdd977cb154e70ee1dd193366363b78caf7e77

Observation e758f1a4-1de9-4d13-9112-592ce0c88e90 · outbound

This paper cites Continual Learning with Pre-Trained Models: A Survey.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Continual Learning with Pre-Trained Models: A Survey

Reference 19

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no resolver link, observed 2026-08-07T10:21:13.972297Z

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Unavailable: canonical work link unavailable.

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Observation 3873ca35-9c57-4161-ac32-0434ecd17e6e · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 20

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no resolver link, observed 2026-08-07T10:21:13.975836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.975836Z digest=sha256:78ab79ecefd76677a6dc681faa4639b6b3448bb8f4e39c6b5f1c0f563439c725

Observation 3de4053d-062b-428a-8c94-09bfcca87fd0 · outbound

This paper cites We utilize the open-source CLIP ViT/B-16 model (Radford et al.,.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning We utilize the open-source CLIP ViT/B-16 model (Radford et al.,

Reference 21

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raw_fallback, observed 2026-08-07T10:21:14.287349Z

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 9b6f551f-5913-4dee-b8a7-2c8b6555fe18 · outbound

This paper cites Detailed hyperparameters of each sub-module are summarized in Table 1, most of them are naturally inherited from the open-source LIBERO benchmark and CLIP model.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Detailed hyperparameters of each sub-module are summarized in Table 1, most of them are naturally inherited from the open-source LIBERO benchmark and CLIP model

Reference 22

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raw_fallback, observed 2026-08-07T10:21:14.277718Z

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 7b2bd307-5096-4ef0-b9bc-b57b81d0977d · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 24

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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 a5ff0b10-d217-4dea-97ce-d7350acb990d · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 26

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

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Observation 6190fc72-7f70-4e68-8fdd-32a7e08ea235 · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 30

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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 bf0ce3df-85cf-46d2-bad5-66522d697ffb · outbound

This paper cites Figure 13: Visualization of the action trajectories from demonstrations of LIBERO-Object benchmark.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Figure 13: Visualization of the action trajectories from demonstrations of LIBERO-Object benchmark

Reference 31

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raw_fallback, observed 2026-08-07T10:21:14.190085Z

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 05a4a774-5363-4c63-ba22-7e15a1aece96 · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-07T10:21:14.179856Z

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 acd59c35-4c4d-4887-b4ea-f87c58a96474 · outbound

This paper cites Figure 20: Visualization of learning curves on the LIBERO-Object benchmark.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Figure 20: Visualization of learning curves on the LIBERO-Object benchmark

Reference 33

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raw_fallback, observed 2026-08-07T10:21:14.169824Z

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 5879ce0f-5cb7-49ba-8c08-887e78f57118 · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Unresolved cited work

Reference 100

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

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Observation f29359d5-b164-4af5-af46-e0aa16e7280f · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 1995

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no resolver link, observed 2026-08-07T10:21:13.909939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.909939Z digest=sha256:1e5757aaec5e6f430aa7861e6540b1a39d5aeadda6a3ff5ea8e25b72397ebdaf

Observation f940c010-c0fb-40e8-9b5f-6f7ee0b8616c · outbound

This paper cites Transformer adapters for robot learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Transformer adapters for robot learning

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.323147Z

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 cd37939f-c150-4425-8b92-52f72eb4a55e · outbound

This paper cites Progressive Neural Networks.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Progressive Neural Networks

Reference 2018

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no resolver link, observed 2026-08-07T10:21:13.961724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.961724Z digest=sha256:f998e8cd1af665f9db6f389fd25ebd0dc5d76de6f63314f313b2415b77427190

Observation 3d905273-bea6-4e6d-b324-7bfb8e66b4b1 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning On Tiny Episodic Memories in Continual Learning

Reference 2020

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no resolver link, observed 2026-08-07T10:21:13.927932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.927932Z digest=sha256:e041215dd0a98b88a9198befd2cce000e5da50eacd7b198a66ad6871f53846bf

Observation d815fd1d-5060-4885-b1f0-5f9cf865d353 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 2021

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unresolved
no resolver link, observed 2026-08-07T10:21:13.917659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.917659Z digest=sha256:00096fabaebebd41b7a5c572b5e5bffdc2c43f62a262eb9878182017c64207a8

Observation 93b4e7c3-4c4c-4e8f-a793-335515a7208f · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2022

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no resolver link, observed 2026-08-07T10:21:13.921233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.921233Z digest=sha256:a75fc49e54038d4ede694000a60d1cc5a4e9d35c9cf168f94117600d5c9e283e

Observation 1e017c7d-46ab-42bf-b34c-dcd74db134f8 · outbound

This paper cites Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877–1901,.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877–1901,

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.351144Z

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 f351c6b9-3556-400a-a137-2e3ee0eb65fa · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning On the Opportunities and Risks of Foundation Models

Reference 2024

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unresolved
no resolver link, observed 2026-08-07T10:21:13.914163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.914163Z digest=sha256:4c0dcf55258b66a0b4f416c9bad0979cbb9859b6de2242dbb0415f5e78bea001

Observation ef0c02be-ef49-472b-b4ca-28b98137657c · outbound

This paper cites Lightweight learner for shared knowledge lifelong learning.Transactions on Machine Learning Research,.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Lightweight learner for shared knowledge lifelong learning.Transactions on Machine Learning Research,

Reference 2025

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verified fuzzy
raw_fallback, observed 2026-08-07T10:21:14.341983Z

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=2026-08-07T10:21:13.935122Z digest=sha256:61e81ca792738600f2570a6159c7cb9404536f45caeadff668a43a8c4d52ad86

Pith citing papers

Observation 90d6e3a4-7a67-461b-adea-31302fe21074 · inbound

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation cites this paper.

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:08:37.312669Z

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=2026-08-07T20:08:36.771491Z digest=sha256:2fb60995ceda37bdd02d70aad2ca35882286198bdeb1ed9e3d69d000f43adf16