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Paper Citation Record · LEDGER

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory

As of 22 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2501.10395.

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

pith.paper-citation-record.v1
2501.10395 v1

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:33:32.828251Z

measured 100 of 100 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 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

100 of 126 outbound references displayed

  • verified exact3
  • verified fuzzy22
  • unresolved74
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff990a6a-dff6-41c6-870b-ae72701135b0 · outbound

This paper cites GPT-4 Technical Report.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory GPT-4 Technical Report

Reference 1

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Observation 5317ee79-0a59-4c44-8afc-2aa350dace34 · outbound

This paper cites Uncertainty-based continual learning with adaptive regularization.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Uncertainty-based continual learning with adaptive regularization

Reference 2

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Observation b459c58f-8d61-4d01-8256-d4b2823a4704 · outbound

This paper cites April: Active preference-learning based reinforcement learning, 2012.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory April: Active preference-learning based reinforcement learning, 2012

Reference 3

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Observation aad3c434-e767-4328-aa62-d107b3a40d61 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory aware synapses: Learning what (not) to forget

Reference 4

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Observation 093320f0-0f34-424a-8a8d-1f7796febac7 · outbound

This paper cites Gradient based sample selection for online continual learning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gradient based sample selection for online continual learning

Reference 5

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Observation c17fd33d-c098-4b5f-9b59-49688ab57ee6 · outbound

This paper cites Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

Reference 6

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Observation 119bc178-f33e-45e0-8752-ac90b5ae9dec · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 7

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Observation 99452b38-f00f-4d79-8875-786cbc006383 · outbound

This paper cites Rainbow memory: Continual learning with a memory of diverse samples.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rainbow memory: Continual learning with a memory of diverse samples

Reference 8

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Observation 27ce2e1a-cac0-4015-9775-2be885c0c1e5 · outbound

This paper cites Working memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Working memory

Reference 9

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Observation 16a862f1-f400-4942-a303-42362b01e8eb · outbound

This paper cites Learning long-term dependen- cies with gradient descent is difficult.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning long-term dependen- cies with gradient descent is difficult

Reference 10

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Observation 55b142e1-c516-4f19-b41c-a63191d69026 · outbound

This paper cites Credit assignment through time: Alternatives to backpropagation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Credit assignment through time: Alternatives to backpropagation

Reference 11

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Observation fc043205-9c98-487a-9494-516352fb3489 · outbound

This paper cites Improving image generation with better captions.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improving image generation with better captions

Reference 12

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Observation 473be620-7080-453d-afaf-c58137912244 · outbound

This paper cites Recurrent memory decision transformer.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Recurrent memory decision transformer

Reference 13

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Observation 69011bb2-6747-4d82-b738-32155a0b4a8a · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 14

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Observation 65b1b225-22d0-4bbd-982e-eaa266e9a48e · outbound

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

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 15

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Observation befc5cc1-7963-48ba-9bde-7ca16a1d7088 · outbound

This paper cites Burtsev, Yuri Kuratov, Anton Peganov, and Grigory V.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Burtsev, Yuri Kuratov, Anton Peganov, and Grigory V

Reference 16

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Observation 86385ba7-0152-4b1a-a38f-81dd0ce86754 · outbound

This paper cites Language Models are Few-Shot Learners.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Language Models are Few-Shot Learners

Reference 17

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Observation 48dd22c6-68fc-4956-be9f-ca90023a7e34 · outbound

This paper cites An interactive framework for learning continuous actions policies based on corrective feedback.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory An interactive framework for learning continuous actions policies based on corrective feedback

Reference 18

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Observation 35149113-dcef-49ee-a9a8-0615a8ac0797 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Dark experience for general continual learning: a strong, simple baseline

Reference 19

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Observation c289cf01-ac03-4f46-9b07-11362317f318 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 20

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Observation 5462b419-33a5-4e51-91d2-664607b418cd · outbound

This paper cites Abbeel, A.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Abbeel, A

Reference 21

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Observation f5fb7935-79eb-4446-a7e2-243c9d67221f · outbound

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

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Diffusion policy: Visuomotor policy learning via action diffusion

Reference 22

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Observation 16c48ef7-5a52-47a3-b811-8b765277d97b · outbound

This paper cites Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Reference 23

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Observation 1b3d6386-71c2-47b8-84ed-877d45ac2eda · outbound

This paper cites Brown, Miljan Martic, Shane Legg, and Dario Amodei.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Brown, Miljan Martic, Shane Legg, and Dario Amodei

Reference 24

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Observation 1b6a909a-d133-4314-841b-a0044dffdd61 · outbound

This paper cites Learning phrase representations using rnn encoder-decoder for statistical machine translation, 2014.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning phrase representations using rnn encoder-decoder for statistical machine translation, 2014

Reference 25

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Observation f1ac3f0b-8a53-467c-b00c-455028c98b0b · outbound

This paper cites What are the differences between long-term, short-term, and working memory? Progress in brain research, 169:323–338, 2008.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory What are the differences between long-term, short-term, and working memory? Progress in brain research, 169:323–338, 2008

Reference 26

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Observation d4f5d860-7a1c-4236-a973-53f85bbabb4e · outbound

This paper cites Turning the Flywheel: A Monograph to Accompany Good to Great.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Turning the Flywheel: A Monograph to Accompany Good to Great

Reference 27

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Observation 1620fa6f-887c-4df0-a9c7-5675cf09dddf · outbound

This paper cites Deep transformer q-networks for partially observable reinforcement learning, 2022.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep transformer q-networks for partially observable reinforcement learning, 2022

Reference 28

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Observation bc83d943-d205-4a73-bd3e-1035dbd2c989 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Diffusion models beat gans on image synthesis

Reference 29

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Observation 633453de-e42c-4c25-ab65-b6e3d29a1ad9 · outbound

This paper cites Andrej karpathy on Tesla AI data en- gine.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Andrej karpathy on Tesla AI data en- gine

Reference 30

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Observation 717e304b-8fec-494d-ae37-fbc224c57806 · outbound

This paper cites Gener- alization of reinforcement learners with working and episodic memory, 2020.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gener- alization of reinforcement learners with working and episodic memory, 2020

Reference 31

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Observation f0e5fe83-3622-4561-8818-5fe31dd2231b · outbound

This paper cites Cril: Continual robot imitation learning via generative and prediction model.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Cril: Continual robot imitation learning via generative and prediction model

Reference 32

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Observation acc5b71b-303e-48a1-afb3-abf7aec23b33 · outbound

This paper cites HumanPlus: Humanoid Shadowing and Imitation from Humans.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory HumanPlus: Humanoid Shadowing and Imitation from Humans

Reference 33

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Observation fc7041b0-16b0-450f-b414-3ffa2ac2ab7d · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Neural turing machines, 2014

Reference 34

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Observation 3e75f67a-89e0-4ae2-9475-bfa370f629fe · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Generative adversarial networks

Reference 35

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Observation 16ee7dad-12d5-43e7-84f7-22a1d1e10df5 · outbound

This paper cites Rt-trajectory: Robotic task generalization via hindsight trajectory sketches, 2023.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rt-trajectory: Robotic task generalization via hindsight trajectory sketches, 2023

Reference 36

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Observation ea074473-3e73-4d48-97b2-391dd1ba0879 · outbound

This paper cites Hybrid computing using a neural network with dynamic external memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Hybrid computing using a neural network with dynamic external memory

Reference 37

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Observation 1facb76f-b543-46ed-b490-eb46182614c5 · outbound

This paper cites Learning latent dynamics for planning from pixels, 2019.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning latent dynamics for planning from pixels, 2019

Reference 38

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Observation c48c8c0b-c5d6-4b67-be80-c090ca338c90 · outbound

This paper cites Improved training of wasserstein gans.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved training of wasserstein gans

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Observation 1b56e197-b0f9-45ae-b42b-f4aacd7094d3 · outbound

This paper cites Generative adversarial imitation learning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Generative adversarial imitation learning

Reference 40

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source=pdf_text observed=2026-08-10T23:33:31.845956Z digest=sha256:f310e91eb28030dbee65571d257e5977223d59e7e476909039dc77b106744976

Observation b894f530-e200-4d1f-87b1-35eb331a5893 · outbound

This paper cites Deep recurrent q-learning for partially observable mdps, 2017.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep recurrent q-learning for partially observable mdps, 2017

Reference 41

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source=pdf_text observed=2026-08-10T23:33:31.841738Z digest=sha256:ff6e22994838e8886ea6ba7fabeb7c4492572d644d3f8eeba2cc0d1a1e4e2f96

Observation 5687dc26-1bc2-47c4-8dc5-dd0b6ae8348f · outbound

This paper cites Long short-term memory.Neural Compu- tation, 9:1735–1780, 1997.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Long short-term memory.Neural Compu- tation, 9:1735–1780, 1997

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source=pdf_text observed=2026-08-10T23:33:31.854163Z digest=sha256:68ca649f6e446f05ab2b18140b7dc26c13766de5e0eb291ea0e8f867af3dc1dc

Observation bcd93144-6541-4eab-8da8-64d09ae60ff9 · outbound

This paper cites Denoising diffusion probabilistic models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Denoising diffusion probabilistic models

Reference 43

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source=pdf_text observed=2026-08-10T23:33:31.850185Z digest=sha256:c9dbc822486660e8b95a36628332a01943c045560df7a938b42e14852e13ad4d

Observation 9bcba0a7-990d-4903-a7b6-2e4acc4b3c79 · outbound

This paper cites Re-evaluating continual learning scenarios: A categorization and case for strong baselines, 2019.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Re-evaluating continual learning scenarios: A categorization and case for strong baselines, 2019

Reference 44

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source=pdf_text observed=2026-08-10T23:33:31.862297Z digest=sha256:0ca1f265f6219f4a338c526a089d824f5f0fd482a86a858987e30a8a278ab6d8

Observation 0a7f7b5e-d789-414b-921e-dc84625f23de · outbound

This paper cites Training Compute-Optimal Large Language Models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Training Compute-Optimal Large Language Models

Reference 45

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source=pdf_text observed=2026-08-10T23:33:31.857827Z digest=sha256:5c6a3c80c5fd6b396eb28246bcad7fa08d456df397b2650a9a174e447aca6f61

Observation 2f43d31c-43f4-4399-a370-32f7d477ee21 · outbound

This paper cites Optimizing agent behavior over long time scales by transporting value.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Optimizing agent behavior over long time scales by transporting value

Reference 46

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source=pdf_text observed=2026-08-10T23:33:31.869995Z digest=sha256:ae7f0e4433924fd9e9a40bc0aa00a7a5a3bcb0c28e6f445cd60213a08bc4611b

Observation a07a90e0-c594-4b34-b18e-bc9d2b504536 · outbound

This paper cites Different ways to cue a coherent memory system: A theory for episodic, semantic, and procedural tasks.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Different ways to cue a coherent memory system: A theory for episodic, semantic, and procedural tasks

Reference 47

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source=pdf_text observed=2026-08-10T23:33:31.866158Z digest=sha256:22ed05235e5bb34895bd7b55f281db18cd39763fe7c3c2ff7a37be0f42490c6e

Observation 71d554a8-5d06-43e7-9c6d-e944984bdb69 · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Offline reinforcement learning as one big sequence modeling problem

Reference 48

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source=pdf_text observed=2026-08-10T23:33:31.877904Z digest=sha256:4982410555236350dd9dc549b69a032e56dbb0f05b7779d2d1147855a24decd6

Observation b3e5262a-7f54-4406-8d00-f46930cdd49a · outbound

This paper cites Deep variational reinforcement learning for pomdps, 2018.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep variational reinforcement learning for pomdps, 2018

Reference 49

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source=pdf_text observed=2026-08-10T23:33:31.873648Z digest=sha256:ba589a75a31445b8fc3643fd9c433d9f124db40219354d9d4885d9615284dad6

Observation 3046654f-2984-4348-81ce-328ac19b6866 · outbound

This paper cites Continual learning with node-importance based adaptive group sparse regularization.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual learning with node-importance based adaptive group sparse regularization

Reference 50

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source=pdf_text observed=2026-08-10T23:33:31.884669Z digest=sha256:bc3edbd71c47c934ee1a2823d942000d2890231ff97c04fb8e5e3d4ad18e9e8d

Observation d98e312f-c76b-40a1-9dcd-fcd19d02915d · outbound

This paper cites Inferring algorithmic patterns with stack- augmented recurrent nets, 2015.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Inferring algorithmic patterns with stack- augmented recurrent nets, 2015

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source=pdf_text observed=2026-08-10T23:33:31.881049Z digest=sha256:0d17b146b9fb22697bc3f0e1466cfa321ca44929ec663cc0551dafc76b85ce5d

Observation 9df72915-3c8a-42a7-9f81-12aca2284d09 · outbound

This paper cites Scaling Laws for Neural Language Models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Scaling Laws for Neural Language Models

Reference 52

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source=pdf_text observed=2026-08-10T23:33:31.892923Z digest=sha256:42faa88893f4c305eb07d7c597bfb6e105d2d875b3c0653988a7467c092b55b4

Observation 0c7c0f88-bd81-4392-8897-cbf4dda96c4b · outbound

This paper cites Think before you act: Decision transformers with working memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Think before you act: Decision transformers with working memory

Reference 53

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source=pdf_text observed=2026-08-10T23:33:31.888747Z digest=sha256:da997cae34f742e11b3d972ef452c411090eaf27ca385f7a73d173295ac74028

Observation e106a6f7-7759-407d-837b-686639aedd39 · outbound

This paper cites Mozer, Chris Pal, and Yoshua Bengio.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Mozer, Chris Pal, and Yoshua Bengio

Reference 54

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source=pdf_text observed=2026-08-10T23:33:31.900942Z digest=sha256:1664e339c43211a010a6670ca06ea9a2c8ce7957c545e8dc64e777bc4f013416

Observation 7c2f9a7d-bc06-4587-adf3-001fa4298977 · outbound

This paper cites Qmdp-net: Deep learning for planning under partial observability, 2017.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Qmdp-net: Deep learning for planning under partial observability, 2017

Reference 55

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source=pdf_text observed=2026-08-10T23:33:31.896944Z digest=sha256:526a4e0828e05b3913478c4b92a773a132572c8ebd22025d091520fa261aa71d

Observation 713b92a6-08df-47df-ba4c-dd73f73fe4b6 · outbound

This paper cites Auto-encoding variational {Bayes}.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Auto-encoding variational {Bayes}

Reference 56

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source=pdf_text observed=2026-08-10T23:33:31.909575Z digest=sha256:a4dcb271e6ae6c92994bf568591ff9b5111c5912a54cc938b54fd36f2cba6066

Observation 626162fd-08b5-4bcf-81a6-fe1f54d1852d · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 57

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source=pdf_text observed=2026-08-10T23:33:31.905090Z digest=sha256:0b31d9516f53a43e962827278254c4e917e4655ee5c44eeed16769ebab8b31d5

Observation a24a064d-3117-43be-99d4-eeb1be7340c5 · outbound

This paper cites Bradley Knox and Peter Stone.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Bradley Knox and Peter Stone

Reference 58

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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=2026-08-10T23:33:31.918292Z digest=sha256:973ac3b80e4c8eb31e6d525968770268549ae00096f8be08c0b2620a7bea9781

Observation dd3cb14f-2ffd-48b3-b234-a3811a17987c · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 59

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raw_fallback, observed 2026-08-10T23:33:34.715590Z

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=2026-08-10T23:33:31.914003Z digest=sha256:9bdb5145312be3138eff55f6207ac15cc7e59af20bc80cea9aca9b8f426bdac5

Observation 808ec263-b6a3-4741-8b42-d86be27994c3 · outbound

This paper cites Towards mental time travel: a hierarchical memory for reinforcement learning agents.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Towards mental time travel: a hierarchical memory for reinforcement learning agents

Reference 60

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

source=pdf_text observed=2026-08-10T23:33:31.941753Z digest=sha256:02e92d4aa36ce2738a703254e5e3df9ed9241c99bfcb089d16e6b8d4ea99a133

Observation b9c81dcd-e2da-4526-8084-1123e16c89bf · outbound

This paper cites McClelland.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory McClelland

Reference 61

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source=pdf_text observed=2026-08-10T23:33:31.922616Z digest=sha256:b0f0fc80b339021beb831e7c562cb960277f605dc23b699c94180acc271a732e

Observation 80c42d65-f117-4d01-9b52-5f2ad08ca332 · outbound

This paper cites Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsupervised pre-training, 2021.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsupervised pre-training, 2021

Reference 62

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

source=pdf_text observed=2026-08-10T23:33:32.042288Z digest=sha256:8e17f3624cffd2b88b95807ffd3d42bc2fefc72bdf29e8074098da911bedc8ba

Observation 2a87743b-a9e7-48f0-91bc-d843282c68a1 · outbound

This paper cites Gradient-based learning applied to document recognition.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gradient-based learning applied to document recognition

Reference 63

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source=pdf_text observed=2026-08-10T23:33:31.982627Z digest=sha256:dedbf36b6a42b5acde8a88bcbd662185cfda37cc2edf14b0cb2ab256cc060f31

Observation 80712f9f-c1aa-4223-9893-9a77b94e60c9 · outbound

This paper cites Psychobiology of active and inactive memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Psychobiology of active and inactive memory

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.648654Z

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=2026-08-10T23:33:32.204255Z digest=sha256:6a2bda7190b921b449186e5d4d30b1f759d589c0ce5a0c277b848effef9245ef

Observation f28214aa-043f-4d09-a81f-36bb9c959a04 · outbound

This paper cites The promise of generalist robotic policies.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory The promise of generalist robotic policies

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.660864Z

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.

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Observation 543b8080-fa23-48cb-ae4d-c2d0bf3b490e · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 66

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source=pdf_text observed=2026-08-10T23:33:32.301979Z digest=sha256:f848283518b3c8749366f3fc924e53d2daeb355a558d2a57d036332b6e581352

Observation ca65328f-97b3-4dd1-bde5-8fc3a6f6ad7c · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Longhorn: State Space Models are Amortized Online Learners

Reference 67

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source=pdf_text observed=2026-08-10T23:33:32.254902Z digest=sha256:5dc1a3204283fb6346b5aa89b5204cba6d25aaed53529860436cf50071067851

Observation dfb968cb-c25f-491f-bddf-4523f450e57b · outbound

This paper cites Continual Learning of Diffusion Models with Generative Distillation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Learning of Diffusion Models with Generative Distillation

Reference 68

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source=pdf_text observed=2026-08-10T23:33:32.310739Z digest=sha256:bac409f9ad84014626a0248a8616634e008266160d2f8f558e3368a155b288e5

Observation 7b10a3ed-b220-4f44-bc14-a411e3c6ea13 · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Packnet: Adding multiple tasks to a single network by iterative pruning

Reference 69

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no resolver link, observed 2026-08-10T23:33:32.306603Z

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source=pdf_text observed=2026-08-10T23:33:32.306603Z digest=sha256:022f6890ba86e62a06b55c164cb722a95434eaf93d8a03985b6d0080fa152f47

Observation 584f144c-f5fd-4460-b3d1-3c45b652a387 · outbound

This paper cites McClelland, Bruce L.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory McClelland, Bruce L

Reference 70

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raw_fallback, observed 2026-08-10T23:33:34.620951Z

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=2026-08-10T23:33:32.318693Z digest=sha256:90b4d0be3ee8e2dcc84aae3f8e3ff4f7c92f8e9430eebbd473d074c7f2702679

Observation 61de6bb2-107f-4a0b-b97b-21720b423e3a · outbound

This paper cites Why there are com- plementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Why there are com- plementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory

Reference 71

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source=pdf_text observed=2026-08-10T23:33:32.314727Z digest=sha256:4b02d63f8a6f82313e2e1aa02d8e77492828546ae3314bd78faddebed724e503

Observation 58851da8-0857-4f6b-adfb-691f7890d6aa · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Spectral Normalization for Generative Adversarial Networks

Reference 72

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source=pdf_text observed=2026-08-10T23:33:32.327277Z digest=sha256:9c14d790933d01d0d217fa0e742b233a18aa36e051c6538100ae0707907887f5

Observation 038996fb-7e7d-4550-b95e-cfe59e7b425f · outbound

This paper cites an unresolved cited work.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 73

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unresolved
raw_fallback, observed 2026-08-10T23:33:34.607070Z

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=2026-08-10T23:33:32.322670Z digest=sha256:07ac9e376f9c193ec6a241ed2191ce50f58850ddb1391c6f104e40b6df86b83a

Observation 5a754321-9529-40fb-ab09-cd722818a584 · outbound

This paper cites an unresolved cited work.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 74

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verified exact
raw_fallback, observed 2026-08-10T23:33:33.486438Z

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=2026-08-10T23:33:32.335171Z digest=sha256:decc0866139fe9b331f2fd53753419c6e718432dfe8b92057af11505a67336fe

Observation 0e4e4e33-ce3a-4d5a-9a79-0892ff7cc247 · outbound

This paper cites Some new aspects of the coupon collector’s problem.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Some new aspects of the coupon collector’s problem

Reference 75

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raw_fallback, observed 2026-08-10T23:33:34.593638Z

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=2026-08-10T23:33:32.331135Z digest=sha256:67ca7f8e625ebca99b8dfad9904b11a6c3adc8a9dfe4404874d6edbcc31c59c0

Observation f7aef68b-4b96-4ccd-b453-9c1de3a32cb4 · outbound

This paper cites Variational continual learning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Variational continual learning

Reference 76

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verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.566032Z

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=2026-08-10T23:33:32.342572Z digest=sha256:c061e40e30ba34a086a17f831104c058084347444ec444177cb6960732ad1695

Observation ddd93d12-46ba-4f18-8b15-fce557efd5b4 · outbound

This paper cites Ng and Stuart J.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Ng and Stuart J

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.579129Z

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=2026-08-10T23:33:32.339086Z digest=sha256:626caf137e974d74789ec616463f93fd0b03d8bf75d6286a7dfbe84da98b4daa

Observation 32490258-ec7d-4bcb-a289-94583f2fef21 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved denoising diffusion probabilistic models

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.546080Z

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=2026-08-10T23:33:32.350770Z digest=sha256:8521bcb0d743831f7e3c14329be049ee15067b1f3886821cc99b409829c8d2bd

Observation eca04d48-5f89-4bf0-865d-2ef51b4fb699 · outbound

This paper cites When do transformers shine in rl? decoupling memory from credit assignment, 2023.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory When do transformers shine in rl? decoupling memory from credit assignment, 2023

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.346167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.346167Z digest=sha256:0aa94c03627a8d253bd76795671b2e6480d5b2691f1694fe72869468328a6eb2

Observation 5083b8bb-7029-43b3-a7ee-30e58bc95999 · outbound

This paper cites O’Reilly and Kenneth A.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory O’Reilly and Kenneth A

Reference 80

Resolution
verified exact
doi, observed 2026-08-10T23:33:33.253431Z

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=2026-08-10T23:33:32.359044Z digest=sha256:567d8b59d3f212f752d710e0c50fbb323870ab010a186e26849bafd93272fec8

Observation 04ab681e-8d43-4fe7-bd96-22664c8acf45 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.354452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.354452Z digest=sha256:b58d12cd7b8d6237793712be43413439c5aa8fd44fff24771e7130120ea1aca2

Observation 94287935-453e-4f77-8fb9-445a9fe87d08 · outbound

This paper cites Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.523038Z

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=2026-08-10T23:33:32.366769Z digest=sha256:5e5454a161f7dea3363a21b6945c5ce2b19103c2ed6836376e75883470e296e3

Observation 455cfee9-f97d-4288-993a-cd56e8b971f5 · outbound

This paper cites Memory gym: Partially observable challenges to memory-based agents.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory gym: Partially observable challenges to memory-based agents

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.535025Z

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=2026-08-10T23:33:32.362900Z digest=sha256:86c9e21a871f27434a70549039bc826e8020ebb69b9e71d1b4c1389c208b4b86

Observation a4a2f87c-fe8c-420a-a3a2-2589fc8fff17 · outbound

This paper cites Continual Learning in Reinforcement Environments.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Learning in Reinforcement Environments

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.495585Z

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=2026-08-10T23:33:32.374951Z digest=sha256:d8495890982e0c98a8ca1061d3e4032d43c6092ca899f46927e33e0dd5c8ddcd

Observation 1453c1ed-8f04-4f1a-a9f4-9dcc8079a47d · outbound

This paper cites Learning transferable visual models from natural language supervision.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning transferable visual models from natural language supervision

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.509314Z

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=2026-08-10T23:33:32.370992Z digest=sha256:7eaf0da96ce474861dade05a00d2a080aca8825fa8421f33ac05dcd093788489

Observation 9b197de8-0409-4841-b5b4-6f6d15a528b4 · outbound

This paper cites Gordon, and J.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gordon, and J

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.474009Z

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=2026-08-10T23:33:32.382374Z digest=sha256:818a9b2cc31e60219edaa0c6d73b80f8d70b9876e659ae72f051773fca6f98ac

Observation 3b8e92cd-0d32-4235-a1e8-127ece12f137 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory U-net: Convolutional networks for biomedical image segmentation

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.378826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.378826Z digest=sha256:a0c60cc9bcb74eb874803ca9dc2271982382f96a2170f236b2bb5b03ac3f5f58

Observation 83205d4f-9d0c-4acb-a04a-949e45bed6b8 · outbound

This paper cites Improved techniques for training gans.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved techniques for training gans

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.510663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.510663Z digest=sha256:96633617ed480db9b41c0cea4ba4ddeb0c554f713cf0308d72d42bbe67f6c17f

Observation 0edb9c74-4165-45e4-877c-80f266d5a6dc · outbound

This paper cites Dragan, S.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Dragan, S

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.461834Z

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=2026-08-10T23:33:32.415867Z digest=sha256:c09fc69f0f4540ff3da06df1e7ab5713699a042053798f275522cf0710b529cd

Observation ae64e0b0-606a-41a6-acda-34c486abe5fd · outbound

This paper cites Trial without error: Towards safe reinforcement learning via human intervention, 2017.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Trial without error: Towards safe reinforcement learning via human intervention, 2017

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.433224Z

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=2026-08-10T23:33:32.599630Z digest=sha256:5382b88136a9864f9a06cd87929b0161bb6125ba4256dff9f73fd82e8989d35e

Observation c0e861dc-0ddb-415b-bfe0-0a26773d2c1a · outbound

This paper cites Is imitation learning the route to humanoid robots? Trends in cognitive sciences, 3(6):233–242, 1999.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Is imitation learning the route to humanoid robots? Trends in cognitive sciences, 3(6):233–242, 1999

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.421355Z

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=2026-08-10T23:33:32.644013Z digest=sha256:7c1b06c41895e5c102f354ecbc449afc35a28246e4493847832698216cd949a8

Observation 85b78576-bbe0-4c4d-a85b-c51652a41168 · outbound

This paper cites Efficiently Guiding Imitation Learning Agents with Human Gaze.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Efficiently Guiding Imitation Learning Agents with Human Gaze

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.541277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.541277Z digest=sha256:b6f306021d36792c30e8a61acee4f480c526e61b684b329f05d1fc5f29051f78

Observation ced27611-e5f4-4dfe-9206-e789ac8adca1 · outbound

This paper cites Continual learning with deep generative replay.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual learning with deep generative replay

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.753764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.753764Z digest=sha256:736b16ca1981fc17d8af0cadee4299286ff1730f8f0dd677c3f34d63a999b52e

Observation ebeb35ff-45cc-4657-877b-ba5d2df63028 · outbound

This paper cites Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.802262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.802262Z digest=sha256:b2a12c07d7b0d290962ad92d5d2e0bc33346d4227a7359d8e43991077ce705aa

Observation a5a8081a-6467-4ce0-8987-ea1175c05226 · outbound

This paper cites Progress & compress: A scalable framework for continual learning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Progress & compress: A scalable framework for continual learning

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.407428Z

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=2026-08-10T23:33:32.703810Z digest=sha256:ba6f55bd9aa6246857563562a57068fa59d3136ad4d74151d331958775f5c55f

Observation 7a0529c6-e270-4980-9a71-d2ebae969c13 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.812173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.812173Z digest=sha256:5e3e730ea0ad2c872dbd097eea8b5fb9dbf07bed7d0cbbc98f5c524954f129a4

Observation 64146dd4-c06b-4ffa-bb53-82aae72affce · outbound

This paper cites Sutton and Andrew G.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Sutton and Andrew G

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.376096Z

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=2026-08-10T23:33:32.816193Z digest=sha256:52d7303feef30eb20af7a3db6fe02f579e10f032b54b4def82e45a727eaa9759

Observation cb8089a2-3c8d-4700-99de-958708ce1e59 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:32.807450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:32.807450Z digest=sha256:3e895470ac619a0deec37f33078b52079ab59a871cb4bb16447cd9eb172b8010

Observation cca3a421-2f5e-4920-b4c9-89e1f23f45dc · outbound

This paper cites Procedural and declarative knowledge: An evolutionary perspective.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Procedural and declarative knowledge: An evolutionary perspective

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.349712Z

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=2026-08-10T23:33:32.823901Z digest=sha256:e6d123020a488500950b64d46ae80781d6bbbe40ff4fc256dc357817260f3ae7

Observation b79a31dd-9e86-4dfc-8f64-e1f4cb4fc381 · outbound

This paper cites Behavioral cloning from observation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Behavioral cloning from observation

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:33:34.335419Z

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=2026-08-10T23:33:32.828251Z digest=sha256:9f98b7e08a28016b9702eeace846d40178c28f9eda921db4367524ea2c3aff69

Pith citing papers

No inbound Pith citation observations are available.