Paper Citation Record · LEDGER

World-Task Factorization for Robot Learning

As of 21 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2606.02027.

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

pith.paper-citation-record.v1
2606.02027 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:53:20.935074Z

measured 61 of 61 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

61 of 61 outbound references displayed

verified exact9
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier0
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External citation measurements

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Outbound references

Observation 180d7fdb-9948-4dec-8cfa-02588cd84bd0 · outbound

This paper cites Brohan, N.

World-Task Factorization for Robot Learning Brohan, N

Reference 1

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Observation 4f5ee774-38e5-46cd-87cf-475867cbe1ac · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

World-Task Factorization for Robot Learning $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.098107Z

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Observation d3e4c72d-1065-407b-a549-423d906afbd2 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

World-Task Factorization for Robot Learning Relational inductive biases, deep learning, and graph networks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.108778Z

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Observation a2ea433b-ce59-4466-911d-28a1d2460aad · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 4

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Observation c91fa01a-0614-4ef5-8e59-ce6bbb4fbe3b · outbound

This paper cites Devin, A.

World-Task Factorization for Robot Learning Devin, A

Reference 5

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Observation 60a2f60f-fb0a-4a97-84d4-028611f9f01a · outbound

This paper cites Brohan, Y.

World-Task Factorization for Robot Learning Brohan, Y

Reference 6

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Observation d720deab-38b2-4631-b1a9-f52a5a6e22a6 · outbound

This paper cites Mengers and O.

World-Task Factorization for Robot Learning Mengers and O

Reference 7

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Observation cba4b80e-f736-4afb-bee9-26d3a13ee678 · outbound

This paper cites Riemannian Motion Policies.

World-Task Factorization for Robot Learning Riemannian Motion Policies

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.101552Z

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.

Observation b126c32e-3387-410d-bdfa-200321190b0c · outbound

This paper cites Li, C.-A.

World-Task Factorization for Robot Learning Li, C.-A

Reference 9

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Observation 2de58616-849e-4646-9840-533f6b470750 · outbound

This paper cites Pantic, I.

World-Task Factorization for Robot Learning Pantic, I

Reference 10

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Observation 7f192e29-db31-4bc2-bfb4-801b1a21676d · outbound

This paper cites Van Wyk, M.

World-Task Factorization for Robot Learning Van Wyk, M

Reference 11

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Observation d36289b8-e526-4080-966e-dadce97af7a8 · outbound

This paper cites Merva, S.

World-Task Factorization for Robot Learning Merva, S

Reference 12

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Observation 1d570134-1aa9-4590-8c97-eb61e09ff303 · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 13

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Observation 6983b0b7-9ffe-40c5-9243-d7df0fc32a9d · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T14:53:20.935074Z

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Observation 52985245-f240-4a6c-a74b-a479b9c78fe1 · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 15

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Observation 4f996f0a-dc32-4e38-baac-ed6fa6c33637 · outbound

This paper cites Riemannian metric learning: Closer to you than you imagine.

World-Task Factorization for Robot Learning Riemannian metric learning: Closer to you than you imagine

Reference 16

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Observation b8515532-95c1-4048-8f1e-9bfd58ded8b9 · outbound

This paper cites Braun, N.

World-Task Factorization for Robot Learning Braun, N

Reference 17

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Observation eae68294-d5ff-4905-b482-934e68d4412b · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 18

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Observation df5283e3-0c30-4694-a739-19e2589bc518 · outbound

This paper cites Tennenholtz and S.

World-Task Factorization for Robot Learning Tennenholtz and S

Reference 19

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Observation 547df409-0134-4619-b3da-ebbce84fe3cd · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 20

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Observation e362e1ac-82ab-4ec3-ae7e-496e0b8d5e2f · outbound

This paper cites Alhousani, M.

World-Task Factorization for Robot Learning Alhousani, M

Reference 21

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Observation d0182f63-7d62-49a2-90cd-e65efae81e8d · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 22

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Observation 10c89713-cff6-47c6-84e1-c96b1623dcdd · outbound

This paper cites Hoeller, N.

World-Task Factorization for Robot Learning Hoeller, N

Reference 23

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Observation 2908347e-eabb-47ca-a675-e61da73b73bf · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 24

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Observation edd80ce0-55e0-49f5-b426-2c9d62617ae3 · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 25

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Observation eaeef426-3c9e-4c68-ab0c-f41aad5ddca8 · outbound

This paper cites Bacon, J.

World-Task Factorization for Robot Learning Bacon, J

Reference 26

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Observation c8498987-1108-4265-a6ae-dfcf5dd0f70e · outbound

This paper cites Shazeer, A.

World-Task Factorization for Robot Learning Shazeer, A

Reference 27

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Observation 51b1ef59-56ec-4db8-973b-3c6de5f53d04 · outbound

This paper cites Andreas, M.

World-Task Factorization for Robot Learning Andreas, M

Reference 28

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Observation 329965ca-3fe2-414e-8fbc-dd323f97ff74 · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 29

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Observation 60603503-e2c4-41e1-a1b7-d510b13311bf · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 30

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Observation 3b5022f4-b148-421d-ad91-5a41fb7de3b0 · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 31

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Observation ce3b6b32-e463-4680-a8a4-9fc91b679c80 · outbound

This paper cites Latent Activation Editing: Inference-Time Refinement of Learned Policies for Safer Multirobot Navigation.

World-Task Factorization for Robot Learning Latent Activation Editing: Inference-Time Refinement of Learned Policies for Safer Multirobot Navigation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.122929Z

Source-reported events for the cited work

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Observation 34637e1e-e444-4326-9f47-51647e86d829 · outbound

This paper cites Schmied, M.

World-Task Factorization for Robot Learning Schmied, M

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T14:53:20.935074Z

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Observation eea20332-e14a-4972-960a-7a32fd52639a · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 34

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Observation 0d65d821-a012-4661-a989-bcfc724e0896 · outbound

This paper cites Carlucho, M.

World-Task Factorization for Robot Learning Carlucho, M

Reference 35

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Observation 15784196-5a4c-4e76-a4f8-46042cd4bd7c · outbound

This paper cites CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions.

World-Task Factorization for Robot Learning CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions

Reference 36

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Observation 6049f752-85fb-4ea1-bb15-62b1604b011a · outbound

This paper cites Zhang, A.

World-Task Factorization for Robot Learning Zhang, A

Reference 37

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Observation 94b57721-7f69-4535-9c17-a14ed8ecaa7c · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 38

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Observation 4b01d014-ff56-4307-aff1-925b8608ea54 · outbound

This paper cites an unresolved cited work.

World-Task Factorization for Robot Learning Unresolved cited work

Reference 39

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World-Task Factorization for Robot Learning LeCun et al

Reference 40

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Observation aaf264d1-a00f-45d8-abea-0a052dee83ec · outbound

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World-Task Factorization for Robot Learning World Model for Robot Learning: A Comprehensive Survey

Reference 41

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Observation f5f64a19-b717-4714-90cc-ff9ab69f24ab · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 42

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Observation 3e05cfc6-5894-4102-944e-e7216d8cc1aa · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 43

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Observation 0357eaa9-a70e-4f5d-8aa0-3596dc7dc578 · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 44

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Observation 1208f5ac-0a0c-4fdb-a617-112e55bdc5f4 · outbound

This paper cites Riding the Shifting Potential: When Reactive Control Suffices for Multi-Goal Behavior.

World-Task Factorization for Robot Learning Riding the Shifting Potential: When Reactive Control Suffices for Multi-Goal Behavior

Reference 45

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Observation a735c5f4-dcb6-4233-8e1f-e69970a3a0d6 · outbound

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World-Task Factorization for Robot Learning D´esid´eri

Reference 46

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Observation c9c159c6-7c3f-4dba-9ce2-301ed3ae5421 · outbound

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World-Task Factorization for Robot Learning Fliege and B

Reference 47

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Observation 5a955ed7-9dcb-495d-a1dc-d9d0fb2b7846 · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 48

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Observation 53d6f938-e858-429a-a107-d1b34cf11e4a · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 49

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Observation ba68ac65-04e3-4821-86a5-657c8a717198 · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 50

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World-Task Factorization for Robot Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 51

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World-Task Factorization for Robot Learning Vaswani, N

Reference 52

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World-Task Factorization for Robot Learning Bettini, R

Reference 53

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 54

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World-Task Factorization for Robot Learning A normalized index idr = (2r+ 1)/(2N) that provides a unique, order- agnostic label in (0,1)

Reference 55

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Observation 21191bf6-8842-414d-9200-996808e09b7c · outbound

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World-Task Factorization for Robot Learning Global task state visible to all robots

Reference 56

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Observation f4471fbe-f618-40e0-92a5-efc8a36bbfee · outbound

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World-Task Factorization for Robot Learning Unresolved cited work

Reference 57

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World-Task Factorization for Robot Learning A scalar index id∈ {0,1} providing a unique identifier for each robot, respectively

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T14:53:20.935074Z

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World-Task Factorization for Robot Learning Local and teammate end-effector pose estimates, object and obstacle pose estimates and distances w.r.t

Reference 59

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Observation e13ba763-0254-46fe-9859-5ccb201dfca8 · outbound

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World-Task Factorization for Robot Learning Per-candidate gradient features and their null spaces for the paths exposed by the handover graph

Reference 60

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Observation 33f9a839-c522-4dcd-b1d5-e0c38d8524a3 · outbound

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World-Task Factorization for Robot Learning giver”), while the second robot (the “receiver

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T14:53:20.935074Z

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Pith citing papers

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