Paper Citation Record · LEDGER

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation

As of 23 July 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2606.01047.

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

pith.paper-citation-record.v1
2606.01047 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:26:36.956666Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-25T20:57:29.637599Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T20:00:07.690480Z

Reference resolution

53 of 53 outbound references displayed

verified exact17
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b26d5b1a-5d3f-4a02-b18b-b1ae5009a21c · outbound

This paper cites Siciliano and O.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Siciliano and O

Reference 1

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Observation 310e7d3c-e337-4d9b-9493-ffee25721c3e · outbound

This paper cites Levine, P.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Levine, P

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T17:26:36.956666Z

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Observation 138f9714-3f7c-4e3a-8771-48e42c3713e2 · outbound

This paper cites Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.825506Z

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Observation e7084ae4-4268-46b6-beeb-746ca1b619bc · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 4

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Observation d2378717-78b6-4c7a-8b84-acb00f61c7e0 · outbound

This paper cites Black, N.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Black, N

Reference 5

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Observation 592d08ce-ea34-4fde-abb9-a69ae38b20ee · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 6

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Observation 13eaed69-cfad-4ae3-80ac-70b55105c496 · outbound

This paper cites Internvla-a1: Unifying understanding, generation and action for robotic manipulation.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Internvla-a1: Unifying understanding, generation and action for robotic manipulation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.828884Z

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Observation ab5e4a58-bb1e-4930-a595-38dd6c970e86 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T17:26:36.956666Z

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Observation 2c58e47f-6a9a-498c-be67-db40f8071e45 · outbound

This paper cites Levine, C.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Levine, C

Reference 9

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Observation 33480b4f-85f5-4859-b239-1d4602d4ff8a · outbound

This paper cites Zhang, Z.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Zhang, Z

Reference 10

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Observation 6fb7b9b3-51ac-4b23-81d0-f343e1a25937 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 11

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Observation 352a94f6-f9a4-4c76-be90-e8b37ef6d865 · outbound

This paper cites Brohan, N.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Brohan, N

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T17:26:36.956666Z

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Observation 2933a36d-32db-44da-ac08-122aa89e1560 · outbound

This paper cites Driess, F.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Driess, F

Reference 13

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Observation 294d386b-f69d-45a5-916e-5b008b290bee · outbound

This paper cites Zitkovich, T.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Zitkovich, T

Reference 14

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Observation cd37b2b4-3749-42c8-8880-b6639de864d8 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 15

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Observation 5c2737c9-03e4-4fce-8730-c6ee658d45fe · outbound

This paper cites Mandlekar, D.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Mandlekar, D

Reference 16

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Observation 005ee053-4226-40d4-86e4-94eea5230fa1 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 17

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Observation ef36ae6e-b4ba-441b-ae95-29b309408b51 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 18

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Observation f504cda3-7f44-4b20-b4e6-bc035a8e2268 · outbound

This paper cites Ravichandar, A.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Ravichandar, A

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T17:26:36.956666Z

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Observation 41364b01-0b58-408e-97e2-b19514529bb2 · outbound

This paper cites Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

Reference 20

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Source-reported events for the cited work

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Observation c4e3c64f-0dd3-46c8-ada6-818853e507d5 · outbound

This paper cites Embodied robot manipulation in the era of foundation models: Planning and learning perspectives.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Embodied robot manipulation in the era of foundation models: Planning and learning perspectives

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.818542Z

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Observation 8ecea103-fd73-4672-a881-a85febbdf3a6 · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 22

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Observation b436ec5a-b3f3-4f99-8bd2-9d4a1d263e4a · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 23

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Observation b9384a6b-e8f3-4676-a860-f9eab25c84ad · outbound

This paper cites arXiv preprint arXiv:2503.07137 , year=.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation arXiv preprint arXiv:2503.07137 , year=

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.822717Z

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Observation fc1dbe66-bd67-4de8-b623-3fcfd3380217 · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 25

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Observation fa62c42d-8eaa-49ed-bc58-2a3693c5f6d3 · outbound

This paper cites Scaling Laws for Neural Language Models.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Scaling Laws for Neural Language Models

Reference 26

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Observation a3218813-36e8-44c1-b3ad-3cb40464a29a · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 27

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Observation 06cd2277-372e-4321-83dd-fb63b54f0b9c · outbound

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

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Reference 28

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Observation f230da49-26cb-4a63-8ecf-3e4279a3a47f · outbound

This paper cites an unresolved cited work.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 29

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Observation f8b9c693-a476-42a9-88f6-24ae1b22cef1 · outbound

This paper cites Li and S.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Li and S

Reference 30

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Observation e78e5b3e-68a6-4ff9-8cb6-4208917d90ba · outbound

This paper cites Ghosh, H.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Ghosh, H

Reference 31

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 32

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Observation 031b1199-d71b-4c82-a4b8-bef10774d4ab · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 33

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Observation 30b76845-3354-458f-b580-ef58b7aac557 · outbound

This paper cites O’Neill, A.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation O’Neill, A

Reference 34

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 35

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 36

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 37

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Observation 78b8a81d-0a19-4100-b031-0e0ace7c4685 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 38

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Observation 3fb5d555-34a6-4da4-a4e6-bdd01304d9c4 · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Fedus, B

Reference 39

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Nguyen, P

Reference 40

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Observation 4ab96c18-0f6a-4ff6-83a3-c0ac2977b449 · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Shazeer, A

Reference 41

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Observation ef4d6150-4655-431b-ab85-b67fc44b0e0b · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 42

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Observation 4016643c-a308-48b3-80a9-c598e7076660 · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Riquelme, J

Reference 43

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Observation ba8b04f6-c166-4ebe-bb66-68addeffcb42 · outbound

This paper cites MoE3D: Mixture of Experts Meets Multi-Modal 3D Understanding.arXiv 2025.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation MoE3D: Mixture of Experts Meets Multi-Modal 3D Understanding.arXiv 2025

Reference 44

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Observation ce73a3ff-c7a1-42ef-932b-3e21bdde54bd · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Unresolved cited work

Reference 45

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Observation c91eb7ad-2c83-48d4-a99b-3650e1ee22d0 · outbound

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Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Huang, S

Reference 46

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Observation 604506b4-d087-4a6a-bd0f-b1c1fd7d4b75 · outbound

This paper cites Lar-moe: Latent-aligned routing for mixture of experts in robotic imitation learning.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Lar-moe: Latent-aligned routing for mixture of experts in robotic imitation learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.787892Z

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Observation f63c9572-3e22-4bbf-ad83-701fb40c4fe9 · outbound

This paper cites Supervised Mixture-of-Experts for Surgical Grasping and Retraction.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Supervised Mixture-of-Experts for Surgical Grasping and Retraction

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:06:14.795286Z

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Observation 71276e9d-873e-444b-b15c-d09e760e9f08 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:06:14.811901Z

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Observation 1edcd93f-fe66-4b63-83f0-4273ba957df5 · outbound

This paper cites Puigcerver, C.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Puigcerver, C

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T17:26:36.956666Z

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Observation 25f7e56a-d0e9-436f-953d-d05851d0457b · outbound

This paper cites Improving Routing in Sparse Mixture of Experts with Graph of Tokens.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Improving Routing in Sparse Mixture of Experts with Graph of Tokens

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.784737Z

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Observation 7c2a98ed-7a81-48f8-b7a7-49fcfc41f7c8 · outbound

This paper cites MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.777623Z

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Observation 84afe6f1-7b13-4a59-8ace-22fd00022fb3 · outbound

This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.780717Z

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Pith citing papers

Observation 4ca87455-277a-4102-a980-1cdaff14282f · inbound

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation cites this paper.

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:00:07.692697Z

Source-reported events for the cited work

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