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Paper Citation Record · LEDGER

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.05706.

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

pith.paper-citation-record.v1
2608.05706 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:40:07.375891Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a56acd0-c70f-47bb-ae08-422e8882c6c8 · outbound

This paper cites DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 1

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no resolver link, observed 2026-08-15T14:40:07.152351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.152351Z digest=sha256:07bda408c10e6a0074a3f471ea9fb5d1f947e221e0008bba017f8a4a2f3fac5e

Observation 1873b4fa-ba5c-4783-b5cf-339d68e3f0d0 · outbound

This paper cites World Models.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models World Models

Reference 2

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no resolver link, observed 2026-08-15T14:40:07.159635Z

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source=arxiv_source observed=2026-08-15T14:40:07.159635Z digest=sha256:b84fdc6d635edba569b44a6d6143bdcf804524e4ea1e234ca1c77cccc65168a1

Observation 50b8581c-fd22-468e-877a-fc31cb26f6c9 · outbound

This paper cites arXiv preprint arXiv:2602.08971 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2602.08971 , year=

Reference 3

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no resolver link, observed 2026-08-15T14:40:07.164641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.164641Z digest=sha256:73e7bafc1fed471c0a9a6e20101dbe06f9097968884a333c3f8e93f4704eadbb

Observation d0b0ef2f-68ee-4e41-948d-6d518f5e0ecd · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Forty-second International Conference on Machine Learning , year=

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.456625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.169486Z digest=sha256:4e4d0675c883988e9474cce50b8e830492f9bb30efab193af0f2c8340cf8ecbc

Observation 3a559900-1051-4b97-9013-06061f1e2e13 · outbound

This paper cites arXiv preprint arXiv:2509.18428 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2509.18428 , year=

Reference 5

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no resolver link, observed 2026-08-15T14:40:07.174240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.174240Z digest=sha256:98c333ebc41419db8c571ac8d9733fa8abf570d12a2c657c8bfdb759cfe3e6c6

Observation bf69446b-ac5c-4e56-8d52-e0f7a82de674 · outbound

This paper cites International Conference on Learning Representations , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models International Conference on Learning Representations , volume=

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.441230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.178944Z digest=sha256:6d929336c4b1e3602d7dde15db1f05306af36e2b003038e6dbeee561b38440ef

Observation c28573d1-296a-4b6c-8236-ef72efc019d1 · outbound

This paper cites ACM Computing Surveys , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models ACM Computing Surveys , volume=

Reference 7

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no resolver link, observed 2026-08-15T14:40:07.184105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.184105Z digest=sha256:a58a1ab1fba1066c1c8080bfcacb76393f40df6009435e9fc22456b91c1c71a6

Observation 77394885-0bae-41a1-a508-68ba728728ad · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 8

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unresolved
no resolver link, observed 2026-08-15T14:40:07.188665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.188665Z digest=sha256:0ae59c9ef7906ab463a5ea616693c82027e0dc8fc841418148d17fca34c8de2c

Observation 187c6554-d761-4125-88e4-fb9e725207f1 · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 9

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no resolver link, observed 2026-08-15T14:40:07.193194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.193194Z digest=sha256:5cd98aeb799c49f297b9c0b9bcb834d9ba5513d5aada377503755c3bfc10ffc5

Observation 0bec954a-934b-41f0-a34a-2f19cc53ad23 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision workshops , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE international conference on computer vision workshops , pages=

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.406802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.198170Z digest=sha256:5ab027836767fa47c4119ac7a108865bd6bbdd290e60ec5b3e1dcca4477d4b50

Observation 9092ceff-b31b-4ce3-80bb-51c525aab05a · outbound

This paper cites Information , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Information , volume=

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.391061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.202709Z digest=sha256:0d166c498d5d1cd55055ff5bc0ac29596fec5c0f577685f3a7176aaeffc15bfd

Observation 5f32f908-cadc-4bc9-95e9-f198ec869673 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models IEEE Transactions on Circuits and Systems for Video Technology , year=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.376033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.207568Z digest=sha256:5b374e396fae9352441ee7aa24f9f75e926ec89b07d72d0aa0cd38fe56d1c952

Observation af92a951-88ff-4246-b29b-9163eed2748f · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Forty-first International Conference on Machine Learning , year=

Reference 13

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unresolved
no resolver link, observed 2026-08-15T14:40:07.212364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.212364Z digest=sha256:251de6618b21aa8c070af44dc846c4d18880fa8bd9ca39f817690ae884df23b4

Observation 5bb810fe-cbbc-429a-ac42-43a959ec9f27 · outbound

This paper cites CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-15T14:40:07.217008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.217008Z digest=sha256:952e245a71c8bed968eb44229824e617f9d4879ab4ffe9334ad83dd4e2711724

Observation bd589732-b984-4ad1-9358-beefad358c8c · outbound

This paper cites UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models

Reference 15

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unresolved
no resolver link, observed 2026-08-15T14:40:07.222127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.222127Z digest=sha256:52e767356f9f52dddf4e23f39a3f497bba9a38e6fcd1bbfd7b42e7d6b45d1d46

Observation 4782b40d-a2f1-4d17-bc40-60d69d2fc14b · outbound

This paper cites MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction

Reference 16

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unresolved
no resolver link, observed 2026-08-15T14:40:07.227067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.227067Z digest=sha256:6213ce2ab218c9ef7cc4d5f04ec1ffe46f6553ebb63030f399d3fa2c0346015c

Observation 58339da7-bf62-4506-9e74-d0e84e2127ca · outbound

This paper cites Matrix-3D: Omnidirectional Explorable 3D World Generation.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Matrix-3D: Omnidirectional Explorable 3D World Generation

Reference 17

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unresolved
no resolver link, observed 2026-08-15T14:40:07.232129Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.232129Z digest=sha256:715dd246f85bdfde14fdc9f4f760dcdeabd51ffaf9b19f9154fb802a83acd1a0

Observation 79632db0-bc30-4d79-a1cb-09400bddebe1 · outbound

This paper cites arXiv preprint arXiv:2603.02049 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2603.02049 , year=

Reference 18

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no resolver link, observed 2026-08-15T14:40:07.237245Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.237245Z digest=sha256:061b8aeb97c78adec05e14922b1371f9d5c2729b579bde5b426c4126f560f935

Observation 3fa8eaa9-ee2d-4a5a-a537-63d132a80dd5 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models The Fourteenth International Conference on Learning Representations , year=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.350609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.241821Z digest=sha256:037d2c33107e0ab744f15195a92e23cfaa6fcdf5a0de8c001790ea5d19a9beac

Observation 2b46a3d8-c219-4fcf-a7ab-a4414bd46aa5 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models The Fourteenth International Conference on Learning Representations , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.335220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.246395Z digest=sha256:a63268de2708d08fcf4269a1a51caf4ac901e3f6e0bada7c55926029b0420134

Observation b01bfe53-e14b-4e16-ab3a-af75e57f8b4b · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models TesserAct: Learning 4D Embodied World Models

Reference 21

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unresolved
no resolver link, observed 2026-08-15T14:40:07.251146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.251146Z digest=sha256:f31ab4f1203213540d26b3698867b6f26c72bcb77a04408579c59a1313131f28

Observation cd7cdac9-e99f-4b6c-8212-327d28a976f9 · outbound

This paper cites arXiv preprint arXiv:2603.16669 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2603.16669 , year=

Reference 22

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unresolved
no resolver link, observed 2026-08-15T14:40:07.256196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.256196Z digest=sha256:4e17c43d3c1117a568d3dc695197f8ca1b0116b26b4dcb41a523fc0959e2a0bf

Observation a5b04d29-8c5e-4184-9fe1-bb085d3e6bbd · outbound

This paper cites European Conference on Computer Vision , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models European Conference on Computer Vision , pages=

Reference 23

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no resolver link, observed 2026-08-15T14:40:07.260571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.260571Z digest=sha256:ac6384dbdaa0077a648f10bbf5a007daab1f92bffd2b9293f9368662ecc63184

Observation 68f96fed-7a86-49e6-80d2-b4a7669605cc · outbound

This paper cites Auto-Encoding Variational Bayes.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Auto-Encoding Variational Bayes

Reference 24

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no resolver link, observed 2026-08-15T14:40:07.265393Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.265393Z digest=sha256:0da9ee0c9ae7dc5ccabba0b8182cd50dcfafbc073ae32e04a9910ddc6994af53

Observation 948e2089-3b79-436a-9ff3-fe64529e9a30 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 25

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unresolved
no resolver link, observed 2026-08-15T14:40:07.270368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.270368Z digest=sha256:6f937eca505148e896ed8e809d355cadf5bbf1a9c35fc44a3d816eaf2203a39b

Observation df3dff62-bbec-4ba0-849e-8c11eae64aa8 · outbound

This paper cites Advances in neural information processing systems , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Advances in neural information processing systems , volume=

Reference 26

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unresolved
no resolver link, observed 2026-08-15T14:40:07.274848Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.274848Z digest=sha256:c819f505543f9faf378235be4617542923a3ddefb95a8869d541ed4697d57326

Observation cec448c4-d215-404d-9331-609c7d817d6e · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models World Simulation with Video Foundation Models for Physical AI

Reference 27

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unresolved
no resolver link, observed 2026-08-15T14:40:07.279295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.279295Z digest=sha256:5b59e83f8449f6f37bd012832dac5dc02f94b45c8e3e52002ac323219421c45a

Observation bc553a53-fe63-4991-a15b-308937ea2e11 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 28

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unresolved
no resolver link, observed 2026-08-15T14:40:07.283852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.283852Z digest=sha256:02bef09becaa328a018c79b23d9667e53eb9cde99f37474772f80f9d0f841e91

Observation c21baf44-deda-4355-8299-2e14a0194650 · outbound

This paper cites Decoupled Weight Decay Regularization.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Decoupled Weight Decay Regularization

Reference 29

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unresolved
no resolver link, observed 2026-08-15T14:40:07.288404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.288404Z digest=sha256:cbadd3d3892d0596d6ab49aab8e9c0e6faa7fb6bd75e5561557b8473934596ed

Observation 4fb72cdb-b9b7-46d8-9dff-8f56e8fc3fc6 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.281704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.292847Z digest=sha256:343d094e96e795e7b494ee1b9f656fccb1b7b9cbb3644b611ba884f510a55eab

Observation af4c7818-7594-46f5-9a98-6ccfbb010ad8 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.266607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.297201Z digest=sha256:8654774f4a649d25d458af21b5b0c5fb59351589e1ff3ee9319c34cb51cf3bb3

Observation f8f4d78a-1de8-47b5-8ea7-f59f6dd2aac8 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 32

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unresolved
no resolver link, observed 2026-08-15T14:40:07.301553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.301553Z digest=sha256:0708613ac6feab99050a80329f8d9b304ebdd6e2677ccd590c9206141faf959e

Observation e7730794-cf78-4129-a527-4015f64704d5 · outbound

This paper cites Conference on Robot Learning , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Conference on Robot Learning , pages=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.251260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.306494Z digest=sha256:e5a41dd7bf2a8c3ed53f7f33bbd3c621864c8c7bb33e687c068d459a3c830cb2

Observation bf04f645-de69-4a4e-acb3-641ba0293a2b · outbound

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

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 34

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unresolved
no resolver link, observed 2026-08-15T14:40:07.311049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.311049Z digest=sha256:9e905655df27595594a3cd7852bfc610a61bd22642fae4f27821974a9f43f6e4

Observation 5986c8bc-b66f-4c13-a7b0-40175035f922 · outbound

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

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 35

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unresolved
no resolver link, observed 2026-08-15T14:40:07.315803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.315803Z digest=sha256:2e7937a692a3d5f8aee658cf63ce3cbfebb094563a88c16ec69b6b0793d09164

Observation 954fc41a-4369-4f78-8c4a-272baef71d10 · outbound

This paper cites arXiv preprint arXiv:2511.19861 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2511.19861 , year=

Reference 36

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unresolved
no resolver link, observed 2026-08-15T14:40:07.320452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.320452Z digest=sha256:8cfbd93cb32ea9f62c547a031b5337b3a0f854fc251d40c37e82d93e57241572

Observation f921e2da-2736-4c72-961b-538339133b91 · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 37

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unresolved
no resolver link, observed 2026-08-15T14:40:07.324833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.324833Z digest=sha256:a5defb3d17c70538b3ad3eb824b566410e643e3550cba47932f2b3dbd461249c

Observation 9c52da61-16c5-4926-aa13-dd9c5f9f00f9 · outbound

This paper cites arXiv preprint arXiv:2509.22642 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2509.22642 , year=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T14:40:07.329341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.329341Z digest=sha256:20de2e516b4ec8e0fc4514e69fa42050d8133ef44cc1e3b7a85042ea62506a18

Observation 9c31b82a-39f2-4453-b959-be4015e718c7 · outbound

This paper cites 2012 IEEE/RSJ international conference on intelligent robots and systems , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models 2012 IEEE/RSJ international conference on intelligent robots and systems , pages=

Reference 39

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unresolved
no resolver link, observed 2026-08-15T14:40:07.333883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.333883Z digest=sha256:0ac15df5c87337c22e8de491236e446dda1bb1075ac47e4deee5cbcd5c86ca64

Observation a301993f-8d65-4d19-8e5b-e53d9c6fb15a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Advances in Neural Information Processing Systems , volume=

Reference 40

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unresolved
no resolver link, observed 2026-08-15T14:40:07.338557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.338557Z digest=sha256:7eba59dfff88463a7ed40fac689750f124f0ec4fe5888c9e0555451dbf471ccc

Observation 795d49cb-f277-482b-a054-17dc2059ac85 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T14:40:07.343873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.343873Z digest=sha256:e24012cc7a61534f7e9fff6b5aa34aaf3d8b99979c08a46b101bdc2f341924a6

Observation 650b7bfc-960a-438d-921e-44f8a1ae4592 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Advances in Neural Information Processing Systems , volume=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:40:07.348478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.348478Z digest=sha256:54481ccfd4c6787e693f5aaf581aef78dbb235992a7ca822a2fd8daafb467c83

Observation 6de7b6e5-fb24-4981-9662-31f681dd6d1c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models DINOv2: Learning Robust Visual Features without Supervision

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T14:40:07.352723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.352723Z digest=sha256:e45df47a4521e76da4592a9da851f545cc95c631e65b5c4094e6a34da579db33

Observation 944a9886-f34e-4779-ad8d-76d1f757f4c9 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Understanding intermediate layers using linear classifier probes

Reference 44

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unresolved
no resolver link, observed 2026-08-15T14:40:07.357342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.357342Z digest=sha256:2b1acb9b2de88a14adbb59095b22f914da22adb1d7d5743bc6339e0c316e660c

Observation 50041f86-c19e-4770-9a61-4d4e73e6add0 · outbound

This paper cites Conference on Robot Learning , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Conference on Robot Learning , pages=

Reference 45

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unresolved
no resolver link, observed 2026-08-15T14:40:07.362189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.362189Z digest=sha256:cb6fefbc6ecc93658a7171c58e8e9d20777043e127abb0321dc110beade2ba98

Observation 8b710d7a-de06-46ac-8e35-0782e632c794 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:40:08.184466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:40:07.367081Z digest=sha256:438a1348f8a18cfacbfae6ace7c674948b171d828ebabcaa5f9bfe5c40a880e5

Observation 9650b37b-1d93-4d37-8cfa-289946d74339 · outbound

This paper cites arXiv preprint arXiv:2506.01943 , year=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models arXiv preprint arXiv:2506.01943 , year=

Reference 47

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unresolved
no resolver link, observed 2026-08-15T14:40:07.371564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.371564Z digest=sha256:1c979b44010e62caf92cd0049c0c428b651572be8e9c9b7be1a65f8a6669c834

Observation a010eef1-e2ab-4ec2-a469-ec08cf18f0b6 · outbound

This paper cites International conference on machine learning , pages=.

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models International conference on machine learning , pages=

Reference 48

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unresolved
no resolver link, observed 2026-08-15T14:40:07.375891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:40:07.375891Z digest=sha256:14f2e454bcd95c1fd57b71559a4ae8264632f287949acf4f87ef8904c7385d72

Pith citing papers

No inbound Pith citation observations are available.