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Paper Citation Record · LEDGER

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2507.23698.

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

pith.paper-citation-record.v1
2507.23698 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:46:06.719704Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:06:03.221498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:06:20.223458Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84fcfc47-6076-47b6-aff5-28048208a1b3 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents , " * write output.state after.block = add.period write newline

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.403534Z digest=sha256:21fcf3734c0136893b138b497e130f4f2cfdd970c29f2faafb174baeb6d7d158

Observation 7b3e596f-2641-40b7-8155-e807e0c16fcb · outbound

This paper cites write newline.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents write newline

Reference 2

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source=arxiv_source observed=2026-08-06T10:46:06.407826Z digest=sha256:7f36e4eaeee7053983ddcee422f79481fe4cabff0df951ca13e5c898e8db09c9

Observation d1afd921-daf8-40c3-b191-cd60765ea5c6 · outbound

This paper cites write newline.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents write newline

Reference 3

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source=arxiv_source observed=2026-08-06T10:46:06.411816Z digest=sha256:7d47508bce94aeac5e4eb019db31751cdf2da49972fc14ec026f81353fab2944

Observation 0ae66288-3774-4bc5-9c0a-b5ab4f0f8e74 · outbound

This paper cites J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.419963Z digest=sha256:06639589bb55fcc3d39cc6054c47ac5e630adff56ff3422566992f0b4a4313ea

Observation dcf482dd-1dd7-426a-ae45-b605024bf623 · outbound

This paper cites Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Reference 5

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source=arxiv_source observed=2026-08-06T10:46:06.424312Z digest=sha256:a47a0abcbb189d69d318a3340881e060ad41afa67cb80af6a0a04c214e98f24f

Observation 3639941a-4384-46d0-9199-d9954fef0d92 · outbound

This paper cites DeepMind Lab.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents DeepMind Lab

Reference 6

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source=arxiv_source observed=2026-08-06T10:46:06.428044Z digest=sha256:3b3bc8abbeffaf50746983b9a8f274c53d48929a01ab66daa743118dd272f6ec

Observation 097be550-b9de-4507-9bed-5031ba0c0655 · outbound

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

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 7

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source=arxiv_source observed=2026-08-06T10:46:06.431756Z digest=sha256:4e0b7e26878535e6275567cd1729ef3b52e8fdd956fbc3d2e9d9ca55efa7936d

Observation ee770077-59aa-430b-9ea8-7ef430d2555b · outbound

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

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents RT-1: Robotics Transformer for Real-World Control at Scale

Reference 8

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source=arxiv_source observed=2026-08-06T10:46:06.435907Z digest=sha256:00ce5661138c91ef0d010194da51a0a1075947db2b258cd8cab4492711219e76

Observation 3dcfc3da-7c62-4199-92df-48781d4fbce8 · outbound

This paper cites Language Models are Few-Shot Learners.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Language Models are Few-Shot Learners

Reference 9

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source=arxiv_source observed=2026-08-06T10:46:06.439839Z digest=sha256:2c3a36ae40cba20b7aef645fd2fc097a9dae394f3ec06dd5967dd2566dede831

Observation 41de5499-22fc-4409-a8d6-3d954b4d5386 · outbound

This paper cites ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment

Reference 10

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source=arxiv_source observed=2026-08-06T10:46:06.443936Z digest=sha256:a240d50e3f37bade6b1ca935d5a2dd9b1ae734067965794706885184798a42d6

Observation 2ee15e57-8e18-4510-9169-2f3db6f381a4 · outbound

This paper cites ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 11

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source=arxiv_source observed=2026-08-06T10:46:06.447661Z digest=sha256:b103a61041595112a9f9bd901ae3b174ab69535baf1a995f5d6eb503d15b34e0

Observation a9428bc6-0db2-45dd-b663-bb51cbbf6ef0 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.451722Z digest=sha256:e2008de1914a8950ecb80918017fce57913ad953442b8aac79d717020ce2bbb1

Observation 6a367db8-e6e9-43a8-a4cd-f7ea77a514d8 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.454862Z digest=sha256:b40588324f591ead56844c822d464484ed7ed67735c0c64f3af89c4b9a238587

Observation 3deba6ec-8813-4351-8c69-22ceb86b1af6 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-06T10:46:06.458153Z digest=sha256:3632de9986ee2e44fe1b8fefe5c5e5fd36cfdc600313b655a948ae90a26258b6

Observation b7cf82a6-4942-41ff-b9bb-281144f93578 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

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source=arxiv_source observed=2026-08-06T10:46:06.472159Z digest=sha256:50f36206aa5fd1aadd14a5d0fa2a7f6df3951c99383a71a3ac3b7c3292cd0ea9

Observation 9d89b6b7-5211-4fa4-8750-1ae674b93daa · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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source=arxiv_source observed=2026-08-06T10:46:06.500071Z digest=sha256:a3695d6f15e08a9afc5e85c5fb0502a90397c61a57b293c8402628a8cb7e3593

Observation ca989a83-e310-4119-85ab-52fb2b631527 · outbound

This paper cites MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Reference 17

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source=arxiv_source observed=2026-08-06T10:46:06.520429Z digest=sha256:bbd2a68e034b5c9e70c612af82143f49be817c67f4a4a3435adf145d496c04fa

Observation 01440c80-6127-491b-9ad5-fbfb3da732c8 · outbound

This paper cites H.; Houghton, B.; Topin, N.; Wang, P.; Codel, C.; Veloso, M.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents H.; Houghton, B.; Topin, N.; Wang, P.; Codel, C.; Veloso, M

Reference 18

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.543613Z digest=sha256:ddf043449db56e2156ea99235f1361b2ddcff3b585ef046cbfe723a0e6d3fda6

Observation d05ded69-57b2-4f49-9335-37b9132457e0 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-06T10:46:06.560285Z digest=sha256:9b67cf78808cd67758a84a02dd32f1d92b0fba678587183ab8603fc580890b0c

Observation 3c6f99a6-f6fa-4d4a-9ed2-21887dfc3167 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-06T10:46:06.578910Z digest=sha256:e842e0277bd2acd1a72bd9fd867acc3bf257ab2acc8e76adae267ee0bbe62849

Observation df39e1a8-247b-4630-a54f-f82d5f965bda · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.594491Z digest=sha256:8e55ca015d71a970f97391e7c974e6d2a9e2373266bfb2eeea944bf79c48bbf0

Observation 79febd86-4708-488c-be31-1d790362a5e0 · outbound

This paper cites E.; Jordan, M.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents E.; Jordan, M

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.618316Z digest=sha256:fbcfdfda5e0f71db7bbdf7f0ca187996039a8367c9e669299c96a4151e4fe6fe

Observation 7b264565-cd45-447e-95fd-dcb14991395f · outbound

This paper cites STEVE-1: A Generative Model for Text-to-Behavior in Minecraft.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Reference 23

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source=arxiv_source observed=2026-08-06T10:46:06.636406Z digest=sha256:1957ba6e9b678509573c1d32f29823c947155d965504a1003bc34729ff85fd92

Observation 126895b4-4258-42da-8c8e-e9f3f71e9a2a · outbound

This paper cites MCU: An Evaluation Framework for Open-Ended Game Agents.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents MCU: An Evaluation Framework for Open-Ended Game Agents

Reference 24

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source=arxiv_source observed=2026-08-06T10:46:06.644932Z digest=sha256:b0246fa8654270f6d91dcb2f4a89bddda7a78ef7afe0e726b06eb36349fd328e

Observation cab06cc3-87ff-485c-97ce-71ffabcbd718 · outbound

This paper cites RL-GPT: Integrating Reinforcement Learning and Code-as-policy.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Reference 25

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source=arxiv_source observed=2026-08-06T10:46:06.648488Z digest=sha256:a0129c616161843d357ab136d5978a220ac1811a3d7d49f7e1c7c5435404e806

Observation 0ff5b519-b47a-40c5-bcda-21f21cc90be0 · outbound

This paper cites A.; Veness, J.; Bellemare, M.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents A.; Veness, J.; Bellemare, M

Reference 26

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source=arxiv_source observed=2026-08-06T10:46:06.652268Z digest=sha256:1ada749c02073cf328b9f1796e343f12b07c184449df23e0c6477db3ab7419fe

Observation 5f5febd1-2cf0-410f-a795-5da334992eaa · outbound

This paper cites Ray: A Distributed Framework for Emerging AI Applications.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Ray: A Distributed Framework for Emerging AI Applications

Reference 27

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source=arxiv_source observed=2026-08-06T10:46:06.655485Z digest=sha256:abbc84eb4fbbc95578b3fe6e696b21053fc06beddb58aa920c4c2442d24b0d13

Observation 193e8595-f78b-4c3e-94de-8610ac83ba08 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-06T10:46:06.659425Z digest=sha256:fcf6bc42125c8ca809ca00494339236c2dbb1e48a006e597875735f60ca1bf47

Observation 5f330010-8358-4935-82b8-1345ccec3ff9 · outbound

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

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 29

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source=arxiv_source observed=2026-08-06T10:46:06.662801Z digest=sha256:39ed13c46460fa1469c8914066e44a55fb3a7343fa3f114267ddb117d2d2dd23

Observation 33838605-548d-42b2-a174-21dacd88ea90 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.666447Z digest=sha256:ffc886ae7c4e65a4af7957014c99edf540bc5d41b280ca8da8c83c85e7f61500

Observation 1076ce04-8826-4339-b25e-75b8c7172e18 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-06T10:46:06.669426Z digest=sha256:a748c73346f55f694ccbf1556a0e8e2ebb221160496eb2d5e38fe8a4f8e6081c

Observation 84f4673c-2b07-4074-b0a6-b3fa025700fb · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents SAM 2: Segment Anything in Images and Videos

Reference 32

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source=arxiv_source observed=2026-08-06T10:46:06.672611Z digest=sha256:221509990ed59956606a9e79d0296e5990fe22a27f80c6ef6bd05ba38b09384a

Observation 784cd430-3f94-4a55-a7cb-e4025628b311 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-06T10:46:06.675954Z digest=sha256:e87c26bba3bb2f16e38d4a70e1bdf159a27cef95473f56706fbc186d4421ab4c

Observation 37e117a7-b55a-4f65-9b77-a3a575dc59eb · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 34

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source=arxiv_source observed=2026-08-06T10:46:06.679164Z digest=sha256:2b15949e684eb8da59d2aeac523aa72aaec8302e14b27ea5132912a0030ac16b

Observation e881201a-b114-47ed-9e7e-a6dd05ba2cc0 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Proximal Policy Optimization Algorithms

Reference 35

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source=arxiv_source observed=2026-08-06T10:46:06.682858Z digest=sha256:8bde8b0e9247220a4c1c5dffe1081d815a38740cee4bc1055c06ee1b5c91ca6e

Observation 075c5ace-8748-4044-a8b4-8ec5f6847fb8 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.686636Z digest=sha256:45794cea6e540cf729e5ee11e166068df4b4ce2020714451044623336b760e89

Observation 9e99149c-c663-4cbf-ae56-6639674d2141 · outbound

This paper cites E.; and Stone, P.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents E.; and Stone, P

Reference 37

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raw_fallback, observed 2026-08-06T10:46:07.037968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.689943Z digest=sha256:99cab74f25c3d157b171290e14f750c188b9a3c0104f225e285fe39b8477d1e0

Observation 942473f7-2efa-478a-88f1-8409c68d4d4d · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:46:07.026275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.692875Z digest=sha256:7596b2fc8b9d087ca3febd4dc940a856dda9f5140729c1efd9f75462a891ec69

Observation 7ebd922a-71f5-4144-a8a0-6833cb07a3cf · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:46:07.015579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.696305Z digest=sha256:c8b7837947632a2c2fa9621861c4d8e55a8c2fb8aea77606666bdad93b5ca5c9

Observation 44e529f0-308a-47f1-b4a7-627df5611c5d · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:46:07.005266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.699667Z digest=sha256:ce69a8a864cefc0e92f9d9590350c1fa580fd84e9ec7e6bd75c0a40b9bdf990f

Observation 4ac86ba5-f14b-4663-9fbf-e3e4db208337 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:46:06.994895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.702855Z digest=sha256:ca0d435658cb3151e9a1d478c30215ee8dbfb424f0a00f576901c6b125ddae2e

Observation 9efb801f-bde9-464d-b268-df057734cc59 · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:46:06.984235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.705549Z digest=sha256:2ec0326e25761a1b814d6ff3651a85b3880bea3a92b8e31b25f4bce4b668a396

Observation 78eee785-fce6-4440-9d72-bb69e6a085e7 · outbound

This paper cites UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:06.708666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.708666Z digest=sha256:e675ab4e50f6dc3bdbc8c3519256a828bbabae1ce92e9e639e0524b41b1ffe71

Observation 5a4069a9-02c3-4c47-8f49-c3919e4e933d · outbound

This paper cites @esa (Ref.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents @esa (Ref

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:06.712607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.712607Z digest=sha256:bede1c3bd86951380d82a7955024566f8e9d2870cc5d1118b825425623a0dec9

Observation 1853f066-2317-4041-9063-4d813152270b · outbound

This paper cites an unresolved cited work.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:06.716215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.716215Z digest=sha256:fc697c682c20b0ed6ccb67c2d077d63caa54ed1bc0e9ede95cd0de7fb1034800

Observation d087cb18-46f4-46bb-9ef9-c068c5bd63e1 · outbound

This paper cites MindAgent: Emergent Gaming Interaction.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents MindAgent: Emergent Gaming Interaction

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:06.719704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.719704Z digest=sha256:5ce734f5393012d3f7a9151f142f6a10f0d575746fa639185114afe84ec7a1ba

Pith citing papers

Observation b361ea74-116c-4cc2-a96d-f74ea5207ebf · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:49:53.911300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:fa431e7d03435b4f32b1200843d6ccd08cea01781d141b9260191e07efd156f0

Observation 23336069-bd0d-4da8-bd94-12e81418c2be · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:06:20.226388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:a22d7d3fecf002e5d02ddc42637061dde41b88bc1d2babd6e9ed4fdcd569d1e8