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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.403534Z digest=sha256:791e70123ce2c3ac99a878334bc8ae757d126d9abcebf67548caa21a6049e0f6

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:a8b76e9e8c05ac9d78e0a5331938506f80ff2ab30c47ff971deb2021fefba54e

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=sha256:409a8d9a24b9220a86dbe1000a48cf255d1d902409cb77fb5be11f2fd7afa784

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.419963Z digest=sha256:f6e2dc587371a60d281c342e853873b6c77e23f2eaa8fd8e7e0d70fa0f11b048

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=sha256:10531003cd44cf9893bb9c611a866c8fad8eac35bd1637f697042f9c2e5a3d4e

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=sha256:946a4efbb0755ec74a5bef409b307e9402661b4a418345e00ac6bbc408d0e68a

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=sha256:083c8f2260fb4c1ad52c1abd3236dd244908d54112b33d2e661d1c46ee897e7b

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=sha256:9cdf757ef56e1d1607d637145f71bb5d225e58697171afe76d4a60e56ebd463c

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=sha256:65cc40029bd2d1915b211d3d3713190889166dae033be430e989a3414c8e688f

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=sha256:40cbb23d8bd2d37a8f2edee82d3dbe8f95885ff919a16d40901848c1390919fb

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:e5774f0179f03db5e8c43e83d154248979a40cb1bc939fa788eb108bd241ad6e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.451722Z digest=sha256:7c27cfe141183003effcfaefc4463a9437498fa2d0129b760cd99cc4d5ed23d7

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.454862Z digest=sha256:806d8b0d7eaff3fd776155167fb15ecd691526d871199bea230484aa0f5b557e

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:b4cdf2609ea73c24d250d4634d4da2953c16f419973958a57a35f63140250441

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=sha256:5a4f20e4cfb9d92b0c78e5da373a7112601cd86fc79d9933d9e007df811387b6

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=sha256:6354f563719057fb6145f903ebb31defae90adccba904722da8c71749f4d0f40

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=sha256:45ad1d833bba21773c17ebe54123d9820dc2800968f7e1dcdff4278a72cbb155

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.543613Z digest=sha256:cf4f1d78a9c89052f7b349d0350164ea6f219761c2441fd7cdc7a5bf74706713

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=sha256:9224018d2f668468e668066f3fbc2059b1ce924ba1c17bda37aa454441a63579

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=sha256:3096e8490c6ba4302e3ce2d8b7057535fbff1b9034a975d05d2ef5f6bc651d65

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.594491Z digest=sha256:edbe01eeed0425408ce04b63f8045b00cf2ea3de7f08defbe7fda8a3d392c0e9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.618316Z digest=sha256:0c98a02b22b76b5e0842c564607989df53609072779d329e3bb657f23c3fced5

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=sha256:94b4c638c5930ddb40ca048ef7e7204acde2fceabde8cd8bb7dcb72ed03dc85b

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:d37c80fb983c8f6744c0f6a87a7fe1080e5d6fb0ee118de20677fc89f33a5d58

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:b7b26c3812b497a40393bdf2d0c29569e5d6dfc748da6020c53d847c69db3898

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:bf5fbdd62a6182ca679af0b64ed45a8cb5385a87912d2fc19893cb22f7305b06

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:a24f75132ce8811cd53d5309dd3c527ecca74e7de8b1ac5098a71a41cf9d09ec

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=sha256:3cd09c82cfe570b6c8dce1281f53900a142f96fb0082a228fede845aec6e0e6e

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=sha256:0d247a50ede5a33426c5b373f972c1a0d18a93a2c2dd76bc80fe0df134d809cb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.666447Z digest=sha256:ed4600df21ed8c1c7743117f4b70a14458a486474dded9f8f3967bd476ccc06e

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=sha256:17fb213964c4f5a84578d5b74cbd63ab196d1810dc17c5ae9355407848ee2f1c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.672611Z digest=sha256:f9970f08f34f1e41132a85982c93822f67b92e3ac4c0ed19d7daa89148699fb6

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:06.675954Z digest=sha256:0114ef59ab5f924f1d4c2bf6e107e86a6d3af0993647a91c50e5ee956519327f

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:ddaba5ab431e68c3b160718c6e83457fb71e35c7b8d650bfb811cf0e344b00ce

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:e970f40aceaef6b3ebb56d9f4e66c3c9da0484054221f3f671698195ca7643f3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.686636Z digest=sha256:90a9fe46c8e849f0e8d0b307a073c959e83ee4507ad48472a0bc88bca322882d

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.689943Z digest=sha256:8641865a2c6b04267205fa7a27d9ec63454bac57aecb688896d66b08209951d0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.692875Z digest=sha256:454bf821865d515fc05e9f7e3c3f2188642553063ccf98685647332a63ed6dfd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.696305Z digest=sha256:8d0c48923be4fd2d0ebacd2311ef84d83af75b9de09e92e1ea0dd7237fe5bdac

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.699667Z digest=sha256:dfd3d9a5c61b6238dc4bec148d596b7e68bf02d33b0d4eedefae1a943d7a2cb7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.702855Z digest=sha256:0f500c663f2bbe9950042620d3e8c24b7c5c157c2f43116d78901ffe7386b099

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T10:46:06.705549Z digest=sha256:deda48bcdf6bde8ed895c85a00dd1e94ee770cfdbb537417607e513119a95350

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:f15d696ae8632dcedccfef795104786fbef08c8c698ead67b1ce5d8d9f4735a5

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=sha256:342ff79e3abe0cb2db86c821c39cdbe825a36a4b77617c47a9d6f8fc1469717d

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=sha256:5e4e60d0e06b7c48f3244a4f8e6110471cf739eacc510344fe592e22ef1b8cbc

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=sha256:7d4950e7810a9043cee60c8553dd1114720910821e3d1d7837cd9f9eb5e69da8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:14d862dcafbff48570ccc9160c1e57a715180aaa7ec1629f791c2c2a5309c11e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:f3a05311fbbabbd4e1487c89b9cc317837589806349e7a744c4ee524b0979634