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Paper Citation Record · LEDGER

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2411.12503.

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

pith.paper-citation-record.v1
2411.12503 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:30:14.628682Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:49:50.892722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:49:53.658953Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4276f3a6-404c-4aac-8e13-479352e20ea6 · outbound

This paper cites Trends and challenges in robot manipulation,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Trends and challenges in robot manipulation,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.425681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.425681Z digest=sha256:85d5522a86453a4cd562e538e2923b13c2a765d038160c4ba724b8270717b8d7

Observation 9253cbb0-3ff1-4a7e-8d32-757f7813647a · outbound

This paper cites ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.586793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.437444Z digest=sha256:62eb957660a5fc74d9a8ed4b4607551d50866e2a60ba30ce7cdd612665b479d0

Observation 388b5f97-a511-49c0-b2f1-5b71d1af075a · outbound

This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.537880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.446821Z digest=sha256:2aa940d899d093f863d7432bc3a2fbfc1bf8b5f743a7e754975981e8c659c836

Observation d7f80f85-7d2f-4666-97f0-8495fba9477b · outbound

This paper cites Physics-informed model-based rein- forcement learning,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Physics-informed model-based rein- forcement learning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.435350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.463887Z digest=sha256:a4ee830110025e52fbdfeaf82ad7b66518680f422d0a8e7923fd7f0fde163d6c

Observation 13d9e01b-a7d1-4569-8934-3a781cf220cc · outbound

This paper cites Tossing- bot: Learning to throw arbitrary objects with residual physics,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Tossing- bot: Learning to throw arbitrary objects with residual physics,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.482632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.482632Z digest=sha256:8f9b2bfcdde565cb0e1b360dbbe16059f763a288957c3e2e9d589822133f971e

Observation 50f07381-80b6-45f2-9493-736648929051 · outbound

This paper cites Mujoco: A physics engine for model- based control,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Mujoco: A physics engine for model- based control,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.492611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.492611Z digest=sha256:0d145012ea7330ba03b5e65a5751e9ea821baa887c22935ea42d8155fd85bbb0

Observation 3d51c350-e4bd-47d5-b22d-aa692ac85853 · outbound

This paper cites Digitac: A digit-tactip hybrid tactile sensor for comparing low-cost high-resolution robot touch,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Digitac: A digit-tactip hybrid tactile sensor for comparing low-cost high-resolution robot touch,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.270844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.503327Z digest=sha256:0c9ceedc17a74a6e3ec8c6a45a149d8a83a3317ada26cff7410c02ad4b2e9c17

Observation 6e617aa5-bb5c-4a99-b755-6c619bd505ae · outbound

This paper cites UniTeam: Open Vocabulary Mobile Manipulation Challenge.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing UniTeam: Open Vocabulary Mobile Manipulation Challenge

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.509869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.509869Z digest=sha256:5a60d494468349dc9d3fa7e1f9798dbbe6ad900e35a884b53abd34fb2521b0ad

Observation 34ea834a-00a3-4460-b9f0-89fb556ad7ba · outbound

This paper cites HomeRobot: Open-Vocabulary Mobile Manipulation.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing HomeRobot: Open-Vocabulary Mobile Manipulation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.519709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.519709Z digest=sha256:59a41a2caf72ff4f436bc4985a785abc93507c2df9d2420c429bf02db2821780

Observation 79133c1f-72ce-48cf-80bf-8ad7168d15bb · outbound

This paper cites Arnold: A benchmark for language- grounded task learning with continuous states in realistic 3d scenes,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Arnold: A benchmark for language- grounded task learning with continuous states in realistic 3d scenes,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.240226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.535929Z digest=sha256:c7a79d6a494f46cea472568690b4eba081f924f7437ae1b60ccbb10b8ca9f93a

Observation 33e09b0d-195f-4bf0-b0a6-7a06d3b71942 · outbound

This paper cites ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.543176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.543176Z digest=sha256:44d5d803d2474dca6a7501767a74a582e2bf6608fff4d7b9dd540a95b22938da

Observation 59f88477-a832-47ab-8708-c5cba26e1c09 · outbound

This paper cites Tactile-sensing technologies: Trends, challenges and outlook in agri- food manipulation,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Tactile-sensing technologies: Trends, challenges and outlook in agri- food manipulation,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.555297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.555297Z digest=sha256:d06c3b7521e18613a1e6d37c503be6c96d11c5dba5c3ead57e6e6070f21b49ad

Observation 964a4175-b541-4285-ae68-79cc7aff313a · outbound

This paper cites Sapien: A simulated part-based interactive environment,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Sapien: A simulated part-based interactive environment,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.181645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.574566Z digest=sha256:d06e5da078160613ed8c5ef6fe9574162e8ac3dd01dbad34dd1d1069bc3e98d6

Observation 10cbcbae-9b88-4b41-b3b5-cc9e04295941 · outbound

This paper cites Incremental potential contact: intersection-and inversion-free, large-deformation dynamics.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Incremental potential contact: intersection-and inversion-free, large-deformation dynamics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.091554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.585874Z digest=sha256:a2bfedb08bd202b03554459f790a3e5634e7c58fad0808f9aa795d471d83d8d8

Observation 5a72d0e5-c357-41d9-b38f-8f57f20391e9 · outbound

This paper cites Close the optical sensing domain gap by physics-grounded active stereo sensor simulation,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Close the optical sensing domain gap by physics-grounded active stereo sensor simulation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:15.047748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.601305Z digest=sha256:4891880691777c6148e4b59e24b0b7fbca08d8e4cd670b7c49de772bc6c95686

Observation 5655848e-fb20-45b8-b4d8-6f8bff04a6c9 · outbound

This paper cites Segment anything,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Segment anything,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T17:30:14.609948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:30:14.609948Z digest=sha256:2157947f7bc2dc3baf33000d259359b06a888f94211a31ff2528e5167231f4dc

Observation 821c1e38-1b23-429c-99a7-39c41b5539fe · outbound

This paper cites General- purpose sim2real protocol for learning contact-rich manipulation with marker-based visuotactile sensors,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing General- purpose sim2real protocol for learning contact-rich manipulation with marker-based visuotactile sensors,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:14.940945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.621163Z digest=sha256:fde1286d317e436ce4d19d07782e62d3b1fa800df791a58fefff2d657b0e545b

Observation 3b3bf6b8-5ad0-49ee-9237-fdad9c766644 · outbound

This paper cites Twin-delayed ddpg: A deep reinforcement learning technique to model a continuous movement of an intelligent robot agent,.

ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing Twin-delayed ddpg: A deep reinforcement learning technique to model a continuous movement of an intelligent robot agent,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:30:14.904321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T17:30:14.628682Z digest=sha256:d91d77b2e81915e77f9e4a823b8a77d1a64386421c11af76cb934c54f8b598e5

Pith citing papers

Observation c2b78eaf-27a2-4ae7-b377-a2f1a8cc9baa · inbound

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop cites this paper.

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:49:53.708941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:49:50.892722Z digest=sha256:a4c1684acb3956e2299f0529620e5264493d254a9e696592ef67e0df5b736671

Observation eb03c44e-80d6-407e-b809-1b9ffc1dad74 · inbound

Data Pyramid for Embodied Manipulation: A Survey cites this paper.

Data Pyramid for Embodied Manipulation: A Survey ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing

Reference 190

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.725284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.725284Z digest=sha256:b9b49725d72f2620d2b9a742c7dfa3bd5a34b1ec6b5f54b229498bf6915e808a