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Paper Citation Record · LEDGER

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.12024.

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

pith.paper-citation-record.v1
2401.12024 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:09.177915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:46:59.743167Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 277a0eba-7f2b-4917-8425-ffd971fa4dea · inbound

ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations cites this paper.

ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:47:42.351404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:42.351404Z digest=sha256:73de93335150ed17ee8996b17444185bb37a994b4efcc6e8b05fc3f6b62fa87e

Observation 54d76568-b424-4318-ae7c-a5cd31af6717 · inbound

Multi-Modal Manipulation via Multi-Modal Policy Consensus cites this paper.

Multi-Modal Manipulation via Multi-Modal Policy Consensus Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:51:20.261602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T11:50:20.766891Z digest=sha256:cb4876fcc9b44d02d11ac80798ea43da9500897e671ecfdaf2cd8b5d62fb5076

Observation 4a6d2907-fbcf-4c2d-97b6-67a847369b3f · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:05:15.576219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T21:04:41.766964Z digest=sha256:518f4940e83afb5cc372e13de50319e88b6ff9a8d2ab333a7809a3808eae65c2

Observation a0d627a3-9077-43fc-bc29-e1efbec41fa8 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T21:40:43.593693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:40:43.593693Z digest=sha256:659b0038d2bd736e33e9a94a35266e440df530dc8506b8c3e5bae17237dcbfdb

Observation 8d505a5a-44ed-4fb6-b4d9-e5dc90c879af · inbound

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems cites this paper.

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:16:27.614372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T06:57:58.409411Z digest=sha256:610d567005c1252acb24286fbc2f800ef6ad94e6a8bf6dab1052d35459da1c3d

Observation 29b436c9-947b-43b4-af56-6700cb1963ae · inbound

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation cites this paper.

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:59.744831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T00:58:25.323475Z digest=sha256:1d6e879ff9457de10c7da9e9137a74ef1ded1e7fcb20c04eb41d9e956f335984

Observation e5deb763-caed-4b28-8541-e0435e50819e · inbound

AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion cites this paper.

AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T00:35:09.177915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:09.177915Z digest=sha256:5184fca4e1b3f020d71f92906b695452f0782cbaf3f9710cf4ca7aaada1b48e5