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Paper Citation Record · LEDGER

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.05838.

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

pith.paper-citation-record.v1
2508.05838 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:09:55.652593Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61fb4cb9-880b-4348-b47f-dea3a0d23381 · outbound

This paper cites Mask r-cnn,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Mask r-cnn,

Reference 1

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Source-reported events for the cited work

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Observation bc9e1c57-cc85-413d-bdbe-2afa957f23ef · outbound

This paper cites Yolo9000: Better, faster, stronger,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Yolo9000: Better, faster, stronger,

Reference 2

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Observation 5a0bb935-5bad-4995-a8f7-c9a2e10d0728 · outbound

This paper cites an unresolved cited work.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Unresolved cited work

Reference 3

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Observation 4db697e7-d429-46dc-ab4e-d788e2b36237 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Proximal Policy Optimization Algorithms

Reference 4

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Observation f0be7099-df7a-4c60-aef9-750e71b2f68a · outbound

This paper cites Target-driven visual navigation in indoor scenes using deep reinforcement learning,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Target-driven visual navigation in indoor scenes using deep reinforcement learning,

Reference 5

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Source-reported events for the cited work

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Observation 98f470db-67ca-4ca1-80af-7b227764bca3 · outbound

This paper cites Cognitive mapping and planning for visual navigation,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Cognitive mapping and planning for visual navigation,

Reference 6

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Source-reported events for the cited work

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Observation 3802a023-6a20-4a6a-beec-996ae525829d · outbound

This paper cites Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation,

Reference 7

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Source-reported events for the cited work

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Observation 904abb9a-a45f-4c34-9073-0a7d701a6189 · outbound

This paper cites Learning dexterous in-hand manipulation,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Learning dexterous in-hand manipulation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a20d250f-7bb4-484d-b64a-f136155ce21e · outbound

This paper cites Concept2robot: Learning manipulation concepts from instructions and human demon- strations,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Concept2robot: Learning manipulation concepts from instructions and human demon- strations,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3c791e4d-e321-4a72-9776-e3b072a9cd4d · outbound

This paper cites Robots that use language,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Robots that use language,

Reference 10

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Observation 18a68691-f489-46ef-8be8-abdec5ac50de · outbound

This paper cites YOLOv5 by Ultralytics,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction YOLOv5 by Ultralytics,

Reference 11

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Source-reported events for the cited work

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Observation a49ed6bb-5387-46d6-ac00-8309e67a4798 · outbound

This paper cites Segment Anything.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Segment Anything

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78d2c553-7450-48de-9bfc-cc78f2d38056 · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 13

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Observation 0185f790-57db-4b72-9ca5-04196379eb58 · outbound

This paper cites Reinforcement learning in robotics: A survey,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Reinforcement learning in robotics: A survey,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 01dd3e8e-f208-4f10-aeb0-0f6cee61339e · outbound

This paper cites Continuous control with deep reinforcement learning.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Continuous control with deep reinforcement learning

Reference 15

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Observation 052d3dbe-d179-4ad8-9a0e-e885d127def9 · outbound

This paper cites End-to-end training of deep visuomotor policies,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction End-to-end training of deep visuomotor policies,

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 22f7918e-bd78-4ae3-9aed-c1dd6fc49f22 · outbound

This paper cites Trust region policy optimization,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Trust region policy optimization,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ebe9380b-fbc7-4fa1-b190-284278198cdc · outbound

This paper cites Emergence of Locomotion Behaviours in Rich Environments.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Emergence of Locomotion Behaviours in Rich Environments

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 61be4019-8a45-4ffd-b508-efae4915f10f · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: A survey,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Sim-to-real transfer in deep reinforcement learning for robotics: A survey,

Reference 19

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Observation 614da88d-65c2-40f2-9907-03d9670b1ee7 · outbound

This paper cites Deep reinforcement learning for robotics: A survey,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Deep reinforcement learning for robotics: A survey,

Reference 20

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Source-reported events for the cited work

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Observation 0224ef50-1226-496a-8e8e-432f864390e0 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Human-level control through deep reinforcement learning,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6709528f-22d5-4b31-b6e5-91ff93367e7a · outbound

This paper cites Visual representations for semantic target driven navigation,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Visual representations for semantic target driven navigation,

Reference 22

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Source-reported events for the cited work

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Observation 446fe3cf-4e90-4693-ad68-63ca4ece1a27 · outbound

This paper cites Object goal navigation using goal-oriented semantic exploration,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Object goal navigation using goal-oriented semantic exploration,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48f80a92-3b5b-4a6f-a956-0efb248de95c · outbound

This paper cites Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation,

Reference 24

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Observation fe3d4789-8ed5-4517-a1d7-e24501c1217d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9335984e-f5f0-4dc4-b568-64e33d9bf939 · outbound

This paper cites Habitat: A platform for embodied ai research,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Habitat: A platform for embodied ai research,

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 682675f2-eb34-4f70-8043-fec33ea4cb82 · outbound

This paper cites Gibson env: Real-world perception for embodied agents,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Gibson env: Real-world perception for embodied agents,

Reference 27

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 40f6f483-63b4-4e6d-979e-9650a39f6fea · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction Pytorch: An imperative style, high-performance deep learning library,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.