Paper Citation Record · LEDGER

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning

As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.04620.

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

pith.paper-citation-record.v1
2507.04620 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:47:56.171603Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

35 of 35 outbound references displayed

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verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1674ea22-18ab-41e8-b851-34c4c575ad6d · outbound

This paper cites Impedance learning for human-guided robots in contact with unknown environments,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Impedance learning for human-guided robots in contact with unknown environments,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.896386Z

Source-reported events for the cited work

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Observation be06f32f-3032-4b5d-909e-e4d4dc4efa5f · outbound

This paper cites Human observation-inspired uni- versal image acquisition paradigm integrating multi-objective motion planning and control for robotics,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Human observation-inspired uni- versal image acquisition paradigm integrating multi-objective motion planning and control for robotics,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.880742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c196ecab-cabc-4369-9716-552e1451253b · outbound

This paper cites Adaptive- constrained impedance control for human-robot co-transportation,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Adaptive- constrained impedance control for human-robot co-transportation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.864651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce810cad-f633-42b3-9e0f-1abfa0946d89 · outbound

This paper cites Towards proactive safe human-robot collaborations via data-efficient conditional behavior prediction,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Towards proactive safe human-robot collaborations via data-efficient conditional behavior prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.727997Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7cdb02c6-5821-469e-81e9-cb9fbcc9dff9 · outbound

This paper cites Hierarchical human motion inten- tion prediction for increasing efficacy of human-robot collaboration,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Hierarchical human motion inten- tion prediction for increasing efficacy of human-robot collaboration,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.711696Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43cc81cb-b0be-43a1-9dd1-1d1a33b672ca · outbound

This paper cites Follow the force: Haptic com- munication enhances coordination in physical human-robot interaction when humans are followers,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Follow the force: Haptic com- munication enhances coordination in physical human-robot interaction when humans are followers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.694148Z

Source-reported events for the cited work

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Observation c9a6ca62-98ae-4cc3-bd05-f91a1d5dc6e9 · outbound

This paper cites An online human dynamic arm strength perception method based on surface electromyography signals for human-robot collaboration,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning An online human dynamic arm strength perception method based on surface electromyography signals for human-robot collaboration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.675118Z

Source-reported events for the cited work

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Observation 45ececfe-1bc9-42bb-a4d6-757fed452299 · outbound

This paper cites Roboagent: Generalization and efficiency in robot ma- nipulation via semantic augmentations and action chunking,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Roboagent: Generalization and efficiency in robot ma- nipulation via semantic augmentations and action chunking,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.658382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a650dc3-576b-4b9c-90e9-1d25d60905f1 · outbound

This paper cites Openvla: An open-source vision-language-action model,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Openvla: An open-source vision-language-action model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.640166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ec0ebd1-7d0b-47ea-a5fa-0db36e7a031d · outbound

This paper cites Extract: Efficient policy learning by extracting transferable robot skills from offline data,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Extract: Efficient policy learning by extracting transferable robot skills from offline data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.623696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 562aaea5-a21a-4cc1-a435-b6f7215aebfb · outbound

This paper cites Modem: accelerating visual model-based reinforcement learning with demonstrations,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Modem: accelerating visual model-based reinforcement learning with demonstrations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.608224Z

Source-reported events for the cited work

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Observation 4f0fa177-c508-4816-8aa1-34b40fe09cb5 · outbound

This paper cites BAKU: An efficient transformer for multi-task policy learning,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning BAKU: An efficient transformer for multi-task policy learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.591175Z

Source-reported events for the cited work

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Observation 671f9f3a-443c-4d8d-b475-021f373ed060 · outbound

This paper cites Model-free online neuroadaptive controller with intent estimation for physical human-robot interaction,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Model-free online neuroadaptive controller with intent estimation for physical human-robot interaction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.575628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da88072c-fe01-4f65-b7a5-d106ce0585dc · outbound

This paper cites A human-robot collaboration controller utiliz- ing confidence for disagreement adjustment,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning A human-robot collaboration controller utiliz- ing confidence for disagreement adjustment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.560313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff7243b2-1e62-484e-89eb-549ccb834cf6 · outbound

This paper cites Learning human motion intention for phri assistive control,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Learning human motion intention for phri assistive control,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.544258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad8ecb80-a357-412a-bbe7-35fc44f1d75d · outbound

This paper cites Constraint-aware intent estimation for dynamic human-robot object co-manipulation,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Constraint-aware intent estimation for dynamic human-robot object co-manipulation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.527672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5852c9c-e851-4969-91ad-da6a444c71f5 · outbound

This paper cites Human-inspired adaptive optimal con- trol framework for robot-environment interaction,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Human-inspired adaptive optimal con- trol framework for robot-environment interaction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.512180Z

Source-reported events for the cited work

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Observation fd21ca3c-c093-4153-ba66-e147b93e4830 · outbound

This paper cites Role dynamic assignment of human-robot collaboration based on target prediction and fuzzy inference,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Role dynamic assignment of human-robot collaboration based on target prediction and fuzzy inference,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.495531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1b75289-762f-4639-bdce-bebcf3cbe448 · outbound

This paper cites Shared navigational control and user intent detection in an intelligent walker,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Shared navigational control and user intent detection in an intelligent walker,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.479131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1475e13-c05c-4dc0-bfe5-24a8d44e86c3 · outbound

This paper cites A characterization of the effect of limb position on emg features to guide the development of effective prosthetic control schemes,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning A characterization of the effect of limb position on emg features to guide the development of effective prosthetic control schemes,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.461533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ed00c1a-af74-4946-bbee-c215f262b812 · outbound

This paper cites Hybrid recurrent neu- ral network architecture-based intention recognition for human-robot collaboration,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Hybrid recurrent neu- ral network architecture-based intention recognition for human-robot collaboration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.442929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09a80161-3fe1-4f38-8fe9-df09ff0794be · outbound

This paper cites Robot trajectron: Trajec- tory prediction-based shared control for robot manipulation,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Robot trajectron: Trajec- tory prediction-based shared control for robot manipulation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.426261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daa2101f-f1f3-4b08-9ce6-2509550e73b6 · outbound

This paper cites DTRT: Enhancing human intent estimation and role allocation for physical human-robot collaboration,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning DTRT: Enhancing human intent estimation and role allocation for physical human-robot collaboration,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.409955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca2ac78f-fd02-4ddc-bc3c-68e40f306281 · outbound

This paper cites Learn to grasp via intention discovery and its application to challenging clutter,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Learn to grasp via intention discovery and its application to challenging clutter,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.393552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b8e1bc3-4239-47b3-bca6-9dcc95cc0578 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.376231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e420681f-5b92-4ca8-a7dd-db115650ac9d · outbound

This paper cites Perceiver-actor: a multi- task transformer for robotic manipulation,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Perceiver-actor: a multi- task transformer for robotic manipulation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.359220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b48127a7-1d5e-4066-bdb2-20c4f38d154f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Learning transferable visual models from natural language supervi- sion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.342364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6e2a6e1-c165-4175-bcea-59d51d1e44fd · outbound

This paper cites Sigmoid loss for language image pre-training,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Sigmoid loss for language image pre-training,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.326280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19e65c1e-c8fa-42b0-84ee-fbd8d4e52d1e · outbound

This paper cites Adaptive compliance policy: Learning approximate compliance for diffusion guided control,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Adaptive compliance policy: Learning approximate compliance for diffusion guided control,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.309470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9386c19-d948-4e38-bba6-d880b48f8ccd · outbound

This paper cites Deep residual learning for image recognition,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Deep residual learning for image recognition,

Reference 30

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Source-reported events for the cited work

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Observation 18333da8-e199-4799-98b4-8512f611c7e1 · outbound

This paper cites Minilm: deep self-attention distillation for task-agnostic compression of pre- trained transformers,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Minilm: deep self-attention distillation for task-agnostic compression of pre- trained transformers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.279200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47dc3c00-932d-4985-8247-a191c01b23ff · outbound

This paper cites Sentence-BERT: Sentence embed- dings using Siamese BERT-networks,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Sentence-BERT: Sentence embed- dings using Siamese BERT-networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.262298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86ae11d5-373b-4d57-8ce0-76cbf2c75b11 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Film: Visual reasoning with a general conditioning layer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.245723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed7b08d2-e758-4a99-82c3-23523c50db36 · outbound

This paper cites Serl: A software suite for sample- efficient robotic reinforcement learning,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Serl: A software suite for sample- efficient robotic reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.228220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c483566-b59a-4b06-bcfa-6450b9ceeda2 · outbound

This paper cites Libero: benchmarking knowledge transfer for lifelong robot learning,.

IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning Libero: benchmarking knowledge transfer for lifelong robot learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:56.211545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

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