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Paper Citation Record · LEDGER

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2505.11858.

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

pith.paper-citation-record.v1
2505.11858 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:05.710428Z

measured 44 of 44 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:49:23.693923Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact14
  • verified fuzzy14
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 23934e47-7105-4e03-96ed-58bc9c5d70a6 · outbound

This paper cites Automatic synthesis of fine-motion strategies for robots,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Automatic synthesis of fine-motion strategies for robots,

Reference 1

Resolution
verified exact
doi, observed 2026-08-15T20:50:05.753718Z

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.

source=pdf_text observed=2026-08-15T20:50:05.544282Z digest=sha256:22de03dcf6d294000eb5f4626c667370b77283900868574dfdc0f813ddc3061b

Observation cb184030-2850-468e-befb-2b557e59a7bf · outbound

This paper cites A framework for fine robotic assembly,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies A framework for fine robotic assembly,

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.508142Z

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.

source=pdf_text observed=2026-08-15T20:50:05.548922Z digest=sha256:8e8c2ef4b1d513d972e0e2a57bef4ef52d401538a8830324ebdefe82298e3585

Observation ce92fa90-198d-44b5-ad46-ae91cd077cab · outbound

This paper cites A robotic peg-in-hole assembly strategy based on variable compliance center,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies A robotic peg-in-hole assembly strategy based on variable compliance center,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.431666Z

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.

source=pdf_text observed=2026-08-15T20:50:05.562492Z digest=sha256:8a705785d1faec9f4ac7812b23ec6b4d0c94670c69d58b3619422664b28c6849

Observation 6a136b1b-7f18-4a11-8aea-83ab9b775b0f · outbound

This paper cites Towards generalized robot assembly through compliance-enabled contact formations,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Towards generalized robot assembly through compliance-enabled contact formations,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.665956Z

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.

source=pdf_text observed=2026-08-15T20:50:05.567279Z digest=sha256:2d90913f1fffb69f51595e47a7c97d1ec752aa778032df0966dd1c96b38d1b0f

Observation 187e3fe5-94dc-4e82-a3a6-9934c9c19c48 · outbound

This paper cites 1 khz behavior tree for self-adaptable tactile inser- tion.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies 1 khz behavior tree for self-adaptable tactile inser- tion

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.655739Z

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.

source=pdf_text observed=2026-08-15T20:50:05.571337Z digest=sha256:7fbfc67d6bcc59412f9f06e11f1ff81af0c7e4e5a8a0f758a013e6b6a2bff3d6

Observation 7f562ee2-3cbf-49dc-aa05-ae4aa9fa4396 · outbound

This paper cites You only demonstrate once: Category-level manipulation from single visual demonstration,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies You only demonstrate once: Category-level manipulation from single visual demonstration,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.644937Z

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.

source=pdf_text observed=2026-08-15T20:50:05.575351Z digest=sha256:5b8cd47112f2d94c1d25f1dcb3878a73a362173d5533376643fd74307dd6f64b

Observation 41a63501-0667-48a5-ae01-9ba92351caa5 · outbound

This paper cites Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:50:06.365022Z

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.

source=pdf_text observed=2026-08-15T20:50:05.584069Z digest=sha256:c2bc0c0585283e6bed1fa2d94155e5a0b9bc4b610bafe5386fde897c2a932898

Observation 98615797-8560-4e2b-b1fa-cee69e9a3f2a · outbound

This paper cites IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality

Reference 9

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unresolved
no resolver link, observed 2026-08-15T20:50:05.589650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.589650Z digest=sha256:43e0136a7057e12322ff86669648deb16bd05592b5728741dd917396119f0a94

Observation 1278abb0-ef65-49bb-a4a5-ca818ab2d3c7 · outbound

This paper cites SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.594103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.594103Z digest=sha256:305f888f601ec0d2641491cf1e7d3ccbb76b2b8e8b8990a0bf74dbec798694bb

Observation fa0b5435-a450-4a9f-963a-d4b225a30317 · outbound

This paper cites Learning assembly tasks in a few minutes by combining impedance control and residual recurrent reinforcement learning,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Learning assembly tasks in a few minutes by combining impedance control and residual recurrent reinforcement learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.622725Z

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.

source=pdf_text observed=2026-08-15T20:50:05.602656Z digest=sha256:0cccd9c37f4c5e4cd546d28bcdd8c4d342dd9f73cf7c1cd2085e39e67ea11f3d

Observation 9d08995c-f15e-41ec-8e1d-4dd6bbc1438c · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 12

Resolution
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no resolver link, observed 2026-08-15T20:50:05.606607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.606607Z digest=sha256:9f2190dc9b355e58e897769c41113b6ec54bca645212facd22b4c0a208fdfb78

Observation ad796901-e1f1-4c7d-8141-862a50abc051 · outbound

This paper cites Assemble them all: Physics-based planning for generalizable assembly by disassembly,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Assemble them all: Physics-based planning for generalizable assembly by disassembly,

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:50:05.610795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.610795Z digest=sha256:931f08fc6b178fdfd23923c7b2622a277b3f2f4ffec119fb9f666d29d06ae4f4

Observation 57375dd2-9f44-44a6-97b6-d0eb33d7b7d2 · outbound

This paper cites Fast robust peg- in-hole insertion with continuous visual servoing,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Fast robust peg- in-hole insertion with continuous visual servoing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.610629Z

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.

source=pdf_text observed=2026-08-15T20:50:05.614385Z digest=sha256:7c0faa2f9c225f0a8d0ea8111c31e942698a98a029fca1e3a4e479ba68113a0a

Observation 1a4dbffc-43a7-4775-a930-5b79a3ed0b8a · outbound

This paper cites Compliant peg-in-hole assembly for components with grooves based on attractive region in environment,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Compliant peg-in-hole assembly for components with grooves based on attractive region in environment,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.599884Z

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.

source=pdf_text observed=2026-08-15T20:50:05.617697Z digest=sha256:3a7926b1208a0c02df2cfb6bf6df32f55e5e8e49286f79affecfd91abef30a8b

Observation 62648566-cbd0-4c18-90f3-afc426f60bc5 · outbound

This paper cites Pomdp-guided active force-based search for robotic insertion,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Pomdp-guided active force-based search for robotic insertion,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.246625Z

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.

source=pdf_text observed=2026-08-15T20:50:05.621570Z digest=sha256:e0433b514ebf6cc0312c801f8fbb41a9175096977b6cf1bbb0bd1e033f6c4602

Observation 16f4ce64-e4b6-461a-8770-b45491f054ae · outbound

This paper cites Integrating combined task and motion planning with compliant control: Success- fully conducting planned dual-arm assembly motion using compliant peg-in-hole control,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Integrating combined task and motion planning with compliant control: Success- fully conducting planned dual-arm assembly motion using compliant peg-in-hole control,

Reference 17

Resolution
verified exact
doi, observed 2026-08-15T20:50:05.742303Z

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.

source=pdf_text observed=2026-08-15T20:50:05.626151Z digest=sha256:94d385019d76091ded01f8fea3a4f136f535379dc5f131cc4ec026deaf07804f

Observation e978055d-fea0-4856-810e-3b17925b0463 · outbound

This paper cites Search strategies for peg- in-hole assemblies with position uncertainty,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Search strategies for peg- in-hole assemblies with position uncertainty,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.588085Z

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.

source=pdf_text observed=2026-08-15T20:50:05.630033Z digest=sha256:6ffe3bb6e01d8832e3b5ffbdc174b506f8ca05f44381afd9aa077004a3b28f2d

Observation 134557df-c656-42db-a9c8-f487655c6a99 · outbound

This paper cites Uncertainty-driven spiral trajectory for robotic peg-in-hole assembly,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Uncertainty-driven spiral trajectory for robotic peg-in-hole assembly,

Reference 19

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.186900Z

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.

source=pdf_text observed=2026-08-15T20:50:05.634551Z digest=sha256:836b597ea10991d31173e65df037a3b810741b4191cc4bd46cfe1c4ae11a3c7d

Observation 76a6aedd-a6e6-48c1-a9ab-d74f0f962a32 · outbound

This paper cites Insertionnet-a scalable solution for insertion,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Insertionnet-a scalable solution for insertion,

Reference 20

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.131425Z

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.

source=pdf_text observed=2026-08-15T20:50:05.638590Z digest=sha256:0ce0b8a8004ebb33b4ee7a74496572ebe759c4c50d83080a9dd99a9cde17eced

Observation 3e979778-2e84-40f7-be16-14a6747f3473 · outbound

This paper cites Insertionnet - a scalable solution for insertion,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Insertionnet - a scalable solution for insertion,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.577303Z

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.

source=pdf_text observed=2026-08-15T20:50:05.642075Z digest=sha256:41dff2f8b1a66ec2468096117fe0ddde5e2b7c359ba5d0318c3559c049db1391

Observation a7e87b55-dbba-48cf-94b7-ab7ef27d87fa · outbound

This paper cites Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

Reference 22

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unresolved
no resolver link, observed 2026-08-15T20:50:05.645478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.645478Z digest=sha256:7992fb2f4112d983d02f21d2ab46af437f14f80cd8befec6e7447057271b657c

Observation 4f8492ae-571d-4d0a-961d-156875d1d89d · outbound

This paper cites You only demonstrate once: Category-level manipulation from single visual demonstration,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies You only demonstrate once: Category-level manipulation from single visual demonstration,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.566444Z

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.

source=pdf_text observed=2026-08-15T20:50:05.649036Z digest=sha256:f186389ad020e7a1e51cdb213716394efb3ac7f20f34851c999bfcd4de8446d3

Observation fea4473b-8bde-4e82-a478-fe0fdae7154e · outbound

This paper cites Automate: Specialist and generalist assembly policies over diverse geometries,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Automate: Specialist and generalist assembly policies over diverse geometries,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.554504Z

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.

source=pdf_text observed=2026-08-15T20:50:05.652305Z digest=sha256:730ee4dd9835addc27f69ee97f07ce8cf88959900e60eb91e2420a1317eb3d24

Observation 265332d9-773c-4717-a167-e76e09f971dd · outbound

This paper cites Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.655798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.655798Z digest=sha256:481de1a2bc5b44dd3298eaa7e9af944444e7dc6d341ac1a39955b6f3fde1f879

Observation 523fbe7d-ba43-4839-9510-374b564408ed · outbound

This paper cites Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:50:06.039435Z

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.

source=pdf_text observed=2026-08-15T20:50:05.660803Z digest=sha256:9675114d82afebb84856e623c423dd1764a6950b8359363a95e749e3afd1e02e

Observation 7e10d01c-c3b3-441d-9daa-dedccbb1b57f · outbound

This paper cites Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.664135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.664135Z digest=sha256:811879d43a0e9f640237eb33b18fce3ff85af4961cc281253e667267516a742a

Observation 6b821479-2d11-43b4-9d2a-e9dd8f1fda8c · outbound

This paper cites Haptic-based and se(3)-aware object insertion using compliant hands,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Haptic-based and se(3)-aware object insertion using compliant hands,

Reference 28

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:06.013493Z

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.

source=pdf_text observed=2026-08-15T20:50:05.667875Z digest=sha256:7fec8247b5d0ad914c2ddd7da466ebc084ca82dadb459734bc63f7ba6bd5083d

Observation f5c1d420-be4e-4277-9eb5-950f168f3e43 · outbound

This paper cites Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.671599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.671599Z digest=sha256:7ae5ff9132de846aa635b1e5bb034b0cb4f4e035932fe66d7b61d6ccb07c15c4

Observation 105b1e76-9dab-4f6b-a422-e9dcab14eac9 · outbound

This paper cites Stability-guaranteed reinforcement learning for contact-rich manipulation,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Stability-guaranteed reinforcement learning for contact-rich manipulation,

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:05.942683Z

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.

source=pdf_text observed=2026-08-15T20:50:05.675172Z digest=sha256:0d4a181613fbf52814fabf4d5ddb0d03324394d86f0b90354482c52b5ba64359

Observation 46bfc6ae-bbe7-4653-bdc7-df72415efa2e · outbound

This paper cites Residual reinforcement learning for robot control,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Residual reinforcement learning for robot control,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.543633Z

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.

source=pdf_text observed=2026-08-15T20:50:05.678538Z digest=sha256:a68915225464322075123ea738b401ac7e88bddf11908be8a01618217ba49857

Observation 5928949b-a008-45db-8d56-53d83dee3d8f · outbound

This paper cites Residual learning from demonstration: Adapting dmps for contact-rich manipulation,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Residual learning from demonstration: Adapting dmps for contact-rich manipulation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.532351Z

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.

source=pdf_text observed=2026-08-15T20:50:05.689240Z digest=sha256:beb2938c4815cf6efa6cd280893f48ad81200dcc3a68737077426d1822d3d1da

Observation 4294ded1-3eef-43e3-ae85-45c465fa96ef · outbound

This paper cites Adapting object-centric probabilistic movement primitives with residual reinforcement learn- ing,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Adapting object-centric probabilistic movement primitives with residual reinforcement learn- ing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.519977Z

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.

source=pdf_text observed=2026-08-15T20:50:05.692558Z digest=sha256:5d3d69d804e7d608868e64f7f3e3128b6d25b40c82fa945f44f66540db0810b3

Observation cf90976e-4c1a-4c33-a377-2350e02cced9 · outbound

This paper cites Zero-Shot Transfer of Haptics-Based Object Insertion Policies.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Zero-Shot Transfer of Haptics-Based Object Insertion Policies

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:50:05.866965Z

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.

source=pdf_text observed=2026-08-15T20:50:05.695976Z digest=sha256:c84f81769d30ab3d01634712d92ae458c65095dfd473b4d54cea7f89187db464

Observation c7e2b1df-e568-4e54-bf27-5e52a38de1be · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Asymmetric Actor Critic for Image-Based Robot Learning

Reference 36

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unresolved
no resolver link, observed 2026-08-15T20:50:05.699542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.699542Z digest=sha256:3439ef5b448017aa913ab38ae78512e53937c83c4a6fa5b58d69add013a49874

Observation e614f682-948a-4d14-8e51-93c9756d1803 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Proximal Policy Optimization Algorithms

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.703257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.703257Z digest=sha256:f0638307640ba71bd734890d9928a589288555295b45edd60dec90e392a5cf7e

Observation 6fdbd965-77da-463b-bbe4-23f046561325 · outbound

This paper cites A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:50:05.833043Z

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.

source=pdf_text observed=2026-08-15T20:50:05.706804Z digest=sha256:9a0bf7141ae1984708e577e9f522584ca839b43392800c7e098de30f9738922e

Observation a792a523-9f4c-44de-8c22-81b4df0681c7 · outbound

This paper cites Benchmarking protocols for evaluating small parts robotic assembly systems,.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Benchmarking protocols for evaluating small parts robotic assembly systems,

Reference 39

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:50:05.818940Z

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.

source=pdf_text observed=2026-08-15T20:50:05.710428Z digest=sha256:2664e8865237e49f4412a09a6cc8ae1def9b9457a7189e63ef7647e5d4d48f2e

Observation 50c13084-5d44-4054-a54a-d082284f8a0b · outbound

This paper cites Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

Reference 2019

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metadata mismatch
local_arxiv, observed 2026-08-15T20:50:05.882140Z

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.

source=pdf_text observed=2026-08-15T20:50:05.685989Z digest=sha256:e28584f6ceb4d184d15bf09b907185f1c3d294bdf01ea72da27ad89c2d49a246

Observation d406ce3c-31fa-47d5-a9d6-e5fb015a43ac · outbound

This paper cites Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.558330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.558330Z digest=sha256:d1c2a7c87fe0434760d0429f220329abd20f2069739964625a1183e4d53dfc3b

Observation 4ac88c06-c666-4bb0-93eb-23123fb90f4c · outbound

This paper cites You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:05.579447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:05.579447Z digest=sha256:f9ca0359dea7d7acfe20cfb64a1baefb3afb91f281671d4250db222e7af7fbc8

Observation ab68eaa2-0045-438b-818e-09a08784364c · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 267311834.

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Available: https://api.semanticscholar.org/CorpusID: 267311834

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:06.633653Z

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.

source=pdf_text observed=2026-08-15T20:50:05.598842Z digest=sha256:7d5830b1ce04814f9dff5122a3046fa30bf037e496d17f5117c9947f9e2b1306

Pith citing papers

Observation bb8c637b-9475-42e1-aa62-fd2da84083f8 · inbound

Quantifying and Visualizing Sim-to-Real Gaps: Physics-Guided Regularization for Reproducibility cites this paper.

Quantifying and Visualizing Sim-to-Real Gaps: Physics-Guided Regularization for Reproducibility Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T10:49:23.693923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:49:23.693923Z digest=sha256:8344dafc27c7bbceeb396b306f20110640a10a21307809e91b7c5f459477d796

Observation 042b1c27-cc55-453d-88eb-08ed9e3ebf32 · inbound

Control Synthesis with Reinforcement Learning: A Modeling Perspective cites this paper.

Control Synthesis with Reinforcement Learning: A Modeling Perspective Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies

Reference 26

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unresolved
no resolver link, observed 2026-08-04T07:37:43.931375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:37:43.931375Z digest=sha256:d7677de3081ca7a8d7caf55b9daa0e158921e8ad246635d385d2f6d0b3cc389e

Observation 7f82acf5-a81c-4a3d-a33a-38f00baf4d15 · inbound

Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System cites this paper.

Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-26T11:39:24.474133Z

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.

source=pdf_text observed=2026-06-26T11:39:18.595140Z digest=sha256:39b0f212f356fd9cbf43f207b5c81b709ce547cfc8b02d130de9b80189385c3e