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Paper Citation Record · LEDGER

From Imitation to Refinement -- Residual RL for Precise Assembly

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2407.16677.

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

pith.paper-citation-record.v1
2407.16677 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:55.398291Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:37.586486Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 74c87f12-a7d2-44d5-a6ae-f284aaa2d218 · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:48:14.831533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T08:48:14.776754Z digest=sha256:0b13cb4bbb1497f78baadd9376afa9509b12d164101e3c58bcc52e38c81de827

Observation a53c7f83-7604-4454-aa4f-6d5e699f7834 · inbound

Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning cites this paper.

Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:55.398291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:55.398291Z digest=sha256:1517dbfc83714064078b1b84f855ec86fb0bc57246225785df9f9b0556370d31

Observation a5346c84-f659-403d-8f18-118cf8f53424 · inbound

A Survey on Imitation Learning for Contact-Rich Tasks in Robotics cites this paper.

A Survey on Imitation Learning for Contact-Rich Tasks in Robotics From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:35:16.407761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:35:16.407761Z digest=sha256:fe34c2d2958ca69e38f71bb009bee327333cea98258e7a189bb871cf0c3049b7

Observation 58bcfba8-70cd-4b19-a7a1-f70f6002cfb0 · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:55:46.242139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:55:46.183007Z digest=sha256:cd69bd4d91d86876e096a6f73ffb692ddb42cff3d5be49b0c79e37a9e9ee9296

Observation afc46cc1-7584-4148-9786-a6f91946ae07 · inbound

Residual Reward Models for Preference-based Reinforcement Learning cites this paper.

Residual Reward Models for Preference-based Reinforcement Learning From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:40.496583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:40.496583Z digest=sha256:9e34eb50ae39a26f5c64e5f5d0981aed06391f00da42feebe222fdac04037006

Observation 3ef7bc09-9420-4f3a-a3b5-8a1fc8901061 · inbound

EXPO: Stable Reinforcement Learning with Expressive Policies cites this paper.

EXPO: Stable Reinforcement Learning with Expressive Policies From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T05:12:05.303470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T05:09:02.111308Z digest=sha256:bf981f3de3a161d2e743cb639db4275e2357a770a16d1f01cf68100bf4c1e57a

Observation 65500bde-5bb0-4996-91d0-5f8bb4ceb4e2 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T17:57:08.149682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:57:08.149682Z digest=sha256:c6962ec79114deff9c017fa4d456a8c29f9d89261286ba04cb7f5cf06acc8995

Observation 817cffad-29e0-4ff7-9e32-74d0543c545c · inbound

Why Depth Matters in Parallelizable Sequence Models: A Lie Algebraic View cites this paper.

Why Depth Matters in Parallelizable Sequence Models: A Lie Algebraic View From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-15T14:39:54.624886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:39:54.624886Z digest=sha256:aedd18b2274b5727b2b3dd58b8efd207be0a23eb7118a6460f3014e5cb4971f7

Observation ac689571-c498-42dd-bae3-add267d6045e · inbound

HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks cites this paper.

HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:08.657012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:25:33.895716Z digest=sha256:686f204df420a3b369399f47562d09e9dc8391eef5e771450c6b9582bd257642

Observation a039bc38-a6ab-4dba-ba79-4dc3f3cdaed3 · inbound

HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks cites this paper.

HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:39:13.217974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T23:36:49.421938Z digest=sha256:ae34f0b79cae95109b430f734003f59c0de1180609f9b3ed089823253b1119fc

Observation eaa36f43-872e-48fa-824c-0593d9b79b0b · inbound

RoHIL: Robust Human-in-the-Loop Robotic Reinforcement Learning Against Illumination Variations cites this paper.

RoHIL: Robust Human-in-the-Loop Robotic Reinforcement Learning Against Illumination Variations From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:04.861184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:07:39.815615Z digest=sha256:e9bc29eefbe7d00d7aba828e27d2b630c05fd33833e05d8fce986b3fc74a95ad

Observation 4af6d770-4f4a-4fa5-8190-9c39a66f04a7 · inbound

Dynamic Execution Horizon Prediction for Chunk-based Robot Policies cites this paper.

Dynamic Execution Horizon Prediction for Chunk-based Robot Policies From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T06:17:41.620944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T12:48:32.848242Z digest=sha256:f0222ec3eff4aa73915de2dbe69ac44664799d1e551cd364f3f5f690efd8a691

Observation 2671d810-03fa-418a-b3cd-8c8bee1c6bcd · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:38:05.153245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:c897a2b00167875ef7ae949486998b7cd347afc990847f06850c6fd287de51de

Observation e25f0655-933b-4311-aaa3-8241f46829ed · inbound

Robot Self-Improvement via Human-Video Dynamics Models cites this paper.

Robot Self-Improvement via Human-Video Dynamics Models From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:19:37.588496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:40:13.855741Z digest=sha256:8ec072ee183d43cfb0f47726a3c23549904a13713dcadad8482773677049341a

Observation dd8844de-b06a-4d3b-89d4-a8fc45a1baf6 · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:23:04.763773Z digest=sha256:38ddd1a22f29e0c2a74c0399637fb56cda8cf904cd4574f6f107131802e2176b

Observation 72b515ed-2a1f-4c0a-8007-c15185185721 · inbound

VINE: Taming Generative Control Policies for Reinforcement Learning cites this paper.

VINE: Taming Generative Control Policies for Reinforcement Learning From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-14T12:17:04.321971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:17:04.321971Z digest=sha256:1ee09e878740675a9f0e52214c9dcb7d788d43abc029641d96b60d6bf3e6d6c7

Observation d4458579-cba1-45e5-b372-fb1ae3dfbff9 · inbound

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation cites this paper.

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T03:37:49.786376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:37:49.786376Z digest=sha256:52283779a0ae8796708589be4da18864a64dc03cdd765f11b9f1ad71af02e5cc