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Paper Citation Record · LEDGER

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2504.14588.

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

pith.paper-citation-record.v1
2504.14588 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:39.247570Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:39.214565Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:48:39.384615Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c09fa32d-0b11-4db6-b748-07f508df3260 · outbound

This paper cites Recent advances in hierarchical reinforcement learning.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Recent advances in hierarchical reinforcement learning

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ea5671de-648c-4005-9f8f-70ff9881297d · outbound

This paper cites RT-H: Action Hierarchies Using Language.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction RT-H: Action Hierarchies Using Language

Reference 2

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source=pdf_text observed=2026-08-16T11:48:38.397960Z digest=sha256:f3e52740bedf5a9b7e8b9e1fb05d62815e087e1c7ba5f5fd8a634ea529009221

Observation 7952c782-f566-4ec3-9c2f-833b800edd38 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

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source=pdf_text observed=2026-08-16T11:48:38.403183Z digest=sha256:e926bf6223c2bc89f2cf17d907c50a2d02eda1e8e971f6856bd3b79a27c5db8a

Observation 310c8063-b614-4b43-8280-d25f117b3a3d · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:48:38.408283Z digest=sha256:7aeb49cf799021a80186e21d231920dda6bc5e4b1a5e53b80703f8b26e9c6243

Observation c9d799d4-ce78-44c4-ae07-2efcec31753c · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 5

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source=pdf_text observed=2026-08-16T11:48:38.413254Z digest=sha256:0ea3b8fbd45c014429fff0a4b4d0b9beb5d0b8bb621ccc797ed2a4a3727d2930

Observation 465017bb-a908-44aa-af48-37a8fa8d99a8 · outbound

This paper cites Racer: Rich language-guided failure recovery policies for imitation learning, 2024.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Racer: Rich language-guided failure recovery policies for imitation learning, 2024

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.418222Z digest=sha256:43c1adb8ce2fc8b5efd11cdbdce075bb732497693ea40446050294a39a20b01b

Observation 3513c6aa-12b8-4395-b5ee-20c25f2c706b · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction PaLM-E: An Embodied Multimodal Language Model

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.422975Z digest=sha256:98c190be9ec59533bb8069c2210ed1c905919a590ecadf755c83c56911917c90

Observation 65029a5b-ae22-43f0-bbb7-0ac917a382d0 · outbound

This paper cites Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry

Reference 8

Resolution
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raw_fallback, observed 2026-08-16T11:48:40.148648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.444097Z digest=sha256:93d0f0ead1d2b7c555e6df4320300df9d7eaa5391ce349e76de420028bed079a

Observation 01297705-1699-46e8-a75c-ccce10774f36 · outbound

This paper cites Maniskill2: A unified benchmark for generalizable manipulation skills.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Maniskill2: A unified benchmark for generalizable manipulation skills

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-16T11:48:40.135006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.492111Z digest=sha256:99d905904f1d41e7aa510e722ca63647718f9947444d9fb56c12275591841707

Observation a4cc8020-777f-4a7f-a9ac-25b41977018c · outbound

This paper cites Distributed Prioritized Experience Replay.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Distributed Prioritized Experience Replay

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.524812Z digest=sha256:d5337dcbc0a419d341e122ab751cc637076d6079360127400c51693611a7a3dc

Observation 0425598d-e4c2-43d1-beca-3bd2552bc6ca · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction OpenVLA: An Open-Source Vision-Language-Action Model

Reference 11

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source=pdf_text observed=2026-08-16T11:48:38.586497Z digest=sha256:0414804d3ddbc7e5fc083bac69fd5ee8fa9c95645faca759c20d79231b1e1215

Observation 0f5c1bd2-6f4b-45ab-ad8a-cf9ffa322902 · outbound

This paper cites Neural basis of reinforcement learning and decision making.Annual review of neuroscience, 35(1):287–308, 2012.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Neural basis of reinforcement learning and decision making.Annual review of neuroscience, 35(1):287–308, 2012

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:40.119562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.695796Z digest=sha256:b3bdf1c7d0ec93b9595670df124eb1040744d993ee82ba1e3b39e33a866a943f

Observation faaea1d7-6c1e-4315-a1db-05ff7e7c0241 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction LLaVA-OneVision: Easy Visual Task Transfer

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.803523Z digest=sha256:bf3d2e7f3b2e4b2f3e79f285053f189dd5219c52271ab909b08f578963b76f6e

Observation 4ca1ea14-2bb7-4202-b0a6-02771c7ac089 · outbound

This paper cites Code as policies: Language model programs for embodied control.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Code as policies: Language model programs for embodied control

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:40.104468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.809085Z digest=sha256:2c8e156ccbb5efce6e92fa5740404025a8eae7e80ad169f1104dc31c6d41b03b

Observation e2b3670f-d7e7-49c1-9552-1c52510c546e · outbound

This paper cites Visual instruction tuning, 2023.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Visual instruction tuning, 2023

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.814520Z digest=sha256:c86bf4527ca44c5011adf745da2a8514ac5743f3249933e4cc77fd0a59936e7c

Observation 55d1b6d0-a9dd-49c6-9ab1-6906c786b6ef · outbound

This paper cites A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.818646Z digest=sha256:c80e913ce35c4e682914846eb6fc8f1a5942645de0a2e25343bbaa72a9717d6a

Observation b5abc8b9-98a1-40e7-aec8-8503802f04d9 · outbound

This paper cites COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:38.822891Z digest=sha256:6c3e00314e9c737edb4d95594358deb957f3d5d0852d588452668557f63775f4

Observation 94889b45-ef9c-479a-96fc-24c34b476203 · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 18

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source=pdf_text observed=2026-08-16T11:48:38.827483Z digest=sha256:dbd0e5659872bf4e7647d373791b8e61fb6380f0311f57fbaf04d7c2b9479ba1

Observation 8e866380-4975-4d05-afd8-1d78168f4d5f · outbound

This paper cites KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance

Reference 19

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source=pdf_text observed=2026-08-16T11:48:38.904074Z digest=sha256:b7293e6e567526207868e22a8aa92b8e7be38e514687a85932948412a4291731

Observation ac197445-e85b-43c5-a515-42d4ad9a1b4f · outbound

This paper cites What mat- ters in learning from offline human demonstrations for robot manipulation.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction What mat- ters in learning from offline human demonstrations for robot manipulation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.945991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.935684Z digest=sha256:7431714d57f15c9738f596ab102c29d133820e4f291e4be9250c42020ff54014

Observation a3f171c6-5175-4814-90be-b35453d8647b · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 21

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source=pdf_text observed=2026-08-16T11:48:38.940111Z digest=sha256:13985945fbd84ca91ddbc60b994b6d83d59bf037e8267d454447ab8844eaa56d

Observation 14f8e5ba-dab3-4bc4-8819-3628597c5b14 · outbound

This paper cites Depth helps: Improving pre-trained rgb-based policy with depth information injec- tion.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Depth helps: Improving pre-trained rgb-based policy with depth information injec- tion

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.871089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.944487Z digest=sha256:29bf4d5f95c7d8a9f48c4b8076ea4c8a2f82db8eb11828ad75b70c09c76cbeec

Observation dc6fc9ab-f8e4-4ec4-b812-1e8b981ef934 · outbound

This paper cites Hierarchical reinforcement learning: A com- prehensive survey.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Hierarchical reinforcement learning: A com- prehensive survey

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.948791Z digest=sha256:63e82c0f1830363c64b6f54caa40b17d67e64abccc48a72c057451c74daf4e9e

Observation 243204aa-0f2d-49fc-8b5e-2ed1d64df11d · outbound

This paper cites Planning with large language models via corrective re-prompting.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Planning with large language models via corrective re-prompting

Reference 24

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source=pdf_text observed=2026-08-16T11:48:38.953246Z digest=sha256:54b5d495e2c6d2d353cd84609a79350bb39eae848183f03768be01473ad26381

Observation 321afe31-c86d-4442-9ca8-e1b125b57cbc · outbound

This paper cites What we learn when we learn by doing.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction What we learn when we learn by doing

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.831812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:38.958401Z digest=sha256:b6db1e7e9ed73f50cbff5db9fdd89cc3168ae6c830a8988edff14aa004bec272

Observation 13824a8c-f533-4a24-89b1-817600590475 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Proximal Policy Optimization Algorithms

Reference 26

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source=pdf_text observed=2026-08-16T11:48:38.963115Z digest=sha256:cf02dc9a0e4dbfaa216a79e957d076eda17c2ce8c04481fc244b46ef502180f4

Observation 36fcb3d9-f6c2-4a42-9840-0eaceec98b04 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Octo: An Open-Source Generalist Robot Policy

Reference 27

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source=pdf_text observed=2026-08-16T11:48:38.967927Z digest=sha256:1285dc7c01c0867d50a8a68ed12466a3381b6e37406306174c7d6281390f8fe9

Observation cb841cc7-0398-45fa-b698-64abd83e2265 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction LLaMA: Open and Efficient Foundation Language Models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.007706Z digest=sha256:87a2d0944eebeeb7b210e0aca86a72e04277df4f79cbd88d443a5b9891dcd0ed

Observation 2a77926d-767f-48ca-8988-c7da547d204a · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.080011Z digest=sha256:25ccbb60a701a6af29fab9ee4e57a9a2c37fa18efa3d5c2250e0787ed331b140

Observation c062e32c-fad6-4c2a-96a1-685f8e39df7d · outbound

This paper cites Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.084327Z digest=sha256:504b970ee70f9d74f0677829e2afdf77c24e5fb2ccd5286494db2f4ecc51ec77

Observation de5f1f37-47cd-4cfc-a09e-8f79ce9a6a37 · outbound

This paper cites Kinematic-aware prompt- ing for generalizable articulated object manipulation with llms.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Kinematic-aware prompt- ing for generalizable articulated object manipulation with llms

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.816068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.089224Z digest=sha256:7e628b6344f8e627ce23db21d022f77d61876e67339c219e76fee9b6b19cd795

Observation 75c4d8d7-ac5d-4626-9931-35c7b0a33e06 · outbound

This paper cites AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.094039Z digest=sha256:33bcb3f1f15558b29f9ffc223a6ee064fd58e323c28a7d36271e8f36eca8b35d

Observation 6a80ec2b-2fa3-4550-b3f2-40fb6d267529 · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.098288Z digest=sha256:de7d508ffb07b58ed8a3fb52aaa3037bd7238eda21678e4abf3099f8d0238e31

Observation 88c0fdbe-9596-44f3-af3d-4af67346ef54 · outbound

This paper cites Asc: Adaptive skill coordination for robotic mobile manipulation.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Asc: Adaptive skill coordination for robotic mobile manipulation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.801517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.144387Z digest=sha256:10f3dc28a43b897429809ff5967b0c484055ba358daf499394e149dbe485c7d9

Observation 35c09939-5e7c-4ea6-9fa9-3f0fa4c64dd9 · outbound

This paper cites Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.786750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.195059Z digest=sha256:8dae90aa1457428dabce9a15ee11cb4419ba0536be0fb0143280ba47df6e93b7

Observation 3f2d649f-c9fb-47cc-8d39-2747f160b5de · outbound

This paper cites Learning Manipulation by Predicting Interaction.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Learning Manipulation by Predicting Interaction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:48:39.200241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.200241Z digest=sha256:282c143dd8ce10d498c946eb2f42f72b2624eeb162de94f5f7cfb7b70a4de7cc

Observation f378d6d4-8e33-42a9-ad79-03a663f3164f · outbound

This paper cites SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:48:39.204936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.204936Z digest=sha256:0e51edceb9284a425603fd1921e020ea66eb7b3075ceb2590c38d43528f4128d

Observation 3c00c61b-98c9-486e-bc40-c136c784ed7f · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:48:39.209709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:39.209709Z digest=sha256:0cdda22a14eb794bafa4d1e1aa30b8440ef492599fa459a43f1b2afc02149a25

Observation 21ca1001-ae3f-4f0a-ba07-4dd524856a64 · outbound

This paper cites Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T11:48:39.408500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.214565Z digest=sha256:f4cf0da4ca475a89795f163769d8086982ae5cd9f9ef016431a50ab91d5851ad

Observation e5a2fe44-99a6-49e8-84e0-1a2c1f754197 · outbound

This paper cites As demonstrated in Table 1, the pol- icy guided by the motion codebook can better adhere to motion instructions, thus achieving better performance in manipulation tasks (44.4% v.s.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction As demonstrated in Table 1, the pol- icy guided by the motion codebook can better adhere to motion instructions, thus achieving better performance in manipulation tasks (44.4% v.s

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.771243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.219732Z digest=sha256:3e5c6b7c1161f9b8ad6906d779b9a0ff9fd3fff05e8d22289a4e4f033f5af56e

Observation 8cbeafd0-ea93-420e-bf3e-0e0dcc05d43d · outbound

This paper cites move arm upward.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction move arm upward

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:48:39.756099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.247570Z digest=sha256:e21e1fc46b4e313adc9f658f506a4bb4c506a035b3ed7aa1c771d039ad28012c

Pith citing papers

Observation 21ca1001-ae3f-4f0a-ba07-4dd524856a64 · inbound

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction cites this paper.

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T11:48:39.408500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:48:39.214565Z digest=sha256:f4cf0da4ca475a89795f163769d8086982ae5cd9f9ef016431a50ab91d5851ad