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Paper Citation Record · LEDGER

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.17651.

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

pith.paper-citation-record.v1
2607.17651 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:26:20.713975Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation 18e390f5-5879-4dde-8948-fa5609c8f58e · outbound

This paper cites Denoising diffusion probabilistic models,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Denoising diffusion probabilistic models,

Reference 1

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source=pdf_text observed=2026-08-01T17:26:17.654435Z digest=sha256:862e5476cf88c04820766282b2f9ace248f2474e79e8d74955cc09fca992ced0

Observation bd693cd4-55b4-419f-8449-0a774a78ed0f · outbound

This paper cites Flow matching for generative modeling,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Flow matching for generative modeling,

Reference 2

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source=pdf_text observed=2026-08-01T17:26:17.788450Z digest=sha256:2db64ec3d3ac56a3621778fb02a84b8810ab994617bb926caa37257616481315

Observation d155ed0c-a9c1-4416-8caa-0da7e7b37701 · outbound

This paper cites Flow straight and fast: Learning to gen- erate and transfer data with rectified flow,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Flow straight and fast: Learning to gen- erate and transfer data with rectified flow,

Reference 3

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source=pdf_text observed=2026-08-01T17:26:17.974577Z digest=sha256:1d368d5626ececbb1dd074b0fd54a1a5a6ae93924309056715cfbced51c643bc

Observation 23f35abf-3757-49b5-b7a6-a5b5768fb4a1 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 4

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Observation 8fd94b25-4a1b-43ea-84fc-8542be88521c · outbound

This paper cites SAC Flow: Sample-efficient reinforcement learning of flow-based policies via velocity-reparameterized sequential modeling,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation SAC Flow: Sample-efficient reinforcement learning of flow-based policies via velocity-reparameterized sequential modeling,

Reference 5

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source=pdf_text observed=2026-08-01T17:26:18.328631Z digest=sha256:802b12e5f9469790035e85656a9daef46e027da8c372470ec67a2180d6a66472

Observation edaf32e7-f61d-451e-a64f-7f9bbea39609 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 6

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Observation 0534d7f6-b051-48b9-b979-73fe0c90d71e · outbound

This paper cites Off-policy deep reinforcement learning without exploration,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Off-policy deep reinforcement learning without exploration,

Reference 7

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source=pdf_text observed=2026-08-01T17:26:18.618508Z digest=sha256:494e495e9d7e7270536c847a988a9bb2712b531e14bd05c6ce170fa72fe0d779

Observation be4470a7-e2a1-4242-9a06-30bb942dfa91 · outbound

This paper cites Diffusion-DICE: In-sample diffusion guidance for offline reinforcement learning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Diffusion-DICE: In-sample diffusion guidance for offline reinforcement learning,

Reference 8

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Observation bbee5a6e-6dc4-4a97-9210-c2102ba50d2d · outbound

This paper cites Diffusion policies as an expressive policy class for offline reinforcement learning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Diffusion policies as an expressive policy class for offline reinforcement learning,

Reference 9

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Observation dec671c8-05b9-453f-a820-f49054feab55 · outbound

This paper cites Trans- porter networks: Rearranging the visual world for robotic manipulation,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Trans- porter networks: Rearranging the visual world for robotic manipulation,

Reference 10

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source=pdf_text observed=2026-08-01T17:26:18.843610Z digest=sha256:40e0848301a67e281422e50f37a2f0fac630d5c9e02eab37022d97501eb8e676

Observation 4ffa558c-20ed-4ee7-8a98-e1a18878dad5 · outbound

This paper cites Universal manipulation interface: In-the-wild robot teach- ing without in-the-wild robots,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Universal manipulation interface: In-the-wild robot teach- ing without in-the-wild robots,

Reference 11

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Observation a55ffcfe-14ca-4645-aa40-a026a7e4ba24 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Policy gradient methods for reinforcement learning with function approximation,

Reference 12

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source=pdf_text observed=2026-08-01T17:26:19.097402Z digest=sha256:8682f570804a538e207c374b5a55763b10447c7b1a881915f8c44d60abeaac31

Observation 241e53ee-767a-4819-ab3b-ccc860c01068 · outbound

This paper cites Continuous control with deep reinforcement learning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Continuous control with deep reinforcement learning,

Reference 13

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Observation 93db723c-e0b9-40ff-b8f5-350d2b9cb397 · outbound

This paper cites Addressing function approx- imation error in actor-critic methods,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Addressing function approx- imation error in actor-critic methods,

Reference 14

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Observation 5ef2b42d-cc81-4ab7-91b4-8b0482812b8c · outbound

This paper cites Proximal Policy Optimization Algorithms.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Proximal Policy Optimization Algorithms

Reference 15

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source=pdf_text observed=2026-08-01T17:26:19.549403Z digest=sha256:914276e85f09f3276d37390b1db1be0f6c5caecea07502dc34f07c173e54c378

Observation 925225de-3f32-4466-8576-0567796e51b7 · outbound

This paper cites Implicit behavioral cloning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Implicit behavioral cloning,

Reference 16

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Observation e5b2afa9-957a-4894-9a97-30ad01b83a29 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Planning with diffusion for flexible behavior synthesis,

Reference 17

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source=pdf_text observed=2026-08-01T17:26:19.831021Z digest=sha256:5d3e7f02c832f89a04b9f39bea114adacf177a51e7b993cf0a444f55adb44585

Observation 8799facf-6d29-4ba8-84d8-5104aba18353 · outbound

This paper cites Is conditional generative modeling all you need for decision making?.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Is conditional generative modeling all you need for decision making?

Reference 18

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Observation ed86c842-6fd4-4222-802d-a25e653fbd3d · outbound

This paper cites Diffusion policy policy optimization,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Diffusion policy policy optimization,

Reference 19

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Observation acca9aa1-ff4b-433f-a039-ec35a8e5e1d2 · outbound

This paper cites Flow- based policy for online reinforcement learning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Flow- based policy for online reinforcement learning,

Reference 20

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source=pdf_text observed=2026-08-01T17:26:20.256277Z digest=sha256:ffbfa3c0c52f571d29e1ecd01ae9c31920c3d592002acce1b6272b4dccaf6e79

Observation 56e133b6-da2f-47cc-aed5-2af1c9ac8983 · outbound

This paper cites Learning a diffusion model policy from rewards via q-score matching,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Learning a diffusion model policy from rewards via q-score matching,

Reference 21

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source=pdf_text observed=2026-08-01T17:26:20.360624Z digest=sha256:cf4f0286747423d977079330ec5d0676110220e1dbe10513e0456c81df8ebc24

Observation 0788bb5a-d4fc-4c9e-a395-46c1c3f61746 · outbound

This paper cites DIME: Diffusion-based maximum entropy reinforcement learning,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation DIME: Diffusion-based maximum entropy reinforcement learning,

Reference 22

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Observation 975745bc-93ea-461a-bdef-3f2113c4e9f9 · outbound

This paper cites Hindsight experience replay,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Hindsight experience replay,

Reference 23

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Observation f8279dc7-03a9-4e88-ab54-1e2fa3aca00f · outbound

This paper cites RT-1: Robotics transformer for real-world control at scale,.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation RT-1: Robotics transformer for real-world control at scale,

Reference 24

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Observation 4e6a0d53-8116-45b6-8594-5577ab714b12 · outbound

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

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 25

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source=pdf_text observed=2026-08-01T17:26:20.713975Z digest=sha256:2bbae1c8d2ad22c9ea35e368e70a4b230ada1ffdb86949665faf5f569a7147a9

Observation 2f7e711d-ca14-483d-858e-60e8649ca92a · outbound

This paper cites Available: https://openreview.net/forum?id=zZvWj4JrYj.

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation Available: https://openreview.net/forum?id=zZvWj4JrYj

Reference 2026

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source=pdf_text observed=2026-08-01T17:26:18.478157Z digest=sha256:a8fc2d781e36b78e0f5256b2c4d1714180c68f486081396bb62a6a44480f6596

Pith citing papers

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