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Paper Citation Record · LEDGER

PFM-HR: Pose Flow Matching for Humanoid Robots

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.03227.

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

pith.paper-citation-record.v1
2608.03227 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:12:06.734872Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

41 of 41 outbound references displayed

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  • verified fuzzy16
  • unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 802f6c70-2f35-4373-8c83-7827b4298057 · outbound

This paper cites Visual imitation enables contextual humanoid control.

PFM-HR: Pose Flow Matching for Humanoid Robots Visual imitation enables contextual humanoid control

Reference 1

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Observation 396b800b-a5e7-45e8-af42-57bb502d36f7 · outbound

This paper cites Ai datasets for machine learning and motion capture.

PFM-HR: Pose Flow Matching for Humanoid Robots Ai datasets for machine learning and motion capture

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 80c3bc0a-b1d3-49e0-9705-cd7f959b0ed0 · outbound

This paper cites GMT: General Motion Tracking for Humanoid Whole-Body Control.

PFM-HR: Pose Flow Matching for Humanoid Robots GMT: General Motion Tracking for Humanoid Whole-Body Control

Reference 3

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source=pdf_text observed=2026-08-05T23:12:06.653810Z digest=sha256:8fe5ff0916c0ed8abdd736221a2abeb3cb4fb550d7acf59ac04cb3ed5d848fef

Observation e96115a3-2581-4dee-978b-6d45276d2542 · outbound

This paper cites Adversarial motion priors make good substitutes for complex reward functions.

PFM-HR: Pose Flow Matching for Humanoid Robots Adversarial motion priors make good substitutes for complex reward functions

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.656422Z digest=sha256:495e96dcc918727d7cf5048d527aee375a32d72c578d43633da1d4302d358d87

Observation fc607315-f98d-42aa-bc7c-46a113cdbfc1 · outbound

This paper cites Pdf-hr: Pose distance fields for humanoid robots.arXiv preprint arXiv:2602.04851, 2026.

PFM-HR: Pose Flow Matching for Humanoid Robots Pdf-hr: Pose distance fields for humanoid robots.arXiv preprint arXiv:2602.04851, 2026

Reference 5

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arxiv_id, observed 2026-08-05T23:12:08.678191Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.658777Z digest=sha256:77f4036ce7a72c153f51146d3d552f58611b1ae7fa3f24e7b4be74c571c6804a

Observation e0f4a091-dd41-4f61-b128-48881bc1fe7d · outbound

This paper cites Robust motion in-betweening.ACM Transactions on Graphics (TOG), 39(4):60–1, 2020.

PFM-HR: Pose Flow Matching for Humanoid Robots Robust motion in-betweening.ACM Transactions on Graphics (TOG), 39(4):60–1, 2020

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.661056Z digest=sha256:49ff453eaac985a0112c747da3b36e87ca0145f008cc4f8b9bbd345c595e3a37

Observation 9db47bbd-e610-43ac-8aa1-34a13c08d7cf · outbound

This paper cites Ul- tra: Unified multimodal control for autonomous hu- manoid whole-body loco-manipulation.arXiv preprint arXiv:2603.03279, 2026.

PFM-HR: Pose Flow Matching for Humanoid Robots Ul- tra: Unified multimodal control for autonomous hu- manoid whole-body loco-manipulation.arXiv preprint arXiv:2603.03279, 2026

Reference 7

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source=pdf_text observed=2026-08-05T23:12:06.663486Z digest=sha256:cd55fbadf1188cd6b70e7736bf81f8c9f495df8dcb9116e5b6cc7bbac5145e50

Observation 51f3eb35-7545-4fe4-94f6-4b5faee0da34 · outbound

This paper cites Nrdf: Neural riemannian distance fields for learning articulated pose priors.

PFM-HR: Pose Flow Matching for Humanoid Robots Nrdf: Neural riemannian distance fields for learning articulated pose priors

Reference 8

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raw_fallback, observed 2026-08-05T23:12:08.813522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.665430Z digest=sha256:ead6893b0aea48fe0e1af847416c9425136bdd21136a2e15b3f0804d7014629b

Observation b2590036-e962-4d3a-b5f8-aca332d3ed76 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

PFM-HR: Pose Flow Matching for Humanoid Robots Back to Basics: Let Denoising Generative Models Denoise

Reference 9

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source=pdf_text observed=2026-08-05T23:12:06.667447Z digest=sha256:35aa2a6dec1dee38191eb03063c536be5652e6df43289ea8bf0eac97040ebf17

Observation 894df0de-b6df-4c24-92e9-639e86f7d26f · outbound

This paper cites BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion.

PFM-HR: Pose Flow Matching for Humanoid Robots BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion

Reference 10

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source=pdf_text observed=2026-08-05T23:12:06.669999Z digest=sha256:93c986211147248b2b9767c54a6f77d5f6beb4f312665ddce642833eba3062ee

Observation 365d3f70-bcef-4772-9ced-22c68bc5f467 · outbound

This paper cites an unresolved cited work.

PFM-HR: Pose Flow Matching for Humanoid Robots Unresolved cited work

Reference 11

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Observation e175889f-1de2-452e-8aaa-5660d9321388 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

PFM-HR: Pose Flow Matching for Humanoid Robots Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 12

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Observation e504389c-5e57-4ff9-9ced-9c8cbb3b17a9 · outbound

This paper cites DPoser: Diffusion Model as Robust 3D Human Pose Prior.

PFM-HR: Pose Flow Matching for Humanoid Robots DPoser: Diffusion Model as Robust 3D Human Pose Prior

Reference 13

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source=pdf_text observed=2026-08-05T23:12:06.676647Z digest=sha256:dc4f578a9cea0a80aa1ae07e41099838a2c9dc49ff14edaba9de1f153226f85c

Observation 93996863-21e6-4edb-995d-00e997e3d4e0 · outbound

This paper cites DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior.

PFM-HR: Pose Flow Matching for Humanoid Robots DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior

Reference 14

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Observation 7ffb9742-8cb6-41f2-ac32-6bd61d63aeda · outbound

This paper cites Perpetual humanoid control for real-time simulated avatars.

PFM-HR: Pose Flow Matching for Humanoid Robots Perpetual humanoid control for real-time simulated avatars

Reference 15

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source=pdf_text observed=2026-08-05T23:12:06.681122Z digest=sha256:5e9ab4e4842de639b95e0ba99c992a7b667b25bb87f6b706ec23afa36c001521

Observation 68bce558-f93d-43f6-b066-1d678fe4f392 · outbound

This paper cites Univer- sal humanoid motion representations for physics-based control.

PFM-HR: Pose Flow Matching for Humanoid Robots Univer- sal humanoid motion representations for physics-based control

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.683077Z digest=sha256:d7f906312503242f849fac249e9afcb498bb2a51e544e4d94d54ebfe74165439

Observation d46ed560-7ae4-4e1d-b91d-bba739a5dcb6 · outbound

This paper cites SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control.

PFM-HR: Pose Flow Matching for Humanoid Robots SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control

Reference 17

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source=pdf_text observed=2026-08-05T23:12:06.685333Z digest=sha256:fcee4f5674043b8889eab44b60b7c6e2018afab5986abbe1e2b58d82529b7fd0

Observation 2144f1ca-2e05-47c0-93e7-e08aab380a84 · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

PFM-HR: Pose Flow Matching for Humanoid Robots Amass: Archive of motion capture as surface shapes

Reference 18

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Observation 40e45a8e-4495-4874-af70-064b5727c15b · outbound

This paper cites On the Posterior Distribution in Denoising: Application to Uncertainty Quantification.

PFM-HR: Pose Flow Matching for Humanoid Robots On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

Reference 19

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source=pdf_text observed=2026-08-05T23:12:06.689405Z digest=sha256:54e4cdd9a187cdca347c6c15d5151480c1accc8483d22de378cb44fc146a0f95

Observation 220da200-e24f-4d69-a8fd-bb59c9b0d05b · outbound

This paper cites Smp: Reusable score-matching motion priors for physics-based character control.ACM Transactions on Graphics (Proceedings of SIGGRAPH 2026), 2026.

PFM-HR: Pose Flow Matching for Humanoid Robots Smp: Reusable score-matching motion priors for physics-based character control.ACM Transactions on Graphics (Proceedings of SIGGRAPH 2026), 2026

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1c41def6-22e4-4e0d-b2b0-51a8b0cf725a · outbound

This paper cites Posed- flow: Versatile and guided flow matching model of hu- man pose.

PFM-HR: Pose Flow Matching for Humanoid Robots Posed- flow: Versatile and guided flow matching model of hu- man pose

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.693485Z digest=sha256:86247e557765ba805fc9452ec7cebc0e0d83591f6df15a69ecbbab89cdc05bf0

Observation 37ac8685-1096-4435-90c3-4094bc49a028 · outbound

This paper cites Scalable diffu- sion models with transformers.

PFM-HR: Pose Flow Matching for Humanoid Robots Scalable diffu- sion models with transformers

Reference 22

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Observation 0d0b78dc-e5a2-4688-a986-25d784998b9d · outbound

This paper cites Mimickit: A reinforcement learning framework for motion imitation and control.arXiv preprint arXiv:2510.13794, 2025.

PFM-HR: Pose Flow Matching for Humanoid Robots Mimickit: A reinforcement learning framework for motion imitation and control.arXiv preprint arXiv:2510.13794, 2025

Reference 23

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Observation 85cd73cb-afc4-455b-b764-cfde3b56254a · outbound

This paper cites Deepmimic: Example-guided deep re- inforcement learning of physics-based character skills.

PFM-HR: Pose Flow Matching for Humanoid Robots Deepmimic: Example-guided deep re- inforcement learning of physics-based character skills

Reference 24

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source=pdf_text observed=2026-08-05T23:12:06.699515Z digest=sha256:9b3fe327d0b80c0cf52511d34c95bea878273e736474b2df4e3666c39f4b108b

Observation 1c60a3c0-3a34-46b2-8136-2d1ec76ecd8a · outbound

This paper cites Amp: Adversarial motion priors for stylized physics-based character control.ACM Transac- tions on Graphics (ToG), 40(4):1–20, 2021.

PFM-HR: Pose Flow Matching for Humanoid Robots Amp: Adversarial motion priors for stylized physics-based character control.ACM Transac- tions on Graphics (ToG), 40(4):1–20, 2021

Reference 25

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Observation 0ed58a99-e083-48e2-b70c-9457664958e3 · outbound

This paper cites Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters.ACM Transactions On Graphics (TOG), 41 (4):1–17, 2022.

PFM-HR: Pose Flow Matching for Humanoid Robots Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters.ACM Transactions On Graphics (TOG), 41 (4):1–17, 2022

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.703761Z digest=sha256:6046ea5edfe71f94fc155b1fbf892f0fd22bdf29a7d913e981c0ad677f5ce3a9

Observation 016e870f-e797-4e44-aa00-bf9ad39520cb · outbound

This paper cites Heracles: Bridging precise tracking and generative synthesis for general humanoid control.arXiv preprint arXiv:2603.27756, 2026.

PFM-HR: Pose Flow Matching for Humanoid Robots Heracles: Bridging precise tracking and generative synthesis for general humanoid control.arXiv preprint arXiv:2603.27756, 2026

Reference 27

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source=pdf_text observed=2026-08-05T23:12:06.705640Z digest=sha256:c598919d77ed8fdc2f554b07cd1afacfccd648f220a30c09cc9d7808848de29a

Observation b998173e-d125-4171-ba4b-bbfd390b4acf · outbound

This paper cites Calm: Conditional adversarial latent models for directable virtual characters.

PFM-HR: Pose Flow Matching for Humanoid Robots Calm: Conditional adversarial latent models for directable virtual characters

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.708033Z digest=sha256:1a281072583a2c89acbd28fd2882de2856a0562901a39d7fbbc8b3d0281fd3e6

Observation 96e519ef-455d-400f-8356-a955322b0402 · outbound

This paper cites Maskedmimic: Unified physics-based character control through masked motion inpainting.

PFM-HR: Pose Flow Matching for Humanoid Robots Maskedmimic: Unified physics-based character control through masked motion inpainting

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 371a2aa4-27c3-49da-8396-e8584e7ceaf5 · outbound

This paper cites Pose- ndf: Modeling human pose manifolds with neural dis- tance fields.

PFM-HR: Pose Flow Matching for Humanoid Robots Pose- ndf: Modeling human pose manifolds with neural dis- tance fields

Reference 30

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raw_fallback, observed 2026-08-05T23:12:08.738053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.711811Z digest=sha256:761b776d5879efc1f55b3833849ad3a83ded06d720899a9cedda82652f38f342

Observation 5c773ce5-30f2-44b0-9dc0-a2cce2e70829 · outbound

This paper cites Physics-based character controllers using conditional vaes.ACM Trans.

PFM-HR: Pose Flow Matching for Humanoid Robots Physics-based character controllers using conditional vaes.ACM Trans

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.713889Z digest=sha256:c40bbd9d53ee4d975dacaec843dfb11b583d89e81178f25a0b9a2140fd2615fc

Observation d7dd1363-8c6b-4d1a-9423-ef4a59896e1d · outbound

This paper cites Text-to-image rectified flow as plug-and-play priors.

PFM-HR: Pose Flow Matching for Humanoid Robots Text-to-image rectified flow as plug-and-play priors

Reference 32

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raw_fallback, observed 2026-08-05T23:12:08.730521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.715870Z digest=sha256:0f382b33bb376fc800d034c6373f53eb87f0f2193fb0158584480205ebeb103b

Observation c54671ce-f25e-45fe-9faa-8a77a27f37ab · outbound

This paper cites ControlV AE: Model-Based Learning of Generative Controllers for Physics-Based Characters.ACM Trans- actions on Graphics, 41(6):183:1–183:16, 2022.

PFM-HR: Pose Flow Matching for Humanoid Robots ControlV AE: Model-Based Learning of Generative Controllers for Physics-Based Characters.ACM Trans- actions on Graphics, 41(6):183:1–183:16, 2022

Reference 33

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raw_fallback, observed 2026-08-05T23:12:08.723668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.718285Z digest=sha256:6827e38cca3b9d820940d940786323f9303535819925d916feaf44208545a94b

Observation f2a770f8-fe83-427b-b360-65494f2390ab · outbound

This paper cites Moconvq: Unified physics-based motion control via scalable discrete rep- resentations.ACM Transactions on Graphics (TOG), 43 (4):1–21, 2024.

PFM-HR: Pose Flow Matching for Humanoid Robots Moconvq: Unified physics-based motion control via scalable discrete rep- resentations.ACM Transactions on Graphics (TOG), 43 (4):1–21, 2024

Reference 34

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raw_fallback, observed 2026-08-05T23:12:08.716744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.720106Z digest=sha256:29c4ca2b09b295401c3ee66f3edd7fee0105950877d0a308452b30f7918c1563

Observation 98246fd5-0e73-4023-a528-9936a57cecd0 · outbound

This paper cites Karen Liu, and Jiajun Wu.

PFM-HR: Pose Flow Matching for Humanoid Robots Karen Liu, and Jiajun Wu

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T23:12:06.722138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:12:06.722138Z digest=sha256:3b005b43aaa717074fd294cc1b3ec9f333343c72c7bff1d0aacd763372b9a1bc

Observation 1e425c88-15bb-4510-bb2d-d464e7c745f0 · outbound

This paper cites Geometric Neural Distance Fields for Learning Human Motion Priors.

PFM-HR: Pose Flow Matching for Humanoid Robots Geometric Neural Distance Fields for Learning Human Motion Priors

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:12:07.529947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.724731Z digest=sha256:d74c48043f7dd52801daba6887c9c4bb0a66a1ac91dc1d2e54d1304ca6a5da42

Observation cc11b88a-f89a-4eeb-beff-6e7cd10b0611 · outbound

This paper cites Rohm: Robust human motion reconstruction via diffusion.

PFM-HR: Pose Flow Matching for Humanoid Robots Rohm: Robust human motion reconstruction via diffusion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:12:08.709473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.726827Z digest=sha256:5a86e32ef3cb56007a91df5fb11db1168e3e99265c2a5b2d120454bfd86b3ff0

Observation 387d8eee-422d-4d7e-8b0a-011001a0c51f · outbound

This paper cites Physics-based motion imitation with adversarial differential discriminators.

PFM-HR: Pose Flow Matching for Humanoid Robots Physics-based motion imitation with adversarial differential discriminators

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:12:08.702575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.728885Z digest=sha256:c84f3c543d188659d8d7cf1d2ec43c42156a3234ba51c7a00d5f1e3754dccd41

Observation 0f231109-47e2-4f35-bec8-1a136203594d · outbound

This paper cites Karen Liu, Pieter Abbeel, Guanya Shi, and Rocky Duan.

PFM-HR: Pose Flow Matching for Humanoid Robots Karen Liu, Pieter Abbeel, Guanya Shi, and Rocky Duan

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T23:12:06.730780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:12:06.730780Z digest=sha256:f180aa46f9d6d6a55e1dc1737c9f44f63e199ee8977706df66c982b82ae8a47b

Observation 9bed7a9a-1027-400b-86de-d2673335004e · outbound

This paper cites Score distillation of flow matching models.arXiv preprint arXiv:2509.25127, 2025.

PFM-HR: Pose Flow Matching for Humanoid Robots Score distillation of flow matching models.arXiv preprint arXiv:2509.25127, 2025

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T23:12:06.732942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:12:06.732942Z digest=sha256:b8aa65641633e577bd64e5116cafda76b45408ae7bff2d37421d52baa83fedd8

Observation 274993cc-968c-4eef-994b-469f11f7cbc4 · outbound

This paper cites Neural categorical priors for physics-based character control.ACM Transactions on Graphics (TOG), 42(6): 1–16, 2023.

PFM-HR: Pose Flow Matching for Humanoid Robots Neural categorical priors for physics-based character control.ACM Transactions on Graphics (TOG), 42(6): 1–16, 2023

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T23:12:08.694256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:12:06.734872Z digest=sha256:d3a3546f9952234d4287ea2983855a33ee3d7c75bb69b5e316f5628f136c858f

Pith citing papers

No inbound Pith citation observations are available.