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Paper Citation Record · LEDGER

Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2502.20391.

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

pith.paper-citation-record.v1
2502.20391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:26:46.213716Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:47:31.653765Z

Reference resolution

0 of 0 outbound references displayed

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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 16e77b58-5290-434a-a3c5-8aab260e089b · inbound

EgoZero: Robot Learning from Smart Glasses cites this paper.

EgoZero: Robot Learning from Smart Glasses Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:00:57.784424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:00:57.784424Z digest=sha256:b117f3c285f1b1068004f81b639bdde335177cb179e3645235401912e5f51869

Observation 314e1830-e306-4c1e-a1e3-b35f0a614288 · inbound

Feel the Force: Contact-Driven Learning from Humans cites this paper.

Feel the Force: Contact-Driven Learning from Humans Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 27

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no resolver link, observed 2026-08-07T11:37:14.357270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:14.357270Z digest=sha256:119b264706efdc41ea0705f660b346e97f04f60849019ef72cb03b560c8cd0b7

Observation 54218101-b9f7-46e6-979d-39ff1550d2bd · inbound

Touch begins where vision ends: Generalizable policies for contact-rich manipulation cites this paper.

Touch begins where vision ends: Generalizable policies for contact-rich manipulation Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:46.302591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.302591Z digest=sha256:98ac0b45176e005e96195832e38fecb7e04c6ba8d333fb6b368ec9d7f1e90f82

Observation 6ca1f7c4-26b5-4249-aa17-df86b5991f09 · inbound

EgoLoc: A Generalizable Solution for Temporal Interaction Localization in Egocentric Videos cites this paper.

EgoLoc: A Generalizable Solution for Temporal Interaction Localization in Egocentric Videos Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T17:26:46.213716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:26:46.213716Z digest=sha256:584decad5a77282391a402f5e7461f7ccf86846ebdab5366cb99fc6449481a09

Observation f8858cb0-2ff0-46bc-9d89-d1bf4a1b6047 · inbound

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations cites this paper.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-15T17:08:57.807927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.807927Z digest=sha256:b72bdeae27d7e1348e9efa7d39996ae01fbdb47dd2b546f18e68c4c8d9d28503

Observation b19054bf-5a69-4076-b074-4f7c8681acfd · inbound

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations cites this paper.

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:40:33.807969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T00:37:12.170711Z digest=sha256:bc828c1e8eff704c3c7eb84c5ab0eec98edea56a318ea168384803d670296ad3

Observation d392af58-b5fd-468f-9071-83089f6c9f0e · inbound

Robot-DIFT: Correspondence-Sensitive Diffusion Features for Contact-Rich Robot Manipulation cites this paper.

Robot-DIFT: Correspondence-Sensitive Diffusion Features for Contact-Rich Robot Manipulation Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T00:02:12.536804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:02:12.536804Z digest=sha256:31c01ee5d05d87f1fb85bb64cfa3b893ff56c9522ce40252b885cdcda7cddfa3

Observation 6f64b360-fb48-464f-a883-4b105c79a1e1 · inbound

FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry cites this paper.

FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-15T13:07:10.012493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:07:10.012493Z digest=sha256:81f55d74169219dce7d6ac66560303da7fc97921464dcb713452a7f821241c39

Observation c5681eae-0527-40fa-80b3-5840d5a65647 · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.220412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:b81baa02c83cd64c51ee2e2fe65a3c1951411a523f03b6de3dea5d20bd786a25

Observation 59123b19-8c64-41e1-9411-b8ce44ec9ec1 · inbound

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization cites this paper.

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 32

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verified exact
arxiv_id, observed 2026-05-13T03:57:12.863543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T03:57:10.338617Z digest=sha256:241dd3f569f7a4ce9d40111d8cddaffdb3981e64441aaffda2f96496f56083ba

Observation ffddb4f1-8409-4a8a-8282-ef865607fb61 · inbound

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization cites this paper.

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:15:46.695797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T22:11:21.596611Z digest=sha256:ffb740ea0009bb6dbc62b68e847080d3f8e512dc846eea0c4819f20f86eea91c

Observation ce0a4a17-945d-400e-9993-1b93db124d40 · inbound

LACE: Latent Visual Representation for Cross-Embodiment Learning cites this paper.

LACE: Latent Visual Representation for Cross-Embodiment Learning Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:42:48.408136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T21:38:33.937153Z digest=sha256:dc579cf242e5afde5ebafd5f7155ecfa0206ee7ca1d485400a65ee16e5cbbdd0

Observation b6c1d88b-0815-48bf-9b86-dc5ec3e5d089 · inbound

On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning cites this paper.

On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 19

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verified exact
arxiv_id, observed 2026-06-29T17:23:45.204421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T17:15:51.699988Z digest=sha256:63c82aaf83b069ac27e65ec07d2a120dac64e5221980d9cfa6153684e719f4ad

Observation 6b27155b-a1ce-439f-bf34-2630f835db72 · inbound

KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation cites this paper.

KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:30.856867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T16:33:30.595853Z digest=sha256:5805f54f4549432f036806184004d84a391bf8f27ef7ef808bced40b420b0c37

Observation da9a5a61-1861-4e38-98e6-61b03f5a04b6 · inbound

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation cites this paper.

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:33.554282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T16:10:40.130366Z digest=sha256:1a01c18e96d954967f49a982802317bffeffdf697e33458f8b3fba2b8a3e0503

Observation fca41381-5354-4329-b26a-e2419bcb196d · inbound

Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Open-World Contact Localization cites this paper.

Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Open-World Contact Localization Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.078376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:15:57.832559Z digest=sha256:3d8fb6645c090e0574ba51e57014d90bdd36d42f4af093739b77e91df8117845

Observation 3aff670a-47e5-4eda-bc97-98e34e125bb1 · inbound

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition cites this paper.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.206465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:e37724973716e40705e41e18dc7fa9820f7a94d4a93342f3322e970d382f27bb

Observation 88fe2297-96d9-4f80-abd5-7ad075120542 · inbound

MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models cites this paper.

MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:32.858643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T06:55:53.760595Z digest=sha256:931afc6b92039284c0b9b46856285fce3659bbb8e27dcdb7ae53f136a7f9fc36

Observation a245477d-eee6-4648-925b-97d0622bdf9d · inbound

Human Universal Grasping cites this paper.

Human Universal Grasping Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:44.374848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T03:54:04.149409Z digest=sha256:9f5263f50667b0818234af3f0b3e2279d6a4935ba64165eb7af1a0c58b8f6742

Observation 9c4691dd-9b9c-4e1e-954a-ca484180260b · inbound

KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation cites this paper.

KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:43.867121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T11:56:52.779983Z digest=sha256:88c6f55d882acf2e0ac57e5c655982d0ad6b33b7740dc6658c5aeea328ca634c

Observation 91ef67f9-ab35-488e-a5a4-7566b0c4bc9a · inbound

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data cites this paper.

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 35

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local_arxiv, observed 2026-07-10T18:47:31.655073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-10T18:39:34.356696Z digest=sha256:dd967f9b47b9e8c4cd239ec60b6fc7ef9230a063ecc9870eab594edf57b9d521