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Paper Citation Record · LEDGER

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2607.04652.

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

pith.paper-citation-record.v1
2607.04652 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T15:45:43.483298Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:44:08.871103Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:44:11.655777Z

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved39
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  • malformed identifier1
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External citation measurements

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Outbound references

Observation 0a909857-9873-46e9-8519-bda8c5969e36 · outbound

This paper cites Flow Matching for Generative Modeling.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Flow Matching for Generative Modeling

Reference 1

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Observation c240e029-135a-4073-866a-00f8344b124c · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 2

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Observation 59f8b23c-7f6a-49ca-bfd1-227c07e87abc · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 3

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Observation f11b2977-09d7-46fb-adca-42af0137e7b7 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 4

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Observation 322a37e4-b25f-4a6b-b51e-65243b017cd3 · outbound

This paper cites Radford, J.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Radford, J

Reference 5

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Observation 3dc43965-eb66-43a5-aae6-7cea96685623 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 6

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Observation 5ad8fcdb-29f8-4690-921b-33955fbc73f7 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation DINOv2: Learning Robust Visual Features without Supervision

Reference 7

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Observation 988c6818-e8c8-4c94-a07a-6b35d2a81192 · outbound

This paper cites Kirillov, E.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Kirillov, E

Reference 8

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Observation e97ded42-68d5-4801-b226-1bdfea3b1514 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 9

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Observation 0a94e7f6-29fb-4384-af08-803579e0f21c · outbound

This paper cites Radosavovic, T.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Radosavovic, T

Reference 10

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Observation d61a1901-768f-4ef0-877d-59ceaa9791fa · outbound

This paper cites Majumdar, K.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Majumdar, K

Reference 11

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Observation a0a8611e-1b6f-4452-b700-df6d2ed56f21 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 12

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Observation 6659c796-907e-48e8-ba1d-75d34e449fae · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 13

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Observation 4d561354-a293-4970-9a8c-ff9ae453f00d · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 14

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Observation 5f45daca-1ff2-4807-af86-6fc0d73fc890 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 15

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Observation d448eea9-1d40-495f-bb82-157b70ca8c40 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 16

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Observation 60920d18-7b6e-4f8d-9344-796e1654fdd3 · outbound

This paper cites Shridhar, L.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Shridhar, L

Reference 17

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Observation 4220f70c-9cef-44aa-bdf2-ffb704611413 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 18

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Observation cbb7c012-ad54-4887-ac45-03b606dc0656 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 19

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Observation b378e83f-dac2-48a5-8a87-4ae24c4ed3f2 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 20

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Observation e6440d88-0c99-4ba8-a512-b76b54badd95 · outbound

This paper cites Black, M.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Black, M

Reference 21

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Observation 817503ac-43be-4c23-93dd-9db7df5b2401 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-11T15:45:43.483298Z digest=sha256:d3e2f32d6df1485ab19be98253b809de377f01e8a248e6292ff7f1108e4f0e61

Observation a7b3adeb-44ee-4267-b698-9e130f513043 · outbound

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

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 23

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Observation 5daaf128-360b-4409-8b78-48b670692cc3 · outbound

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

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 24

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Observation 65918d76-4628-4586-9744-983f0fee4557 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 25

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Observation 5acc4430-78af-4020-b2a4-ccc4ae5edcdd · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 26

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Observation 4fd2c69e-c797-474d-8b1e-b95439d03cbc · outbound

This paper cites Any-point Trajectory Modeling for Policy Learning.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Any-point Trajectory Modeling for Policy Learning

Reference 27

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Observation 4aa3c5c8-c4ad-49c4-8595-64319aa71636 · outbound

This paper cites Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation

Reference 28

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Observation 51c3f9c6-c19f-4a0d-8b30-d75045a642b2 · outbound

This paper cites Flow as the Cross-Domain Manipulation Interface.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Flow as the Cross-Domain Manipulation Interface

Reference 29

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Observation fde5182d-eae2-469b-a989-ab3afc9c9f55 · outbound

This paper cites General Flow as Foundation Affordance for Scalable Robot Learning.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation General Flow as Foundation Affordance for Scalable Robot Learning

Reference 30

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Observation 11fa12dd-36be-4b5d-999e-e4e471b0c94a · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 31

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Observation 934e54ac-7975-47cc-964e-03c4c81e418f · outbound

This paper cites Jaegle, F.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Jaegle, F

Reference 32

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Observation b021e674-7fa8-4d62-8b08-d588e07a6d16 · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 33

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Observation 2ffeb90f-4482-47a2-b0cf-33be950fab4d · outbound

This paper cites Perez, F.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Perez, F

Reference 34

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Observation 6e2d86c9-50e7-4d22-aa80-dd6e15903e8b · outbound

This paper cites an unresolved cited work.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 35

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Observation b2474aa2-ae6f-47e9-9a76-08e05ad2210f · outbound

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KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 36

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Observation fcbff5ea-95cf-4267-b0f8-4ec35f80f448 · outbound

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KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Unresolved cited work

Reference 37

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Observation eb82373d-f568-47a7-b9b6-aecb5a80be73 · outbound

This paper cites Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning

Reference 38

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Unavailable: canonical work link unavailable.

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Observation 56c12598-a12d-4ec7-9544-c770e6e1acc1 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation SAM 3: Segment Anything with Concepts

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T15:45:43.483298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:45:43.483298Z digest=sha256:a8e51bf415bee14b900d31cb901b56ed82375ce774c0e5622dc9e79cd3200aca

Observation 2e22b0dc-12ec-487d-ad7c-2af895259095 · outbound

This paper cites For RoboTwin 2.0, proprioception includes the 14-DoF dual-arm state and end-effector poses.

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation For RoboTwin 2.0, proprioception includes the 14-DoF dual-arm state and end-effector poses

Reference 40

Resolution
malformed identifier
no resolver link, observed 2026-07-11T15:45:43.483298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:45:43.483298Z digest=sha256:283193ca391fc1873140bfab115db310ba928bb58765f238cccd98082fbb8a17

Pith citing papers

Observation 971d87fd-53f7-4adb-b27e-e189bdb74a4b · inbound

Disentangling Visuo-Tactile Foresight: Oracle-Guided Interface Discovery for World Action Models cites this paper.

Disentangling Visuo-Tactile Foresight: Oracle-Guided Interface Discovery for World Action Models KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:44:11.704035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T00:44:08.871103Z digest=sha256:3a57230b8a5893203bef55fcd3dc8cf137970ce3ee4404424c886f2f20bbde60