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Paper Citation Record · LEDGER

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2607.09191.

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

pith.paper-citation-record.v1
2607.09191 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:49:06.515590Z

measured 19 of 19 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:58:37.209966Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:58:43.109058Z

Reference resolution

18 of 18 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccbb9713-c93d-451f-9e12-4f4e8f25b620 · outbound

This paper cites Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:c24ce181a4d8d8bb55dcbcd64c41e26cd11d59407ee71067aff06ccf2b829690

Observation 6d94ddaf-8c78-4b93-8cd7-204f764d7017 · outbound

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

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 2

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:cf2e8caaa75914750de2f96bba6866b5b7cb9a3ac7a1449999a20785cf5b4b7b

Observation 34a6d6fa-e57e-480d-9d64-36aed14c8b6b · outbound

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

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 3

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:f16048c45509be6d561f84fb3d4c8106a920420de5ed299ecba429840f8ec423

Observation b18e488b-ed2f-4653-ab42-06e780f7c480 · outbound

This paper cites Do as I can, not as I say: Grounding language in robotic affordances,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Do as I can, not as I say: Grounding language in robotic affordances,

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:67752d82ba24b0100fbc71875f9d399c60d185eda337b3367fa844c4a671ed71

Observation 2f6b5de7-e7d4-404f-8c94-217dc89177c8 · outbound

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

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency PaLM-E: An Embodied Multimodal Language Model

Reference 5

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:a68d6ca119ea44083904431ac236fd84c6ae54ed5dfa9fea12a50cc05de96c55

Observation ec0e1813-9647-4b60-b496-f555a338831f · outbound

This paper cites RT-2: Vision-language-action models transfer web knowledge to robotic control,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency RT-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:5e217df2c82d400ea203c5b45b4f075edf0875676308ecbb8916e60cd943987e

Observation 97c6ee02-75b8-4c23-ac12-9a7e0f03544e · outbound

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

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Code as policies: Language model programs for embodied control,

Reference 7

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:5cad32574d6fb57c4ee5338884cf30da260af03156c42dbb2758401377e34f66

Observation 8a95bb3a-280c-46b6-9eaa-23bf94807cc7 · outbound

This paper cites V oxPoser: Composable 3D value maps for robotic manipulation with language models,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency V oxPoser: Composable 3D value maps for robotic manipulation with language models,

Reference 8

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:8c3ea41e9d02e30a8e1fd4867d0a525ca1f74f5fb374da7e2b4134d0925d9f59

Observation 296993b8-4797-442c-b375-838b9f12fbb7 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:6d86a99af4268eda1ba444e75c72f13d8bdbecab99965742ebdd11c4a075b676

Observation 522ad650-5f0a-4c71-939d-5893b21c008c · outbound

This paper cites Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

Reference 10

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:7140873f469993af200030f4bafcbf5c08cc627b2bdbc98a4845313dc0a94531

Observation bad8b4a4-ae29-4c20-83ea-797fc1bd1f53 · outbound

This paper cites NovaFlow: Zero-shot manipulation via actionable flow from generated videos,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency NovaFlow: Zero-shot manipulation via actionable flow from generated videos,

Reference 11

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:23b66bed917266ee326f9e16053393cc3cc5057bd91598689a5f963a4ae958ee

Observation 61ddd696-eb10-4dfc-b888-adfd118130dc · outbound

This paper cites Segment anything,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Segment anything,

Reference 12

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:09881cfcbe3f41796f3e51f89eedee6737f17e4005e3a300bc8096a4c320f1e6

Observation 303d32b1-104e-4000-a8f8-d06e9bed2703 · outbound

This paper cites CoTracker: It is better to track together,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency CoTracker: It is better to track together,

Reference 13

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:aeffbcd0d287ce10252dbbb2d50f15732195d7d796e24ff1caa1d974494f59f5

Observation d0d4576f-5c44-4502-a247-3fb91ed6385b · outbound

This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,

Reference 14

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:8e57c8cd5c347d61a6bf73ce88c5e2c0f866775af3729085555d2de107591779

Observation ef2d57a0-00f2-4591-aacf-290cffe73fda · outbound

This paper cites EPnP: An accurate O(n) solution to the PnP problem,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency EPnP: An accurate O(n) solution to the PnP problem,

Reference 15

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:f3409b86e611bd6b92afca9fde6c195c7b0c414bc4419ee01843ee033c741a7c

Observation 73f2ad5c-e30b-4bc5-a84d-b5b5a8a4ba7e · outbound

This paper cites FoundationPose: Unified 6D pose estimation and tracking of novel objects,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency FoundationPose: Unified 6D pose estimation and tracking of novel objects,

Reference 16

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:93915bd17b38962b49451365aa96adb8ef56b8d76c6f3d9d19a2123150ef9ade

Observation 15678585-dfd6-4b2d-8314-4adc142ac965 · outbound

This paper cites Data-driven grasp synthesis—a survey,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency Data-driven grasp synthesis—a survey,

Reference 17

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:724ed21e0bef68a5870bda9d9b10ee2ac61c372d6d7a079a722722ce10146c88

Observation 8ed14ce9-bb7d-4c01-8876-6577eaa96948 · outbound

This paper cites AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains,.

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 18

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source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:834668469d44e838192a12fd7ad817ef7a8deb039e059018c121d4deed5023f3

Pith citing papers

Observation b00ffd60-9a84-4d47-8a1f-c3a09780803b · inbound

DreamTraj: Generating 6-DoF Object Trajectories by Reading Unrendered Video Diffusion Latents cites this paper.

DreamTraj: Generating 6-DoF Object Trajectories by Reading Unrendered Video Diffusion Latents GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency

Reference 11

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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=arxiv_source observed=2026-08-05T00:58:37.209966Z digest=sha256:b029899260b96904ade6e26d98751a59cc10334a13c149aa7b1be0824a4ccbac