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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

  • verified exact0
  • verified fuzzy0
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  • parse uncertain0
  • 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:f882ca2acb2e15157c89b5861c36fdf8726977ae21992ab4dbe2cb12374a1937

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:b33901f423b64fb77924d6e1ea5552255fea260d0485ce07ca5b45b390e74992

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:c6ac6d6935613c895d1f276e26bf1670bcf317ae66d8aac23b5fbaed1cd30fe6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:543f2172329ff4b3c04a13db82b8b383a37a6c9797158d4ea529d0673dccce59

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:ac702061c70f545c56b4d04c9cf371eacf3537e2d8310c574eb4f8a173ecb843

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:68134f1dd3ae3e6250bb0e0330c621a90dc87f269f18cd0f788d8447d66b37ac

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:e14a2c513dd6f892426c50cc26766228d87bac2d541126488568b80b5051ed30

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:e77d235e897cac20a53ab46dbf4ddc9b72debaf6cc5775ea1611ef96714d4a04

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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no resolver link, observed 2026-07-13T04:49:06.515590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:f2208c7d23fbe8b809e3f99b065249b7ac767dfe47cd060f2cdd54c0b6349e20

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=sha256:053c91dc1c7a5a9c62bc25524a9c2f1e45b3d279d90ce0b15343e6016be415a7

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:c2e0f022bb3c4bd3e467399f2edcac08157dc00f54592a666df7ec53040b02dd

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:e501eeea403d4761e7c77c51a1da53e1949e8fd5476ba670073e45b980f8d9d6

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:d917d7d9c259d775ccf9eafcdff5b1fe5f911159a06cc9ae2879871e81592b33

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=sha256:08fc6070bc207ba47905deb8db1a8889fca0bbc809fa59733da07f1012b2b51b

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=sha256:065019d3a8be4785afdce96c48518db6e69ba41c38d5524179d37581ad20f210

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:49:06.515590Z digest=sha256:5e74ac6b827afe251496334cff376a8b0a35d70b3c792d70642aefacef841d34

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:b58d7e0791ceac4bab858ea28ea097852bbfac085eddba39efdc9b1fae12f314

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=sha256:5d2a89a55e74e026118588c0069d168c5eafa5d39dfa79af06b0e518b2df57d3

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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local_arxiv, observed 2026-08-05T00:58:43.281658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:58:37.209966Z digest=sha256:af1b22450a829bcf0d0ef83df54759421ecf4b3f71be4c6f20995d2d766fbdc9