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Paper Citation Record · LEDGER

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.18623.

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

pith.paper-citation-record.v1
2411.18623 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:35:04.886622Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T12:33:45.438443Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 ea8c5adb-64c6-4fd7-b084-84f5edb24dbb · inbound

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:48.849426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T22:00:48.667428Z digest=sha256:8e8bc70a43d277c2a2ae2a6ff9aa9db9b077753e6d54d52cec17ee4446f570ac

Observation 67aab562-a556-45c5-bb97-7507cad2d503 · inbound

InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation cites this paper.

InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:10:16.009585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T19:07:46.733450Z digest=sha256:e3abd0b139629b1b10ab702b989a7ee09a271f189e2ea288af4582282e2505cb

Observation ea14349b-a3c8-4160-afa2-c4198e242ff0 · inbound

InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation cites this paper.

InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T20:35:04.886622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:35:04.886622Z digest=sha256:696668eee1e4608ba416d6cc0fa345d3bde65e78fc866264762067adc204978a

Observation 3c2acb55-e3c1-4861-879d-ac06b1e950fa · 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 Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.030023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:01833d45cf883f1a6e42bbe20d95f6440ab884f2ea717242f59c3be9d6a6b54d

Observation b3e66a40-1738-430b-b6a0-7fd84689601b · inbound

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models cites this paper.

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:01.608449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:20:47.418874Z digest=sha256:7025f660d18f1f3723e10d12a7498eea9112962e24a5994a01f6f35fcaa20c9c

Observation 98a2996b-22fe-43da-a87e-9de3aacc7893 · inbound

R3D: Revisiting 3D Policy Learning cites this paper.

R3D: Revisiting 3D Policy Learning Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.162646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:2b460a7f801d7a77dc4541272aafe55ddfc61c3ec2512e27d5955431d23e5056

Observation ce9de4a7-6614-4986-be30-2f253ae8b9e7 · inbound

ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation cites this paper.

ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:06:06.123686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T16:40:19.057979Z digest=sha256:ff5006597156d1c28bb7f6fd1ae227ab21daab577e710a8c217112cb13c7435f

Observation 19ffcfbf-89f8-403d-904f-de8cb35341d2 · inbound

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation cites this paper.

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:49:31.175411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T03:46:30.726145Z digest=sha256:477e2c1ecbbd2522c9608fedecd60a74b7d9ab177539fd49ec9d18a9d8ad37bc

Observation 7f5d7be6-2e80-42b4-a90d-d3fe17f7cf38 · inbound

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models cites this paper.

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:44:40.712790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T13:40:59.330788Z digest=sha256:c28a650c96c252df542a211866328a39b6d7567ddd63cd270f8047542fbe7587

Observation a3c4e1f3-8678-4f6d-9417-f2a0bcf3709d · inbound

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation cites this paper.

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:59.306851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T21:27:26.682689Z digest=sha256:13b61a1f817d5b5c5f471d9ac3bbeb59f3d8059e487084c3b013505e4b103b89

Observation d2a9ab2f-5375-4ee5-9de0-283f12d18207 · inbound

Action-Effect Memory Pretraining for Robot Manipulation cites this paper.

Action-Effect Memory Pretraining for Robot Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:48:04.860804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T09:22:17.435427Z digest=sha256:da808b384b5b9aef323aa665097349d447750ec3436a9ed84dedbc387d626a88

Observation 1e16d057-be97-4e2b-84c0-6d6e0c850e69 · inbound

GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation cites this paper.

GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:18:33.012589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T06:37:21.516021Z digest=sha256:1d2bdeddf80743cef72c0aa654241c25eec9b5dd58241ce88e1a8dafd362058a

Observation d597c400-29ff-44ef-a6ac-60c14c6ead47 · inbound

From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model cites this paper.

From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.439881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-07T12:28:21.318505Z digest=sha256:1defd56c71ea6ed8632ba77ab8e70fd3266fca4ab6efc871cfd1142babbf47aa

Observation 6c60db58-34b1-4852-a347-e04e46c2f268 · inbound

DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning cites this paper.

DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-31T22:22:57.487284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:22:57.487284Z digest=sha256:d9db56826f6fd58328309abc5fffe807d68d3571c8038a5fcbf5a63075ed1342