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Paper Citation Record · LEDGER

Prediction with Action: Visual Policy Learning via Joint Denoising Process

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.18179.

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

pith.paper-citation-record.v1
2411.18179 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:32:43.779814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.161071Z

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 1202615c-7b2a-4fb4-ae69-df1faa8315fa · inbound

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver cites this paper.

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:32:43.779814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:32:43.779814Z digest=sha256:08edbb60373cfa41fa46f06cabfabf39f1e4f0daf62fc42b914486ef46f2100b

Observation ad23fce4-1b03-4782-a739-fc99ec48abce · inbound

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models cites this paper.

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T12:30:33.785468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:30:33.785468Z digest=sha256:c6b4d96c3e92ae783d7a66cd96deec6e1af15c95cf9ed1e31d6452bafc69cc97

Observation e34fe61f-4da2-483a-8fa6-89df1dea2c80 · inbound

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data cites this paper.

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:03:01.185237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T17:02:18.358675Z digest=sha256:7d570ee1635ef2615aef1209875ec7f04314727086edff3ca60cedaa9a953a32

Observation 776906c3-a569-4d81-bd73-e67635b3c252 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:02:17.923754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:b96d3bd4bbe47aa46222e5c8478ae6ec996808408bd5b77f6fd9d5342674f045

Observation e2a8181f-4b2c-4ba0-b5fb-f79447ce3a85 · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:57:17.162654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:43:30.625293Z digest=sha256:710809e3b0293d46fe6d9db952da419ac80a2d7e40138faa104a95af83049f6f