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Paper Citation Record · LEDGER

Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17435.

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

pith.paper-citation-record.v1
2409.17435 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:56:36.082014Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:01:02.234992Z

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 d8acf01f-f533-4e1f-916d-60215285064f · inbound

Vision in Action: Learning Active Perception from Human Demonstrations cites this paper.

Vision in Action: Learning Active Perception from Human Demonstrations Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T23:56:36.082014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:56:36.082014Z digest=sha256:a32d6ab9d33c81605fbb6aab02b45f5944cbde19b88de49d4ff4279dbafbc114

Observation a434271e-8c86-4fdc-8ea3-b511b3c1fc0c · inbound

Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers cites this paper.

Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:26:24.735889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:26:24.735889Z digest=sha256:071fd83920a8ea6474db4346e0dff75e77859fb0c771765e4532744cfe444834

Observation 89cf13f4-b696-474f-b0d5-859635ee5311 · 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 Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.238343Z

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=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:99fec91b6efe1fd1997ce04a99c83a80a71a466265cbb4abda79f5bd73c56066