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Paper Citation Record · LEDGER

Semantically Controllable Augmentations for Generalizable Robot Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.00951.

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

pith.paper-citation-record.v1
2409.00951 v1

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:10:31.340721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:17:01.417440Z

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 d2c9663e-4c73-4ba7-b74b-28ccb40ff8d0 · inbound

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation cites this paper.

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation Semantically Controllable Augmentations for Generalizable Robot Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:17:01.419280Z

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=2026-05-15T12:17:01.294466Z digest=sha256:6c6f96444fc613714deaf80dab2a426f0b15c352027c23e91a822cf6d46b395c

Observation 02ac017e-28c8-454e-944b-c4e96a863ad8 · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation Semantically Controllable Augmentations for Generalizable Robot Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:17:50.419194Z

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=2026-05-14T19:15:45.167147Z digest=sha256:9ba94fe84c34535bd46cc822fe06f9b7da9a0fca9e14a73d4dd13c13665f4a4e

Observation 62c3fdd5-c573-4aa8-97d0-e2fbbefb300b · inbound

Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action Models cites this paper.

Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action Models Semantically Controllable Augmentations for Generalizable Robot Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T06:10:31.340721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:10:31.340721Z digest=sha256:326ee4e7dadfec983a746a358da009fe7d75dee16bb5228110bfb4b95dfbcdfa