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Paper Citation Record · LEDGER

Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.00420.

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

pith.paper-citation-record.v1
2504.00420 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:33:48.487515Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T14:08:35.517612Z

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 85cd5166-56d9-467d-ae2d-9aa866a98f5e · inbound

Hume: Introducing System-2 Thinking in Visual-Language-Action Model cites this paper.

Hume: Introducing System-2 Thinking in Visual-Language-Action Model Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:48.487515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:33:48.487515Z digest=sha256:20cfaab4e1a2e521c620a619b6d43887ac1966746202aa46e91ce11358fdea8a

Observation 814e77b7-38fd-42b6-a6e5-916affb74a3c · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation

Reference 204

Resolution
verified exact
arxiv_id, observed 2026-05-17T14:08:35.520012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T14:08:34.893876Z digest=sha256:719d9717aefa141589df6b7f2d1a859d3dc9c13ba812a4034faeb6beba957510