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Paper Citation Record · LEDGER

Simple but Effective: CLIP Embeddings for Embodied AI

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.09888.

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

pith.paper-citation-record.v1
2111.09888 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T13:26:53.843613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:26:53.948355Z

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 714342f0-cfbe-41a1-ae21-232c49cdf7c9 · inbound

R3M: A Universal Visual Representation for Robot Manipulation cites this paper.

R3M: A Universal Visual Representation for Robot Manipulation Simple but Effective: CLIP Embeddings for Embodied AI

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:26:53.950725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T13:26:53.843613Z digest=sha256:ec72ff4f06942752247896af1c699fcd7aa5a654197529973306d7d81c22b77d

Observation bd4c3176-4c99-4d22-b325-8bde8af620d9 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Simple but Effective: CLIP Embeddings for Embodied AI

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T14:22:17.259795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T14:22:16.968028Z digest=sha256:17f153a50dd810b5fdf54e863f8a9e0f115fc2c37c6b523c4d5f5a0a9ea9b1f0