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Paper Citation Record · LEDGER

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.14095.

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

pith.paper-citation-record.v1
2204.14095 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T14:22:16.968028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T14:22:17.205509Z

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 b135d550-b885-4e7d-aa7c-41e083e44ffd · 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 PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:22:17.209492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T14:22:16.968028Z digest=sha256:441f43cb7a9e84ffadddba6e30e2655a8c3b13bf451c19ca69e05cf4dc46f270

Observation d59b29e3-6049-4b0b-98cb-b41a6797ae59 · inbound

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference cites this paper.

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:26:01.822361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:38:00.522094Z digest=sha256:5f0b2eedaa108ad15ee22258e489be0e11da7d5a031b0f0080e7ea3956d31902