Paper Citation Record · LEDGER

Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.17271.

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

pith.paper-citation-record.v1
2203.17271 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:59.140975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:29.839808Z

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 54c580f6-6c77-4e44-9636-09a75b1d5d17 · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T05:28:51.838929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a854f8-6d9c-4611-a8b9-cbb173b925f8 · inbound

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization cites this paper.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:59.140975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1522979d-0ac2-4eeb-8259-74d327117a0f · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

Reference 243

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:23:39.173779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 556fb80c-cced-47fc-b5a3-3afe4fd58bae · inbound

Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds cites this paper.

Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:29.843973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.