Paper Citation Record · LEDGER

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.10537.

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

pith.paper-citation-record.v1
2212.10537 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:11:51.071811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.013479Z

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 4d502446-6440-47de-b3a7-37f7735ac5f9 · inbound

On the rankability of visual embeddings cites this paper.

On the rankability of visual embeddings Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:11:51.071811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586e91a0-aafc-4d84-acaa-ce2586000d19 · inbound

Position: We Need An Algorithmic Understanding of Generative AI cites this paper.

Position: We Need An Algorithmic Understanding of Generative AI Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 3529

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.128324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cddf270b-ab97-4fbf-939b-36699f877d03 · inbound

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models cites this paper.

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:48.029297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b576d8-1f59-4afb-86ff-79044d85fff2 · inbound

No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models cites this paper.

No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:00.384430Z

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.

Observation 58312dd9-8a5a-44e8-9a43-c317354af3f0 · inbound

Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.

Generalization in LLM Problem Solving: The Case of the Shortest Path Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:39:38.173114Z

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.

Observation 34141111-1033-46c0-a9d4-ecc26ad17a99 · inbound

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

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 244

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:23:39.015208Z

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.