Paper Citation Record · LEDGER

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:32:37.770193Z

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 50fa22b2-5828-425f-a25e-2d0167f583e2 · inbound

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios cites this paper.

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:02.621635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1165c50b-4dbc-4f5c-833d-04a6de10eeef · inbound

VladVA: Discriminative Fine-tuning of LVLMs cites this paper.

VladVA: Discriminative Fine-tuning of LVLMs Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:26.389327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27cc0c02-f10f-4d5c-9aac-99aecd694353 · inbound

VSC: Visual Search Compositional Text-to-Image Diffusion Model cites this paper.

VSC: Visual Search Compositional Text-to-Image Diffusion Model Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:32:37.770193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.