Paper Citation Record · LEDGER

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2402.04252.

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

pith.paper-citation-record.v1
2402.04252 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:21.824481Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 604dbd24-601d-4acc-8380-8d19cf97cc55 · inbound

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering cites this paper.

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T12:52:30.936377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddc42c3-c86a-4170-bcf8-4bac5e3c75cd · inbound

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator cites this paper.

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T12:25:18.540134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fea92edb-8c75-4ce7-bf16-cfa6668d7746 · inbound

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

VladVA: Discriminative Fine-tuning of LVLMs EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:26.482104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b354a4-655a-47d7-95f2-dbe1febb5d04 · inbound

VCA: Video Curious Agent for Long Video Understanding cites this paper.

VCA: Video Curious Agent for Long Video Understanding EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T16:51:15.266437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b522667c-c3bc-4f99-85bb-2221c3497082 · inbound

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment cites this paper.

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T10:45:04.412388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05160980-7f19-460b-92ea-469bcdb45e34 · inbound

Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation cites this paper.

Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:25:41.992024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f91f3df-ccea-4e11-afc9-3cfe486b66ee · inbound

Towards Conscious Service Robots cites this paper.

Towards Conscious Service Robots EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-10T14:33:14.601690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c137259-cc76-4756-84a7-bcbf761cb4c4 · inbound

Understanding Long Videos via LLM-Powered Entity Relation Graphs cites this paper.

Understanding Long Videos via LLM-Powered Entity Relation Graphs EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T13:53:26.637867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ad16bf-1e74-47a6-9bd8-d43c48855210 · inbound

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models cites this paper.

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-09T00:12:36.489685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf53bbe-ea34-459b-95a4-8b2c145abedf · inbound

Conformal Predictions for Human Action Recognition with Vision-Language Models cites this paper.

Conformal Predictions for Human Action Recognition with Vision-Language Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T14:57:12.636325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20477537-a323-4c31-956e-b3057dc27188 · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T14:25:55.850157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 761d635e-cc0e-4563-abd0-2d153a7b3767 · inbound

Perception Encoder: The best visual embeddings are not at the output of the network cites this paper.

Perception Encoder: The best visual embeddings are not at the output of the network EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:21:15.804400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33163676-9942-43da-96e7-7883f6a5b377 · inbound

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM cites this paper.

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:41.212978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6141965c-c4e6-409f-9782-80e21e49fed8 · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:26.469919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac52ac6-a3b7-487b-a43c-42578b84fa9e · inbound

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying cites this paper.

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:47.669708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b287334b-6846-47e4-9a02-02e8a143c3d6 · inbound

Can Argus Judge Them All? Comparing VLMs Across Domains cites this paper.

Can Argus Judge Them All? Comparing VLMs Across Domains EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:52.199619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d1c2b4e-a74b-4f70-8c1c-f0b2b2932a61 · inbound

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames cites this paper.

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:06:26.749785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e092c2f-2333-4d1d-849b-1b18121ed4e0 · inbound

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments cites this paper.

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:55:45.406624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5006196a-e851-43d4-b838-bb79c4440a6c · inbound

Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders cites this paper.

Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T13:59:44.047838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a8c8bd-7223-4a3f-a987-fd10e00d65c9 · inbound

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents cites this paper.

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:41:22.579211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c74decde-c081-47ff-baf8-5c04afc10656 · inbound

QKVQA: Question-Focused Filtering for Knowledge-based VQA cites this paper.

QKVQA: Question-Focused Filtering for Knowledge-based VQA EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:57:54.033143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24b1a7b5-fabe-48c9-99c0-5ccc3d4e1fe9 · inbound

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs cites this paper.

Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:57.341823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210dbf3f-69e6-41c3-ba71-1ed8a84f9b3b · inbound

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:10:02.006151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a43f5ecc-af12-4c0e-b663-17de2f84e7cd · inbound

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-14T22:43:59.727378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab31082e-b61d-4101-a65d-f26a4078c97f · inbound

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning cites this paper.

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:14.532847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9dd7262-0e5a-42be-91d3-07b0c2fb289d · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:13:00.915838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 58593182-a8bb-40e1-84b2-f315e94771f7 · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-14T19:54:25.294067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f1319da-4fef-4b53-9cca-409ce23938c0 · inbound

Benchmarking Deflection and Hallucination in Large Vision-Language Models cites this paper.

Benchmarking Deflection and Hallucination in Large Vision-Language Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 4

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T10:31:00.678352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e3b25e8-7e0a-4d90-8e9a-b9b75bd515fe · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.682843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f31a42a9-3475-4e02-aa22-a9e3b35373a2 · inbound

Exploring High-Order Self-Similarity for Video Understanding cites this paper.

Exploring High-Order Self-Similarity for Video Understanding EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.461872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ec127f8-c038-4205-9379-8c004079cb78 · inbound

HiCrew: Hierarchical Reasoning for Long-Form Video Understanding via Question-Aware Multi-Agent Collaboration cites this paper.

HiCrew: Hierarchical Reasoning for Long-Form Video Understanding via Question-Aware Multi-Agent Collaboration EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:26:02.222190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1219347e-580a-4b29-802e-2749de453990 · inbound

Sensorimotor World Models: Perception for Action via Inverse Dynamics cites this paper.

Sensorimotor World Models: Perception for Action via Inverse Dynamics EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:30.299865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7e01b75-078c-4ca5-8725-73c52626a467 · inbound

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:36.655493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7bafcb59-91f1-40f5-bec6-abf94911e215 · inbound

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification cites this paper.

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:59:46.881141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c2d5fa3-575a-4d5f-a188-1c1710b824b6 · inbound

ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP cites this paper.

ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.784830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38118793-1777-41f9-b8f6-6a1acc7ce684 · inbound

Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting cites this paper.

Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:17:17.749685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 851cac4c-9e90-4435-b87d-30ba397117c2 · inbound

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering cites this paper.

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:17.047603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353c7071-a8c2-4dbc-9acf-c8a45a9ce76c · inbound

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering cites this paper.

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:19:52.837353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73156e81-089b-42ab-81a5-5f4185047780 · inbound

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection cites this paper.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T13:46:27.714417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9564f85-1ea9-44da-887d-e3491ad51c66 · inbound

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection cites this paper.

LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T04:18:21.824481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.