Paper Citation Record · LEDGER

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.17136.

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

pith.paper-citation-record.v1
2311.17136 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:54:16.090827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:04:06.385968Z

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 9eb37c1f-49d8-428c-843f-d5913ca6a3ba · inbound

E5-V: Universal Embeddings with Multimodal Large Language Models cites this paper.

E5-V: Universal Embeddings with Multimodal Large Language Models UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:52:20.997627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a252475-68c3-434d-8555-4eb5a7fa0e70 · inbound

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks cites this paper.

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:19:44.036122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a2bb418-0967-4d9a-bec7-4de635afd9ff · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:37:25.844287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8462c595-82f9-4c73-9e8a-f598044ab3da · inbound

UniCoRN: Unified Commented Retrieval Network with LMMs cites this paper.

UniCoRN: Unified Commented Retrieval Network with LMMs UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:16.090827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eab1213-4d83-4397-8543-039fc4d01fd5 · inbound

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation cites this paper.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:00.148561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8696f738-641d-4342-a4b3-33eb79be61ff · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:47:45.494104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87e3b76b-4bd3-41f8-99fb-fb22c8d85407 · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:53.847063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83670997-1aa3-4083-a225-5d69b7a5fe9e · inbound

Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning cites this paper.

Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T19:41:34.908876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29d1da9-7f30-4099-ad6b-c2878695ddf2 · inbound

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models cites this paper.

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:01:11.493357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2568888-543b-4bd7-84e6-0b4341796ece · inbound

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models cites this paper.

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T15:38:00.354435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49a46f1-034c-44f3-949b-271018d67f4f · inbound

Your Embedding Model is SMARTer Than You Think cites this paper.

Your Embedding Model is SMARTer Than You Think UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T00:04:06.387716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.