Paper Citation Record · LEDGER

PLUME: Latent Reasoning Based Universal Multimodal Embedding

As of 4 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2604.02073.

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

pith.paper-citation-record.v1
2604.02073 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T21:48:40.722921Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:35:21.372512Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T18:03:36.933948Z

Reference resolution

57 of 57 outbound references displayed

verified exact30
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 027c6af3-c73b-4517-b32d-bf11d5ae2e4d · outbound

This paper cites Qwen2.5-VL Technical Report.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Qwen2.5-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.018342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 461f082c-7575-4ae2-890b-803131c07d9e · outbound

This paper cites Curriculum learning.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Curriculum learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.153236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2346178e-b092-41c7-a44a-ce6802d66eb7 · outbound

This paper cites MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings.

PLUME: Latent Reasoning Based Universal Multimodal Embedding MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.962706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation badc0a05-4088-4815-9d78-5fb4439f7e6d · outbound

This paper cites Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025a.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025a

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.013498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b92bb5f-be49-41bb-96d6-f23ce6f2d9ab · outbound

This paper cites arXiv preprint arXiv:2510.05014 , year=.

PLUME: Latent Reasoning Based Universal Multimodal Embedding arXiv preprint arXiv:2510.05014 , year=

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.034261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1329f7f-cdc7-4682-8bdd-f69b80cb800f · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding ColPali: Efficient Document Retrieval with Vision Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:35:41.289440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f5c6208-db78-4bb5-a047-88c8e29a820a · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:19.965479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11d34cdd-0d3b-4a67-9fcb-9d87f1ea196b · outbound

This paper cites Think before you speak: Training language models with pause tokens.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Think before you speak: Training language models with pause tokens

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.975640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da4e3547-a919-4072-bd7f-2672385a0c53 · outbound

This paper cites The Llama 3 Herd of Models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding The Llama 3 Herd of Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.005863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be72931d-abf2-427c-8c25-2e00efb2ca3b · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Breaking the modality barrier: Universal embedding learning with multimodal llms

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.978870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f274357-1d70-4366-a59e-914aa6d48500 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PLUME: Latent Reasoning Based Universal Multimodal Embedding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.029063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d433eff-2e84-47db-bd70-d835ff7855cf · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Training Large Language Models to Reason in a Continuous Latent Space

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:19.991578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc4003e2-f3be-4ac7-9fb1-0897c9becd2b · outbound

This paper cites Trace: Task-adaptive rea- soning and representation learning for universal multimodal retrieval.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Trace: Task-adaptive rea- soning and representation learning for universal multimodal retrieval

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.029287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01334dc6-7c3e-47c8-b4cb-0a71141a0ef7 · outbound

This paper cites Gaussian error linear units (gelus).arXiv: Learning.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Gaussian error linear units (gelus).arXiv: Learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.017891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d2208a64-fef1-408b-a043-349785fa0c5e · outbound

This paper cites Unsupervised dense information retrieval with con- trastive learning.Trans.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Unsupervised dense information retrieval with con- trastive learning.Trans

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.003060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94535ed8-055f-41d5-9f02-69dee1b07f38 · outbound

This paper cites Cumulated gain- based evaluation of ir techniques.ACM Transactions on In- formation Systems (TOIS), 20(4):422–446.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Cumulated gain- based evaluation of ir techniques.ACM Transactions on In- formation Systems (TOIS), 20(4):422–446

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.161916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7eab02af-d4fb-432b-ac93-dcb59c52d2ba · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.994968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2d9fa5f-eebd-470e-befa-e22263348b26 · outbound

This paper cites Embed- rl: Reinforcement learning for reasoning-driven multimodal embeddings.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Embed- rl: Reinforcement learning for reasoning-driven multimodal embeddings

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.008281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5e6b8e40-9c2e-4d3d-b3cb-d30bf3819630 · outbound

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

PLUME: Latent Reasoning Based Universal Multimodal Embedding E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:52:21.013841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2cea8a44-9ef6-40d3-b0bd-81c2db8ba60c · outbound

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

PLUME: Latent Reasoning Based Universal Multimodal Embedding VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:19:44.112009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e11658cd-707b-4a21-b7c9-75a16ef72353 · outbound

This paper cites Laser: Internal- izing explicit reasoning into latent space for dense retrieval.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Laser: Internal- izing explicit reasoning into latent space for dense retrieval

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.990190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd622f0b-be9e-4732-aaf8-3d66fc25472b · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Efficient memory management for large language model serving with pagedattention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.010643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19d27ce0-432e-4653-bc68-7d16213f1e9e · outbound

This paper cites Llave: Large language and vision embedding models with hardness-weighted contrastive learning.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Llave: Large language and vision embedding models with hardness-weighted contrastive learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.959643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2c51b19-46bf-4d5d-87cc-1a8a8cd0105c · outbound

This paper cites arXiv preprint arXiv:2511.00405 , year=.

PLUME: Latent Reasoning Based Universal Multimodal Embedding arXiv preprint arXiv:2511.00405 , year=

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.971113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86d43a64-3273-4782-aa5e-0deb8234e33c · outbound

This paper cites Nv- embed: Improved techniques for training llms as generalist embedding models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Nv- embed: Improved techniques for training llms as generalist embedding models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.972017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b17b24d4-f844-4c54-b861-5183de808c80 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

PLUME: Latent Reasoning Based Universal Multimodal Embedding LLaVA-OneVision: Easy Visual Task Transfer

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:19.998828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40444dc4-293a-46fe-8067-b6bc3e284249 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.967900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bdbc48e4-9afb-4b04-b7c2-854017371b57 · outbound

This paper cites MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs.

PLUME: Latent Reasoning Based Universal Multimodal Embedding MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.976365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d54ffc9-2123-44d5-bd4c-c384c449e324 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.155843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aa58d8bf-3d54-4b85-8766-aeaebbb968cf · outbound

This paper cites Lamra: Large multimodal model as your advanced retrieval assistant.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Lamra: Large multimodal model as your advanced retrieval assistant

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.170958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bd35991-65a9-421c-a6b2-b0fc6ee7ec3b · outbound

This paper cites VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents.

PLUME: Latent Reasoning Based Universal Multimodal Embedding VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:10:15.258990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b32160fd-d626-4731-9e46-3cca74647fe2 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Representation Learning with Contrastive Predictive Coding

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.026513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40a95346-5555-4576-ad42-fa5c1ddb6c42 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.031713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9afa19c-b5b2-4b05-b7ee-471e604c67ac · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Learning transferable visual models from natural language supervi- sion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.164788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6111300e-d583-4b53-a2c6-2b00dc9f8001 · outbound

This paper cites Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.167944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd332ca2-3c3e-45b2-a30e-08d422e79fef · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

PLUME: Latent Reasoning Based Universal Multimodal Embedding CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:14:57.978007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77212cd5-ae69-4cb0-9a01-6a7d2a844b71 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.159072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a9fb2b3-d68f-4582-9f6e-32c418029bf0 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.003704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86b69184-0572-4f49-8617-1c6017aae286 · outbound

This paper cites Improving text embeddings with large language models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Improving text embeddings with large language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.998957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d867f4c-e269-4853-acf3-3280717a0efa · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:20.010512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f6a6085-fbab-4bbb-9f40-a1a8d5d6bdc1 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:53:19.973440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 452ed2c9-4662-4d7f-8a6d-01b28701feac · outbound

This paper cites Uniir: Train- ing and benchmarking universal multimodal information re- trievers.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Uniir: Train- ing and benchmarking universal multimodal information re- trievers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.979084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b94c3f6-c6a6-4154-8353-24563eb8f58e · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.021582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 985941c3-3489-431a-a2b2-aff6f97d0890 · outbound

This paper cites C-pack: Packed resources for general chinese embeddings.

PLUME: Latent Reasoning Based Universal Multimodal Embedding C-pack: Packed resources for general chinese embeddings

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.006690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 138efd70-7aac-470f-a770-a1d132aa6eb0 · outbound

This paper cites Llava-cot: Let vision language models reason step-by-step.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Llava-cot: Let vision language models reason step-by-step

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.037610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25e8e9b0-f326-4f07-9957-616063eba2f1 · outbound

This paper cites Recall: Recalibrating capability degradation for mllm-based composed image retrieval.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Recall: Recalibrating capability degradation for mllm-based composed image retrieval

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.036789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c688f3f5-316d-4691-92e5-8e7f4ffb708e · outbound

This paper cites Recall: Recalibrating capability degradation for mllm-based composed image retrieval.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Recall: Recalibrating capability degradation for mllm-based composed image retrieval

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.014233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d2a5160-8c06-406c-8ca9-295e6b704ad0 · outbound

This paper cites CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.

PLUME: Latent Reasoning Based Universal Multimodal Embedding CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.015992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1cca916c-89f8-47da-92af-6b7aeef10780 · outbound

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

PLUME: Latent Reasoning Based Universal Multimodal Embedding VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:37:25.955223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8e0c4f7-d7c0-46f7-acb2-5b266bafbf33 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:45:05.263509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d64212e5-1af5-4a74-9017-ff7f63611ef9 · outbound

This paper cites Sigmoid loss for language image pre-training.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Sigmoid loss for language image pre-training

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.982538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b799b7ee-9621-48ef-802b-1c468197ca96 · outbound

This paper cites MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.

PLUME: Latent Reasoning Based Universal Multimodal Embedding MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:19.981605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9a6f59f-192a-4e7b-a711-4202275ec05e · outbound

This paper cites Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural In- formation Processing Systems, 37:333–356.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural In- formation Processing Systems, 37:333–356

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:27.033448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 05cbe39e-e60d-454f-a13c-600656786bb5 · outbound

This paper cites GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

PLUME: Latent Reasoning Based Universal Multimodal Embedding GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:35:22.964550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b788fd08-06a3-4eb5-8cf1-a9e2bca17276 · outbound

This paper cites Bridging modalities: Improving universal mul- timodal retrieval by multimodal large language models.

PLUME: Latent Reasoning Based Universal Multimodal Embedding Bridging modalities: Improving universal mul- timodal retrieval by multimodal large language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:08:26.986324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b2daacc-64ab-4298-8848-2183d22a76d8 · outbound

This paper cites MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.

PLUME: Latent Reasoning Based Universal Multimodal Embedding MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:53:20.023927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e55ba35f-04fb-4fec-85c2-97846305af55 · outbound

This paper cites ARMYJUNK.

PLUME: Latent Reasoning Based Universal Multimodal Embedding ARMYJUNK

Reference 57

Resolution: malformed identifier; raw_fallback, observed 2026-05-13T23:08:27.025345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 2ebf4763-57f7-40cb-87b9-1abda9c2abb7 · inbound

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? cites this paper.

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? PLUME: Latent Reasoning Based Universal Multimodal Embedding

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-13T01:47:04.370388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc1ef913-e2cb-41a7-933c-4f1ebe1bad2f · inbound

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens cites this paper.

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens PLUME: Latent Reasoning Based Universal Multimodal Embedding

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:03:36.935342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf4d0f5b-d526-4072-afe1-b2879d7b72e1 · inbound

ReLoop-UME: Recurrent Depth with Learnable Retrieval Registers for Universal Multimodal Embedding cites this paper.

ReLoop-UME: Recurrent Depth with Learnable Retrieval Registers for Universal Multimodal Embedding PLUME: Latent Reasoning Based Universal Multimodal Embedding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:35:21.372512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.