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Paper Citation Record · LEDGER

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2505.03654.

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

pith.paper-citation-record.v1
2505.03654 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:52:40.939692Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:58.993527Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:32:59.674227Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved27
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a96ea49-222e-453f-aba3-10f287fb557c · outbound

This paper cites Qwen Technical Report.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Qwen Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.769618Z digest=sha256:6f99db9e51d13cd646bf09c9b9efa4e4c91fec8bf98502e245e17ecc222f3741

Observation 8174b8e9-e694-495a-99d9-40e1cac0fc7c · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.774651Z digest=sha256:91d9e91091281e27d7f2d5ce72f1fc016ad566987c8f27a15180690154364e30

Observation 23105bea-b7d8-4c22-919b-54417c62941f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Gemini: A Family of Highly Capable Multimodal Models

Reference 3

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source=pdf_text observed=2026-08-15T23:52:40.778865Z digest=sha256:a97ec5ceefb523c47fac930c7058f7f9b5d853296ef1c03e54d9f59e23248868

Observation 2ef19879-9ab9-4ae1-8003-3d5d1a6f28e8 · outbound

This paper cites Minigpt-4: Enhanc- ing vision-language understanding with advanced large language models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Minigpt-4: Enhanc- ing vision-language understanding with advanced large language models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.782613Z digest=sha256:ad8f01006a2629113532bdb1e956d1946e544283bb538371141fd3169bef1d11

Observation 65c5f750-50e3-49a9-a2b2-1043989eb8e2 · outbound

This paper cites Yo'llava: Your personalized language and vision assistant.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Yo'llava: Your personalized language and vision assistant

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.466783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.786454Z digest=sha256:e7d2f38cfc57d574a983ff896c398b2cf9dd4c23af5ea6100271224b58df8256

Observation 4854716d-9d40-4c11-ae71-9630be705ec8 · outbound

This paper cites Personalized Multimodal Large Language Models: A Survey.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Personalized Multimodal Large Language Models: A Survey

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.790647Z digest=sha256:4d52f3e85ef46653ca48ba7967d8856991599342b86c545cf68cde68ddca7c5a

Observation bed49222-304f-4da7-819e-915a8261bdb6 · outbound

This paper cites Personalized Large Vision-Language Models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Personalized Large Vision-Language Models

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.795444Z digest=sha256:8541a151945a2e2669c33262e74d9f38e47accdbd7b30fd0375c349eef0d7dd1

Observation cd67abcd-61bb-4b99-9386-18c597ec08dc · outbound

This paper cites RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.799830Z digest=sha256:5e4fafc16c7bd6646d5d2ac86a569e2ad5a1cd050fd4b24e923928ae82a8302b

Observation a23b295b-4717-4c7c-af6f-62c7c0f60b9e · outbound

This paper cites Myvlm: Personalizing vlms for user-specific queries.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Myvlm: Personalizing vlms for user-specific queries

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.452948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.804050Z digest=sha256:b787ab22a0a740ecb0bb5276af169069bd2b00c92b451c7073b895072701a526

Observation 096e2c65-32d2-440c-857f-422329e5fe04 · outbound

This paper cites Structure-mapping: A theoretical framework for analogy.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Structure-mapping: A theoretical framework for analogy

Reference 10

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raw_fallback, observed 2026-08-15T23:52:41.438190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.808821Z digest=sha256:48e809e817c132efe03ea7645eda0938c26dc2af4400299c8b6f75cba0fb38e1

Observation 6aecfbda-805e-4c67-8b6b-bd4af15ed7d0 · outbound

This paper cites Aminoff, Shira Baror, Eric W.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Aminoff, Shira Baror, Eric W

Reference 11

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raw_fallback, observed 2026-08-15T23:52:41.426145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.812840Z digest=sha256:1b2b8712b10b869dee2dd27b39637b79074d80aa2ded76855695dd2667963a9d

Observation 11b73a60-da5b-40ee-894f-115300b94ff0 · outbound

This paper cites Llava-sg: Leveraging scene graphs as visual semantic expression in vision-language models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Llava-sg: Leveraging scene graphs as visual semantic expression in vision-language models

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.412576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.816287Z digest=sha256:6c50a7c3187ecb073c1be81946fd5cbe768d23119189ff3cc177c4e0fa26de81

Observation 1d448a91-472a-4548-bb78-8a878dfa1a52 · outbound

This paper cites Llava needs more knowledge: Retrieval augmented natural language generation with knowledge graph for explaining thoracic pathologies.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Llava needs more knowledge: Retrieval augmented natural language generation with knowledge graph for explaining thoracic pathologies

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.819661Z digest=sha256:f43f32b8d4e92b143fb30c48edfdf94ed9e01edae7b7e8c9f24ec263f8a98d3d

Observation 27bddb3b-d04e-4eed-b61e-76614625bb64 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Chain-of-thought prompting elicits reasoning in large language models

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.823821Z digest=sha256:e86fade61bef2df3a70822fb0df40e104b0966a487dafee4604ae66f13b74def

Observation 488d873d-c57d-4bdc-a38d-a9482a5abac0 · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 15

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source=pdf_text observed=2026-08-15T23:52:40.827498Z digest=sha256:dd93ba32f530e42c0e72d38964f2d81950f2875ea2445555891edbb39ff942a9

Observation 3c51a0e1-05c3-4db9-b90d-cf7fc0325c34 · outbound

This paper cites Demystifying long chain-of-thought reasoning in LLMs.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Demystifying long chain-of-thought reasoning in LLMs

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.381035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.831829Z digest=sha256:e043402bd9f53158403fbf02ee1fd50be73401995ce6f8facedc4aaff8aacd09

Observation 25d6e065-f0f2-4139-9bbd-463547845211 · outbound

This paper cites GPT-4 Technical Report.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant GPT-4 Technical Report

Reference 17

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source=pdf_text observed=2026-08-15T23:52:40.835024Z digest=sha256:348022eef5cfa2c4ef352180622a4e24c755c552bd679437bfcc16fbf4f92d7d

Observation f18139b5-954f-4f82-8936-28771ae9e06f · outbound

This paper cites Towards visual-prompt temporal answer ground- ing in instructional video.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Towards visual-prompt temporal answer ground- ing in instructional video

Reference 18

Resolution
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raw_fallback, observed 2026-08-15T23:52:41.368644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.839061Z digest=sha256:2b18bb23e54b18e22719b9637c07b964889547df88cb82dcb2aaa38dba4bbdce

Observation a6363fa3-b5f0-46d8-b888-697b3be5951c · outbound

This paper cites Large language models with holistically thought could be better doctors.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Large language models with holistically thought could be better doctors

Reference 19

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raw_fallback, observed 2026-08-15T23:52:41.356863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.842403Z digest=sha256:a2e4d88b8540faf3e2574061575b7cab8caff7fc73a48726460d94d174c73107

Observation bd39bb44-3dc9-4395-a4f2-392292a263ea · outbound

This paper cites DeepSeek-V3 Technical Report.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant DeepSeek-V3 Technical Report

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.845802Z digest=sha256:486eb770cf49e9ad7ea55663d9bdcd6c2725f4c5efe8c0a43c01b814a4797e2e

Observation 0ccdc1ee-1c40-4215-8bc0-b31b9f4a3ff6 · outbound

This paper cites Gpt-4 technical report, 2024.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Gpt-4 technical report, 2024

Reference 21

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source=pdf_text observed=2026-08-15T23:52:40.850551Z digest=sha256:260cf0710188c90bbf67dd85847a94d141166c00cbc8f8d945e8c2c40b55aa08

Observation e14c06e2-8e81-4baf-bbda-1e12b3b3b2f1 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 22

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source=pdf_text observed=2026-08-15T23:52:40.855396Z digest=sha256:8c8f6b778f76f9fb411dc81615bfc6e0286b45a7a0270d099277f8f848cdac20

Observation 2f478839-f16a-4511-af59-109ce0880436 · outbound

This paper cites Hello again! llm-powered personalized agent for long-term dialogue.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Hello again! llm-powered personalized agent for long-term dialogue

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.859750Z digest=sha256:6da69d3d30af90bb98252cbf06e8a0d2241cec742faf20eb55980d8f3682e3d6

Observation d0f21d51-02f2-44fe-b745-6dd86f1ae1d7 · outbound

This paper cites Training- free personalization via retrieval and reasoning on fingerprints.arXiv preprint arXiv:2503.18623, 2025.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Training- free personalization via retrieval and reasoning on fingerprints.arXiv preprint arXiv:2503.18623, 2025

Reference 24

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raw_fallback, observed 2026-08-15T23:52:41.113060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.863740Z digest=sha256:8bf4ebc0b88952f6c0abbe21c00e0eb94c231486bb5444c28972ae4f0f23f333

Observation 08ff4971-add3-4cd1-9faf-3cbc1f66ca21 · outbound

This paper cites Personalization Toolkit: Training Free Personalization of Large Vision Language Models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Personalization Toolkit: Training Free Personalization of Large Vision Language Models

Reference 25

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source=pdf_text observed=2026-08-15T23:52:40.867191Z digest=sha256:5c7cbefc580ff1fa9ddfd50a464553e382a2ecda413d36c0f76d8db4cb7de6dd

Observation eb5cf4f2-006d-40d9-9a75-b96a6541f965 · outbound

This paper cites Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs

Reference 26

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source=pdf_text observed=2026-08-15T23:52:40.871705Z digest=sha256:5bc1404b0d13a086162426862458dc70a7f0cf91d835e3de75aafc9e7148e223

Observation ab9cec80-6e72-46ad-abb3-877a6630473d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 27

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source=pdf_text observed=2026-08-15T23:52:40.875643Z digest=sha256:7c112f458dd6d7dae56b52d72d774c633e82d729a7bd18ab2403dbd071540750

Observation af2204ec-fb1d-467f-88c8-a231dcced142 · outbound

This paper cites You only look once: Unified, real-time object detection.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant You only look once: Unified, real-time object detection

Reference 28

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no resolver link, observed 2026-08-15T23:52:40.879812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.879812Z digest=sha256:3da738f1b6a12e885b9050a794efbeea617069286ad06ee8b22863b165d11185

Observation 6a51152c-fdf1-4a9c-9de9-dbf79b8536c6 · outbound

This paper cites GPT-4o System Card.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant GPT-4o System Card

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.883481Z digest=sha256:c1b911c3d8d16acae67f1d135588fa22c835ac0124c4ab8e43d7782bb4e6d096

Observation bafbefe2-e088-45b6-b112-0a4a45cb4377 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Lora: Low-rank adaptation of large language models

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.888764Z digest=sha256:c45ef6134f160e0dcd055f2204338745e329ea069d2a7e2f882b4fdf2be445dd

Observation 3738fffc-9714-4a57-afce-092c14f681db · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Adam: A Method for Stochastic Optimization

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.892950Z digest=sha256:f3cf15d8b6356dbda8b1cf0d75e26e1370f54b386497a33ac6f48a1818311ba8

Observation eb41a424-7ddc-4cbe-901d-a9c4e118c38b · outbound

This paper cites Llava-v1.6-vicuna-7b.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Llava-v1.6-vicuna-7b

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.310389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.897534Z digest=sha256:db198844a3ef2133de6769919390725e12d1645abaeaa5b03a7c9d78d652c364

Observation 79109081-9a91-49f6-9546-5d5516a5249f · outbound

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

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 33

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no resolver link, observed 2026-08-15T23:52:40.901682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.901682Z digest=sha256:3c5a65103c10517c8f9f7735802e9802372ebe2f4bfda3e9b26a2f9bb69ce624

Observation 78c9234d-a63d-4c26-b2a2-5eae4f1f3413 · outbound

This paper cites Qwen2.5-vl, January 2025.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Qwen2.5-vl, January 2025

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.906231Z digest=sha256:9b2e917ee17f13a509961339f26746cdbb8f27329785a087d271d132aecf3006

Observation adf28e2c-d8c3-4f44-9072-daed12724bb3 · outbound

This paper cites Improved baselines with visual instruction tuning.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Improved baselines with visual instruction tuning

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.911305Z digest=sha256:8c7ffc68b6e5775c7703f6b60acb95e43f5f08fbe46c03a6199ec43f15618cb0

Observation 81d84fdc-55b9-4d0a-93ae-e328b74f5a5e · outbound

This paper cites Qwen2.5-vl-72b.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Qwen2.5-vl-72b

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.284411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.915761Z digest=sha256:2f3d03873832e22c25753db9e35883e7f9b73ec56e0adc69cead7cc140cd52aa

Observation 3d1faccf-52d0-4692-8bd4-cb46ff631b7f · outbound

This paper cites Long is more for alignment: A simple but tough-to-beat baseline for instruction fine-tuning.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Long is more for alignment: A simple but tough-to-beat baseline for instruction fine-tuning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:41.272249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.919875Z digest=sha256:4fce1ea882ae184cb7f0d74df3bcaa1bfed512f54f88057cf55c85ec750a40d8

Observation 85d57d9d-7960-4eb6-ae74-d9c9cf070a7d · outbound

This paper cites Multimodal chain-of-thought reasoning in language models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Multimodal chain-of-thought reasoning in language models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:52:40.923341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.923341Z digest=sha256:a4950016af1708ac0c2b366cb79d0a0bf73a441793c12686af7ffaa264836aa4

Observation 236b4415-3f29-496d-a9ab-13d0f2ab1411 · outbound

This paper cites Compositional chain-of- thought prompting for large multimodal models.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Compositional chain-of- thought prompting for large multimodal models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T23:52:40.927247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.927247Z digest=sha256:1a94fc083bb19314da931acd2cb67c8d052b4b8e3eb67f8b0a22800043dabe8e

Observation 54267626-2da5-4f77-945c-68cc84a1419d · outbound

This paper cites Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T23:52:40.931222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.931222Z digest=sha256:aaff56027497dfea95972dd8d3fd2c46a85bb9f749840dce8b0dad836e6c2eed

Observation a712fcd2-cac6-4ccb-90f3-1e27fb2499e5 · outbound

This paper cites Kam-cot: Knowledge augmented multimodal chain-of-thoughts reasoning.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Kam-cot: Knowledge augmented multimodal chain-of-thoughts reasoning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T23:52:40.935546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:40.935546Z digest=sha256:76579bc200e08a215597dbe999fded0e8c068b493b8701d556fce631014e6423

Observation fc293896-24ca-45dc-9db3-3f5cd741d9c5 · outbound

This paper cites response 1 is better.

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant response 1 is better

Reference 42

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T23:52:41.232224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:52:40.939692Z digest=sha256:8f308d3b7be782369a27703cbded46bf11e8a5bfe62dabea770b4facb6bef653

Pith citing papers

Observation 8a5c3cd4-da04-4a02-b79c-ad64a7c590e2 · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:32:59.699182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:32:58.993527Z digest=sha256:3193f138e095cd9fc52b413595b0ea8cc24bcdcc58d45704a5f5a9aed5137726