Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:48.069465Z
Paper Citation Record · LEDGER
Towards General Continuous Memory for Vision-Language Models
As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 7 inbound Pith citation observations for arXiv:2505.17670.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:06:09.180245Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T12:46:14.734852Z
Reference resolution
59 of 59 outbound references displayed
- verified exact2
- verified fuzzy14
- unresolved43
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b3ca604c-c72c-4282-8495-ee246efcc922 · outbound
This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.
Towards General Continuous Memory for Vision-Language Models Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:41.872722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 278f4724-6492-4490-b066-f9d925d37e1b · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Towards General Continuous Memory for Vision-Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:41.988564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7dab02d-da0b-4b10-b0cc-2a045714eae9 · outbound
This paper cites Language models show human-like content effects on reasoning tasks.
Towards General Continuous Memory for Vision-Language Models Language models show human-like content effects on reasoning tasks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.111101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9182548-547a-48f2-9993-f7c7ca9a5b69 · outbound
This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.
Towards General Continuous Memory for Vision-Language Models Large Language Models for Mathematical Reasoning: Progresses and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.184846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c45a2d7-0451-47f5-9157-735f62d6c4ca · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Towards General Continuous Memory for Vision-Language Models Chain-of-thought prompting elicits reasoning in large language models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.337052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76db0541-0b53-45f3-b104-aa73d6a6cdeb · outbound
This paper cites A Survey on Large Language Models for Code Generation.
Towards General Continuous Memory for Vision-Language Models A Survey on Large Language Models for Code Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.431189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19e41b4e-40f0-450f-bcd8-869d35eab58b · outbound
This paper cites Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?.
Towards General Continuous Memory for Vision-Language Models Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.517303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9360e58-4bc3-4631-9051-5391a6c118bc · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.
Towards General Continuous Memory for Vision-Language Models Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:52.115639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a68b3edb-9eba-4b8d-ae60-3c7f152e9ada · outbound
This paper cites Augmenting Language Models with Long-Term Memory.
Towards General Continuous Memory for Vision-Language Models Augmenting Language Models with Long-Term Memory
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.716548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 578c124b-2444-4e26-9170-fd8bad3a10bd · outbound
This paper cites Realm: Retrieval-augmented language model pre-training.
Towards General Continuous Memory for Vision-Language Models Realm: Retrieval-augmented language model pre-training
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:51.943219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc929dfb-907b-4d47-b768-f72481c90c48 · outbound
This paper cites Qwen2.5-VL Technical Report.
Towards General Continuous Memory for Vision-Language Models Qwen2.5-VL Technical Report
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.912983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1bfa9a7-30c5-4c65-87c5-1b36405c4fb8 · outbound
This paper cites VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents.
Towards General Continuous Memory for Vision-Language Models VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:42.990513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe30ac93-9f60-40c0-869a-46dda89423ae · outbound
This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.
Towards General Continuous Memory for Vision-Language Models An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.067006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52cb878f-a48f-48f0-a17a-ff3fde0353f9 · outbound
This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.
Towards General Continuous Memory for Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.129145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce541d28-98a3-46e5-9886-83af0d845f2f · outbound
This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread, 2021.https://transformer-circuits.pub/2021/framework/index.html.
Towards General Continuous Memory for Vision-Language Models A mathematical framework for transformer circuits.Transformer Circuits Thread, 2021.https://transformer-circuits.pub/2021/framework/index.html
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:51.738013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a3810cb5-551b-4efc-90e1-76fbca416c3e · outbound
This paper cites In-context Learning and Induction Heads.
Towards General Continuous Memory for Vision-Language Models In-context Learning and Induction Heads
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.352571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1fad45e-028b-4846-a9f7-d268c0862a81 · outbound
This paper cites Training Large Language Models to Reason in a Continuous Latent Space.
Towards General Continuous Memory for Vision-Language Models Training Large Language Models to Reason in a Continuous Latent Space
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.470015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f70f8f0-2107-458d-9953-dc94385df636 · outbound
This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.
Towards General Continuous Memory for Vision-Language Models Perceiver IO: A General Architecture for Structured Inputs & Outputs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.619890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41e3e058-dcf4-4e39-a23a-39d94734ca0d · outbound
This paper cites Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien.
Towards General Continuous Memory for Vision-Language Models Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:51.527275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ade8e379-f223-4f6c-8e2d-a94d7ea002a7 · outbound
This paper cites The trade-offs of domain adaptation for neural language models.
Towards General Continuous Memory for Vision-Language Models The trade-offs of domain adaptation for neural language models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:51.349093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55695af3-c974-40c8-8108-c350d956c877 · outbound
This paper cites Attention Is All You Need.
Towards General Continuous Memory for Vision-Language Models Attention Is All You Need
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.886123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 962c04ef-2a93-492b-8a05-7393312cf113 · outbound
This paper cites What Does BERT Look At? An Analysis of BERT's Attention.
Towards General Continuous Memory for Vision-Language Models What Does BERT Look At? An Analysis of BERT's Attention
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:43.963486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37383aeb-aba5-439d-a240-f36929e4a534 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Towards General Continuous Memory for Vision-Language Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.075042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b26f56e-ef01-4ef6-afc2-d7fe685e034b · outbound
This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
Towards General Continuous Memory for Vision-Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.189348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8efb0f53-c2e0-43c8-9e89-beba86e99e88 · outbound
This paper cites EchoSight: Advancing Visual-Language Models with Wiki Knowledge.
Towards General Continuous Memory for Vision-Language Models EchoSight: Advancing Visual-Language Models with Wiki Knowledge
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.260422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8109059b-35dd-4671-8911-22da5803b3ed · outbound
This paper cites Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering.
Towards General Continuous Memory for Vision-Language Models Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.356720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f41da4d5-2059-4b1f-bb89-b810023dae84 · outbound
This paper cites RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.
Towards General Continuous Memory for Vision-Language Models RoRA-VLM: Robust Retrieval-Augmented Vision Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.456987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed55e627-01c3-4b98-bb44-a9d824170bfd · outbound
This paper cites xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token.
Towards General Continuous Memory for Vision-Language Models xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.553768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b46d3d36-0c01-4465-ad51-30287da5651b · outbound
This paper cites KV-Distill: Nearly Lossless Learnable Context Compression for LLMs.
Towards General Continuous Memory for Vision-Language Models KV-Distill: Nearly Lossless Learnable Context Compression for LLMs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.661849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03a1e32b-abe3-466e-a411-0abe0a4039db · outbound
This paper cites VoCo-LLaMA: Towards Vision Compression with Large Language Models.
Towards General Continuous Memory for Vision-Language Models VoCo-LLaMA: Towards Vision Compression with Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.748456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eb46eb0-8e47-4268-81dc-38ff53e2fe95 · outbound
This paper cites MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.
Towards General Continuous Memory for Vision-Language Models MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.831913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ceb034a8-c31f-4dc9-a8c5-183750514798 · outbound
This paper cites M+: Extending MemoryLLM with Scalable Long-Term Memory.
Towards General Continuous Memory for Vision-Language Models M+: Extending MemoryLLM with Scalable Long-Term Memory
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:44.941755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd50865a-ef74-4eca-b4bb-25b067d1503b · outbound
This paper cites MemGPT: Towards LLMs as Operating Systems.
Towards General Continuous Memory for Vision-Language Models MemGPT: Towards LLMs as Operating Systems
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:45.067719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16a8baad-8059-40d3-af0d-6ecc6d78427f · outbound
This paper cites Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?.
Towards General Continuous Memory for Vision-Language Models Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:45.236100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c86d863a-91bf-48be-aebf-2140ac37ae56 · outbound
This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.
Towards General Continuous Memory for Vision-Language Models Ok-vqa: A visual question answering benchmark requiring external knowledge
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:45.381572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5013a54-ceaf-4073-bf67-3fb52dcb7ccc · outbound
This paper cites A-okvqa: A benchmark for visual question answering using world knowledge.
Towards General Continuous Memory for Vision-Language Models A-okvqa: A benchmark for visual question answering using world knowledge
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:51.094243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3bae3da7-054f-4a19-89dc-c3541920b6fd · outbound
This paper cites Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs.
Towards General Continuous Memory for Vision-Language Models Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:46:48.624520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 84408c59-a160-45c6-b174-057ff4613ccb · outbound
This paper cites Learning transferable visual models from natural language supervision.
Towards General Continuous Memory for Vision-Language Models Learning transferable visual models from natural language supervision
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:45.818280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a40a3f2-b76e-4de8-841e-312eea322af1 · outbound
This paper cites Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning.
Towards General Continuous Memory for Vision-Language Models Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:50.906780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5e49f585-c4bc-4e47-b17c-275a90d4551a · outbound
This paper cites Encyclopedic vqa: Visual questions about detailed properties of fine-grained categories.
Towards General Continuous Memory for Vision-Language Models Encyclopedic vqa: Visual questions about detailed properties of fine-grained categories
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:50.748700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ea0a8ad6-fd27-4b25-a64c-1fe69f0e084d · outbound
This paper cites Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities.
Towards General Continuous Memory for Vision-Language Models Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:46.320220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53986ec4-e589-4e80-a516-5f5bbe5bfa7a · outbound
This paper cites MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
Towards General Continuous Memory for Vision-Language Models MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:46.436410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45e49340-0ac3-4d5c-b74a-89d0f684452c · outbound
This paper cites Viquae, a dataset for knowledge-based visual question answering about named entities.
Towards General Continuous Memory for Vision-Language Models Viquae, a dataset for knowledge-based visual question answering about named entities
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:50.599296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9da75c24-78c1-4c9f-a009-e9e5cef09de6 · outbound
This paper cites CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
Towards General Continuous Memory for Vision-Language Models CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:46.670649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1c4b10-3cb9-435e-a872-12f2ddef8860 · outbound
This paper cites Gpt-4o technical report, 2024.
Towards General Continuous Memory for Vision-Language Models Gpt-4o technical report, 2024
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:50.397738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c0b63b3-180b-4a61-a0f8-e443ebfa1fd4 · outbound
This paper cites Visual Instruction Tuning.
Towards General Continuous Memory for Vision-Language Models Visual Instruction Tuning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:46.835689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c17250c3-a35b-4426-8a90-8dfa58cf63ff · outbound
This paper cites Llava-next: Open large multimodal models.
Towards General Continuous Memory for Vision-Language Models Llava-next: Open large multimodal models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:50.187196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6688bed2-a55f-492c-af4f-e69bfeb2c54f · outbound
This paper cites InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Towards General Continuous Memory for Vision-Language Models InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.018889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cc38497-8a40-401c-ad73-95df2674128c · outbound
This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
Towards General Continuous Memory for Vision-Language Models mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.087644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6adb41ec-9728-4a2b-ba4a-65269eeac399 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
Towards General Continuous Memory for Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.157556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71eb6c5c-9535-4755-8397-d6678dd7535c · outbound
This paper cites Qwen2.5 Technical Report.
Towards General Continuous Memory for Vision-Language Models Qwen2.5 Technical Report
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.255694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51587dfb-240b-437c-a0b9-2ad31a711c0f · outbound
This paper cites A simple framework for contrastive learning of visual representations.
Towards General Continuous Memory for Vision-Language Models A simple framework for contrastive learning of visual representations
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.396550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 076259f0-863f-4afb-b3b4-2af3a8426ac0 · outbound
This paper cites Mm1: methods, analysis and insights from multimodal llm pre-training.
Towards General Continuous Memory for Vision-Language Models Mm1: methods, analysis and insights from multimodal llm pre-training
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.494110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3b92a26-f366-4a72-b07e-6a44d775a3ef · outbound
This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.
Towards General Continuous Memory for Vision-Language Models Ulip-2: Towards scalable multimodal pre-training for 3d understanding
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:49.929357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f310d7f9-4473-4ad9-a8d6-dedaed9b76d3 · outbound
This paper cites Improved baselines with visual instruction tuning.
Towards General Continuous Memory for Vision-Language Models Improved baselines with visual instruction tuning
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.682456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc6558bf-75bb-4a7a-86d8-ed1b32ac341d · outbound
This paper cites Learning to compress prompts with gist tokens.
Towards General Continuous Memory for Vision-Language Models Learning to compress prompts with gist tokens
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:47.790233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 458aabc8-aea5-4415-a175-1c59dd54f241 · outbound
This paper cites In-Context Former: Lightning-fast Compressing Context for Large Language Model.
Towards General Continuous Memory for Vision-Language Models In-Context Former: Lightning-fast Compressing Context for Large Language Model
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:46:48.281292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d1aa9f7-4054-450e-83c6-9d10d4a87332 · outbound
This paper cites Adapting llms for efficient context processing through soft prompt compression.
Towards General Continuous Memory for Vision-Language Models Adapting llms for efficient context processing through soft prompt compression
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:49.643233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation af99f633-c4e5-4982-91d7-ec761ca23a6e · outbound
This paper cites The probabilistic relevance framework: Bm25 and beyond.F oundations and Trends in Information Retrieval, 3(4):333–389, 2009.
Towards General Continuous Memory for Vision-Language Models The probabilistic relevance framework: Bm25 and beyond.F oundations and Trends in Information Retrieval, 3(4):333–389, 2009
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:46:49.442737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation d2222c44-7745-4fec-99f5-5a4fc3d02b47 · inbound
Recurrence Meets Transformers for Universal Multimodal Retrieval cites this paper.
Recurrence Meets Transformers for Universal Multimodal Retrieval Towards General Continuous Memory for Vision-Language Models
Reference 74
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6642783a-77c2-42f9-a7e3-0c1bf2e562c8 · inbound
Dual Latent Memory for Visual Multi-agent System cites this paper.
Dual Latent Memory for Visual Multi-agent System Towards General Continuous Memory for Vision-Language Models
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7657eba7-d3e1-4569-ae44-7480842fb4a5 · inbound
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Towards General Continuous Memory for Vision-Language Models
Reference 243
- Resolution
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- no resolver link, observed 2026-07-13T14:03:01.974171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef4b830d-e506-4531-8d95-c8ed1bab1ac1 · inbound
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning cites this paper.
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning Towards General Continuous Memory for Vision-Language Models
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T15:28:33.935057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8ea63aaf-ab62-4406-ae02-ad1908a9dbfc · 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 Towards General Continuous Memory for Vision-Language Models
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T19:17:17.729849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 641cd9fc-40c1-475b-b9c1-50db348e4452 · inbound
MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG cites this paper.
MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG Towards General Continuous Memory for Vision-Language Models
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T12:46:14.736176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8fa89f1a-d668-4203-9b84-dd6f543a8df5 · inbound
Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.
Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Towards General Continuous Memory for Vision-Language Models
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:20:56.296609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.