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Paper Citation Record · LEDGER

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2508.18430.

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

pith.paper-citation-record.v1
2508.18430 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:31:34.399190Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:10:19.996629Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved27
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f67ea1e-4c20-468b-a9ec-732d5b2c0993 · outbound

This paper cites Visual Instruction Tuning.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Visual Instruction Tuning

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.195134Z digest=sha256:c68af3cfd19e950686a1e97a14ea301bc7d061db62571ff8b7f622f95635e1e7

Observation 6584dcf1-32a9-4e2d-9886-e9d277e0a25e · outbound

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

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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source=pdf_text observed=2026-08-05T16:31:34.201791Z digest=sha256:e7a4eec408ee06923172322cc651938712aa0285c10dcfbbf996c3dc30f79e43

Observation e4dc143b-df8c-4247-aaa5-0dded723f2d6 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Vision-language models for vision tasks: A survey,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.340792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.208936Z digest=sha256:9a8b6cbf018a1eaf35429b695a2db3670a6c5f6a60749a0a030b84f610bff93d

Observation 0b60dd36-81d6-4508-aeaf-f7696fd045e6 · outbound

This paper cites MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts

Reference 4

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source=pdf_text observed=2026-08-05T16:31:34.214793Z digest=sha256:9d576f299f510763bc3a7fdfed95d288f8d59b3913bcf3ba6eab3830c0d40b72

Observation d2886206-c192-4dc2-9e35-2356677b8db7 · outbound

This paper cites Towards generalist biomedical ai,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Towards generalist biomedical ai,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.323331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.220156Z digest=sha256:b2a3412aeb57bdddcaf40b7bd5fc1b63b0171a1660a919f6c6456bba4d384972

Observation f6ad24b4-a32b-475d-9fd9-22f58535583b · outbound

This paper cites Multimodal large language models: A survey,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Multimodal large language models: A survey,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.305386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.225994Z digest=sha256:939c4eef04a42a7e40c41330034ab9007b7a647c0799ca939e42acd0e29b5d20

Observation 9640cfc1-6909-4c00-92b7-f091132d25c1 · outbound

This paper cites Enhancing medical image report generation through standard language models: Leveraging the power of llms in healthcare,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Enhancing medical image report generation through standard language models: Leveraging the power of llms in healthcare,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.231444Z digest=sha256:0b2ad7fbf9656d72f5b9b4aae92dedc773ebd92e12a876a85fb0dee9603974ac

Observation 1fb7cf42-f142-41c5-8535-1ea3030a13f5 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Overcoming catastrophic forgetting in neural networks,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.236798Z digest=sha256:fe3d446a0629b7fb314c0bc1fda002c9185db5ddcdbf78929cabfcb4cbc5b2af

Observation e1e8fea1-d0a9-496a-acef-5ab744e253d0 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.242346Z digest=sha256:4207fcc65aa6c6006ff9feb969c96c4c108b8ad8e270f8bc82141cc71ed49565

Observation 60e7324e-ab4e-4477-bf25-f8d1e60bdbbd · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering A Simple and Effective Pruning Approach for Large Language Models

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.247456Z digest=sha256:71ae5f39a9861506af00b219761f491f579b2c37d9ebf4ef7fae6388da90d11e

Observation 2b01fd41-63b5-46fd-b96a-276f6c95ef06 · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.252943Z digest=sha256:fccf6d75fa73b60e45b63d313e7c0554008deea91674a154950a12533ae204fb

Observation d6a5c57c-b94c-475a-abc3-b32aee14d4f1 · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Gptq: Accurate post-training quantization for generative pre-trained transformers,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.258176Z digest=sha256:9ec6420d215ba27c6652cdfe2b6d16c86eb97d4f23d81466b9d20cb2bdd90f43

Observation 7bad31c2-5831-4d3b-b42c-421f4e331209 · outbound

This paper cites A Comprehensive Study on Quantization Techniques for Large Language Models.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering A Comprehensive Study on Quantization Techniques for Large Language Models

Reference 13

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source=pdf_text observed=2026-08-05T16:31:34.270028Z digest=sha256:398259b9d2db63635c94b9ee2d3d07f170d67b23546804805427f4791209ca59

Observation 2d89c714-235a-472f-8097-d0b50141a792 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.276075Z digest=sha256:8417aa1b94b176e9c23653f989c712ce51c7294026e1fa570679ace3efdca64d

Observation a3397e30-f41e-4544-9caa-173eede7070d · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Unifying large language models and knowledge graphs: A roadmap,

Reference 15

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malformed identifier
no resolver link, observed 2026-08-05T16:31:34.282086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.282086Z digest=sha256:d0459b78e64ca19db0921b64d5b1d971a0f15ffb1ad6bc53f1c2511d79df6143

Observation 2b3d39fd-3d96-4226-8ea2-92e8fdb29e02 · outbound

This paper cites Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Reference 16

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verified exact
local_arxiv, observed 2026-08-05T16:31:34.863751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.287151Z digest=sha256:00e612516fd0eb0eb4fea167fe6f8f9be802d1d68a199fb22b7df3cc39d87066

Observation b141417b-85b8-41da-a750-de80ba266d1b · outbound

This paper cites Dermatology resource,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Dermatology resource,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.252857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.294317Z digest=sha256:f589ff5b22f0a2d53c9dbf19f083210613bbe5fd5f3747044c5bb9fd44774628

Observation 139774f5-f162-4308-ada5-1721be9bd317 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Learning Transferable Visual Models From Natural Language Supervision

Reference 18

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source=pdf_text observed=2026-08-05T16:31:34.298939Z digest=sha256:95eb4230d6729c4dfef253dfa908dc00acede9ffcedf3ea59ef4be51b8a20aa6

Observation 538b1c44-f7cf-4274-be23-54fd06727e18 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.234981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.303817Z digest=sha256:c78af6564e1a3f3bfbffef293a5817a802c050a9f73e68be42bc3eaa11e32058

Observation 62000d89-3e07-49fe-b6c3-3f2463cda32e · outbound

This paper cites Deep Residual Learning for Image Recognition.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Deep Residual Learning for Image Recognition

Reference 20

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Observation 329bba7f-b2f8-4b24-a82e-091d369fdc9b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 21

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source=pdf_text observed=2026-08-05T16:31:34.320053Z digest=sha256:06b0b652d161d732af7a368b436689a6f844badca4e2d8467029a583ad97baf8

Observation 2e413a00-2370-457d-9228-1fcd5c919aed · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Dermatologist-level classification of skin cancer with deep neural networks,

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 8b4c82ad-6bdc-4030-bef1-6c4d61f15289 · outbound

This paper cites A survey on model compression and accel- eration for pretrained language models,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering A survey on model compression and accel- eration for pretrained language models,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.207092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.330478Z digest=sha256:cc39b162f3a7d3bd027b8ce01ca470d445bcfe0d45782fae6044053a7f38b2f8

Observation 24041e78-9eb1-43c6-8dd5-78e1f0903ec3 · outbound

This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 24

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source=pdf_text observed=2026-08-05T16:31:34.335602Z digest=sha256:a7411989b5fc1fd0dc28943ba2ae33970135d2d5e7cd270f5e16921b27c3b739

Observation f11b8b16-4588-4569-a3ef-0f0b91528736 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 25

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source=pdf_text observed=2026-08-05T16:31:34.340742Z digest=sha256:a25fd72d7b5e9acf5e227633a4c7db93ae29c7494942aecbf9369e7873d110d8

Observation 172caef8-3faa-4bfe-a546-897f75e66c27 · outbound

This paper cites MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.346498Z digest=sha256:180c3dd9572c917063f6d22f71f10dcaff9961a3ac34c04745451106262ad1c9

Observation 89b20ed2-040a-4944-8b74-ae96ead3371a · outbound

This paper cites KG-RAG: Bridging the Gap Between Knowledge and Creativity.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering KG-RAG: Bridging the Gap Between Knowledge and Creativity

Reference 27

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source=pdf_text observed=2026-08-05T16:31:34.351981Z digest=sha256:1431948e931bb6853c6b57ace03644a4f08c7928d031e997f060b83657667fc4

Observation 0fdd1051-b9ab-4424-be3a-654e28fd3d20 · outbound

This paper cites Gregg and D.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Gregg and D

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T16:31:35.179947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 955c74c9-c42f-4b0f-b507-dc336e06c93b · outbound

This paper cites Small-derma-vqa,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Small-derma-vqa,

Reference 29

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verified exact
raw_fallback, observed 2026-08-05T16:31:34.690147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:31:34.362568Z digest=sha256:60ac315526fc291e93abd49bdc1c558db07cf880ed03cc5f7b05a46c96a418c8

Observation 953f5270-d6c9-4512-8711-90c4b197f902 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering DINOv2: Learning Robust Visual Features without Supervision

Reference 30

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Unavailable: canonical work link unavailable.

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Observation 9fbfe407-45bd-4655-88f0-d4b1e5dfbf0a · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Llm-pruner: On the structural pruning of large language models,

Reference 31

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source=pdf_text observed=2026-08-05T16:31:34.372375Z digest=sha256:85eaf0ba5b3305fa6ab9a1459b1750be3c58bef60122439f5b04b218d571c107

Observation db076370-4a8e-457b-a52f-0c14aa836414 · outbound

This paper cites Kggen: Extracting knowledge graphs from plain text with language models,.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Kggen: Extracting knowledge graphs from plain text with language models,

Reference 32

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Unavailable: canonical work link unavailable.

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Observation b25e8794-6edc-4c1b-9c26-671425bf873d · outbound

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

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering Gemini: A Family of Highly Capable Multimodal Models

Reference 33

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source=pdf_text observed=2026-08-05T16:31:34.383783Z digest=sha256:da04ccfd40077e730f76a08e3698651ab205149e855ad39d1da0bdb7153cab44

Observation ef15e2ae-477e-43c9-a6c3-73cbbd07fd07 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.388561Z digest=sha256:e6c9e4b9da277017183e7d11d1b412f0ad2b9db4e29621ef75b986729f9060b1

Observation 280ecb61-a271-425e-a450-55d0eb7bdb44 · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T16:31:34.394103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.394103Z digest=sha256:a7defd365cbb856269e458acc0b4c20caa8050f540bbe1811b1cf2ba97520f40

Observation 1fab7d36-3d4e-449a-a3e9-87f25d62c6df · outbound

This paper cites A Survey on LLM-as-a-Judge.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering A Survey on LLM-as-a-Judge

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T16:31:34.399190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.399190Z digest=sha256:6645c0eba5701ac566bbbfb7022ca044868052869a15f151bbd547ac607552d4

Observation 1d3e5fda-c22c-4f56-903e-f830935e267a · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T16:31:34.309538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.309538Z digest=sha256:6588e3bfa6acce2bfb37f71f8fd990696d7610bfdfeb0cad01e260e5d17dca8f

Observation 27e8b102-b764-4bd1-8ed1-2d59704dd82e · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T16:31:34.263973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:34.263973Z digest=sha256:1a3c345e2b2921bb97eb45f28fc597264f31b5aebdbd81d2692c28e6d282ba7f

Pith citing papers

Observation 476139ac-6c04-480f-be32-8e0ddd2a7e18 · inbound

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy cites this paper.

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-13T05:10:19.996629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:10:19.996629Z digest=sha256:d6d26ca3434f1b056beda8740077ea6de1b9584463bf67fe978c911407fcb83c