Paper Citation Record · LEDGER

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 10 inbound Pith citation observations for arXiv:2502.01419.

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

pith.paper-citation-record.v1
2502.01419 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:26:19.007163Z

measured 69 of 69 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:26:27.663250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:07.123416Z

Reference resolution

59 of 59 outbound references displayed

verified exact0
verified fuzzy10
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc454b96-53da-4674-9971-29ee93a38a47 · outbound

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

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.616973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929745e4-1eb3-46e7-926d-d7eee55e8359 · outbound

This paper cites Qwen Technical Report.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.622787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b79058-3286-4746-ba23-fa5799509d55 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Hallucination of Multimodal Large Language Models: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.749075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5655d819-507b-4aff-b2ca-1bde8bc3465c · outbound

This paper cites Understanding Information Storage and Transfer in Multi-modal Large Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Understanding Information Storage and Transfer in Multi-modal Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.754601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac0f0e0-37fd-4cc7-85ff-8b6013bf3e8d · outbound

This paper cites Y., and Furlotte, N.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Y., and Furlotte, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.279117Z

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.

Observation 768ff524-1948-4ea3-8a64-8d127762fdbc · outbound

This paper cites CLAIR: Evaluating Image Captions with Large Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models CLAIR: Evaluating Image Captions with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.764360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36792edd-90c0-4ebc-a640-d0fb42ae9d61 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.769342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ba4fad-8213-4420-bc26-8d22e767bea7 · outbound

This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.773637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc52342b-b5e1-4817-99b3-ffa0fde8affe · outbound

This paper cites Vision transformers need registers.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Vision transformers need registers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.777967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b37f1b-95ef-49bf-811f-ac77e0ac460a · outbound

This paper cites The Llama 3 Herd of Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.782254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d611715-887e-40cf-9c2c-94bfbcb03611 · outbound

This paper cites Multi-modal hallucination control by visual information grounding.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Multi-modal hallucination control by visual information grounding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.787091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a828e6d3-4d90-4496-be4d-97b563001f75 · outbound

This paper cites ImageInWords: Unlocking Hyper-Detailed Image Descriptions.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models ImageInWords: Unlocking Hyper-Detailed Image Descriptions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.791790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09708e40-51b5-41fc-ace0-ea80c40a84f1 · outbound

This paper cites Damro: Dive into the attention mechanism of lvlm to reduce object hallucination.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Damro: Dive into the attention mechanism of lvlm to reduce object hallucination

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.796443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e1978c-33b5-4dbd-9fda-f3d2f367da4f · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Detecting and preventing hallucinations in large vision language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.222254Z

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.

Observation c2292dcf-936d-46f4-8e90-083cb94d6c31 · outbound

This paper cites ChartLlama: A Multimodal LLM for Chart Understanding and Generation.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models ChartLlama: A Multimodal LLM for Chart Understanding and Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.805012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa9046c4-4bb0-40b7-b71e-7e79621c16c6 · outbound

This paper cites A multi-modal foundation model to assist people with blindness and low vision in environmental interaction.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models A multi-modal foundation model to assist people with blindness and low vision in environmental interaction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.206745Z

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.

Observation b4a7800c-c682-4ff8-806f-a28293abd7c3 · outbound

This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.814189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24ae048-8936-45a1-9ce8-d59201f9c993 · outbound

This paper cites Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.818734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a55e92d-2673-4baf-8a20-9360e35ac4d7 · outbound

This paper cites GPT-4o System Card.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models GPT-4o System Card

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.823683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d31e5fd-2734-4a17-b51e-1d22a8f52548 · outbound

This paper cites Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.828246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163df10a-8836-4206-ae1b-7df13092ee82 · outbound

This paper cites See What You Are Told: Visual Attention Sink in Large Multimodal Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models See What You Are Told: Visual Attention Sink in Large Multimodal Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.833482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da64ded-5870-471f-85d3-d2c441a3b1fe · outbound

This paper cites Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.838137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4984a3af-918b-41e9-a7cf-d6276e863dae · outbound

This paper cites Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.843059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703cbab1-369b-4076-beb2-c3100d8d8972 · outbound

This paper cites Mitigating object hallucinations in large vision-language models through visual contrastive decoding.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Mitigating object hallucinations in large vision-language models through visual contrastive decoding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.847626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db63981-1b8b-49ee-8a9a-716399238624 · outbound

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

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.852478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830131d7-cf91-473e-a02c-34758493ff7b · outbound

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

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.858826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac09cf9-c142-4a9a-a90f-443ce8d0678d · outbound

This paper cites Cross-Modal Attention Calibration for LVLM Hallucination Mitigation.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Cross-Modal Attention Calibration for LVLM Hallucination Mitigation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.863554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7444099-b997-455c-bbf0-93ca8acba103 · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Inference-time intervention: Eliciting truthful answers from a language model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.146464Z

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.

Observation 31722197-d145-45df-8b98-1cbe9753e336 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.873607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c2733b-45a4-4007-a569-74f0c70ab65d · outbound

This paper cites Vila: On pre-training for visual language models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Vila: On pre-training for visual language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.878445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b918d1fc-8e51-486a-9e60-da4b57d37268 · outbound

This paper cites an unresolved cited work.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.882657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d22130-cf54-47ba-8e94-2817bdad97c7 · outbound

This paper cites an unresolved cited work.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.886450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759121a0-e4b1-4609-8e3f-c84a130b11d5 · outbound

This paper cites an unresolved cited work.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.890273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76229f8-5a87-49f7-8822-70c208e58f1b · outbound

This paper cites an unresolved cited work.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.894434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8212c0e5-0e29-41b6-bd50-b7fec29fcac1 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models A Survey on Hallucination in Large Vision-Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.898320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b20465f-2f18-4cee-9756-0fc0f4a19943 · outbound

This paper cites Paying more attention to image: A training-free method for alleviating hallucination in lvlms.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Paying more attention to image: A training-free method for alleviating hallucination in lvlms

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.059606Z

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.

Observation 3a066575-8af0-4f62-a543-226beb93ca90 · outbound

This paper cites NVILA: Efficient Frontier Visual Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models NVILA: Efficient Frontier Visual Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.906231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fee5ee-15ef-43a5-a228-e0ff08d8719b · outbound

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

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Compositional chain of thought prompting for large multimodal models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.039403Z

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.

Observation e474e85a-abd5-412c-8a32-68f7b29ab44c · outbound

This paper cites Docci: Descriptions of connected and contrasting images.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Docci: Descriptions of connected and contrasting images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:20.023284Z

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.

Observation b9cedbf7-9d93-4f6f-931a-54537ea03e37 · outbound

This paper cites A., Shalaby, M.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models A., Shalaby, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:19.998650Z

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.

Observation f15fb0b3-9fd9-49a0-b3d1-33912980296a · outbound

This paper cites Instruction Tuning with GPT-4.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Instruction Tuning with GPT-4

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.923315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12fc426-50c4-4c63-bda3-5e8f53725a1c · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models SAM 2: Segment Anything in Images and Videos

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.928214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a68c285a-3519-4933-8a84-461668832f04 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks, 2024.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Grounded sam: Assembling open-world models for diverse visual tasks, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.932776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562cea6c-bcdf-4aca-8b3d-66c29f6dce0f · outbound

This paper cites Object Hallucination in Image Captioning.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Object Hallucination in Image Captioning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.937139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c47705-ddd7-4769-9df1-31e11b0dfdc4 · outbound

This paper cites Wasserstein distance guided representation learning for domain adaptation.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Wasserstein distance guided representation learning for domain adaptation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.941824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c426fc89-9ac4-4a64-920b-6b22da6e79ee · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.946105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bd7613-9db6-43af-a8b4-4ef9388fed1b · outbound

This paper cites Calculation of the wasserstein distance between probability distributions on the line.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Calculation of the wasserstein distance between probability distributions on the line

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:19.952507Z

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.

Observation 4572e567-32f1-4456-972c-1433bbfa4185 · outbound

This paper cites Attention is all you need.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Attention is all you need

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.955068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d85cb7-4d73-4e51-bdfd-5863dc4c2aa4 · outbound

This paper cites Efficient Large Language Models: A Survey.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Efficient Large Language Models: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.959612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1133279-1091-4a56-b01d-5ffc383e9e32 · outbound

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

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.964914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03d01345-741e-4ae5-9a86-9a68d8519573 · outbound

This paper cites Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.969743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd7ffc4-6e19-4861-9f2e-dfd7aee0f512 · outbound

This paper cites Mitigating Object Hallucination via Concentric Causal Attention.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Mitigating Object Hallucination via Concentric Causal Attention

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.974611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a03e7f78-8efd-483f-b46f-3dc9e7866ee4 · outbound

This paper cites Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.979301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253cf50f-d1b4-4129-a141-da335b064f5e · outbound

This paper cites MLLM s know where to look: Training-free perception of small visual details with multimodal LLM s.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models MLLM s know where to look: Training-free perception of small visual details with multimodal LLM s

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:26:19.926146Z

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.

Observation ec6a6d8e-3533-4188-af1d-8de9b73f68c0 · outbound

This paper cites Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.988905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bbe3254-050b-4a0d-8abe-bd0229721ed8 · outbound

This paper cites Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.993526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38059a1-b5b1-42dd-a0a5-60afd10374e5 · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.998158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e5d5f6-d04e-408f-8854-9b108b5ce77f · outbound

This paper cites IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:19.003177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c70211-9980-4c13-adc6-20dfedbd2f98 · outbound

This paper cites write newline.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models write newline

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:19.007163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 92c03982-9592-4fa0-8566-8fba264fa55d · inbound

Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage cites this paper.

Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:26:27.663250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341e1f61-fa3e-416f-970b-95f992795572 · inbound

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework cites this paper.

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:32:36.355166Z

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.

Observation 25c8c43b-135f-4629-87e9-c85888966d5d · inbound

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards cites this paper.

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:22.538353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb9597e-fe8a-42ce-abaf-2b0832b018fb · inbound

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models cites this paper.

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.600673Z

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.

Observation dd292eed-8c43-4279-927b-c44726795d69 · inbound

TraversalBench: Challenging Paths to Follow for Vision Language Models cites this paper.

TraversalBench: Challenging Paths to Follow for Vision Language Models Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:36:02.729236Z

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.

Observation 1e295fe0-14a8-46f4-81ee-d81be756772d · inbound

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval cites this paper.

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:13.633902Z

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.

Observation 406b86ce-0591-4441-967b-0ab2d5884f90 · inbound

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:34:01.851487Z

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.

Observation a2a9f9a6-797d-441c-a065-0f67309b9ebf · inbound

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation cites this paper.

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:29.650511Z

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.

Observation a95a305f-3762-4453-8a21-7134a1e655c8 · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:07.125342Z

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.

Observation 6272d759-cbc3-4095-bf0c-48fdcb8124ff · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:39.546947Z

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.