Paper Citation Record · LEDGER

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2502.00717.

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

pith.paper-citation-record.v1
2502.00717 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:02:45.221151Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:14:36.819533Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy18
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b22dc06-eb47-44c9-9f03-282b443d89b8 · outbound

This paper cites Qwen Technical Report.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.050009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343c750e-369e-41c8-9f7d-1aea43af12e6 · outbound

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

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.055692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab325d68-16af-4cea-b535-77d1c8190fff · outbound

This paper cites Y., Bhiwandiwalla, A., Tseng, S.-Y., Olson, M.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Y., Bhiwandiwalla, A., Tseng, S.-Y., Olson, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.747062Z

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 9559d8da-160f-4045-9d0a-02a68d05ef0e · outbound

This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Honeybee: Locality-enhanced projector for multimodal llm

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.067233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383ebc9f-4bf6-4de8-bc9d-85bb801cb0f0 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.723271Z

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 f88f5eed-8fc8-4fd3-bb2b-bb5685368e1b · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.708557Z

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 89cc4221-5b42-401d-86b6-b2dbb14f532e · outbound

This paper cites E., Stoica, I., and Xing, E.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction E., Stoica, I., and Xing, E

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.082246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6157353-10cd-43f9-86e8-79faf796d208 · outbound

This paper cites Vision transformers need registers.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Vision transformers need registers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.684270Z

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 5bf0cfb9-7f44-40ca-a3f1-b9f54ccac391 · outbound

This paper cites Intern LM - XC omposer2-4 KHD : A pioneering large vision-language model handling resolutions from 336 pixels to 4k HD.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Intern LM - XC omposer2-4 KHD : A pioneering large vision-language model handling resolutions from 336 pixels to 4k HD

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.670033Z

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 e372e6e3-31ba-4f6a-865b-bc629db98ea6 · outbound

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

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.095827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f08a5cf-e9aa-4df2-b351-654abf5b0a14 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.100605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cfe3cb-7e6d-4a2f-baa9-b6167e64caf6 · outbound

This paper cites A., Ma, W.-C., and Krishna, R.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction A., Ma, W.-C., and Krishna, R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.651387Z

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 4ffa2056-e84d-400b-a949-dc8d7f4c3210 · outbound

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

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Detecting and preventing hallucinations in large vision language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.109865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2aeaed-9f09-4a0f-a3b5-70f50e8d4156 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.114157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b95d8e-1ec7-475b-afcf-3c95fb442e79 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Lisa: Reasoning segmentation via large language model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.118566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349682b0-1ac4-443d-82db-dc44b05e0421 · outbound

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

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Mitigating object hallucinations in large vision-language models through visual contrastive decoding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.122378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64779bfe-e615-4e27-a556-e84bd1fa8e30 · outbound

This paper cites L., Holtzman, A., Fried, D., Liang, P., Eisner, J., Hashimoto, T.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction L., Holtzman, A., Fried, D., Liang, P., Eisner, J., Hashimoto, T

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.599498Z

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 f62d742f-848e-496e-880e-a38e7393ee98 · outbound

This paper cites X., and Wen, J.-R.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction X., and Wen, J.-R

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.584380Z

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 781cc07a-de18-4ce9-95aa-a5efcc45a1b3 · outbound

This paper cites an unresolved cited work.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.134091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5672227d-54e7-428c-8ba6-7beafcbbd65c · outbound

This paper cites an unresolved cited work.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.138911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571167a3-04f2-4dbf-9284-baab24b883aa · outbound

This paper cites an unresolved cited work.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.142715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b06fc0-2d68-42f4-b18d-11fab6096eee · outbound

This paper cites an unresolved cited work.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.146514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0252356e-de8d-423d-9efc-932b5513b6eb · outbound

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

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Paying more attention to image: A training-free method for alleviating hallucination in lvlms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.150444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b1f8ac-079d-4cb0-9e07-ee0e7ba93298 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.154459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebedfd82-17f5-42e2-aff5-020d954ec983 · outbound

This paper cites A., Burns, K., Darrell, T., and Saenko, K.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction A., Burns, K., Darrell, T., and Saenko, K

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.514090Z

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 ce2b2060-7f87-46b3-8445-9512446e5bbb · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction LLaMA: Open and Efficient Foundation Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.162801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0aff9bc-1a78-4a8b-825f-341e3ee67787 · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.167476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6329c177-7233-409f-9149-ae22f4970fcc · outbound

This paper cites Dilu: A knowledge-driven approach to autonomous driving with large language models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Dilu: A knowledge-driven approach to autonomous driving with large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.500108Z

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 369c3dfa-6660-49a0-befb-f956d42bfe32 · outbound

This paper cites Q-instruct: Improving low-level visual abilities for multi-modality foundation models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Q-instruct: Improving low-level visual abilities for multi-modality foundation models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.485571Z

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 cf895cd9-62e4-4ca5-99a7-5fabac22c513 · outbound

This paper cites and Xie, S.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction and Xie, S

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.472927Z

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 e776ef32-e83d-4066-a204-ccbd657f4f72 · outbound

This paper cites D., and Potts, C.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction D., and Potts, C

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.458914Z

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 e619e128-cb61-4748-b43d-8ae82552b336 · outbound

This paper cites Efficient streaming language models with attention sinks.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Efficient streaming language models with attention sinks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.444862Z

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 e9bbe534-fe4a-4a91-a9c7-17caf404e538 · outbound

This paper cites Multi-modal concept alignment pre-training for generative medical visual question answering.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Multi-modal concept alignment pre-training for generative medical visual question answering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.430732Z

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 af8a30b9-e676-481c-b2c3-9729c9a16f13 · outbound

This paper cites DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.199090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca925e7-d6ec-4a08-a5f2-101acc3a8cdc · outbound

This paper cites Attention prompting on image for large vision-language models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Attention prompting on image for large vision-language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.416106Z

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 682319d0-9100-471a-960d-3840f09aa90a · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.401593Z

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 6eccde3b-c143-49ff-b44d-ab87ed1cf2ea · outbound

This paper cites Llava-grounding: Grounded visual chat with large multimodal models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction Llava-grounding: Grounded visual chat with large multimodal models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:02:45.386299Z

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 c8558b2e-e214-4e40-ba7c-19c2b880d798 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.216603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc824b5-e1ea-4247-9981-92659d3c69a5 · outbound

This paper cites write newline.

MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction write newline

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:45.221151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fd86c048-156a-4a5a-8069-44b7abf78f3a · inbound

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation cites this paper.

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:14:36.819533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.