Pith. sign in

Paper Citation Record · LEDGER

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding

As of 6 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.06679.

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

pith.paper-citation-record.v1
2605.06679 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:25:41.549837Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact5
  • verified fuzzy41
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13d73112-c3f3-4010-aace-2c7ee87477a2 · outbound

This paper cites Mitigating object hallucinations in large vision- language models with assembly of global and local attention.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Mitigating object hallucinations in large vision- language models with assembly of global and local attention

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.156865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:4f87592d651830a809543d1eec1738c25933b91931434eb41b9e703fe9812566

Observation c61b65fb-6ee2-4e1a-b634-2600e0bfb056 · outbound

This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.143220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:5ed7a4c525c333d31fdf6657c897cbf47571837ca8d2278d9ed24fa7545ce367

Observation 8cef9147-36e2-460a-aff0-2136a6912504 · outbound

This paper cites Hallucination of multimodal large language models: A survey.arXiv e-prints, pages arXiv–2404.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Hallucination of multimodal large language models: A survey.arXiv e-prints, pages arXiv–2404

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.158570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:9648a2ae00c05124afb58360f1d26891a38f6fd3f14467c750ef302d5da928ef

Observation 486e7857-849f-4f42-babc-626ce1c1a52b · outbound

This paper cites Comment: Microarrays, empirical bayes and the two-group model.Statist.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Comment: Microarrays, empirical bayes and the two-group model.Statist

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.154706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:c65775625425706567914c7e027e8b3f9fbfdd421685fbfab5b6eafec9b965be

Observation 36031364-3d28-4cf9-9a92-b5b3cfd93752 · outbound

This paper cites Multi-object hallucination in vision language mod- els.Advances in Neural Information Processing Systems, 37:44393–44418.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Multi-object hallucination in vision language mod- els.Advances in Neural Information Processing Systems, 37:44393–44418

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.147418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:771705162ad87405b9ee785fc925a787ae36f7e624a06600315255cabe6869a4

Observation cb69d350-3339-492d-9927-4d9eddaa3b9a · outbound

This paper cites On some recent advances on high dimensional bayesian statistics.ESAIM: Proceedings and Surveys, 51:293–319.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding On some recent advances on high dimensional bayesian statistics.ESAIM: Proceedings and Surveys, 51:293–319

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.152935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:47dd57acc3ce2a866d39e51a7e9227bcfa48aa1dc6307fdbc0b4b50fc69eafc7

Observation 0b8508ec-9deb-4897-b166-6515b048b61c · outbound

This paper cites Instructblip: Towards general-purpose vision- language models with instruction tuning.Advances in neural information processing systems, 36:49250–49267.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Instructblip: Towards general-purpose vision- language models with instruction tuning.Advances in neural information processing systems, 36:49250–49267

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.151185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:d20680f9a9a256ba06b025c3613de498f85ea7c3c11d2cc76d3f08e939564659

Observation 511720ac-f315-418a-8ccf-375c47c4f5f0 · outbound

This paper cites Plug and play language models: A simple approach to controlled text generation.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Plug and play language models: A simple approach to controlled text generation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.145441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:80b1b15bacb3c3e8778bc8ce4b1efd5645c9766b34ca083f2788744d509a0c6e

Observation 03cb62ca-5535-44b6-bf40-22801f41b3a4 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.160411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:f8bb032a26c196082f3b364bae7cdb1946b4facd721ce540814d199cc5bf138c

Observation cf9d2928-196a-48b4-9f6a-a768818c6602 · outbound

This paper cites Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.081711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:a1e1c1f64a12f186f16af10993f954b6a2121a7ca3175620a0dafa73f1d1595e

Observation 022a5088-8b22-4b50-8791-74f9048968c7 · outbound

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

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Detecting and preventing hallucinations in large vision language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.123981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:a9e782fe59f52c38ea46ffa3713df5fc64d4e4000664e19d8e894f2835c8e737

Observation fcb38fb8-5e54-4682-bb8e-d12298cad749 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.125734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:9c72fb2530e6811e26c97513ecb97faf39f3bef62c8ccf9ed4b337c42fa08d26

Observation 0d1d5b66-7dde-4186-bde0-95a5454abf47 · outbound

This paper cites Bliva: A simple multimodal llm for better handling of text-rich visual questions.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Bliva: A simple multimodal llm for better handling of text-rich visual questions

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.133369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:04ea730bd0cdad11dfc8ee4cb990f527e5a041654089b639c8de1be9823a09ac

Observation e1e989a4-c650-47db-af57-9e7ce46c5b37 · outbound

This paper cites A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Infor- mation Systems, 43(2):1–55.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Infor- mation Systems, 43(2):1–55

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.141489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:d13ff31ced2012ec39ca8a79b70c5fa5eb7bb1e416de649cefa3e1db5abdb7e0

Observation d5a6008d-83c8-425d-9407-13ac26982e0d · outbound

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

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection-allocation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.127873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:4a6290b69a4b5910c5e3f97cdd605b8111fb3f00ecce9d73445fa28f5eda4375

Observation a7d014e3-aa3e-4948-9d3f-e08f224ed4ea · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.116061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:56153afd3abd8838a71e341052b2b496b10b706f284f9bd4a997bff068331680

Observation 9a73a940-a5c4-4d95-be9c-81bef7b6b098 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:25:57.216356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:86c3cc4b974420b6e303f9daffef16813eb7bd942ff6f57ab0d5d35e33ebd74d

Observation a7b5e0ad-a670-4609-8ea7-2143d2e3c0e6 · outbound

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

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.113703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:409da87b5e16a8818c5a802057adc7570825b5dcdd58fde0c513e0ab1a87253f

Observation d7dccb8d-9d71-4b01-bdf4-fda17d7be417 · outbound

This paper cites Streamlining prediction in bayesian deep learning.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Streamlining prediction in bayesian deep learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.117978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:f7e1e844ca33563b884985dbe6d91b7c5c3918a0cea36087d4aff3feb7b604f2

Observation 6bffd226-0cfa-4a30-9064-924f0027157e · outbound

This paper cites Evaluating object hallucination in large vision-language models.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Evaluating object hallucination in large vision-language models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.120155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:1c12cc39ca0384254aafe1c11c1fa1b9672572f47fe76df83fe886227d79800e

Observation 3f09176a-4c26-433c-b393-4284aca93ae6 · outbound

This paper cites A multi-label detection deep learning model with attention-guided image enhancement for retinal images.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding A multi-label detection deep learning model with attention-guided image enhancement for retinal images

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.108056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:3d4c755f6f8ef4f28df84e3c35267ad2088519c5b4fb88c6ed0317aa45ee9a16

Observation 3cddec10-1d66-4d1f-8380-9d2b7c37b436 · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Sys- tems, 35:17612–17625.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Sys- tems, 35:17612–17625

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.109998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:62a33bc3eeabce98601bd43fd92693b71300b8b73be787ebb8f78223a754d452

Observation 469427e4-c2f6-4c34-93a7-27769c9406e9 · outbound

This paper cites Microsoft coco: Common objects in context.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Microsoft coco: Common objects in context

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.149155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:79e56adc8a841bdf9df74548ecbd02d53844f6b1a5a039a851a31f5c9d18da45

Observation 8c15b58c-5e57-45ba-97af-ac4b1f70934e · outbound

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

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.104038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:9d71f5a5d8c177045d3830e80c090d540103cb94e65f00a4474f9cb9db0c6b87

Observation 4628cd45-a0c4-4092-9630-309c5ed4c7c7 · outbound

This paper cites Improved baselines with visual instruction tuning.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Improved baselines with visual instruction tuning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.129923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:bba512bc42820e0945a198e313213dc08dea7e7ecd4a36432ea1f347780708df

Observation b093f4ba-be1d-4cb0-8575-5f3ec8abd24e · outbound

This paper cites Reducing hallucina- tions in large vision-language models via latent space steer- ing.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Reducing hallucina- tions in large vision-language models via latent space steer- ing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.131684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:88d4c405940ec9ed2ba73b640475431538a0415c79647496a57f60f7e96a60ec

Observation 2846ad89-5da2-41ab-8d90-dca5fc542d7c · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:58:54.896552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:aef262920a6a9aa229d20fc9c970ba7d51ad610fc32026252f2c535202da9475

Observation 8365878f-dc31-4b92-9d51-4baaaa51e2dd · outbound

This paper cites Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.101776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:abe426240a19c6f761f594ca2b35f8dd11c7ec7c34edd5f7377419d34d02c635

Observation 89bf3289-1d2a-4572-8d0e-a7b8923e21e2 · outbound

This paper cites Event co-occurrences for prompt- based generative event argument extraction.Scientific Re- ports, 14(1):31377.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Event co-occurrences for prompt- based generative event argument extraction.Scientific Re- ports, 14(1):31377

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.106194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:ab195591e4b0eef4bfd4598507183c94c0c4a5818b0e281e505575c317c83f48

Observation 28d241a8-f170-42d0-a47d-dbbdde2e0ad7 · outbound

This paper cites Deep multi-scale at- tentional features for medical image segmentation.Applied Soft Computing, 109:107445.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Deep multi-scale at- tentional features for medical image segmentation.Applied Soft Computing, 109:107445

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.111863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:f5c03a4cb22f2485386d1cbe44a9a5711c29d6932bd4867bb35dfebc95020243

Observation 7ccaa4ae-1b0d-4250-bb77-b51b248bbf18 · outbound

This paper cites Object hallucination in image cap- tioning.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Object hallucination in image cap- tioning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.122226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:b50f1f4ba3ba71d4a40aaffe50fccfef6129e77bada1944a22fec401e631f178

Observation 839af132-3938-4a8a-a4d3-f126457cf2aa · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowl- edge.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding A-okvqa: A benchmark for visual question answering using world knowl- edge

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.099045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:762164aebfcbd8e8745fb9631bc0fb82cdd76f3f2f9c892e1e704e0936a6e208

Observation 88ac5db4-53fb-499b-ad6d-7616dbead18d · outbound

This paper cites Towards understanding the modality gap in clip.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Towards understanding the modality gap in clip

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.097321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:51e375ae02b3e1664fb86b6cc3944a54ac405b851ac63d2b8aab54872db713df

Observation f3fc0198-8a95-4b69-b579-0257051b3678 · outbound

This paper cites Large vision-language model alignment and misalignment: A survey through the lens of explainability.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Large vision-language model alignment and misalignment: A survey through the lens of explainability

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:25:57.164203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:779b10e214c1255d5b90111c78d8540bf244e00dcb10151ce964445c6a3a9a14

Observation 44969771-3c45-47dd-90bb-76816de3e6c4 · outbound

This paper cites Attention-guided sample-based feature enhance- ment network for crowded pedestrian detection using vision sensors.Sensors, 24(19):6350.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Attention-guided sample-based feature enhance- ment network for crowded pedestrian detection using vision sensors.Sensors, 24(19):6350

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.093636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:1a25f1d08621722bae50aa38ed6adbdc99893703b6b6f0782faf9c6126a09240

Observation 70146606-dbf8-4ddc-9251-ff536b6b6a2a · outbound

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

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Gemini: A Family of Highly Capable Multimodal Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:25:57.193343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:48709052a14aa32b380848c9db5b7c7f34da9652071e8e87c859ec0da78ef128

Observation 0174c04b-d95f-41dc-96e7-50fcf3e0380f · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:16:17.933281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:ce5ca5235847499334880f842ec4c8b2f1db28b5a753f8be7a1d65b6830056b5

Observation 04c16c70-22f9-4808-8548-3cf7589b2c80 · outbound

This paper cites Recent advances in algebraic geometry and bayesian statistics.Information Geometry, 7(Suppl 1): 187–209.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Recent advances in algebraic geometry and bayesian statistics.Information Geometry, 7(Suppl 1): 187–209

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.095591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:4327a619a224fff4ad9fdd410f23767cb86885f4557592e71e019a8a35ec3329

Observation 5320d2df-235e-4d8f-9fe4-66fa38d79037 · outbound

This paper cites Qwen3 technical report.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Qwen3 technical report

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.089115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:bb2216c702faa9e49448391f8d2cc59932e3febab1904c3e7c831c8a4ae4478f

Observation 02d29f06-bccf-4ed4-a2bb-b7058c15300c · outbound

This paper cites Mitigat- ing hallucination in large vision-language models via mod- ular attribution and intervention.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Mitigat- ing hallucination in large vision-language models via mod- ular attribution and intervention

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.091371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:25d2e91b44b80b6afc65e20038e926d6f31a64492f196be62a18af0b9788f329

Observation e07d7dcb-118b-4d30-ab46-25e0c6c6b071 · outbound

This paper cites Clearsight: Vi- sual signal enhancement for object hallucination mitigation in multimodal large language models.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Clearsight: Vi- sual signal enhancement for object hallucination mitigation in multimodal large language models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.135341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:129377e3ff696d124174737ece5d68e52e5745d4463b0d51b811b7389cc3a9e8

Observation 39e2e36c-9224-45b3-a412-a3200eccb4b8 · outbound

This paper cites A survey on multimodal large language models.National Science Review, 11(12): nwae403.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding A survey on multimodal large language models.National Science Review, 11(12): nwae403

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.137137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:6d7b88d1a5ee3416211778e7b3604231cde8f83ea5fb030978d544da48c42dd7

Observation 1c625fd3-8c36-422f-bba4-c8e940004b09 · outbound

This paper cites Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625–5644.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625–5644

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.087465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:212d8d06eed9e353da9b92d2d7aaac5ecedb4ef0e819fe2cde4f9cd8c0463dd1

Observation 540c2ac4-70e7-4724-9f82-e34a24076fae · outbound

This paper cites Investigating and mitigating the multimodal halluci- nation snowballing in large vision-language models.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Investigating and mitigating the multimodal halluci- nation snowballing in large vision-language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.083653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:2513f5c89993fe18bde33aabb7d57a27bd010c6a59de8d980521e027a54d7eab

Observation db768e95-0a88-4d9a-90a2-32a3346fe838 · outbound

This paper cites Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.139634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:89e1ae104f8f95203d9faec4986bdf6a238808313bef2423a602f6e9e87627e1

Observation 82d6c7c5-6efd-4a07-bffa-02f5c0ae0c43 · outbound

This paper cites Ibd: Alleviating hallucinations in large vision- language models via image-biased decoding.

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding Ibd: Alleviating hallucinations in large vision- language models via image-biased decoding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:27:10.085522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:25:41.549837Z digest=sha256:5eef30cd021a7fa8d7be6b5f20efaebe552ba9374c353384ca40d25586597452

Pith citing papers

No inbound Pith citation observations are available.