Paper Citation Record · LEDGER

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

As of 13 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 5 inbound Pith citation observations for arXiv:2412.13817.

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

pith.paper-citation-record.v1
2412.13817 v3

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:50:08.783954Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:16.386103Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

67 of 67 outbound references displayed

verified exact0
verified fuzzy37
unresolved28
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a4db7863-f3a6-4a75-b74b-a8175f383731 · outbound

This paper cites GPT-4 Technical Report.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection GPT-4 Technical Report

Reference 1

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Observation 47f072a6-6b10-4f58-bfdb-a33f7815cbb2 · outbound

This paper cites Qwen Technical Report.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Qwen Technical Report

Reference 2

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Observation f0f656f9-4244-43fe-b4ee-befc6c1a33a9 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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Observation b08454c9-c20b-4757-b2ca-9188b989a39d · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Hallucination of Multimodal Large Language Models: A Survey

Reference 4

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Observation 11e48796-69d2-4353-ba88-0e05e9285f07 · outbound

This paper cites Let there be a clock on the beach: Reducing object halluci- nation in image captioning.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Let there be a clock on the beach: Reducing object halluci- nation in image captioning

Reference 5

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Observation e427271f-abe9-4443-a8cb-79833260adac · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 6

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Observation f06b99d7-3d23-483f-aee7-10803e349294 · outbound

This paper cites Dress: Instructing large vision-language models to align and interact with humans via natural lan- guage feedback.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Dress: Instructing large vision-language models to align and interact with humans via natural lan- guage feedback

Reference 7

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Observation f6300f14-713a-4333-a7df-9ac25638adcb · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Internvl: Scaling up vision founda- tion models and aligning for generic visual-linguistic tasks

Reference 8

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Observation d510a2e7-b736-49bd-a05c-1b2f1631d28c · outbound

This paper cites Halc: Object hallucination reduc- tion via adaptive focal-contrast decoding.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Halc: Object hallucination reduc- tion via adaptive focal-contrast decoding

Reference 9

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Observation 234731a1-dcfc-464c-a83e-524f6b53e909 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Gonzalez, Ion Stoica, and Eric P

Reference 10

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Observation d0b77c3e-1554-4cc8-8f60-72ae2b765226 · outbound

This paper cites Dola: Decoding by con- trasting layers improves factuality in large language models.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Dola: Decoding by con- trasting layers improves factuality in large language models

Reference 11

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation 756efa78-18e0-42be-9490-5edc910668d5 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Multi-modal hal- lucination control by visual information grounding

Reference 13

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Observation f434edda-8efa-4df3-b54d-56dcc8e4b8ae · outbound

This paper cites Beam Search Strategies for Neural Machine Translation.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Beam Search Strategies for Neural Machine Translation

Reference 14

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Observation 7a3375e1-0a39-4d07-a49d-628da87cb1c7 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 15

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Observation 6c696640-032f-4733-904a-e8adedcfb490 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Transformer feed-forward layers are key-value memories

Reference 16

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Observation f6c9501d-000d-4baa-8b78-60cc8a47a7d0 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Detecting and preventing hallucinations in large vision language models

Reference 17

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Observation ac187e15-a3c1-4632-a76f-fa2cc22d429c · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection-allocation

Reference 18

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Observation 92d78a79-3cd0-48a6-a544-68334969cf80 · outbound

This paper cites Visual Hallucinations of Multi-modal Large Language Models.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Visual Hallucinations of Multi-modal Large Language Models

Reference 19

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This paper cites Hallucination augmented contrastive learn- ing for multimodal large language model.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Hallucination augmented contrastive learn- ing for multimodal large language model

Reference 20

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This paper cites FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

Reference 21

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Observation 216492b7-b3d7-40ca-9e34-ff2874202eb9 · outbound

This paper cites Exposing and mitigating spurious correlations for cross-modal retrieval.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Exposing and mitigating spurious correlations for cross-modal retrieval

Reference 22

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Observation 6cd8d606-a915-41c3-9280-7dd2200c17a7 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding

Reference 23

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 24

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Observation 288d5151-bb0f-41db-ae03-61fb02b45e6d · outbound

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 25

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Inference-time intervention: Elic- iting truthful answers from a language model

Reference 26

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Evaluating object hallucination in large vision-language models

Reference 27

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Microsoft coco: Common objects in context

Reference 28

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This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Improved Baselines with Visual Instruction Tuning

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Visual instruction tuning

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Reducing hallucina- tions in large vision-language models via latent space steer- ing

Reference 32

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This paper cites Paying more atten- tion to image: A training-free method for alleviating halluci- nation in lvlms.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Paying more atten- tion to image: A training-free method for alleviating halluci- nation in lvlms

Reference 33

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Introducing meta llama 3: The most capable openly available llm to date

Reference 35

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Direct preference optimization: Your language model is secretly a reward model

Reference 36

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Object Hallucination in Image Captioning

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Aligning Large Multimodal Models with Factually Augmented RLHF

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Gemini: A Family of Highly Capable Multimodal Models

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection LLaMA: Open and Efficient Foundation Language Models

Reference 40

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Llama 2: Open Foundation and Fine-Tuned Chat Models

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Activation addition: Steering language models without opti- mization

Reference 42

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This paper cites Model editing as a robust and denoised variant of dpo: A case study on toxicity.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Model editing as a robust and denoised variant of dpo: A case study on toxicity

Reference 43

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Transformers: State-of-the-art natural language processing

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 46

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Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Evaluating and analyzing relationship hallucinations in large vision-language models

Reference 47

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This paper cites mplug- owl3: Towards long image-sequence understanding in multi- modal large language models, 2024.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection mplug- owl3: Towards long image-sequence understanding in multi- modal large language models, 2024

Reference 48

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This paper cites mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.565276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94cb887e-343e-4b23-b9b2-006080be1555 · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T12:50:08.557184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3460ce8-64ea-4f58-8e23-edde692db131 · outbound

This paper cites De- biasing large visual language models.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection De- biasing large visual language models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.520481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6da4d178-cda4-4c62-a6db-c355995b0440 · outbound

This paper cites DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:50:08.587164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b0afe7-b960-49c2-926c-4f6ae91eaa2c · outbound

This paper cites A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T12:50:08.595852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89ed994-eff2-4416-914b-c7f47cf7ccf1 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T12:50:08.611513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad277d2-64c4-435e-a878-d18b4cb9722a · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T12:50:08.621464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c34daa-2d0b-41c9-8e5f-c8d6a3ec1f05 · outbound

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

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Ibd: Alleviating hallucinations in large vision- language models via image-biased decoding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.463696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e6d9efaa-122c-49e8-8e1b-16abf018c97e · outbound

This paper cites We want to proof that: any vector z ∈ RD in the null space of the v ∈ RD, (I −vv ⊤), is orthogonal to the vector v.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection We want to proof that: any vector z ∈ RD in the null space of the v ∈ RD, (I −vv ⊤), is orthogonal to the vector v

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.409695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac749dc7-a493-41b0-943f-144a77939243 · outbound

This paper cites an unresolved cited work.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:50:10.373242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8a23b6c-82c6-48f7-9023-6d99b3e7167a · outbound

This paper cites Factor component analysis The analysis is performed for each layer ℓ, and to avoid the notational burden, we will drop ℓ and focus on each layer separately.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Factor component analysis The analysis is performed for each layer ℓ, and to avoid the notational burden, we will drop ℓ and focus on each layer separately

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.333049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72d764f8-9a13-41c8-b739-0c3a47f0599b · outbound

This paper cites The over- all experimental setup is summarized in Table 6.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection The over- all experimental setup is summarized in Table 6

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.287714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fd8ce0a-a723-4f24-b0d2-1ce3ae171046 · outbound

This paper cites an unresolved cited work.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:50:10.258800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea678e83-85c7-4b73-9a50-3e74f2a75288 · outbound

This paper cites We use the value 4 for LLaV A-1.5 on both CHAIR and POPE.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection We use the value 4 for LLaV A-1.5 on both CHAIR and POPE

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.217335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d38b009-a15e-471f-9015-8155553ec309 · outbound

This paper cites It is set to 3 for both LLaV A-1.5 and MiniGPT-4, while for mPLUG-Owl2, it is set to 1.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection It is set to 3 for both LLaV A-1.5 and MiniGPT-4, while for mPLUG-Owl2, it is set to 1

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.157593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 252e1974-6bb0-4830-a68e-002a2cc5a9b4 · outbound

This paper cites Is there a/an {} in the image?.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection Is there a/an {} in the image?

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T12:50:10.118319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6c881a2-1bb3-4998-a53b-a9100eacaf2c · outbound

This paper cites The baselines demonstrate consistent performance pat- terns, with Nullu uniformly improving the perceptual com- petencies of the LVLM model.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection The baselines demonstrate consistent performance pat- terns, with Nullu uniformly improving the perceptual com- petencies of the LVLM model

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:10.082097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0689eaf3-88e2-41af-a165-e76970d4afe2 · outbound

This paper cites The illustration of difference vectors and random vectors in the feature space.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection The illustration of difference vectors and random vectors in the feature space

Reference 66

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T12:50:10.042576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 21c265ff-7feb-4dff-a538-f717d63b0b29 · outbound

This paper cites {Response}.

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection {Response}

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:50:09.989545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation f077877d-31bc-420f-bb7e-e138fb2a0a4f · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.231477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31f190b1-04b0-4372-8834-c35e970dbfb7 · inbound

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models cites this paper.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:16.386103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d6127e-65cb-4c24-9b3a-0da6255b599a · inbound

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs cites this paper.

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:08.715420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0295aea-25da-4815-a181-6177b5f0eca2 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.535576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e91ed17-c34d-4a30-8dde-56253bb07474 · inbound

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration cites this paper.

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:44:38.762078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.