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Paper Citation Record · LEDGER

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 4 inbound Pith citation observations for arXiv:2412.13949.

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

pith.paper-citation-record.v1
2412.13949 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:43:20.965633Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:12:33.360153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:33:33.763644Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c11ad0e-ef6e-4c02-8606-7ef30df03be3 · outbound

This paper cites online" 'onlinestring :=.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence online" 'onlinestring :=

Reference 1

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source=arxiv_source observed=2026-08-11T12:43:20.811674Z digest=sha256:ee92d55a8507b500024d54213f9e87d7a94662e21c71cbb01f800358085bb928

Observation 8e71665b-7eb8-4f55-81be-8400968c6aa9 · outbound

This paper cites write newline.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence write newline

Reference 2

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source=arxiv_source observed=2026-08-11T12:43:20.816513Z digest=sha256:33f1b833f2e88abb22c183a392334f4492f1076783cdc0ae4dfc14c66e8f5874

Observation 6751a97c-4e3b-4c7f-aa76-c567528d8893 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 3

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T12:43:20.822418Z digest=sha256:b598cc828755a422e469ec7f9725528784d3f6a09d5fa761c37ea3cbc2923abb

Observation 26a38433-087b-400f-9d5c-cc8967f77886 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-11T12:43:20.827402Z digest=sha256:56e0afb8cd9b7360fc193a6173fcb1c2cb121f9d889a31a700a48da192f5b528

Observation e5efbf6c-b5de-49cc-842c-0235872fef2a · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 5

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source=arxiv_source observed=2026-08-11T12:43:20.832959Z digest=sha256:55534fb5cae05e02a59ab919bd7d34455c3ba45589f3dc7ed74e3c3a97e9d436

Observation ef6ed717-92a4-4b99-ba59-39e07dcf5d0b · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 6

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T12:43:20.837451Z digest=sha256:6b79a6cd81b5d7caf8cdbd0e6a66677fc026a3bf642ba056ebf80a17f95caf3c

Observation 5c220af7-0bcb-4b87-82fc-7bdcdfe3e126 · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 7

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source=arxiv_source observed=2026-08-11T12:43:20.841680Z digest=sha256:58392afcbea362d8ebb5bb1be9d2087508f83f81b35ab08afc3bccd76f510b3d

Observation dd45b27f-652f-442f-a452-7d103f9e966e · outbound

This paper cites Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs

Reference 8

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source=arxiv_source observed=2026-08-11T12:43:20.846492Z digest=sha256:288c89a431375e20c7e4dfcff075f0867cc35bef89bdfdf54276ead73c3b6f0c

Observation 3ec7d62f-a2a5-45c4-8661-85aca8f99fed · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-11T12:43:20.851434Z digest=sha256:e2973e12504bab08f538dd3e6738b862af594c8468f1f19b64cf1e0a11be1bf1

Observation 4646c0dd-0fd3-4cf7-b55d-02bd2ee883d9 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-11T12:43:20.855411Z digest=sha256:7eb9a785bde6f5901c731f57c96e4e91a5ebe7797b42a215f25b612764a83e72

Observation 53701d4e-aef9-4bf9-a3b2-f13ccb3964a7 · outbound

This paper cites SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-11T12:43:20.859981Z digest=sha256:f4e8a8b63b9c09680b069dfd68e2abe7814e217e188eac5583c97a49e24d9656

Observation 852d9e6c-b547-4d55-bf36-7a83ede693d6 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-11T12:43:20.865046Z digest=sha256:8a6960db760f4074e442a1155dd3c52f93d5c26ce12a433c365efb3a7656a5c1

Observation 77dc4f56-eb85-490c-948d-0e441ef5d38a · outbound

This paper cites CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models

Reference 13

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source=arxiv_source observed=2026-08-11T12:43:20.868840Z digest=sha256:020873f0892d978cf0cf5ce366069874ff3ce852f9a7547f4fe6726b7ac6e0ad

Observation 465d8076-a4b8-441f-a48e-61b0246e0708 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-11T12:43:20.873166Z digest=sha256:2eec46cf1344f896c2d0a869826b0bf9ea31aa4c5e37a8f5f50f9e74448c467a

Observation f1a91355-895d-4cc7-bef2-c7f7e9897964 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-11T12:43:20.876950Z digest=sha256:7ddae97642172227199885c1c7f80bafbaea2a6fdfcea1333a3710356636ba4d

Observation 1dc3a95c-347e-4463-8940-97ada321e36c · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Evaluating Object Hallucination in Large Vision-Language Models

Reference 16

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source=arxiv_source observed=2026-08-11T12:43:20.881241Z digest=sha256:6786a52745432b6547a60f21bd22268456b321c6d3c1e10dd78b6e4c97806844

Observation acfea5aa-92d0-4f0f-b6b4-f05727b55afe · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-11T12:43:20.887452Z digest=sha256:23b93ca5d9dc8b4267f0d6e9b583f5ca187204536831aad836f64207cf3f5fde

Observation 363d84b1-f26a-45e4-ac01-f7e27bca5ba7 · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence A Survey on Hallucination in Large Vision-Language Models

Reference 18

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source=arxiv_source observed=2026-08-11T12:43:20.892167Z digest=sha256:138458f96a4694e0eec97813a84984f59bd3ab862eeb20ff263513f692aab01f

Observation 7504002f-68ca-4ed6-b2bb-69c304084589 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-11T12:43:20.897048Z digest=sha256:4b7b4023538f7bb32d67afc77371aded2c7a82500dc5ee620252b31fe2ac2cbd

Observation d11e4fa5-2dbb-4992-9386-582fa1171ae7 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-11T12:43:20.902574Z digest=sha256:528b6054f71aa3d1f991727f4f804d871f1f33701b1624bfacc5dca8dc6588a4

Observation a7270439-2564-4f0e-86ca-5f4c437e1d7a · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T12:43:20.907329Z digest=sha256:e40396a04176c22ec4b83be6e7b34b6ee1e1a55c036d6ed1af01b778dab45885

Observation a743814e-47b3-472e-ad4b-8c60f1159b28 · outbound

This paper cites Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

Reference 22

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source=arxiv_source observed=2026-08-11T12:43:20.913891Z digest=sha256:aeb06979a18ff9cc8cb9b71116400493d989775ea03967e82f29db13f44ee81b

Observation 938cef05-60ed-44aa-93d0-a7ae7db50ecd · outbound

This paper cites Object Hallucination in Image Captioning.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Object Hallucination in Image Captioning

Reference 23

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source=arxiv_source observed=2026-08-11T12:43:20.918491Z digest=sha256:0fad4ba58baf01642c9c74b9d10d8d02c9b3c0d7e20972cfbe88f71090c6abff

Observation 785363bd-5926-4f3f-bea9-0204f4115fe0 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T12:43:20.922842Z digest=sha256:79f209f676eb63d82cd5d1f9f115dfa79a89a63c2753c34083fe6b64027e9b88

Observation 648454db-7b70-4598-8b5d-59c1acd56623 · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 25

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source=arxiv_source observed=2026-08-11T12:43:20.926824Z digest=sha256:cdef7fbcb916f1c51b11ef6014dd48d67986dffb21aa617ee7e799c8dcb24e36

Observation 78626cee-2c49-43ac-8f8f-8f2b7539c8aa · outbound

This paper cites V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Reference 26

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source=arxiv_source observed=2026-08-11T12:43:20.930998Z digest=sha256:f9f82e20552003f623b6ec3338a432001635868cc7819960a35dfdaaf5d1948b

Observation 0e209ca7-4ef9-4136-ab70-93ca35104476 · outbound

This paper cites Characterizing Mechanisms for Factual Recall in Language Models.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Characterizing Mechanisms for Factual Recall in Language Models

Reference 27

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source=arxiv_source observed=2026-08-11T12:43:20.936022Z digest=sha256:736f0f65c4f141a0b06e58f1459eb3a004168fcebaed11e1f89806593e0d22b0

Observation c8b21833-4ae1-47c7-ae05-a9c8f9666be5 · outbound

This paper cites an unresolved cited work.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-11T12:43:20.940789Z digest=sha256:89beceea41ddb644c9e7d36190b90b09202a0fbde6eb4668b4541b746dee07fc

Observation 28872082-b61b-4bc2-a25c-581e6cef690d · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 29

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source=arxiv_source observed=2026-08-11T12:43:20.946064Z digest=sha256:68d54873f4f4d28c3ea08923ef865b0350f400bc0e590a3a1c99b0e3307cae51

Observation 2148a53a-8626-47cb-a09f-a7016cf1aff6 · outbound

This paper cites Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

Reference 30

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source=arxiv_source observed=2026-08-11T12:43:20.951273Z digest=sha256:05962fbe6b9cb045e920f6071ed3179010aa222bf5abb2c10d9b6655af7b5111

Observation f106274c-5400-4c35-a2f7-067bff2d52c4 · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 31

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source=arxiv_source observed=2026-08-11T12:43:20.955977Z digest=sha256:0c1396054c5993473610c3268e5659db6c39f72d481fe922528cecc4c5c8ddf8

Observation 5307c4f5-477f-40ef-9754-07e7bdedd5df · outbound

This paper cites On the Role of Attention Heads in Large Language Model Safety.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence On the Role of Attention Heads in Large Language Model Safety

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:43:20.960610Z digest=sha256:400c99cdb5fec859bcffdcb6ace184cd8bebf3c15accc49a1364738809b68a6f

Observation 034b01ce-ad86-45e9-8575-5fdf45b02967 · outbound

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

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding

Reference 33

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source=arxiv_source observed=2026-08-11T12:43:20.965633Z digest=sha256:c3c455b90c1a47ffcf065c38ad15aedfea71db894fa045eb73b7064d220942df

Pith citing papers

Observation a312a27b-331a-44a4-ac26-75a937c88a82 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

Reference 60

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verified exact
arxiv_id, observed 2026-05-11T12:33:33.765876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:74ae4082f83e2e0278048f9ce3423c8cf25b3113d76467c9e08ab931381be04d

Observation e8b80c7e-2716-4599-af91-a96d5d6be162 · inbound

Reinforced Lifelong Editing for Language Models cites this paper.

Reinforced Lifelong Editing for Language Models Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

Reference 16

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source=arxiv_source observed=2026-08-08T18:12:33.360153Z digest=sha256:a601c69d69253ce101ec006dba5a0c4487d9d3210680cf4b1ec22d1b75d8deac

Observation 44510d44-ff8f-4659-942a-4ce9cc822da4 · 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 Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

Reference 6

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source=pdf_text observed=2026-08-04T08:14:36.018675Z digest=sha256:ad4e638ef58cef9414d45c2f96b1c55ce8a48a6123cdfe3a780d6bc7255d41d7

Observation 757db526-452f-44f0-8e53-59a546bb89d4 · inbound

Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs cites this paper.

Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

Reference 2024

Resolution
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