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Paper Citation Record · LEDGER

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2411.19187.

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

pith.paper-citation-record.v1
2411.19187 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:30:29.068562Z

measured 46 of 46 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 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 exact1
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79d2b3a4-ff9d-44c3-acaf-a142978e4944 · outbound

This paper cites online" 'onlinestring :=.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs online" 'onlinestring :=

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.724893Z digest=sha256:6a9f874b164f13b75d94bd48f1619bc401ebe97c50b7dfbe55c0be68ca205cf2

Observation f6b2885a-a794-4fa4-acd6-2c78f25d7b24 · outbound

This paper cites write newline.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs write newline

Reference 2

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source=arxiv_source observed=2026-08-12T10:30:28.734016Z digest=sha256:264f710c308ab2ffbb00e84bea522e3a108fe25996bc1c9b8c1b4d695744a75a

Observation 1ab5ed0a-e289-4657-a2bf-8f37ac8bf297 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs The Internal State of an LLM Knows When It's Lying

Reference 3

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source=arxiv_source observed=2026-08-12T10:30:28.742633Z digest=sha256:725ec51f3570c2130f0195563dc3edb1b2e2183db16b49dded4b4aba0bd176d4

Observation d88b799c-4b1f-4f56-a520-6e1c1683d663 · outbound

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

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

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source=arxiv_source observed=2026-08-12T10:30:28.751464Z digest=sha256:816eb25d2b60ad912df32b0af14e15bb07a30649377d0f407cf29e988bff03f0

Observation 8f1ae526-d976-43dc-875b-b976974f6d4b · outbound

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

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Hallucination of Multimodal Large Language Models: A Survey

Reference 5

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source=arxiv_source observed=2026-08-12T10:30:28.759298Z digest=sha256:753bef10825ff81dfa832774846bb3884ea1b48130a09d1698ccf8185ae9788f

Observation 14416cd9-1b71-4634-8dd1-348dd7be2d1d · outbound

This paper cites Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Reference 6

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source=arxiv_source observed=2026-08-12T10:30:28.766759Z digest=sha256:943d03cc6602f05445f3d8d7dc63caa51a4a47cd5f00e84e21d4d9ae7d447b9d

Observation 609d4af5-3150-4f8c-9ab1-84f8bc084176 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 7

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source=arxiv_source observed=2026-08-12T10:30:28.775478Z digest=sha256:684da057715c13d124b0c093e99ae7da076bae6e866ba999740564e8e03c9541

Observation 58183827-ff4d-4bef-b125-90747981041b · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 8

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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=arxiv_source observed=2026-08-12T10:30:28.782544Z digest=sha256:d8add67d70c8d7a82e0c258b81fabe3a81b19d7371f6586d04c640dea048c370

Observation 67fe48d7-b5d2-489b-8e67-28893ecc7cee · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-12T10:30:28.788996Z digest=sha256:5bd5f5ced087ecd67a31c70149fc345c2a7a58bbb298087f44c5f5353255469c

Observation 31d6784e-93f2-4fef-9e59-b724dd020d23 · outbound

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

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-12T10:30:28.794818Z digest=sha256:f22303dd5936e367ebe1f03099649ae7e93d4056c92ca611d6e8750457052855

Observation 74939634-deb3-4302-9f8d-04a528a7b796 · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 11

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source=arxiv_source observed=2026-08-12T10:30:28.800185Z digest=sha256:43d5ec11b7b7ef2551b91c94f7d491d65e210e151c7de2c73891aedad3b83393

Observation f43c40aa-3039-4a66-beac-a64ad2812eaf · outbound

This paper cites RARR: Researching and Revising What Language Models Say, Using Language Models.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.805725Z digest=sha256:5e949961497cfdd6cbc8fb51e6ef9b1fb7bc71c2d04c497bb69dd034762d97ba

Observation 549b25a9-4f4e-4206-bb8d-9d9f1c1fe5ad · outbound

This paper cites Enabling Large Language Models to Generate Text with Citations.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Enabling Large Language Models to Generate Text with Citations

Reference 13

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source=arxiv_source observed=2026-08-12T10:30:28.811033Z digest=sha256:7806e64393c4338d5a7541ccede36011338b57e7472b9e7e3962745f490e7b93

Observation 0af114e3-8b02-4ccd-b3da-512d183af815 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.822884Z digest=sha256:b157032f1ed2db5eac649abe5457a8051d3a58227a824b113173f333150d955a

Observation 9f197368-552e-493b-b9d5-cc4730d827a1 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-12T10:30:28.830730Z digest=sha256:35f43350875f7c7d39c6586ded429fbdc021164cf23dc78eac2ba231fb0a995f

Observation ae02e8d7-584c-41ff-a0b1-deeb691cce3f · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 16

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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=arxiv_source observed=2026-08-12T10:30:28.840894Z digest=sha256:b6e42f8b2f237159c1786ef89111c11acc076a3fbe0c5d1db9dc8147f7347cee

Observation ae92534b-51f0-4990-a7bc-43e75dd13768 · outbound

This paper cites Towards Mitigating Hallucination in Large Language Models via Self-Reflection.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Reference 17

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source=arxiv_source observed=2026-08-12T10:30:28.849282Z digest=sha256:2e8f3eec9d72fc8ffe6e6bfcab76a42da9ed5d24c7bfc7901a501e11ce41dc15

Observation ff761382-1983-4874-b426-85c06ace8390 · outbound

This paper cites Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations

Reference 18

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source=arxiv_source observed=2026-08-12T10:30:28.856594Z digest=sha256:9cbd889aab8f784f84f854f834383cdd21d79d93cdecd88eb0b68a259a12fc0a

Observation 7320da05-7bbb-4e55-9216-3289bbe9cb8a · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-12T10:30:28.862855Z digest=sha256:71a6b58fce634c096e95fee368546e8a6e93409375f068ee6b771a0d6728c1cc

Observation fedc62e2-3999-4a92-8d17-6ad7826d773f · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 20

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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=arxiv_source observed=2026-08-12T10:30:28.868052Z digest=sha256:674f2660a64885bc22238d84d0bc07c3a00452306034f9cd40b94c6eabe6f2f7

Observation 59d11d14-e604-43a6-bfbd-70cfaba984d7 · outbound

This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Latent Retrieval for Weakly Supervised Open Domain Question Answering

Reference 21

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Observation 7318a09b-f5c0-4bd5-8c7b-773cbc60b696 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-12T10:30:30.330765Z

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=arxiv_source observed=2026-08-12T10:30:28.879214Z digest=sha256:9f5164f21ad452ff45ad35974528e1257b77385b8745eecb42cead91c38256ad

Observation 8176da66-b052-4247-aa96-1444c4a42071 · outbound

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

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs A Survey on Hallucination in Large Vision-Language Models

Reference 23

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Observation 0c192a0b-9b3b-4f5f-b226-bfdc947ea4d3 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-12T10:30:28.891951Z digest=sha256:934ef5cdeba55ae3b0dd70a837bf074e8bd31c33cc1457fa7b872959311a2f63

Observation 01c4bebd-15c9-4be8-91d7-2ea85a83aebb · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 25

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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=2026-08-12T10:30:28.898528Z digest=sha256:c93c37bb89b5c5d11f5d27c93809373fadcb272c2d62c55d55416e2277073ade

Observation 2da2a969-5d48-40b8-ba10-6df9a264672d · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.905805Z digest=sha256:360a00c3cd5be7c8b3c41235ae7019d5fba6a3b098d41c614a1359511eb85896

Observation 5c3810d7-ca8e-4d97-8e6e-e889c3fbb619 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 27

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no resolver link, observed 2026-08-12T10:30:28.912523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81b78f27-2b32-4533-9a4b-4a2a85b0d1b4 · outbound

This paper cites Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering

Reference 28

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no resolver link, observed 2026-08-12T10:30:28.920670Z

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Unavailable: canonical work link unavailable.

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Observation 9a4b11d6-52b3-43d8-a6a4-05f25c1ff7f6 · outbound

This paper cites Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

Reference 29

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no resolver link, observed 2026-08-12T10:30:28.931434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.931434Z digest=sha256:458200b603cfbeaff2668e3744db5dea9181e84d6bac39a5b8b3c6b17a8136c2

Observation 7afbbc3e-f846-4990-a288-919889ff16ae · outbound

This paper cites Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition

Reference 30

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no resolver link, observed 2026-08-12T10:30:28.940113Z

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Observation 94578df9-6f54-486e-9d28-a3f1226aa5d8 · outbound

This paper cites A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations

Reference 31

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verified exact
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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=arxiv_source observed=2026-08-12T10:30:28.949071Z digest=sha256:36056c4aaea1dc55a92bad68a7a79d6f480a57cb2504431dd54863de2a627e53

Observation fed211c7-23e7-4a09-ac4c-78e9ffae8a16 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-12T10:30:30.264622Z

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=arxiv_source observed=2026-08-12T10:30:28.957193Z digest=sha256:28e75e60cdeb255e5c3f613a8ff0c45b808142e36d071cea233045c583e00d41

Observation 7dbe871e-a673-43a6-b81d-84cea36b1d05 · outbound

This paper cites Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.963840Z digest=sha256:fee7630e8abbc1600de84e41a9ef8498626ad456aabb388f42c8ba22f7f50644

Observation f921ea6d-5e77-42ab-9348-a4bc98f2a6ba · outbound

This paper cites Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Reference 34

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no resolver link, observed 2026-08-12T10:30:28.970375Z

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Unavailable: canonical work link unavailable.

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Observation 97aeae54-de01-4f61-99ec-4f8ef9e0cbfb · outbound

This paper cites Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models

Reference 35

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no resolver link, observed 2026-08-12T10:30:28.976146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 32c37365-18e3-45b4-af98-8d764a0f2a72 · outbound

This paper cites Recitation-Augmented Language Models.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Recitation-Augmented Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-12T10:30:28.981465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b38acd07-d06d-4828-aa81-fc99468c7951 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 37

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no resolver link, observed 2026-08-12T10:30:28.989536Z

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Observation 43c0e182-961f-4b2a-bf8c-8c53aaab370a · outbound

This paper cites Fine-tuning Language Models for Factuality.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Fine-tuning Language Models for Factuality

Reference 38

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no resolver link, observed 2026-08-12T10:30:29.000009Z

Source-reported events for the cited work

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Observation 712a34ab-8d14-4ceb-830a-11e4a34f4725 · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 39

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no resolver link, observed 2026-08-12T10:30:29.012416Z

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Observation 89ed76e3-810d-4c04-86be-724714943fd6 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 40

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unresolved
raw_fallback, observed 2026-08-12T10:30:30.243728Z

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=arxiv_source observed=2026-08-12T10:30:29.021476Z digest=sha256:0d2938d3221c84f659cd26220beab5902a5c0a5b41704c2fb143dffa397bdf7a

Observation ad31bf02-889f-492a-8b9c-b31330d41642 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 41

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unresolved
no resolver link, observed 2026-08-12T10:30:29.028641Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:30:29.028641Z digest=sha256:7e8f21ce0bd6ef26ce32bcdaee26148171fc248217a510d8ffaecbcb26f09d1b

Observation 00891f3f-cda8-45c7-be81-e6982c9b926f · outbound

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

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 42

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unresolved
no resolver link, observed 2026-08-12T10:30:29.040507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:29.040507Z digest=sha256:581a56e88bdecd61afc735199bc4b82b484320477f3956593c42aa7d133ae82f

Observation 00e3b3a9-f0d4-4328-bf3d-e3dec919145d · outbound

This paper cites Do Llamas Work in English? On the Latent Language of Multilingual Transformers.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Reference 43

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unresolved
no resolver link, observed 2026-08-12T10:30:29.049388Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:30:29.049388Z digest=sha256:e7920fe564775e3a17b80928fcb2ad53884839bc4001b4e3c16134b6451dac55

Observation f4652167-860a-4d5a-a1c3-07da78f492df · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 44

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unresolved
no resolver link, observed 2026-08-12T10:30:29.055110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:29.055110Z digest=sha256:e4ca6639c167e4a1e31f7e86d3e05bdea0c01c69c0f3f234548a6ba3e54f2686

Observation aac6fe8b-2190-47a5-a543-6161cb610f45 · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 45

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unresolved
no resolver link, observed 2026-08-12T10:30:29.061372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:29.061372Z digest=sha256:b0de6f439442abb5efccf02be8ca93e0dda044d99e9ba097bc337d096cb4cdce

Observation bea775a9-1ea3-43f9-94e6-4f5601323eef · outbound

This paper cites an unresolved cited work.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Unresolved cited work

Reference 46

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unresolved
raw_fallback, observed 2026-08-12T10:30:30.211492Z

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=arxiv_source observed=2026-08-12T10:30:29.068562Z digest=sha256:dd643fe270cb8159d90f90fb0b341ebe40b35f152f0d6eb3341a5289b87bb3c9

Pith citing papers

No inbound Pith citation observations are available.