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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:04eb356f50fc05b95ba361590e274423a233c735e34ebd87c186c764c3c12a83

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=sha256:4e3c970ead12fef31a9598c9f8f1714a8e2539a9203de8ed3ee5d1ddf929cdbd

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:d3729f12146199a1344dcf5fda3e9996185172243ceaf62d2e1b3cf42e72902c

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=sha256:9c8c1611c9feb98294f2cd1ec5135f3bbdafef300fef534495e5d94786e161d9

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=sha256:3c7e8bcfeeb01d44dfc57beffe86477b658aa684468acfbe7af4d5ed45e1cdf1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.766759Z digest=sha256:99b00a7d8c13def0c0a0f6e75eece5094396fcac053af0c6ee4d034363d2d3ef

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=sha256:8443c79aef07ddba46bf6b4203fe1304ca3b2be1c442d44702dca8a3aaf82926

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T10:30:28.782544Z digest=sha256:d0c5ca885eceb9a2985cd2d8c20d1ab4d11c1734a03e3651609946fc11f634c4

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=sha256:4d5bb07d12fd79a996fe299c342f21f2a00ead6766553d1b4cddcd580886f8a8

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=sha256:6083cad4112d63ef1aef2bf81fc59ce534d11a4733695ec7b677a2a4693875ce

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=sha256:91b882769d2e95997f7ea14a3ed21d5676da05af6986929d5c0812ca7c477974

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:bfc416b819afe8eafe86299c4c806b8563d0273ac4b180f4e9a3dcd73b33f51f

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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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=sha256:62770668a95229a0ba12d1edb5506c8f163e484886bc4d99886afd7946ca5a96

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.830730Z digest=sha256:77f09419010e5a20e167ed9dcb6c85ca3cdf8807736f8015975001ec027e276e

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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raw_fallback, observed 2026-08-12T10:30:30.375330Z

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.

source=arxiv_source observed=2026-08-12T10:30:28.840894Z digest=sha256:dfc45205dd995eb0d8edcf201a2cdf19d94808302dae723aaf3107dbeeef9256

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.849282Z digest=sha256:2ec26875a9db97047009d589ac29bf7ac03cc38defe28568ae93027929cd021b

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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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=sha256:7f99b5f8ba33f4b58845b3a3e9688caf3cd69cce6792edcdb785d10ede5b2467

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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raw_fallback, observed 2026-08-12T10:30:30.352341Z

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.

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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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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.

source=arxiv_source observed=2026-08-12T10:30:28.879214Z digest=sha256:e0c00d1e6051a088878abcc4cf0456d92a0d5cb0de417cc32ad3fb644fa4c6ce

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:faf62855cc9e7646cf3dd21596deb5b714b73412cddb02d02d55b601eb61e219

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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raw_fallback, observed 2026-08-12T10:30:30.287489Z

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.

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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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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

Source-reported events for the cited work

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:cec727f12fbcd338eec87af120d2a25a366b4c7887217154786a6140eb30da0d

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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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
local_arxiv, observed 2026-08-12T10:30:29.563644Z

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.

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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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T10:30:28.957193Z digest=sha256:a72cf67ad97d761ffb7d09282907556a65aec1e7a0674f808211f743253b5fd7

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.

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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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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.

source=arxiv_source observed=2026-08-12T10:30:28.981465Z digest=sha256:bd44f5054b5411b9ad515360c9cf16ff318d47101b1f0d81f04ddaa97c3a0cdb

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:30:28.989536Z digest=sha256:e44b136494874d35f9fb1bd8dfb9d48a41b91962082b1211c6800340b880ebb6

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:30:29.000009Z digest=sha256:24231a9c06082ceff8c70eb20688268c8db99a0a355d389cb0faa9b57de72be1

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:30:29.012416Z digest=sha256:d3daf04a072a0c7e65a9a7221e0adc8e5294d7b5b1018f6d3bb34462d27631f2

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T10:30:29.021476Z digest=sha256:0d5b9c8e6e42a4ffbe9e39ba396131f67dd4058c9e578f87c3d9abf72418dcc2

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:29.028641Z digest=sha256:88dfb227a4b7525d14ba8a026b067a19baac1ed4e0710c6c76cf778b0b956ffc

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

Resolution
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=sha256:892458bb64d544f52be9a2a771f2bad7af45fd6932b861b2f8288e9e55ab7235

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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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=sha256:98a5a3d87b314f8ac1173e62f01d38181d07135c48763861f5db9d48fbe5640e

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:cf600626cf568fc1523a6373af894c9423ea9ebb0bd54d28914a0765e60e8621

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:df72df0905b4fa9001d10338789a13d118afc826b5f8a5cbf6665474872c7d20

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T10:30:29.068562Z digest=sha256:9a53286fe4744bf1f4cd9167e7848a5e387adadd769e5a7749e1e77518d58664

Pith citing papers

No inbound Pith citation observations are available.