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Paper Citation Record · LEDGER

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach

As of 19 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 inbound Pith citation observations for arXiv:2502.00577.

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

pith.paper-citation-record.v1
2502.00577 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:37:22.590578Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:11:19.672753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:41:05.828465Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c9d8d66-ebdd-4b17-af06-253c8a43d3fd · outbound

This paper cites write newline.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.361946Z digest=sha256:f960b74f54b875ae03e8c5256198923d03983c4ebb50cd0ed7f024dea62c789a

Observation d44157cd-1a25-4b38-8d17-421693562e0e · outbound

This paper cites GPT-4 Technical Report.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach GPT-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-09T18:37:22.366696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.366696Z digest=sha256:0d87929ddc44cf606c4792e0b44d5cffff953ad3591b7570c2d26af5bcee06a8

Observation d1afc926-5eed-4ce2-b80f-3ed66436bb61 · outbound

This paper cites Deep Variational Information Bottleneck.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Deep Variational Information Bottleneck

Reference 3

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no resolver link, observed 2026-08-09T18:37:22.370973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.370973Z digest=sha256:4c8d3461f333738a8e2eb3568316eff18404b0276f8b4c700043e28755365f4e

Observation b97511ad-ee4a-4ce6-a54a-fc2dae7d07f9 · outbound

This paper cites I., Baratin, A., Rajeshwar, S., Ozair, S., Bengio, Y., Courville, A., and Hjelm, D.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach I., Baratin, A., Rajeshwar, S., Ozair, S., Bengio, Y., Courville, A., and Hjelm, D

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.374642Z digest=sha256:837fb67b36dee202672f02eb852c0e4d01ec162a59ab41c3ec7874f25cc3cc65

Observation bdfe2e93-ef00-4d9f-b2cd-a076643e7a8b · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab9bc165-a0d0-4003-877e-ec0f2c8a7365 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-09T18:37:23.272285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3e9f1598-4dc8-4288-a012-8d2f16e8927f · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.383925Z digest=sha256:35954c45ce6667b1de3e345e961db197458261e921278fc4752208fb2e4a3d8e

Observation d2981d15-d58d-4fe9-ae07-61d109924f7a · outbound

This paper cites Rev: Information-theoretic evaluation of free-text rationales.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Rev: Information-theoretic evaluation of free-text rationales

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.387258Z digest=sha256:da284b43280f82556ea00d0990e615e402bf0cc2480654baae3cd8bf05dfc096

Observation 90199bd6-4d82-4b70-adbd-8ab9732a126e · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.390352Z digest=sha256:ad4b80344cf6ccc3ea275fbffab2ab9df0397c712e920cefee490a429d92f521

Observation 189b3758-09ee-4de5-847e-b035692d4008 · outbound

This paper cites Club: A contrastive log-ratio upper bound of mutual information.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Club: A contrastive log-ratio upper bound of mutual information

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4a518a6a-892b-46e9-b43f-43b9676e921e · outbound

This paper cites Fairfil: Contrastive neural debiasing method for pretrained text encoders.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Fairfil: Contrastive neural debiasing method for pretrained text encoders

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 07e0b3e4-df60-4972-ab6d-9a4f1cf1465b · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unsupervised Cross-lingual Representation Learning at Scale

Reference 12

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no resolver link, observed 2026-08-09T18:37:22.399684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.399684Z digest=sha256:f8fa3f91708f7b06d7bc6cd6549bbcca2e328f22f145f74a4c9bf758df9e9ade

Observation 5f44aa2b-4672-40e7-b11f-f4fd15b78b32 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-09T18:37:23.217692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34580dcd-73ef-4662-bcfb-e3fad7547bda · outbound

This paper cites An information-theoretic approach to distribution shifts.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach An information-theoretic approach to distribution shifts

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.406141Z digest=sha256:a23b157cb092b1d35eeffc8fb9f251a28aa7658868d48bff05719c4486e41856

Observation 87f04269-61c4-45cf-9295-d5068b1a2d46 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-09T18:37:23.199241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.409209Z digest=sha256:e6efd1b635ac65014a98365f5370aeea4e648b06e7f130f83467c0a317c94916

Observation d3630b04-568a-4559-bad8-1da5abaf4e09 · outbound

This paper cites Finetune like you pretrain: Improved finetuning of zero-shot vision models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Finetune like you pretrain: Improved finetuning of zero-shot vision models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.412172Z digest=sha256:89a8dc18cc2aa69cdbd9ea5d39a84d120a8272dff0609643910351540fef7743

Observation c12eb1bc-7f36-44ee-99a7-8fa12ad952ea · outbound

This paper cites How well does gpt-4v (ision) adapt to distribution shifts? a preliminary investigation.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach How well does gpt-4v (ision) adapt to distribution shifts? a preliminary investigation

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c558a017-6367-4981-b109-4435838c6ad7 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Clipscore: A reference-free evaluation metric for image captioning

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 595f81a9-01bc-470d-81db-68b15b4815e7 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5211b60e-00ca-4e97-809b-b8709d63955a · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-09T18:37:23.151217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.424279Z digest=sha256:b3320c63b7c89595dbc0a9b7fa571fbed729e872deddf2ba46b0711def9bd03b

Observation 795091c5-efa2-4f92-9dff-2760c72cb1e0 · outbound

This paper cites The Representation Jensen-Shannon Divergence.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach The Representation Jensen-Shannon Divergence

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.427409Z digest=sha256:36e7bb8c5dff131397931c16d411128020112cadfa2b1290fb4a8a0e5b934237

Observation 6015235b-f253-4b99-9770-78b3ab9e68ea · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-09T18:37:23.140868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.430721Z digest=sha256:4be4f22a3a6c9547354149c95986b6a9570422a33cc99a47e7feb71a9c1b72aa

Observation b219e170-0943-41fd-8a3a-86ef68d1b749 · outbound

This paper cites GPT-4o System Card.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach GPT-4o System Card

Reference 23

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no resolver link, observed 2026-08-09T18:37:22.433739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.433739Z digest=sha256:8de2669f27e0b3dd5a3ca760239ecb16852f409ac5103aa947946f0aceb29c21

Observation 72fd4dfa-6f26-4fbe-b99d-f24504382b7e · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.436987Z digest=sha256:51fe20218eb19deaf4ba9ff8a69e29e06842ac2ce727a108dd65505de483ea21

Observation 29c0c5e9-c8f2-4ec8-9069-3c276140eb8c · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-09T18:37:23.130970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.440240Z digest=sha256:8799a25d4b841de0657f4c30b6cf809c3fe24b570dae783a77ab18e0e01a24f9

Observation bf2e057f-be82-4557-ab67-ebb441917081 · outbound

This paper cites Prometheus: Inducing fine-grained evaluation capability in language models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Prometheus: Inducing fine-grained evaluation capability in language models

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.443094Z digest=sha256:3dcc8192b75766b383c6c1943937d1ab14af386bcdd34b3d8d0c316a3d0dcf64

Observation e6aff845-c8bd-4ea6-9e38-bfa064587ae7 · outbound

This paper cites Rademacher complexities and bounding the excess risk in active learning.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Rademacher complexities and bounding the excess risk in active learning

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-09T18:37:23.111200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation faeea4c6-0783-48ba-9e98-27e110b02ac2 · outbound

This paper cites A mutual information maximization perspective of language representation learning.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach A mutual information maximization perspective of language representation learning

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.448997Z digest=sha256:85740980b707c36fc0857aba7e7ca61884646642bd2f26caf2193ec23ee557f5

Observation 78e37d9b-b772-495a-81c3-a3396f7af58b · outbound

This paper cites Estimating mutual information.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Estimating mutual information

Reference 29

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no resolver link, observed 2026-08-09T18:37:22.451794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.451794Z digest=sha256:b8b9858c3547ebd45ed16bb784b52c219e94e707240fc1507a9555ac5270ac8f

Observation 198d0fea-8280-42b2-a5ca-a9efca09d3d1 · outbound

This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Fine-tuning can distort pretrained features and underperform out-of-distribution

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:23.085315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.454612Z digest=sha256:767d224d3824a6ec441b8aca0fe9fbad5c6156f23bafedd6bf0ec039ab0826ea

Observation 13b24b29-8b7a-457d-93bc-536c6d920b65 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 31

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raw_fallback, observed 2026-08-09T18:37:23.075313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.457363Z digest=sha256:0551cbd0cfc5a7983e7460138f4e51116d7ab094a5480c0b6cf0a561642708c1

Observation 7e7cc85e-0578-4585-b2f7-ba963f534ace · outbound

This paper cites Robust prompt optimization for large language models against distribution shifts.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Robust prompt optimization for large language models against distribution shifts

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-09T18:37:23.065498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.460187Z digest=sha256:cb906f092ecfe574841f14cd53e2e71057705f6d578fd895c6ef7e24aa6411db

Observation b02229b8-cfc5-46d3-b6c0-837ebbbf1227 · outbound

This paper cites and Turner, R.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach and Turner, R

Reference 33

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no resolver link, observed 2026-08-09T18:37:22.463111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.463111Z digest=sha256:346a730a9878ad47aaf27683800c7eb5c98912b1e48a9b3a6a59fc20cb45b4ec

Observation 2081fa82-b69b-43b7-9314-8ec1081beeab · outbound

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

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Evaluating object hallucination in large vision-language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:23.049451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.466042Z digest=sha256:e97cdec2f0e73b33e7013b4f734dc7236e4dcf740ffb5a7170b84b52aea6f55b

Observation 22e1020e-88ee-4332-b149-06d94db768c8 · outbound

This paper cites Aligning Instruction Tuning with Pre-training.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Aligning Instruction Tuning with Pre-training

Reference 35

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unresolved
no resolver link, observed 2026-08-09T18:37:22.468968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.468968Z digest=sha256:e9a54214f9fc914a99d778666d81e128dc09b0e41b0e994dad3c984f82e34142

Observation 5b611a17-3792-442e-a882-7ee7c6c80f6f · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-09T18:37:23.039599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.472381Z digest=sha256:1653d62216190ddbae5a2640fff79d44e247cb4725c45073a8c3e6a6bd2b198e

Observation 4ccf07d0-2882-4c26-89f4-950c1bbe5073 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-09T18:37:23.025286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.475236Z digest=sha256:4b50881623d45233e5fcef1a95c7fa1a5780128c0b0eed8fbaeb1938192b7265

Observation 92ff93b0-0f24-445e-a05e-b13c2f1862a6 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-09T18:37:22.478134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.478134Z digest=sha256:3a94e1a73ffd636a5bcf33c0f21a0781ef4ee173a4dfcbbebfb2a8a086dcf418

Observation 0a0fff0f-d93d-434a-b361-9c4acd4e3750 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-09T18:37:23.009336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.481153Z digest=sha256:df454786f2fecb72c9f9b3e330c0d677721947f73cd7712634895e7db494571a

Observation 43d6de76-5468-453b-be1f-a585197e15e2 · outbound

This paper cites Foundations of machine learning, 2018.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Foundations of machine learning, 2018

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.484066Z digest=sha256:b7faf5a7650b819b610dd6c19dbbb930379225863a13f7855c4c70dbf58f63e1

Observation ba54710c-7887-4a7d-9060-86e1a79c6964 · outbound

This paper cites J., and Jordan, M.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach J., and Jordan, M

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.989137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.487066Z digest=sha256:0fa655871458e9f241642262ad1dfe4c8126b76eedef3441d82cf6cb2b8647cd

Observation 8257ab39-5c17-469c-bf10-c34f1fdec0ec · outbound

This paper cites Towards calibrated robust fine-tuning of vision-language models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Towards calibrated robust fine-tuning of vision-language models

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.490094Z digest=sha256:19ef91b9b5bfedf27667a75f8bd8db3c4c77437f2dca1dca74e4fc7af0b2bfee

Observation ad6b04ce-f9ef-447a-a38a-ce620c04d2cd · outbound

This paper cites Dawin: Training-free dynamic weight interpolation for robust adaptation.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Dawin: Training-free dynamic weight interpolation for robust adaptation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.968602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.493315Z digest=sha256:3e1724d6f7fd49399afac29229d79ababf5d0625c9b56fb028c1a38534554798

Observation 50ba2322-ed56-4ddd-94a6-cd675b61e334 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Representation Learning with Contrastive Predictive Coding

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.496617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.496617Z digest=sha256:52fa442b84eba1a190c76f587add6abea0acccde6e51bdc991510365341bab47

Observation 75ed145f-b41e-4d17-9ebf-6f702b0c7c95 · outbound

This paper cites Training language models to follow instructions with human feedback.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Training language models to follow instructions with human feedback

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.499898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.499898Z digest=sha256:5526bbdbed7b7f9d040f9e3e4be88be70cc082df2159489df1cd1c195e7d8226

Observation 90f36646-9a36-49a9-ba8b-0c65d6353236 · outbound

This paper cites Estimation of entropy and mutual information.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Estimation of entropy and mutual information

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.953138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.502898Z digest=sha256:e335ea78fb0380a1156152b14bfea14e2eb80f4707b83ac130edfd8eade14982

Observation 100a0f0f-02f5-4502-9b3f-f5bcb88fc4f9 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-09T18:37:22.943721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.505941Z digest=sha256:ce79380d74df53193742ac0630f41754c3fb5ccb380d088d730e49ca87f5c457

Observation b1ba5e12-e7fe-4806-a54b-b5f484d91aef · outbound

This paper cites On variational bounds of mutual information.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach On variational bounds of mutual information

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.934525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.509018Z digest=sha256:821da75e4d9a54a1d61780e7baaf80744245b42bd09bf17e675c00de8692bb82

Observation 4dadb31d-8ecb-4d99-88f8-c829b13f5e84 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.511987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.511987Z digest=sha256:ffdcee00ce4b9268a378ba6c87cecbc1c6cf000eacb90d3270de43eb49913d23

Observation b155f565-0fdf-4705-941d-8e3bba6b83d3 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.515059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.515059Z digest=sha256:7d7909801c834633d11735d88cd1d06eecac3bbacd532da8ac83a7aa6d6aeedd

Observation b77974f0-9690-442a-b66c-f9f439562bc4 · outbound

This paper cites A novel domain adaptation theory with jensen--shannon divergence.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach A novel domain adaptation theory with jensen--shannon divergence

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.913514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.518170Z digest=sha256:b641893a4ec580de6b247c31b644eb076d9ef4b78139dd5db587155553508286

Observation 13098184-beb5-49c6-8408-e45891f1c756 · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Opening the Black Box of Deep Neural Networks via Information

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.521422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.521422Z digest=sha256:8182ba34a23ce35d424a132b790b320a4e364053127658acafdbc8e1a103a2f5

Observation 4eecf730-b1e4-4929-b51d-fd388f9dfaa0 · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-09T18:37:22.903158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.525031Z digest=sha256:d37aa9bbaf54a06cff7b0a52650833857a165181229883e649338e16bd785664

Observation 84411106-544c-4db3-a93d-a1f039b14286 · outbound

This paper cites and Rawat, A.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach and Rawat, A

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.893450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.527918Z digest=sha256:34cbbe3949ab1c8268b23381cf6e48b8f634efad420198f30c6d43c2e6264dd8

Observation bf5878ee-c166-4ceb-95dd-94c368f55069 · outbound

This paper cites An information-theoretic approach to prompt engineering without ground truth labels.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach An information-theoretic approach to prompt engineering without ground truth labels

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.883331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.530925Z digest=sha256:306221d693195ee418c20940c0a179ab7e45a128b540e8be9a249b4fcba55d4e

Observation 61e28932-da66-4439-8072-c051a3b558f9 · outbound

This paper cites and Goldfeld, Z.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach and Goldfeld, Z

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.873438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.533981Z digest=sha256:fe7096631810a0f14414ea375dd0e7f658e8c8878b9b7d7c03c373eb47e786f5

Observation 396b85c9-7909-47de-ac21-e3c895cd1b95 · outbound

This paper cites K., Fukumizu, K., Gretton, A., Sch \"o lkopf, B., and Lanckriet, G.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach K., Fukumizu, K., Gretton, A., Sch \"o lkopf, B., and Lanckriet, G

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.863789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.536870Z digest=sha256:1e32a2fd268e9b438aff6e062030a96f295e1f28523460fa5a98aa66db40e768

Observation 4007c452-fcec-41c3-a437-431d8b8c7f62 · outbound

This paper cites Measuring robustness to natural distribution shifts in image classification.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Measuring robustness to natural distribution shifts in image classification

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.539823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.539823Z digest=sha256:6eda8f0fb0a1d8df24e1f484f885895bcc8684dbc78267789b6621541dfaa175

Observation e8a4ce3c-6946-4be8-bb79-cc9f84edde3a · outbound

This paper cites K., Khetan, A., Lin, Z., and Oh, S.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach K., Khetan, A., Lin, Z., and Oh, S

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.848252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.542618Z digest=sha256:02490d14b935bf1ec4c885abfd453d865764696b352c9e17acb07e9c7b4d0bbe

Observation 936fba69-c066-4a33-bba8-b9dd8bc9f5c4 · outbound

This paper cites Trainable projected gradient method for robust fine-tuning.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Trainable projected gradient method for robust fine-tuning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.545829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.545829Z digest=sha256:6df61cdca5d6616cda8123135ca0989d79e19cee4b3cef5735eb59588a4cd873

Observation f3908a94-f943-473b-b524-6886821bfcc2 · outbound

This paper cites K., Gelly, S., and Lucic, M.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach K., Gelly, S., and Lucic, M

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.833132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.548806Z digest=sha256:7416b5292cef6dc3cd56c87d73fefc88f13beb50b94b0b163ea7c3f2693c0291

Observation 88be08d1-cc4b-4d24-a09d-e229bebfeb43 · outbound

This paper cites A., Saeidi, A., Hegde, S., Therala, A., Bardoliya, F.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach A., Saeidi, A., Hegde, S., Therala, A., Bardoliya, F

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.823660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.551724Z digest=sha256:320da4f4eba12f40f825985b10d343bf3e3a779bb83c330b1fa923e544238404

Observation e811a48b-b2dc-4b9d-b6fb-0b6a8a644b8f · outbound

This paper cites an unresolved cited work.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.554670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.554670Z digest=sha256:468dc30c82fe906f48082d06e4e53c4017d9e8cb127342412b567624caa08e8a

Observation 85d12f2c-5e41-4663-9aa1-24e07adc26aa · outbound

This paper cites Info \ bert \ : Improving robustness of language models from an information theoretic perspective.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Info \ bert \ : Improving robustness of language models from an information theoretic perspective

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.808025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.557668Z digest=sha256:7071f8acbe06abc2f007f40a1539ba4afaf0b2e09703354534c7fcf61c17978c

Observation 4d58bd9c-ea6d-4f0d-a203-46ecba6ed8cd · outbound

This paper cites W., Li, M., Kornblith, S., Roelofs, R., Lopes, R.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach W., Li, M., Kornblith, S., Roelofs, R., Lopes, R

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.560644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.560644Z digest=sha256:c3a4c6d70cb854984de21a34106d6cbee9ae7a37dcd851a718dbfec67efe3983

Observation ebd55dcc-bce5-4288-8f13-7113462c25c4 · outbound

This paper cites and Barron, A.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach and Barron, A

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.792194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.563501Z digest=sha256:6715f18ef4bfdaf8fb8efeab0370331320131f79dc45b503f40bb34c4fbe2070

Observation da279d00-45b7-4ff6-bf4a-95005ea0f1d1 · outbound

This paper cites Beaf: Observing before-after changes to evaluate hallucination in vision-language models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Beaf: Observing before-after changes to evaluate hallucination in vision-language models

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.782109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.566559Z digest=sha256:4cb25699a551baac98466d086f315874e13488441cb79cd2775d8b72b3ce728c

Observation e1bbe5de-e55f-4f3e-9871-1d6820e88789 · outbound

This paper cites Bartscore: Evaluating generated text as text generation.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Bartscore: Evaluating generated text as text generation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.772255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.569694Z digest=sha256:eba01b87717c7bddf7976181678223f529cd8f69d93295d1b01eb0e2906ab5fe

Observation 0993dd2c-5b40-40b4-ba61-ab61612eade1 · outbound

This paper cites J., and Ma, Y.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach J., and Ma, Y

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.762537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.572800Z digest=sha256:4c6c22517c6cd4c5f2c758e4a724b171c12a968a9828e035f9ac03e5fd1a4d2d

Observation 80bdf995-892e-410b-b130-73aed7171a4b · outbound

This paper cites Q., and Artzi, Y.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Q., and Artzi, Y

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.753047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.575614Z digest=sha256:81db5d8da8e59ad444acd13215616af2417cbc9b690b4e97d7f54d3b6e9e0c86

Observation f8263fc8-0269-4b0f-913b-db250b239418 · outbound

This paper cites On the Out-Of-Distribution Generalization of Multimodal Large Language Models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach On the Out-Of-Distribution Generalization of Multimodal Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.578529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.578529Z digest=sha256:42c94dea5f8d2a32517595c555e199410b0d1fff19161f906e79e6fe0bf294b6

Observation b0217c10-9445-4a76-a337-5cfeb598707b · outbound

This paper cites Why are visually-grounded language models bad at image classification? Conference on Neural Information Processing Systems (NeurIPS), 2024 b.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Why are visually-grounded language models bad at image classification? Conference on Neural Information Processing Systems (NeurIPS), 2024 b

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.743393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.581740Z digest=sha256:902447d42188ec84247184ac6656fab01a9b794e9432420cdbc2f9d9e4af203a

Observation 4a9de093-9523-4ed9-b828-7108383240f3 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-09T18:37:22.584434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:37:22.584434Z digest=sha256:570b2eb64b55fb35dcb70e67043a68dd3dd26564302e4dbc49579cf373ee61f3

Observation 85a6fae4-c831-42ea-9361-3579b660e8d2 · outbound

This paper cites Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:37:22.626485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.587411Z digest=sha256:b145f66382a474eeb0dbb27e8730884cce385c7f7aee99d7e94b5671dc54d092

Observation 295e550e-b6f7-4238-8dee-f701e91defc1 · outbound

This paper cites Mini GPT -4: Enhancing vision-language understanding with advanced large language models.

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Mini GPT -4: Enhancing vision-language understanding with advanced large language models

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:37:22.727739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T18:37:22.590578Z digest=sha256:e28771e9ae8c76f16ce6e885baa089c8f1291017afcbd72a4d0be6d6db19b149

Pith citing papers

Observation 4156a342-abaa-4fcd-a198-11b220ee5573 · inbound

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation cites this paper.

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:20.666732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T02:11:19.672753Z digest=sha256:9e1e9a2073646cca75d105e29c89f222b1cd29d6c88b84e87334a2aa3d85d691

Observation 1a676061-af5c-4753-8f4a-f4775b23dae9 · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:41:05.837033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T01:14:16.831333Z digest=sha256:f23cb98a54f5f5daba9895ac5d2148d51c786a07f70b2414a7fd88c21609d194