Paper Citation Record · LEDGER

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2412.13540.

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

pith.paper-citation-record.v1
2412.13540 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:06:05.361783Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:59:28.143143Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:40:58.082760Z

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy1
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0b64821-21f1-4a2d-bf4d-4975c4bd173b · outbound

This paper cites online" 'onlinestring :=.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:05.155478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ece96f-74fe-4b5e-a5ac-72e4c9f7d444 · outbound

This paper cites write newline.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:05.160717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8ad8b8-1490-467b-bef8-74891ae02f8f · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T13:06:05.531000Z

Source-reported events for the cited work

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Observation c415a1b8-6f9c-40a0-84e6-dedff9162f6e · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:06:06.349536Z

Source-reported events for the cited work

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Observation fefaee8a-5f13-42cf-ab50-615b69fca54e · outbound

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

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:05.175354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2ee92d-90b2-49a7-9391-1e2576ff6f4a · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae90d98-5b94-4ef3-a6e8-90c9bfb42584 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T13:06:05.516215Z

Source-reported events for the cited work

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Observation 1f55244a-1dff-42fa-b3c7-a57eccd79f9f · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:05.189248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e6e16e-12d2-4d17-9884-d8abe65c7f36 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 9

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Observation e0330989-3435-4a80-a926-a7b7c3736ff7 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation a9a96c77-80a8-4aee-96b1-dcc14f997ac1 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 851fd589-97b2-4be4-bfee-9dd000def835 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 0c5c3514-b454-4ea0-ace4-e3758bafacfb · outbound

This paper cites Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning

Reference 13

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Source-reported events for the cited work

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Observation 09ef2d7f-81e4-4bb3-91cd-26284a77bc71 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b593d02-2620-4ee1-a3df-a9daceebbb07 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 0951bcb4-2430-4566-abdb-e89a7166458f · outbound

This paper cites Large Language Models Are Cross-Lingual Knowledge-Free Reasoners.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Large Language Models Are Cross-Lingual Knowledge-Free Reasoners

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4640a8d-8198-4f88-9bf7-2dd7da615c9d · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ca1c2a-cd24-4645-9bbf-26070bdd2d39 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:05.241791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812a7e48-71d0-4a0e-bf51-5f28f034c6bc · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 20

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Source-reported events for the cited work

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Observation aa658bcf-0e45-431d-8514-d1244ea9801d · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c146ea4f-718c-47c8-9bbc-c0fa0dbf233e · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 12899ee2-1640-473e-9f13-4ccdf48c2a12 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 23

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Observation eb1825ca-8701-42f8-9d45-0bf9e431713f · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 24

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 25

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Observation d80c0aea-f929-415d-9b21-e5395a06b6a8 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 2ea82d55-e2f0-4eea-8b79-50459516c335 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Melo, Ana Paiva, and Danica Kragic

Reference 27

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Observation 943a7003-d8b5-47d1-853d-b3f414e5a7ca · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 28

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Velimsky, Robert Els\" a sser, and Bernhard C

Reference 29

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Reference 30

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Observation 4d33372e-7b58-482f-9de6-46c27e7dd07f · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 31

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning GraphArena: Evaluating and Exploring Large Language Models on Graph Computation

Reference 32

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Reference 33

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Observation 5fdf3641-f15a-4bb3-a5ed-e777628e2971 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 34

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Observation c32babc7-5d74-4559-a164-2be010aad900 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation 0d145824-ebe5-457b-9316-df8d59d70ef1 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 36

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Source-reported events for the cited work

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Reference 37

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Reference 38

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Observation 8fea1a0c-a3e6-44a7-a5fe-185f406db8e6 · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 39

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This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 40

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Observation d54f8523-9fd2-4c2e-9688-cfe3e8c2a10c · outbound

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Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 41

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Observation 5eb30745-0155-4c61-890b-54bfe2f39bc8 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning Unresolved cited work

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 099b569b-d471-4dd7-98eb-d28046c78c52 · inbound

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation cites this paper.

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning

Reference 2697

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Source-reported events for the cited work

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Observation 450120ed-bfc4-49b7-80f7-3b98e6bdb5e7 · inbound

Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning cites this paper.

Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning

Reference 42

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Source-reported events for the cited work

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