Paper Citation Record · LEDGER

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.18224.

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

pith.paper-citation-record.v1
2412.18224 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:59:40.093942Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a12ca233-a84d-43e0-8129-cf4e0d1198dc · outbound

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

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.940271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a104ab-71e9-4c69-ae84-22df2ea02b71 · outbound

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

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.947577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd6296c-12b3-4b62-937a-93348021ee57 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.953253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c6ef93-46be-4db1-8fc0-f0134ab71dee · outbound

This paper cites an unresolved cited work.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.959509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8056d1f-9c45-4b18-8b8b-dd4881d7635d · outbound

This paper cites Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.965663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b6a9f6-91a0-44f6-bffe-1aebd65ef34c · outbound

This paper cites Segment Anything.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Segment Anything

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.971453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb50f5d3-c5eb-4a1f-94f5-7c78f3f039c3 · outbound

This paper cites A.; et al.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules A.; et al

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.978402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5a35c9-b026-4bf9-b7f4-c0acf514aa0f · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.984505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537fc083-8379-4b40-998a-348decc9ae71 · outbound

This paper cites an unresolved cited work.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.991265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4212fd5-fa7b-476d-889f-a33958c21491 · outbound

This paper cites Visual Spatial Reasoning.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Visual Spatial Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:39.999600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26cc8a8-95f2-4d03-a0c9-b7f95cca870f · outbound

This paper cites an unresolved cited work.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.006951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c79fe31-5031-4125-9be9-95366177cbcf · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Improved Baselines with Visual Instruction Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.016681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a014e2-0da5-473c-9d64-f15ea89af49e · outbound

This paper cites Visual Instruction Tuning.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Visual Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.022890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5509f950-34aa-4863-bea6-4a349e03f997 · outbound

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

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules A Survey on Hallucination in Large Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.029055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b93937-8e49-4e0b-8f55-c452f26a8325 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules MMBench: Is Your Multi-modal Model an All-around Player?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.035011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d656d4-f509-4e4b-a15d-3ca5d9e54b11 · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.040560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd130baf-7745-49e6-a1ce-501512b0bbb7 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules DINOv2: Learning Robust Visual Features without Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.046035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae0410b-d515-45e9-8e77-1d61e6915e7d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.052543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f97423-349f-4132-a89d-00a828ac26c2 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Learning Transferable Visual Models From Natural Language Supervision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.058409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6034182a-5eaf-40a7-96ce-3fb835466e92 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.064297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525aad55-e554-48e1-abdd-d2b9dd3f2352 · outbound

This paper cites an unresolved cited work.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:59:40.507251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2aadb8f1-789f-420b-9028-e3c0f3345b5e · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules Sigmoid Loss for Language Image Pre-Training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.075766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbaed8c9-f12a-41a4-8ab7-b81e087a8482 · outbound

This paper cites MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.081757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8be22c0-5c69-4235-8daa-630f86303e3c · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules , " * write output.state after.block = add.period write newline

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.087657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028e6688-0528-4ea9-8c96-c193feeb210b · outbound

This paper cites write newline.

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules write newline

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:40.093942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.