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Paper Citation Record · LEDGER

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.00991.

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

pith.paper-citation-record.v1
2506.00991 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:23.813168Z

measured 49 of 49 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

49 of 49 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75de73e0-4ef0-4608-b89b-2c82480c529d · outbound

This paper cites INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:21.444549Z digest=sha256:2ff0c6dd6028851f416ba10848bd166f4f8d9be78f79f69b8bcda4eb574dc69d

Observation cbeea8c4-3873-4d68-ab10-b5b52f0260d2 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:21.542457Z digest=sha256:199bc4f9687f7816666f247126257b8efae1a2fcaa88f47c0c5d1b987f0ecfb0

Observation 3aee32aa-315c-434a-bc53-2130c1bf840d · outbound

This paper cites Qwen Technical Report.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Qwen Technical Report

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:21.690031Z digest=sha256:8b2701f52ecdce2f8359b18501362ddb5081618e9e56ece2ef39d39f0d084d61

Observation 5b3bceb4-bfae-4fed-a89d-80a6f6dfa5da · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 4

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:55:21.882413Z digest=sha256:42693dee3aa254bf3c5b737aa7ca2c1648a9c49c63aad51ab1ff05106e31f341

Observation 739dd308-94bd-41ae-920a-d8a164809f42 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-07T11:55:22.074429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.074429Z digest=sha256:64c9242fc5977d8d1a9bc8aadc293cb0fa28910224d6c6dd53cdf862da6c41a6

Observation 560d1f71-bebb-409f-9a05-5dd50b484d19 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.217598Z digest=sha256:c8f65294d097ceb72c9ec0dac31f6214345b1891fd4039363d81f277ba5fa8b8

Observation f31ac5c4-621a-4222-b920-3fad0a1866de · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-07T11:55:22.317478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.317478Z digest=sha256:01d396e35e25f32e099880b0c18269dc3fe3966ca36a3d663f645b9d2edbb376

Observation 7230ae3c-1cea-4a47-b71f-d48c68157952 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.439885Z digest=sha256:dfe5d664ae7fb4941987ba2f0414cfe607f719d35af4bcd4cbb793f8f5ed1296

Observation ab8e573d-873b-48be-9752-18db9539102f · outbound

This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.577645Z digest=sha256:9954e5a16abcc5a44045de790ae305f3e354016af476ebc2285a1eeee404eb0d

Observation 034dfe7f-12e1-441d-938c-625749f617b6 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-07T11:55:27.555834Z

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.

source=pdf_text observed=2026-08-07T11:55:22.687250Z digest=sha256:ae93453bb3386916931e7f5c276c326af8ec012ad64cf160be9b665b7af775cf

Observation 7b98a1a1-990d-4a26-bef6-0e0e0399cefb · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:55:22.794829Z digest=sha256:b824dedb754cec26a0858ec684cde643dd38fc0c31461407a6f2e76fabf69d2a

Observation 0afc2af1-a090-47bd-b444-bb2a2ea19321 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 12

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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.

source=pdf_text observed=2026-08-07T11:55:22.914833Z digest=sha256:735ae62e0e65c28cd835f9aba88018b603807d56e3d4d87f81f932f5a868e002

Observation ca2a8551-2e2a-4c72-8dc0-4e9f244b3bbe · outbound

This paper cites LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.056581Z digest=sha256:8e0a266b24a9819d139370005e305bc51702890dd0cfe41d773d72d786f1afcf

Observation 5257ebcf-df47-4210-9a07-9265c0d80240 · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 14

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no resolver link, observed 2026-08-07T11:55:23.187041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.187041Z digest=sha256:4ee35303f0a1559b35aece1cdf97eeeaaa528e405c4b077aa387823cd5fb2c41

Observation 8824123e-c79d-4469-be14-d9f2bf90e14a · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-07T11:55:27.220602Z

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.

source=pdf_text observed=2026-08-07T11:55:23.355822Z digest=sha256:3f05b22d51a9bc26bd9b1ed489c463d63bb7d1a4b4e6e937e160dfdeebf1d339

Observation 4f089d59-e8ff-437f-8cda-a6149121c462 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-07T11:55:26.928419Z

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.

source=pdf_text observed=2026-08-07T11:55:23.534867Z digest=sha256:a9c4ce7e7a82679be59580647e0dca05718206f6c581fe1b3fb4e8d4999d456e

Observation 8d794475-5b78-48a6-9ad6-cbca8d7d57bb · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs CogVLM2: Visual Language Models for Image and Video Understanding

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.590215Z digest=sha256:898d95266d4d5e893289bf5a8a4714f5d27344940715480ae2cb8cdd8588ea5c

Observation 96205219-279a-4e2a-9b2e-f2dfc8d83235 · outbound

This paper cites AutoVFX: Physically Realistic Video Editing from Natural Language Instructions.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 18

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source=pdf_text observed=2026-08-07T11:55:23.607708Z digest=sha256:23c5d06b894b65bca4552082e06df3099d0bd27af4dea2f2bb5e0560c4e21042

Observation 6c3de4c6-4853-4310-8db8-08a0e2b10de5 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-07T11:55:23.616553Z digest=sha256:ad4c0e6ee1cc2baeb64db48cd73d6f5832302eac5881f83c6e26de66b4de99aa

Observation 4275776d-4536-4cde-952d-acc26d9f7a29 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 20

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:55:23.621859Z digest=sha256:56256d3d60539c2bb895f30678d6c87826fe8a640998908776be1b621ad39635

Observation 6edae006-e232-42d3-9b6e-81b1bd8e13e4 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 21

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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.

source=pdf_text observed=2026-08-07T11:55:23.628214Z digest=sha256:5c6ed61941564d6428af04922d80bd57ff03e74c19a767e0b8d8bcdfce8ed10a

Observation 2d44378a-59db-476d-9b05-be5ef96a5df9 · outbound

This paper cites LLM-Assisted Visual Analytics: Opportunities and Challenges.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLM-Assisted Visual Analytics: Opportunities and Challenges

Reference 22

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source=pdf_text observed=2026-08-07T11:55:23.635474Z digest=sha256:debccc0334c8de4ac2dbc24bf7e9edaf2433187a31bc36ee26ab169c1863f3d9

Observation 13527fbd-0e65-4854-99c4-23413ff52153 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 23

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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.

source=pdf_text observed=2026-08-07T11:55:23.643433Z digest=sha256:fca4f2ecacd03602d0247a84f84977f301649f6548721abbdc9bf624663888bb

Observation db576aa8-4c8e-4069-951d-180da0728f5b · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-07T11:55:25.860422Z

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.

source=pdf_text observed=2026-08-07T11:55:23.649943Z digest=sha256:4ceb72247135c9118484e171e6bb50b953f2984cda1e187a9fa96349c6ea809e

Observation 131de6de-3392-4fe2-a88f-856467737f7b · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.655919Z digest=sha256:404e4aa0317d68d9aa5caa48c06a59fd6d51c1828e19295dd580b1faf7d58317

Observation 857c2978-5835-4d80-9574-b131dbc86a21 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-07T11:55:23.662094Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.662094Z digest=sha256:5570410f4193ddae9ca8fe0f04513ad91524b8db56582c15cdb502f196f98801

Observation 5601e2a7-2844-46bf-9e01-bda663249c7b · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs One for All: Towards Training One Graph Model for All Classification Tasks

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.669030Z digest=sha256:93122500afda79fff0fe171be027e063e9fcbd6be91a1614d3e2beee96880d71

Observation 3cbc45e0-2484-4fbd-8186-a200f48d3512 · outbound

This paper cites Visual Instruction Tuning.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Visual Instruction Tuning

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.677172Z digest=sha256:857241fc3e24d054ff1ee8adc9fc6f8a266bb06a4870f2ef3ccbdb315f04173c

Observation f89ced25-3f7c-42e7-9c4e-d59866ba5042 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T11:55:25.677781Z

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.

source=pdf_text observed=2026-08-07T11:55:23.685349Z digest=sha256:66cd949628406eeb01a71de2bb44cac086df46c087f4484b842d47e8778d9968

Observation 6611659c-99b0-47da-bf42-feb0a98d754e · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-07T11:55:23.693171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.693171Z digest=sha256:6a24597ea8ca3b13892a993d2251245dd452df8327c97eb78a1730cb3cfc42ae

Observation 5c10ab9b-7207-44a0-b710-b1ec91a7e84f · outbound

This paper cites Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training

Reference 31

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no resolver link, observed 2026-08-07T11:55:23.699416Z

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source=pdf_text observed=2026-08-07T11:55:23.699416Z digest=sha256:8c9baa26da44aa8436cc8a499183fbd5513be61a4b709c72968ad0235e572cc9

Observation 6d19a20d-a366-4f75-8608-4d049f129326 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.707386Z digest=sha256:9c02c55466ca69872c4321da27cd2551c1767b033bf1b77c5d8e3ad8c764c834

Observation 2aa36ee9-1569-467b-add6-f5f8938c8819 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-07T11:55:25.428108Z

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.

source=pdf_text observed=2026-08-07T11:55:23.714325Z digest=sha256:bc93970aeb37f2b922f020ed0781563bdcfa58e3eb4e5074d00b25b088d013a3

Observation b9d6403a-7115-4144-a3ad-ffa4cb28d3a3 · outbound

This paper cites Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:55:24.099851Z

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.

source=pdf_text observed=2026-08-07T11:55:23.720648Z digest=sha256:6bbf88b7c5aeff7bf3cd9dfa41b6ed5343c6dd95b305cf862a4563ef1321faa9

Observation 391a81b7-71f6-4be0-928a-0a6835d9f718 · outbound

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

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.726255Z digest=sha256:933f19b076ca7b919ce5d1f0f68e547b03935c0db2ea9759bd9d59b5bf94274f

Observation dd315121-aa72-4e83-92dd-af6dad76dda0 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-07T11:55:23.734530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.734530Z digest=sha256:73b43a6487aa074a3805f015cb0341ef50569f7d2022e965a814479cade6c35f

Observation 9b02092c-d015-4e69-83bd-0a76d0158a7a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.742012Z digest=sha256:27f6f94d68767e22c7c6bb417a732f84ef168658a9b1d5c609eb2611e68807e0

Observation 9cdccee6-0251-4f8e-a12d-fcd22bb5f2b8 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:55:25.162119Z

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.

source=pdf_text observed=2026-08-07T11:55:23.748226Z digest=sha256:51049b95eb117b4bec6e42eb31f11938be659627a05def6f9bf292d34a2182ad

Observation c406a7de-dd54-4881-abf9-5296a69d2ed7 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.753222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.753222Z digest=sha256:614ad155c58c4f34dc8d882c9ac4ea3311719700ff9b69a68dc8db37ffd49b37

Observation b20bbb00-19d5-46c6-8ba0-5e3ffbe55cbc · outbound

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

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.759228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.759228Z digest=sha256:b34cf205381cebf43ed2f5542ede05a30b2ae6ee8ea4174678c0fe630d0ab976

Observation 22ee5733-0893-452e-af7c-2ad5276f4f5b · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Emu3: Next-Token Prediction is All You Need

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.765118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.765118Z digest=sha256:d3ca5251ea06f3278dd31d9439275d2eb90324a0f41b8382dcc60aff94b4ee61

Observation eb300b93-e05b-422c-b9ac-8fc0c0717996 · outbound

This paper cites LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.771326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.771326Z digest=sha256:70e774b5abcb2611f324e1d8dbe775e8d08d3c5dcd732ef74e2c843b93dd925f

Observation dd3a9d96-f805-4d80-8363-e46d6d86e589 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:55:24.921393Z

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.

source=pdf_text observed=2026-08-07T11:55:23.777949Z digest=sha256:c2643d744d211bdeca2ce77db1af272ba5c8f48627bdfea63ed5affba954158a

Observation 7f92eb6c-7988-41e4-8471-352ebeded44e · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:55:24.738701Z

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.

source=pdf_text observed=2026-08-07T11:55:23.783952Z digest=sha256:782efaa2f419723f1c3b45d35ca5579a2a13257ff178055e21528a9d0baf0525

Observation e55da766-29d3-429b-829d-06befce89e9d · outbound

This paper cites Simulation as Reality? The Effectiveness of LLM-Generated Data in Open-ended Question Assessment.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Simulation as Reality? The Effectiveness of LLM-Generated Data in Open-ended Question Assessment

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:55:23.899220Z

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.

source=pdf_text observed=2026-08-07T11:55:23.789104Z digest=sha256:a686e6d0a5e957d3b601267ecdeb58f364aeedd0b25ccd8b67d2aa9ea4debad6

Observation bbcc7bc8-cb9e-44ac-a60f-42f3e3da1c69 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:55:24.670930Z

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.

source=pdf_text observed=2026-08-07T11:55:23.795326Z digest=sha256:9357a87b6f05fc0693b2a67ae2012dd61b49772932d4b44bd18fe4a54f1ccf92

Observation 252ccfcd-63b3-470f-a272-09c8979bd5bf · outbound

This paper cites LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Grounding

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:55:23.873347Z

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.

source=pdf_text observed=2026-08-07T11:55:23.800463Z digest=sha256:96a1bcf978fd43b4279a2004b828d11a2e68722dbfdd59628797a904144e2b97

Observation 04860089-b6b7-4a6b-8ee7-e2ea6efa9127 · outbound

This paper cites Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.806316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.806316Z digest=sha256:a3d00db9423cd5773d2717dd45f261f7ab53722935a7924c4f41208a9cf6b3b9

Observation 1fb29b71-6aaf-48aa-8e82-0fe5d43fed01 · outbound

This paper cites an unresolved cited work.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:55:24.602202Z

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.

source=pdf_text observed=2026-08-07T11:55:23.813168Z digest=sha256:dee4c374e69cc1c88454fb56625be94846cc4fbd124f5e37d74915b313ecd2c7

Pith citing papers

No inbound Pith citation observations are available.