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Paper Citation Record · LEDGER

PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 21 inbound Pith citation observations for arXiv:2505.15929.

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

pith.paper-citation-record.v1
2505.15929 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:57.037860Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:28:12.530736Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b78bea23-a898-495a-a75a-02d8275f9a06 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

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source=pdf_text observed=2026-08-07T15:14:53.172403Z digest=sha256:3cfaa5f69aa17954a04b41307152a86abc394fc48282d77715d3ff98191fc050

Observation e439b333-c5b5-47e5-949c-6a3e219cbc35 · outbound

This paper cites Learning to reason with llms, 2024.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Learning to reason with llms, 2024

Reference 2

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source=pdf_text observed=2026-08-07T15:14:53.227633Z digest=sha256:c06faee71d26704203b129fddf6420fdee5788fd6c5bca1c181cc67bb2e0a5af

Observation 342e293d-ee0d-400a-a6b4-b4fb22d5bfad · outbound

This paper cites Gemini 2.5: Our most intelligent ai model, 2025.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Gemini 2.5: Our most intelligent ai model, 2025

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:53.341724Z digest=sha256:f02b2e664538e22eb93fb141b56aa78614689a559e46ec7e2545a76cdf45b5e0

Observation 7d84655b-da3d-4951-ab26-7b3b63fefe14 · outbound

This paper cites American invitational mathematics examination - aime.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? American invitational mathematics examination - aime

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:53.473103Z digest=sha256:dd1070ecaa230c744bd990b1b16a31f4706bcf787739c6d3f39fb33df7d48425

Observation c423dbb0-026c-4380-a740-a45068e7d3a1 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Gpqa: A graduate-level google-proof q&a benchmark

Reference 5

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source=pdf_text observed=2026-08-07T15:14:53.550019Z digest=sha256:051a4f96d0bc83b4fefd2225da1a71b374ee2bb257dcbba5ba46f3ffe6633520

Observation ba5a286c-63f5-4d83-80b9-b4fd5e146d0f · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

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source=pdf_text observed=2026-08-07T15:14:53.682355Z digest=sha256:1fe9de4a3bd185e9b5d8517e7dd61d320fe69633fe42b445f8f00b2c3cb7931b

Observation 59fca484-3380-4201-ba96-2e74633c2571 · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems

Reference 7

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source=pdf_text observed=2026-08-07T15:14:53.785407Z digest=sha256:867797746384621757b3a245175dfda9710cba2b12ee719a30d2364976acacae

Observation 8fca1732-8627-4f21-b35c-00e169bd1008 · outbound

This paper cites GPT-4o System Card.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? GPT-4o System Card

Reference 8

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source=pdf_text observed=2026-08-07T15:14:53.892671Z digest=sha256:5934ff59c47c080ac56b8cfd32384a11339b73959dd1b7fc8fb810f8f7547833

Observation 49c39363-4f9f-4016-be48-fb11d45197a3 · outbound

This paper cites Claude 3.7 sonnet and claude code.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Claude 3.7 sonnet and claude code

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:54.003527Z digest=sha256:7f4570d33c0e19cab18def3ef264870e0aa164392ba9c7ec1474e8e133b9f348

Observation 196d1414-60e3-41d3-b848-b65565fa48e4 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 10

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source=pdf_text observed=2026-08-07T15:14:54.108112Z digest=sha256:ed6d94f47acffe48b564d165ea4871c0d2533b51789d4d1258b567f135b11812

Observation 9810b2fb-2944-49ea-9569-36016ac74b9e · outbound

This paper cites Measuring multimodal mathematical reasoning with math-vision dataset.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Measuring multimodal mathematical reasoning with math-vision dataset

Reference 11

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source=pdf_text observed=2026-08-07T15:14:54.208859Z digest=sha256:b71714e5ddd4f187b599afcd3634f4c113bff61977fbe95423b841b2907dc0c0

Observation 491d8f14-3f91-447c-9efc-cdea6ad77611 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InEuropean Conference on Computer Vision, pages 169–186.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InEuropean Conference on Computer Vision, pages 169–186

Reference 12

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source=pdf_text observed=2026-08-07T15:14:54.301594Z digest=sha256:657ab0786ec1fe4c9f5954c28389d2b44d1ce8bb21c74eb2ea09be80ca3d8230

Observation 3a3fbdee-2739-43d7-923d-d88dd32a368e · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 13

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source=pdf_text observed=2026-08-07T15:14:54.398188Z digest=sha256:ad7c4d7d125f00f8940cb5eac22d5d8ffeef3bb6925d10ec499ccf2f5e4aeaa9

Observation 3e72e41a-3861-42b4-b98c-1fab90fbf033 · outbound

This paper cites PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models

Reference 14

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source=pdf_text observed=2026-08-07T15:14:54.491719Z digest=sha256:ca9997b9a81420f06fba402d3a16499cebe7c93bd8d2b0e89c57dd3a045192ab

Observation d2102773-696d-4bef-a826-ea06e5e147db · outbound

This paper cites UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 15

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source=pdf_text observed=2026-08-07T15:14:54.586721Z digest=sha256:8aa883bd9b4cc0ac37a3b60cf44904d23e04cae99bb3c783581e91c2d7904ca0

Observation 8db1e2d3-3e8a-43f8-ae89-ae5b70f04e1b · outbound

This paper cites Introducing openai o3 and o4-mini.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Introducing openai o3 and o4-mini

Reference 16

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source=pdf_text observed=2026-08-07T15:14:54.682206Z digest=sha256:ded9723b2874bd96228179838cc5807641cf9f3a100616c9d0e71e5a7d534954

Observation 38577cbc-db51-4260-b7d6-3b10140ddb79 · outbound

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

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? LLaVA-OneVision: Easy Visual Task Transfer

Reference 17

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source=pdf_text observed=2026-08-07T15:14:54.764926Z digest=sha256:5485afb914d8dcd3b13ea1804f70e47189d2cac03de5420db91eacb19376aa08

Observation 6fa76702-21c1-4f01-8b2a-ed31e90f6b6f · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 18

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source=pdf_text observed=2026-08-07T15:14:54.840336Z digest=sha256:e4d32928c15eb670412e1b8a62345e43d79cd84fa626197dcfdb64777015337f

Observation ebcbea2c-0144-46ec-ab4e-6e7abe88e44d · outbound

This paper cites Introducing claude 3.5 sonnet.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Introducing claude 3.5 sonnet

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:54.913566Z digest=sha256:34a59f6f13a72f404d60a459474476f43bdd4bec714fd171fa18f53f9d7ee6d4

Observation a56434c2-40d3-4019-b3b9-082b72123f3d · outbound

This paper cites Claude 3.5 haiku.https://www.anthropic.com/claude/haiku, 2024.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Claude 3.5 haiku.https://www.anthropic.com/claude/haiku, 2024

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T15:15:00.055321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:55.034572Z digest=sha256:4d3bb7d4b2e20717f20eda28be0b5a3d41a819a5a1eb11151c4345e73e37b176

Observation 3ab6f159-b65f-4550-b531-c09f3494b5ba · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 21

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source=pdf_text observed=2026-08-07T15:14:55.105060Z digest=sha256:83a9729f08232dc6fd7c84c39c4362bdb481da4489464bd8a7a09f2c16018039

Observation 4c368113-baa1-4de6-878a-5589374f730c · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Yi: Open Foundation Models by 01.AI

Reference 22

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source=pdf_text observed=2026-08-07T15:14:55.183191Z digest=sha256:1001abf7ce40ba9eda833df71b02fb7166f146212671b73f60bfb76f73c9edf8

Observation b82ef62c-4407-4bd9-83b1-85d85be5d61e · outbound

This paper cites Openai o3-mini: Pushing the frontier of cost-effective reasoning.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Openai o3-mini: Pushing the frontier of cost-effective reasoning

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:55.276917Z digest=sha256:fe83441fd1bcbc9c7212982dcd16f06d754eaff2b3088bb7f6134bdc2dd06c6b

Observation 28f1fee8-e79c-4a71-ad8f-cda74c241df1 · outbound

This paper cites Deepseek-v3 technical report, 2025.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Deepseek-v3 technical report, 2025

Reference 24

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source=pdf_text observed=2026-08-07T15:14:55.372041Z digest=sha256:d8aeffc5705c93cf309224e1664fe410cb0eaf5066d033fa9001c96db226703a

Observation d9526ef2-9bd6-4d9e-82b5-dec58b7863f2 · outbound

This paper cites Qwen3 Technical Report.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Qwen3 Technical Report

Reference 25

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source=pdf_text observed=2026-08-07T15:14:55.448093Z digest=sha256:fb6af8db8dd36fb0024fcca3490297602f08a35cff39776362de6ea7093d02cd

Observation 417d3b3c-a457-405a-bf78-67bbd79914f2 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Chain-of-thought prompting elicits reasoning in large language models

Reference 26

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source=pdf_text observed=2026-08-07T15:14:55.535619Z digest=sha256:33dac3636c107fc526748f579cb99e8fa1e2c9e458e32d839d386adef5c4502b

Observation 56227b98-185a-4490-8e32-cfb6d7c01eec · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 27

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source=pdf_text observed=2026-08-07T15:14:55.607028Z digest=sha256:0ca5b94f218db11aafcf07ac8729507123284fbb56ee9cda4fe74efb157768a2

Observation 51c24429-4c24-433d-add5-23193643f2a3 · outbound

This paper cites Measuring massive multitask language understanding.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Measuring massive multitask language understanding

Reference 28

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source=pdf_text observed=2026-08-07T15:14:55.680430Z digest=sha256:8671bf7f4d701c6801b6524b6f32afa56d1be1986f2fb87b303c66a9c8c499cb

Observation 353c7c39-5d72-4f08-98e5-e3a3f709d3e1 · outbound

This paper cites Scieval: A multi-level large language model evaluation benchmark for scientific research.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Scieval: A multi-level large language model evaluation benchmark for scientific research

Reference 29

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source=pdf_text observed=2026-08-07T15:14:55.745978Z digest=sha256:fc6c9ca2b2f0c9f16d47b88ce4ab89606e0c2ba4c63bfc4d5191cbda1f0043ea

Observation 6453fee3-6666-4f2f-8ea4-f1d52092ede6 · outbound

This paper cites Program Synthesis with Large Language Models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Program Synthesis with Large Language Models

Reference 30

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source=pdf_text observed=2026-08-07T15:14:55.833719Z digest=sha256:8d82c5b0e43b9dce1ad14bffe100ef3d22aa6f7ce928ffaec3711e046fc49afa

Observation 0ebe90c6-13d5-445d-91ac-aa35e7760cdb · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Instruction-Following Evaluation for Large Language Models

Reference 31

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source=pdf_text observed=2026-08-07T15:14:55.925173Z digest=sha256:30781aed1fabca0c6fe5842f928b9233e3609ca80d52d1377871390f8f34ef00

Observation a9242a5f-d9ed-4640-8c12-b6d50d3c38a5 · outbound

This paper cites Scibench: Evaluating college-level scientific problem-solving abilities of large language models.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Scibench: Evaluating college-level scientific problem-solving abilities of large language models

Reference 32

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source=pdf_text observed=2026-08-07T15:14:56.021214Z digest=sha256:7616c6ad33eb5707aae228a9d4871ecf7d2d0f10fb52d3894fd2692f444caceb

Observation b7317400-2081-4cbc-bda6-10299aed3255 · outbound

This paper cites Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent ai.Advances in Neural Information Processing Systems, 37:19209–19253, 2024.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent ai.Advances in Neural Information Processing Systems, 37:19209–19253, 2024

Reference 33

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source=pdf_text observed=2026-08-07T15:14:56.095293Z digest=sha256:a4007e355a83d0b7e6201ad3e03c54aaaa85da06b5fa072e081b06b0b3ec8c27

Observation e334986c-2ad5-4c0b-b2e9-bd3c3f83957c · outbound

This paper cites PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning

Reference 34

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source=pdf_text observed=2026-08-07T15:14:56.170429Z digest=sha256:049f7183447ce0b23a6eba23ae3f6af405766d19ceabb420deff16283400338d

Observation 3269c397-9cf3-456c-a0c7-69b46502952b · outbound

This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 35

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source=pdf_text observed=2026-08-07T15:14:56.253584Z digest=sha256:947a050db71c75c1f8c04c5538026483278cb6d34d145e690ec27baef242f39d

Observation b07447b3-6197-4901-bc8b-50fb7e15361b · outbound

This paper cites Translating the scenario into a physics framework.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Translating the scenario into a physics framework

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:59.306780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.348942Z digest=sha256:9008bbc4ed561813cb618859632a7cea0e926ca59262b78a8496a63c6232bd44

Observation 6d86d93c-7f94-4d2b-b685-885d2d5aaba8 · outbound

This paper cites an unresolved cited work.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:14:59.037284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.431221Z digest=sha256:43bd146a705d26334d1206665ee3b5f4dca029ac1959141b21597f9704f9defc

Observation 700c6948-1d2e-4f32-8f2e-c6c96ea36ea8 · outbound

This paper cites an unresolved cited work.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:14:58.719696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.542339Z digest=sha256:85a2d7e42e1073b642f64a1bf3480bb6ebb3c05ff4a3ae1b87505029b47d90b2

Observation 22a7c545-a912-4e4b-8d14-7de2607fe1d2 · outbound

This paper cites starts from rest.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? starts from rest

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:58.616582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.633431Z digest=sha256:88f7241e3e91ea7f0c54924db345c2a1f5a2dee70f6d3a9ec0288687ca00f100

Observation 873f9bb7-fbae-492d-b335-ef490f7e1590 · outbound

This paper cites Do *not* select this for basic algebra or substitutions.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Do *not* select this for basic algebra or substitutions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:58.329141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.699566Z digest=sha256:0424d9a025584d398493dc34fda3fb0b1c30611b11fd1cf558506580c26cb3dc

Observation 17940a5e-f2b7-40cf-bbf3-2a8ca1160b00 · outbound

This paper cites Figure 20: Prompt for reasoning type labeling (1).

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Figure 20: Prompt for reasoning type labeling (1)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:58.071820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.747752Z digest=sha256:bdb92ad6f1be161854870820ac73a07bbe4ae2698fb51fd711c1b2e7eff49e47

Observation 55cec69b-375b-461f-ba78-cfb094c52015 · outbound

This paper cites an unresolved cited work.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:14:57.892808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.819169Z digest=sha256:061637eb0fba60e209585817154c9f6aea1d6f21cc412ddd5a3a3b3eae93b20b

Observation e804b8c7-643e-4645-8e79-5b7957e8cb64 · outbound

This paper cites an unresolved cited work.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:14:57.792543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.874310Z digest=sha256:ceed9f5b37968f64b95fa6f2dd3d7159fd06707089c4238479d36a4f980af472

Observation 94aeca16-0916-46da-aed1-665ba809d7c0 · outbound

This paper cites most critical.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? most critical

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:57.659245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:56.965308Z digest=sha256:986480beb4149038e4642a2658de155606909086cf77a0ee244c744c7e4d8f5c

Observation be59038e-6429-4eb0-8404-23f0b87792d2 · outbound

This paper cites Reasoning Type A.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Reasoning Type A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:57.557568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:14:57.037860Z digest=sha256:195561d55f3084c4fe6fb9bb29760eee85f048f57c8b6efd99ce8afac26503ed

Pith citing papers

Observation fdc52470-24ca-4de1-b926-102f689a3f5a · inbound

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS cites this paper.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:28:12.530736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:28:12.530736Z digest=sha256:a495c07089de4acf75a9bee6d4944c781f10272c1846d5479d571270dd597872

Observation 741a7c8f-3484-478d-aea1-29d25bd15b1c · inbound

Skywork-R1V3 Technical Report cites this paper.

Skywork-R1V3 Technical Report PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:04.701180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.701180Z digest=sha256:ab9e0dbf5727a6d8f74c32e51e6b740a90440e2335a37b86976408cf39c2f12a

Observation 91ba5e24-d32c-4567-b23a-686da8c70b63 · inbound

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning cites this paper.

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T23:27:34.265510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:27:34.265510Z digest=sha256:c6bebe85919e358728d4fa69f6e1334c653deccfb558e7097faac065c273d849

Observation 4ac48a2a-0bd2-4f68-a25c-596d10439f3b · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:39.420528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:39.420528Z digest=sha256:f5c0d7bef2b2069d9f26be92c19394a82d080e8b8e9bd439cb40ef8913cdd708

Observation 868c8a6e-4262-4fed-ab85-efd457621413 · inbound

Inferring Dynamic Physical Properties from Video Foundation Models cites this paper.

Inferring Dynamic Physical Properties from Video Foundation Models PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:11:14.096550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T10:08:11.191706Z digest=sha256:cffcf2f7b3549bdbcea62ede3fabd8b6ca2d6fe84e2af577e6fd907290228da2

Observation 38ad7694-9219-4ab2-8b59-c56bba7f63b0 · inbound

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction cites this paper.

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:11:27.505440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T11:06:38.102348Z digest=sha256:3029b0d2b85831aa61e29525d7a1fa002a246b923ad01b40bb47f08d039f9814

Observation a8d11a44-413c-47ea-a30f-3cebca5b4d17 · inbound

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding cites this paper.

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:15:21.101689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T09:11:31.870441Z digest=sha256:f5d734ef7137e97063143da5946d3c718799ab5033716c27f2d1c7c5103545e6

Observation 035ed2b4-6d55-4ed0-b8b0-63c4421b7e94 · inbound

PolyReal: A Benchmark for Real-World Polymer Science Workflows cites this paper.

PolyReal: A Benchmark for Real-World Polymer Science Workflows PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T19:58:12.232094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T19:55:17.366868Z digest=sha256:aabfca500968db89d503f2b6841377dbc8654d24d092f1f1b51920f3ec99cc54

Observation 68833faa-6deb-4709-82af-4218bd393979 · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:52:59.446548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T16:51:48.705876Z digest=sha256:a56ec0eb45e75ea6f8f8bc227a1d8649a68def411fb68104f374c27fe1226c59

Observation 9dd3a8c7-b484-43e6-8630-cdb80d5a7dad · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T12:10:53.720348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:10:53.720348Z digest=sha256:2931b80faccb0b0302ad711f2c01c885add4f470a8c2b6e3d723abfe0ca533f0

Observation e33051bc-114d-448f-ad79-29b080411f5c · inbound

PhysInOne: Visual Physics Learning and Reasoning in One Suite cites this paper.

PhysInOne: Visual Physics Learning and Reasoning in One Suite PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 76

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:25:59.545068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:39:48.066744Z digest=sha256:8131ce1432ab7a8804910ca70843e0f830ef0717f9113bd3ba853d4d19feb820

Observation 90055d17-19b7-48e2-b39b-79839f2d40ff · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:25:59.180465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:03:15.222571Z digest=sha256:78350ae0ace931ce35785a9aaea7895aaee1aa1b903886b24707b5eceb6f456c

Observation 740148db-d5d4-41b3-a21c-1f7bbcf42dc2 · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 116

Resolution
unresolved
no resolver link, observed 2026-07-12T22:48:45.647588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:48:45.647588Z digest=sha256:151098d333bb87a4bcff202c4bb8e992b70b95a4f5254c7ce022a566e7c0df3c

Observation 4b4cf8a9-f287-4295-af72-d4a28ac01331 · inbound

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models cites this paper.

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.035739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T10:58:30.370708Z digest=sha256:5aaddeb0345a77acd80761bc6070c49b81e129562f718c0bfa60bd1c4d53b52d

Observation 8b18e02c-a0e2-474c-82c5-d639379b8bda · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:36:26.039156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T05:07:39.571227Z digest=sha256:357351e4fb2b2307f22993062cfcd63cef708bd7605ce169a1ad2fa98bf30623

Observation 0814e9b9-b137-4bbf-8273-b7ae11975067 · inbound

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning cites this paper.

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:47:33.358872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T07:43:50.633779Z digest=sha256:b2e55df569a60e6d450342731961a887c66f52b1c1c665f2842e51e626669bf2

Observation f0c2c97b-38a1-495c-8aac-8b4e8d8b2e6a · inbound

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity cites this paper.

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:07:17.464956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-02T18:57:46.841456Z digest=sha256:8bd276c1ae29e59c774f09d0ed54a0ba365c0bd8ac31c5ff6902ba58a2518f70

Observation 123eda83-65c0-461a-8984-15adb5478dbe · inbound

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T21:07:27.212233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:07:27.212233Z digest=sha256:0860befa1c80161a7ff1cf065f0ab42ea625e3f37e21f40b8ed6b0927b0e851a

Observation 6d9e5ae1-5605-4136-90cc-9166c81369af · inbound

Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation cites this paper.

Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T20:16:17.037719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:16:17.037719Z digest=sha256:8973664d80069b7563b4efbd5e71f441b004f7566791a076236aa295ecf65404

Observation ce460896-e6f5-4cb4-a343-8b5b2fdb2344 · inbound

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning cites this paper.

Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T11:47:26.156753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:47:26.156753Z digest=sha256:9afbc957ee6c836bff2457a1695f8c33297185103c7c1c9867840470fa181e27

Observation 6f8d2294-ff27-4414-8eeb-3f337f4b4874 · inbound

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models cites this paper.

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T05:01:28.195478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T05:01:28.195478Z digest=sha256:6b13ba60fdcc6e40af15e710054453b9427a7d4daa29ea84dc6e05d37d8f93eb