Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.172403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.172403Z digest=sha256:e8cac79f12947324bf868ec3608d39f15af38dbf637c34db99c9989a23a746df

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.227633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.227633Z digest=sha256:fb60df58db00ac29c531d3548dfc41a7e740424544ec7e25106912e773fd690b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:15:01.088109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:53.341724Z digest=sha256:b7d1c9771863b1d6f0af702008de443cd22d6bb3cbaa997e1bdcb3c9afc0ce89

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:15:00.777714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:53.473103Z digest=sha256:f5cb920dee18770e44b858b3c009b8e3510e3c7471ac2d0c0cb8e39d978a3195

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.550019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.550019Z digest=sha256:3ab99c4cc0a70c06d75aa37e5f61c1af195ea598992f3a4354182576f8a845c1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.682355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.682355Z digest=sha256:d4276e804eb22f0e76f697c8de2784e9bf0102d590e6bd11b81f44e003113ca6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.785407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.785407Z digest=sha256:cc780f9bcb0d1f26a9aeceac46e745cd75aae95a9ea8a38e28a8e8174cb23409

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:53.892671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:53.892671Z digest=sha256:589eeb4bcf0fbe565e94803125bee1f7d67619a94c63927c602658406134d200

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:15:00.496769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:54.003527Z digest=sha256:2cc99e631081aed63820df530756888d1aabf99efb22a16475daaebb217a211a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.108112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.108112Z digest=sha256:c13beb2a9de47f2d79d809616d63fc989945a0ed341075eac24552002082000d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.208859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.208859Z digest=sha256:f1cdc24518d987566e135b4fed7153a169bdab472bbd2f78c7e68e159e8342d9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.301594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.301594Z digest=sha256:0975b6ca68505b5716812129736c3685a6409ea0de88773250c046e921ad814d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.398188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.398188Z digest=sha256:3a1efb35c3fb1617731443668b56800511a6fb67e0b9f56490a22c82633fc483

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.491719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.491719Z digest=sha256:aa8a27d2d351f0c849d4429b4fa13688275a9a794fa38dfbefb452766edf8f01

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.586721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.586721Z digest=sha256:ca5712277a0de27bd45e3843ac00b36272c7e8a1978806184e2a7ad9cc408fe0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.682206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.682206Z digest=sha256:e55b1a4cbe28881a29f709a9fdbd5b1250959adfa822623f7e867781553c5933

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.764926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.764926Z digest=sha256:9d01591f305a541813fb6c386b0a65b192b0f550f1eec2b287ee5baf1ab47286

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:54.840336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:54.840336Z digest=sha256:da84cecc0bcfe4f1560f062d9ec980e19701110aafa0fab531492fb2e539c39e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:15:00.268501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:54.913566Z digest=sha256:c0645941ae67195f8a905721f9ef09770c759eacc73da8c3e08b694c0e461af6

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:55.034572Z digest=sha256:6bd6bde17aa8bfb25e34f67c18061098174c679a2af50d33cb1b5734c300f92a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.105060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.105060Z digest=sha256:725e9f212bec8036b0685bfcfc7e641a727e446d4982f2dce67c82c145b18b90

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.183191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.183191Z digest=sha256:8deea6a687ff7467afe098209b7d5df5f42dcda08533b4c4f09a285f7ebda6e8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:59.733039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:55.276917Z digest=sha256:ead541f61c403984bf996e7e0be7462de8e288d998e9ee3836ba14175fa2dd86

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.372041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.372041Z digest=sha256:3a6ac34c2d3b229e623d35e4b20190a039efdbacc2ef19730c1283218be00b32

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.448093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.448093Z digest=sha256:9f543c26ebeb338b50cd3e2e5fe209208bfcd184318ab3a1f0011921dfef0e27

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.535619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.535619Z digest=sha256:7c6aba7ac437210214af7a30040c3ac6ca67393017b2bbbc6859a44921fdfdee

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.607028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.607028Z digest=sha256:0d6a27666eeaba30cd4e4a7649ca5d5cf07fd49d976ba482af25d8d31ca00544

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.680430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.680430Z digest=sha256:ae8e1be93d3d11d68a02249dc1a2945f65320590629e7f472f056fe6e435a614

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.745978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.745978Z digest=sha256:14ac18aad51570183f770cf9ac3609aa72425a7067d0a7fc8dc18adefb148268

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.833719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.833719Z digest=sha256:bfce9372979076e2883c1bccc151715cac014444c170e56cecd59184c0a3b8b0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:55.925173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:55.925173Z digest=sha256:bf325cbfe6abd4dba2d6a5c3dbf665a6f69ac44d3991f3dddc6140d2edac8b36

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:56.021214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:56.021214Z digest=sha256:410ead35cf2a924c949279da29fcb9ce90a5f7c7e0005570aaddf7067324494f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:56.095293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:56.095293Z digest=sha256:270c67bb2799b2aa8e96a0d5b2ea98c12b3d84e1e7ae4f3397c69f21060af8d0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:56.170429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:56.170429Z digest=sha256:e83f47a78bcf29f8f068f6108914268c7defb70184f4152747afe04b5478b830

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:56.253584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:56.253584Z digest=sha256:c81ab8c503e78934ae30d03fcd9c3fdbac27d080ec087a09063289703151882b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.348942Z digest=sha256:c58319dae324648c2c695fbd678228e53f1443f72f58647e41bd142929a4f160

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.431221Z digest=sha256:2cda221dae3f0cb0889515898ec5139f6d125211731d1e8b9616cfc78856422d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.542339Z digest=sha256:94d62df1d5d1799297d24ecb02618620713c35b2724350aecdb7e2c4d6b17f00

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.633431Z digest=sha256:e7bd141e392aa2de23807bd8681cd6c230e0f16261b56b89e041e0fbacf70a7e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.699566Z digest=sha256:85adc4e389622abaae47c10afdb67dc200432c67322ae15f4e3a2cc17efb3f5b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.747752Z digest=sha256:a77b4a8807c61ca65a52b311e391951c3c28a22f1bac0ffd33262a93dfc190bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.819169Z digest=sha256:a2b64897ee36f6e1843e64467b8df3d031c6e20cb75d2671a22590905f32da65

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.874310Z digest=sha256:b93286f57eaff54dd9b083c8efa0aeae80658f09c66d67248c62d6b27e10c378

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:56.965308Z digest=sha256:c33140dc3bf2e2320727aa84a26b76ea901fff851f8cce615c1619adb35cfbc6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:14:57.037860Z digest=sha256:b1bc523b5e5bde40efde67026d4639798e37a8a3f42f96c64ca6e136bf1d82fb

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:d740217635ba47b955b740f22b1b351fecb455d2405ab51b7e4bce8d71d136b3

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=sha256:91423fb1e79621b998c260839a33726d0315a85b2ab888accc89b4be659cd9f7

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=sha256:9058818c93674a243be3a9c88e2036f1a170e6f1c10ed9c89bc410a60e286095

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=sha256:8f04b6ebdaa85ccc8879fb9daa9cbd9613c491539558b5566083f8a26cc39edb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:08:11.191706Z digest=sha256:003633a8ca1f27f421e16d06d8906ac577a48efd41dcebab09817573493ab8af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T11:06:38.102348Z digest=sha256:fcfcb92e4a57d9789dbeb0c768e80da4aed9b2bd69d2d5f9c58457296db3b1ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T09:11:31.870441Z digest=sha256:8aa803360986442780450540de6af2094c3c5ad2e1313fdf13b9c5cfa07504b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T19:55:17.366868Z digest=sha256:1c3d6122cec49d7ba690ef81de76bb0cb5ebf1b322819da774c853909d997c9f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T16:51:48.705876Z digest=sha256:1036b03eb85e35424f52ef4e187b7dfba2a1281bd0318c6029d9225ad36f15cb

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=sha256:2a22703232c4bdaa14db6bd21c9c32690465446e9026a63baf321c2c8e5d4de1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:39:48.066744Z digest=sha256:8ba2715d09fcbf505caf9acc14d391519507d620fae50d8a004512a227239c7e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:03:15.222571Z digest=sha256:87b951bc54b5d449099b4e9b7484b449b029c70f58c228736b986beedd8d2cab

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=sha256:37626a148f2198788faa3c1343e43b948bd84961eb18d3182cc9eca5ef8cca9d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T10:58:30.370708Z digest=sha256:3882330e1d7cd576591a78fd69eed72dbbd1433375ca345d344e7a8dd9cb3ff6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T05:07:39.571227Z digest=sha256:b215fbbfc80d9b2d17b464f3edc545abfb63350aa6b071f0ef251f855104ce90

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T07:43:50.633779Z digest=sha256:605f69c498b43875119b1549c1b844f9630e530b5edc88ee25df5b9e1e546480

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T18:57:46.841456Z digest=sha256:76c6d7814302d0e18302081d3469148ae06b21ed9cb428d265416af8bd20796f

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:a9eac0ed24a0af4f4b23f57a0b3f9323b3ee92fcd0df852d1372861d541bd846

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:bf908c1963236861edadae3f4d910509fe4fccb4e60b17074e570fff0835f5fb

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=sha256:516839353f80b4e18e6caecf2c2ce1c7e916a8e1f98b111e81929684c5bf01f5

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=sha256:3483cf4a51e53f579906751197fb68b2a8ca68dd02ecfe1f402bcecaba6bf3cf