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Paper Citation Record · LEDGER

FLIP Reasoning Challenge

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2504.12256.

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

pith.paper-citation-record.v1
2504.12256 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:39:57.370586Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:55:13.370339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:56:14.849585Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12eb9417-5fee-4535-a850-4adbb7703e63 · outbound

This paper cites write newline.

FLIP Reasoning Challenge write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.079035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.079035Z digest=sha256:5dc5c79f4df6e23cf254a82dee5d6e379b25b4848d85f68ab38a9aa5bfa69030

Observation 2e7c48af-bf07-4cd9-bea4-1284956d8796 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

FLIP Reasoning Challenge Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.085952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.085952Z digest=sha256:f0de9e3694aad862b4d701fa212328f1a313fd94e2018729c90907b71fe7dbf2

Observation a6597556-86c2-4862-8d08-0f74974ffcda · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

FLIP Reasoning Challenge Flamingo: a Visual Language Model for Few-Shot Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.092196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.092196Z digest=sha256:acfc4f9d55ac8e1805e94c4665a11bb9bbe40306a9c2843cb1aeddfd8c06ac72

Observation 67b65875-4168-4502-a344-c69af2797941 · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

FLIP Reasoning Challenge PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.097864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.097864Z digest=sha256:b791cd471254d747b33ae90346364008717a33e89ce66be44a628c65eac96698

Observation 55f57a3f-56df-4f6d-8bbb-7bd56e96fde8 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

FLIP Reasoning Challenge On the Opportunities and Risks of Foundation Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.103591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.103591Z digest=sha256:a3199a4404de214410ea2ea75e299f3bb4842994c78bfe612cfc682671cc8e53

Observation 5d225430-0570-46d5-82ce-7ad9ad5ff1eb · outbound

This paper cites Language Models are Few-Shot Learners.

FLIP Reasoning Challenge Language Models are Few-Shot Learners

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.109601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.109601Z digest=sha256:768a73a1c5c95764f706db6e431a03c9dd4a869be860eabb3cb5472794f920e8

Observation 55c8546f-11f5-49b3-9789-ba61971f6760 · outbound

This paper cites and Lee, Y.J.

FLIP Reasoning Challenge and Lee, Y.J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.292308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.114992Z digest=sha256:2b22e9c4080b8dcca3099c07343af56f3cd22cc5d18be82750b12d2c31566b6c

Observation 6b33a499-2173-4ca7-89a1-638fce6d92f6 · outbound

This paper cites Unifying Vision-and-Language Tasks via Text Generation.

FLIP Reasoning Challenge Unifying Vision-and-Language Tasks via Text Generation

Reference 8

Resolution
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no resolver link, observed 2026-08-16T12:39:57.120440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.120440Z digest=sha256:4f34bff2a637d70a53622384113664270a620708b4bde6eb12863c8e13fc4538

Observation a4e3d643-2240-4a17-918f-13f6e0cd72c1 · outbound

This paper cites On the Measure of Intelligence.

FLIP Reasoning Challenge On the Measure of Intelligence

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.126934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.126934Z digest=sha256:adefd251d8f8bd874cccbafb289c958905fdc65e81008226c0b0fec06f3acf68

Observation 0d5aa931-0a70-4053-8ed4-4ca014a4e22d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

FLIP Reasoning Challenge Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.131962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.131962Z digest=sha256:97e8290f40591c898cb6d68895683d5f94e928e00ca399e4dc68729332f213b7

Observation cf9c8a12-59f5-4382-a507-91dc11c2782b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

FLIP Reasoning Challenge Training Verifiers to Solve Math Word Problems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.138252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.138252Z digest=sha256:ff4b61555a8d918f8e512903582a7aeb884cad7ac91b56cdc45e66c62dbb56e7

Observation 8175d20d-354c-493d-8d8f-14a52e859b35 · outbound

This paper cites Meshed-Memory Transformer for Image Captioning.

FLIP Reasoning Challenge Meshed-Memory Transformer for Image Captioning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.143411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.143411Z digest=sha256:a57a95872aea6b8f518331361ec3cfa671b4f639a991b60b962773b030c4f00c

Observation fecdb375-089d-49bc-bf91-cace1a569b09 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

FLIP Reasoning Challenge PaLM-E: An Embodied Multimodal Language Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.148628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.148628Z digest=sha256:a4aace8592ea68567e252ff2e9253cfade45a68fca0c8afcdb1a7948dc44de2d

Observation 736a5ebe-d0da-4fca-a4a8-b215d660a2b4 · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

FLIP Reasoning Challenge FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.153685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.153685Z digest=sha256:0581fdf8bec14be52814b91c4307269b6183218a735c1e02dae924118eef8d42

Observation 5476f7cd-a445-4cde-b0a7-b62af457ae0d · outbound

This paper cites The Llama 3 Herd of Models.

FLIP Reasoning Challenge The Llama 3 Herd of Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.158965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.158965Z digest=sha256:25bfda11456e16451450f378390a52775c9b62d05189491174a63bcb3fecf322

Observation 113a9d6a-61fb-49dd-9dc3-0cbea91fa6cc · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

FLIP Reasoning Challenge rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.165138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.165138Z digest=sha256:393d85b1dac4c986fe358b58d11b10b36f3e2f04fc06f0e3b8d774fa96cc1b91

Observation ddae8e06-aa91-4bd1-be9b-6673192adc3d · outbound

This paper cites Deep Residual Learning for Image Recognition.

FLIP Reasoning Challenge Deep Residual Learning for Image Recognition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.170484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.170484Z digest=sha256:3948039866acfa080409e27d1c28021e3ef4a326efc96e8518a3b465a6ae954a

Observation c8e38cbd-1358-4971-a0ba-66517aecfdee · outbound

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

FLIP Reasoning Challenge Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

Resolution
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no resolver link, observed 2026-08-16T12:39:57.175426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.175426Z digest=sha256:b3f7eae383243695803d28175a8bb5f5131219f33605f594e467411705eb8ef9

Observation ea7b9d8d-6750-47f8-b6ef-5c90a5650b09 · outbound

This paper cites Idena Blockchain explorer , 2025 a.

FLIP Reasoning Challenge Idena Blockchain explorer , 2025 a

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.276156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.181000Z digest=sha256:f65bebbc6f6ecfbd2727b9e66dc7b9bc739bf375b503e67b036b55688314e3c4

Observation 09a3c464-8010-4323-b00f-87b09d9ca0ce · outbound

This paper cites What is a flip? , 2025 b.

FLIP Reasoning Challenge What is a flip? , 2025 b

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.260323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.186811Z digest=sha256:ed91c9074f5fdc99876fe84bd31b2930890782537eca249e7f0177b0d67c7106

Observation 3cbace1a-ff21-4c9c-b0f9-20a2587cf502 · outbound

This paper cites Idena Whitepaper , 2025 c.

FLIP Reasoning Challenge Idena Whitepaper , 2025 c

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.244599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.192015Z digest=sha256:2fb214045bddf0fb21b538d3714243c0a9bcd5b678d0d0930ce9b2783e8335a9

Observation eaea3845-8ad7-4ecd-b2a9-f7c4b89b0df4 · outbound

This paper cites and Qiu, J.

FLIP Reasoning Challenge and Qiu, J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.227223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.196905Z digest=sha256:54ce70b1e3d8056435be199d5431114b48644bb11f302b96c315da696537038b

Observation 3a71d46d-776a-46d0-b360-5984a429f0cc · outbound

This paper cites CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

FLIP Reasoning Challenge CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.201502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.201502Z digest=sha256:adefcc91cb7fd15549addd903b770fbcfcc8aa72015e6f9aaa23b55f67cbbeff

Observation ec31ab58-1ffb-41ee-90ea-85d3caa8efe2 · outbound

This paper cites Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.

FLIP Reasoning Challenge Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.206673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.206673Z digest=sha256:d17fed90a45491cae4bbf6283c6f3edf931c8af32c133750abe35c3c895203ab

Observation 8349340a-b719-4206-8ec2-5874816b2ec3 · outbound

This paper cites The Defeat of the Winograd Schema Challenge.

FLIP Reasoning Challenge The Defeat of the Winograd Schema Challenge

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:39:57.811787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.211712Z digest=sha256:5def7264cd80f870f58666910d703d545b04412f1f41993d5d486990998fdc70

Observation 6b29927a-ec90-4e24-a14d-30d2fe934447 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

FLIP Reasoning Challenge Large Language Models are Zero-Shot Reasoners

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.216460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.216460Z digest=sha256:1e01ad55bd698eb5fe395fb24c946fbc65b2ce715cc63421fcb7db60dc471d8a

Observation d7f93bf0-9eca-4f12-842a-a333b91d4178 · outbound

This paper cites and Morgenstern, L.

FLIP Reasoning Challenge and Morgenstern, L

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.208133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.221988Z digest=sha256:29da8f003263e0859d06e4bc8710d727242e5be158f789888fc8454b3b6b32fa

Observation 93abb687-ca8e-4bc1-b515-bc00040c9bf0 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

FLIP Reasoning Challenge BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.227686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.227686Z digest=sha256:56dc269b5b1a998a6147783d7bc4648d8bde42cc84b654b94c1d6c2570b1666b

Observation 2d4e788c-cc2d-461f-87c6-a329becb9f4c · outbound

This paper cites and Lee, Y.J.

FLIP Reasoning Challenge and Lee, Y.J

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.192251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.232646Z digest=sha256:f4ddd67524895fe7edecad1d988a1d8964f8d18f0a159666e9221581c6df80c3

Observation e013a981-059f-4c55-b429-3228d01f0986 · outbound

This paper cites GRIN: GRadient-INformed MoE.

FLIP Reasoning Challenge GRIN: GRadient-INformed MoE

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.237348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.237348Z digest=sha256:31f8a016bd7a4d04337d9b57b10488629cb39f215872cbafac10481381e47f53

Observation 9a16adba-01a1-408c-b4b2-bc1e075fa58c · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

FLIP Reasoning Challenge Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.248229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.248229Z digest=sha256:7e9329e5c4a4dc76513b0ac831635b2f71e5f7f277bd4be60e382dd6863313ca

Observation 92d1c347-6aa7-4c76-98b1-ac72d7e28f72 · outbound

This paper cites Chatgpt: Language model by openai, 2023.

FLIP Reasoning Challenge Chatgpt: Language model by openai, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.175906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.253658Z digest=sha256:8812c9b9f4863b27e38a5e1c16f806d366611690104e9e01f9f2c35ccd019b40

Observation 93f8785a-3ca2-4672-80f6-66ed755150aa · outbound

This paper cites GPT-4 Technical Report.

FLIP Reasoning Challenge GPT-4 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.258617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.258617Z digest=sha256:01b1d383b094fe469d274c218e68701d4b04f20049e8bb5cc7a9bfd848015341

Observation 4f7fb421-360d-4624-bd42-13e6ddba0c7c · outbound

This paper cites A Plug-and-Play Method for Controlled Text Generation.

FLIP Reasoning Challenge A Plug-and-Play Method for Controlled Text Generation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:39:57.688299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.264497Z digest=sha256:88f0d6f1480643c19f0e2a77d811fb553485fe9cd118cd6325c8f6a3d69bab08

Observation 4872f79f-ecee-452b-a6e4-4f66cb6589cd · outbound

This paper cites and Wattenhofer, R.

FLIP Reasoning Challenge and Wattenhofer, R

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.159540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.269353Z digest=sha256:2427d06d550e2a87366e83c8a883e6b40cc2aa519ceef5200fe4a6e84269405c

Observation 9b722271-239f-4109-a6d0-3e77ce80d035 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

FLIP Reasoning Challenge Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.274044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.274044Z digest=sha256:6c63045dd27a04b1774a65cf176e2676084afeffe99ff75c55bb45e45f3776f0

Observation fcbe7823-140f-461d-8be2-8e8a3e14c970 · outbound

This paper cites Qwen2.5 Technical Report.

FLIP Reasoning Challenge Qwen2.5 Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.278960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.278960Z digest=sha256:ebd254b49e23c8cb3c8909b098e37e3b07e1bafedc7dd7cc5c8e0b83147d89e1

Observation 268cfd25-33fb-45c3-b9ae-60c2de7b886a · outbound

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

FLIP Reasoning Challenge Learning Transferable Visual Models From Natural Language Supervision

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.283923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.283923Z digest=sha256:11857bff831ce76cc96fb95a81301bedfb7d09e71c09d2196e2817dfb5f7ac06

Observation b6810078-738c-4b03-8871-095f223d24e5 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

FLIP Reasoning Challenge SocialIQA: Commonsense Reasoning about Social Interactions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.289061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.289061Z digest=sha256:487511831443f0dd31e742f522ff2483759adfec41d4d80b0e7928db7d87ce7b

Observation 48f7dec7-713f-4a0f-b819-ccf0366955ad · outbound

This paper cites Analysing Mathematical Reasoning Abilities of Neural Models.

FLIP Reasoning Challenge Analysing Mathematical Reasoning Abilities of Neural Models

Reference 41

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source=arxiv_source observed=2026-08-16T12:39:57.294175Z digest=sha256:081c9fb438e024d836ce92862a7aeff9469aab2feb1d5f2dc2f809132e604128

Observation f52f2047-7ee1-439c-863c-07090dead84c · outbound

This paper cites and Soricut, R.

FLIP Reasoning Challenge and Soricut, R

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-16T12:39:58.144040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T12:39:57.300093Z digest=sha256:ce332e7e091110c533795dd452e5254a2b2dd89db0c7418bd5c72a65734bbf01

Observation 6c72a437-fa33-4b55-8d0a-02e8875ae5b1 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

FLIP Reasoning Challenge Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 43

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no resolver link, observed 2026-08-16T12:39:57.305076Z

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source=arxiv_source observed=2026-08-16T12:39:57.305076Z digest=sha256:f446f820dc64c9b57b7ff6e792893ce2f8e63f22f02f7d2ec27f62f1ea00dc08

Observation cb1ec269-8438-4a77-8515-1ba45cc6d0c6 · outbound

This paper cites A Corpus for Reasoning About Natural Language Grounded in Photographs.

FLIP Reasoning Challenge A Corpus for Reasoning About Natural Language Grounded in Photographs

Reference 44

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no resolver link, observed 2026-08-16T12:39:57.310225Z

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source=arxiv_source observed=2026-08-16T12:39:57.310225Z digest=sha256:5fcd07ab0821678af90c83722b1e36b84fb53ee8ab64d6187210d402b62bae86

Observation 6b454070-0584-4ec6-98c4-48004355c7bc · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

FLIP Reasoning Challenge CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 45

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no resolver link, observed 2026-08-16T12:39:57.315210Z

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source=arxiv_source observed=2026-08-16T12:39:57.315210Z digest=sha256:7d2c94ae64ad0639394bdd89b3a0461b0477184ac0fc9695545f6f4147d59aef

Observation 2ee269f7-4add-431d-b0ac-5261b024be45 · outbound

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

FLIP Reasoning Challenge Gemini: A Family of Highly Capable Multimodal Models

Reference 46

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no resolver link, observed 2026-08-16T12:39:57.320348Z

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source=arxiv_source observed=2026-08-16T12:39:57.320348Z digest=sha256:0e3837bc1e769abe19a516768b45868cdccb64c1777b31e3cbd25015fb544645

Observation abbd38d7-54d3-4d68-b676-65d56862b55f · outbound

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

FLIP Reasoning Challenge Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 47

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no resolver link, observed 2026-08-16T12:39:57.325158Z

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source=arxiv_source observed=2026-08-16T12:39:57.325158Z digest=sha256:2406fe317685f5418f80fa9442231a60677fd9aeccc2cbc75ec3cd10e26d8bd5

Observation df802aa7-6954-40ab-89b1-7006eee9ff62 · outbound

This paper cites HelpSteer2-Preference: Complementing Ratings with Preferences.

FLIP Reasoning Challenge HelpSteer2-Preference: Complementing Ratings with Preferences

Reference 48

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source=arxiv_source observed=2026-08-16T12:39:57.330082Z digest=sha256:d5c1c9561e652a71ab81ee8a9a4a5740b16ad3f3d7ecc54e4afde8bb0a041594

Observation 181d3f36-2359-42ef-93be-71627352beea · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

FLIP Reasoning Challenge Finetuned Language Models Are Zero-Shot Learners

Reference 49

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no resolver link, observed 2026-08-16T12:39:57.334854Z

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source=arxiv_source observed=2026-08-16T12:39:57.334854Z digest=sha256:77d6762904b9d39c10fc3b9327cc85b11849b62ca7feb5390f2ab66034dc63d0

Observation 75e06afe-eeeb-458d-871d-2b663c061d12 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

FLIP Reasoning Challenge Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 50

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no resolver link, observed 2026-08-16T12:39:57.339849Z

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source=arxiv_source observed=2026-08-16T12:39:57.339849Z digest=sha256:f365341c9d98330d85b9b6207bd12b7936266fbb8fd7b41bced58f148b95f3fc

Observation 4cc8abe5-fd3e-49ba-957a-07b54d8a5b95 · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

FLIP Reasoning Challenge MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 51

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no resolver link, observed 2026-08-16T12:39:57.345099Z

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source=arxiv_source observed=2026-08-16T12:39:57.345099Z digest=sha256:e4be0edf187337d9bc11bffeec2039db52933eb3808bd16c76ff603b5ce5e5c7

Observation c23d356c-a76f-4ebb-84ac-a77962650d81 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

FLIP Reasoning Challenge HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 52

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no resolver link, observed 2026-08-16T12:39:57.350202Z

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source=arxiv_source observed=2026-08-16T12:39:57.350202Z digest=sha256:82d4237e75fcbadbb75b868500bfcaad01148c601cdadd327487743667dc3870

Observation 87c6cbc0-9997-49c8-990c-059202d1f87e · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

FLIP Reasoning Challenge Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T12:39:57.355148Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.355148Z digest=sha256:5d1aca887a24e3d08fc33dadf852af4b6817f5fd4c3c4ff84907faa618db955c

Observation 70340a50-f93e-4442-ae9c-d0bd7ce7c8f5 · outbound

This paper cites @esa (Ref.

FLIP Reasoning Challenge @esa (Ref

Reference 54

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no resolver link, observed 2026-08-16T12:39:57.360045Z

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source=arxiv_source observed=2026-08-16T12:39:57.360045Z digest=sha256:ba1599b5c8aaf1e348ea3bb8074b0d5791bcd82111125a703d6282281d537f5b

Observation 6f8a2bf3-98f6-47d2-94aa-18b0a8836946 · outbound

This paper cites an unresolved cited work.

FLIP Reasoning Challenge Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-16T12:39:57.365600Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:39:57.365600Z digest=sha256:207973dbe8a64dfa42c19ae0c838b2be949500c0187dbfdf34b4164491f50ebe

Observation 02e33f4f-3478-4af7-a9a9-850ab843f8cf · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

FLIP Reasoning Challenge GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 56

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unresolved
no resolver link, observed 2026-08-16T12:39:57.370586Z

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source=arxiv_source observed=2026-08-16T12:39:57.370586Z digest=sha256:28e13a765f3434b6bb9643fbd5a8301a5f8d7184fec938706641e41af7d2989a

Pith citing papers

Observation e9c44e0a-5b38-4421-9def-3782638f2937 · inbound

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation cites this paper.

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation FLIP Reasoning Challenge

Reference 191

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verified exact
arxiv_id, observed 2026-05-11T21:31:17.070795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T05:12:55.062360Z digest=sha256:bee5c8161418d686aa6a1aed70ee1b4632484c2717c5287baf4922aa12f014d3

Observation b7af79da-9ae3-4c95-a0d8-96befb24f941 · inbound

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation cites this paper.

From Visual Synthesis to Interactive Worlds: Toward Production-Ready 3D Asset Generation FLIP Reasoning Challenge

Reference 191

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verified exact
arxiv_id, observed 2026-05-12T01:56:14.851945Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T01:55:13.370339Z digest=sha256:c8b94884f395633eb72b73e760e66ab9736811e1d43b74ef12941cbd4d9efdd4