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Paper Citation Record · LEDGER

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations

As of 14 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2507.08104.

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

pith.paper-citation-record.v1
2507.08104 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:27.102976Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact9
  • verified fuzzy3
  • unresolved50
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e365ab9-7d7c-4eb3-b89b-ce97d37f8d6d · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f6e738cb-8f00-4625-a811-558accd00388 · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 2

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Observation 7a23777f-55e8-449c-9748-1795e5b66ecd · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-07T10:45:26.851461Z digest=sha256:fba4489a3c8a4b8cc50afedd7d461f44cd370a06cb8f17840f113c70c0f335fb

Observation 85e00744-0ed5-42db-bea9-96a677f12ed8 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 84209b1e-6bf3-4bc0-8701-ab1eb8b7085c · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 5

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Observation 3903008f-8689-4876-b98a-a7f63efe39b1 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 6

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 947519ca-83da-44ec-ae4f-d6ee1d90a0fc · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-07T10:45:26.866944Z digest=sha256:8f1e43d6bb6f120092a6da0877c09ffccb2a33994d483b100713a7c84b33bcec

Observation 7c1aa6e1-9e20-4970-bb62-8816a50b2d33 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 8

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1be4414a-8ae4-4d38-8c76-e76aaa204ed4 · outbound

This paper cites HourVideo: 1-Hour Video-Language Understanding.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations HourVideo: 1-Hour Video-Language Understanding

Reference 9

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Observation a730aab0-9b32-43c5-968a-e30c35e01fa3 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-07T10:45:26.878208Z digest=sha256:0b5d5fef2e7c93f1f49fea6e5d2ad33b169f1cf91b35bb3342eda8b26c7aad9a

Observation e4b5bf68-3b27-4dab-be5d-83224ed89c0e · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 73be8b90-ea61-4ecf-8f3d-2d26a6865a9a · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:26.885151Z digest=sha256:3056b09da1ff826d523fadef8d46902e7483d06502e1d2a8478f16d5d75fbc76

Observation 2b2aeae1-2a91-49bc-bd5e-e96c4bf04f67 · outbound

This paper cites DeepSeek-V3 Technical Report.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations DeepSeek-V3 Technical Report

Reference 13

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Observation ddf00955-94bf-49c3-99fe-a7f8934eae02 · outbound

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

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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source=pdf_text observed=2026-08-07T10:45:26.891928Z digest=sha256:997dea314cd6fbb90f77affd4cad08261b76319364051810ce9cc920466aa296

Observation 34d68f7d-45bd-4197-ab0d-05a112e074d7 · outbound

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

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Gemini: A Family of Highly Capable Multimodal Models

Reference 15

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Observation ab2897d6-0dc3-4615-93f3-21d9c7baf8aa · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 613f6c30-e2a5-4a37-b78a-80bf3bcf7aeb · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 17

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Observation 0295442c-2c69-4834-87e3-44e154042952 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 18

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Observation 8965b321-3645-4efa-a832-0801a1783555 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f8de994c-db14-4ace-9caa-205936b1955a · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 20

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Observation c7759a58-99cb-4360-9c17-b064becc00e5 · outbound

This paper cites 2024.The impact of Finfluencers on Retail Investment (2024).

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations 2024.The impact of Finfluencers on Retail Investment (2024)

Reference 21

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Observation 13443ff5-1dd9-4ef8-8d9a-89fe3d028811 · outbound

This paper cites Mistral 7B.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Mistral 7B

Reference 22

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Observation 8e443e75-02cd-4c8c-9d00-d8db5f13faf1 · outbound

This paper cites Mixtral of Experts.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Mixtral of Experts

Reference 23

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Observation 59081d41-55b1-4464-b2a1-871e4879d5bb · outbound

This paper cites RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f82cb5db-6f0c-4d64-a9f3-ee4cd534ccf0 · outbound

This paper cites Qwen Technical Report.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Qwen Technical Report

Reference 25

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Observation 283fd027-719d-4bfa-8ca5-aae241e5e397 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 27

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Observation 830a7477-e14f-445c-bc1b-7438a8ff03ed · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8a81c077-1816-49cc-8617-71d474dac8d1 · outbound

This paper cites Enhancing Financial Market Predictions: Causality-Driven Feature Selection.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Enhancing Financial Market Predictions: Causality-Driven Feature Selection

Reference 29

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3202086c-428c-48c1-b594-157620041e33 · outbound

This paper cites mad money.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations mad money

Reference 30

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Observation c23a88ec-53c0-4dd8-b81a-3f236c7529f1 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Improved Baselines with Visual Instruction Tuning

Reference 31

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Observation f16cc29c-6267-4f99-a74f-6af2a157d717 · outbound

This paper cites DeVAn: Dense Video Annotation for Video-Language Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations DeVAn: Dense Video Annotation for Video-Language Models

Reference 32

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verified exact
local_arxiv, observed 2026-08-07T10:45:27.974953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ddbb33f0-0110-4e5c-ad63-35b193af1a18 · outbound

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

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations MMBench: Is Your Multi-modal Model an All-around Player?

Reference 33

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Observation 31ac4216-2b49-4721-8a82-125a93ee5aa8 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0f42e05b-c65f-442c-9f60-cdbc40929c7f · outbound

This paper cites BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 35

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Observation aebca2c7-a484-4436-8f51-e4c3f731b81c · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-07T10:45:26.980307Z digest=sha256:ad4b2553303630f008cfb173ea4ef9683646273391ae888b9af825bc4a4d54e7

Observation 77f8252f-488a-4e80-8a89-0c74bfe321b8 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-07T10:45:28.250085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3861f944-485d-4441-a931-a2b67d36eeb8 · outbound

This paper cites The Llama 3 Herd of Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations The Llama 3 Herd of Models

Reference 38

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Observation 37d1d53f-f08f-4bc8-a0a8-1c28e2a5f08c · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:26.997039Z digest=sha256:c41f90822956dd554018934673da52cd34f29fef22b0b92e3b284a83cbd34f41

Observation 6fe0b637-3e4b-400a-9be1-0b50d4404bfb · outbound

This paper cites Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Reference 40

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source=pdf_text observed=2026-08-07T10:45:27.002204Z digest=sha256:a96083caa173f603784d5777cb47e0a31e203af722e2283c47b97685681bd2db

Observation d7e0cf35-9aa5-4097-b6f5-7c16471487f6 · outbound

This paper cites GPT-4 Technical Report.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations GPT-4 Technical Report

Reference 41

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source=pdf_text observed=2026-08-07T10:45:27.006262Z digest=sha256:a7c97ed163177a08364427587c241032669262ea49684e5e47e73179e1b063fc

Observation 36ab2edf-cc95-443b-bac5-dafa11fd4d40 · outbound

This paper cites SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis

Reference 42

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source=pdf_text observed=2026-08-07T10:45:27.010410Z digest=sha256:3252aed7b459302e2f79cd815918bdaa2cf38f08fa6ce28e9d45853041b08559

Observation ed104184-b944-45d0-b7b6-0129b08b3575 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 43

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malformed identifier
doi_truncated, observed 2026-08-07T10:45:27.181149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.015263Z digest=sha256:d9d53d5d377b27f51554d9b7421c868186b06668dfc0d4803f1f6b2d078c6418

Observation a13c54c4-4bc4-4a65-87c0-fec130009ef8 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-07T10:45:27.019825Z digest=sha256:90adbaf81e23b5fcd5ac540a2fce35ad586f68e65f1e4be6ac12c3c43b991dab

Observation f8df4c28-23dc-4f49-a8bb-fadb9c7f01bf · outbound

This paper cites Rai, S.D.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Rai, S.D

Reference 45

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source=pdf_text observed=2026-08-07T10:45:27.023409Z digest=sha256:fb545fe45863a1fbd21c96870575ef2782e9e0f958a74f93c9c912dba050ab03

Observation 02a427e6-bb6f-4096-8cdd-18f4abc95ebb · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-07T10:45:27.027127Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:45:27.027127Z digest=sha256:707c196c867cc2f86eb6ae4892ccb780411707911864b35cc0e1bb4da2169294

Observation 35e7aadc-4882-4b95-b011-d6db0234dc12 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T10:45:27.032006Z digest=sha256:a6f5a2dd3d54fd8986d5c5aa657471b902e885d64b3e007487e58776c0f6b6eb

Observation 5774e99e-695a-4d2a-b6eb-fa577333491f · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:45:27.035844Z digest=sha256:8fc3b470e64c1a5d2729b07f11cb287165d890a5f87201d41c881991767db582

Observation b3d281d5-acff-468b-92bf-ce72bfc5a2c5 · outbound

This paper cites WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Reference 49

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source=pdf_text observed=2026-08-07T10:45:27.039391Z digest=sha256:5708acddad91143c3f576839b4590e1305e64f5df914ed105341bd8424117d80

Observation e5c0144a-ddc9-4f9f-83d3-2fe47981ea5f · outbound

This paper cites Sprenger, Andranik Tumasjan, Philipp G.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Sprenger, Andranik Tumasjan, Philipp G

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-07T10:45:28.222361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.044114Z digest=sha256:6472909445a25e9228d765955e31814597ab88629ca1ff2a7893ff71a6d53fa5

Observation 9c7a53fb-82db-417f-83c9-ac6ffb32bb0c · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.050896Z digest=sha256:788f0649d76ff5414e11990a38f2b3384aaf6fb5afe3190093164615f3c2fc4b

Observation 0f123a67-06d1-477c-8f3a-229d891a80a2 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T10:45:27.058884Z digest=sha256:3ee3077b61d151a9bba38ec89c2c5b480d52c952f6c6f213849a9d38f8138555

Observation 64fd8b79-8459-490b-a359-1150b351c0b8 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 53

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verified exact
raw_fallback, observed 2026-08-07T10:45:27.576515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.063054Z digest=sha256:27133bada1d1cff60bf517a217653b25887790fbf07c2df5d03238a923313acd

Observation 700bd243-9077-420e-aa1e-6c5742287f25 · outbound

This paper cites 2020-2022.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations 2020-2022

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-07T10:45:28.201867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.066980Z digest=sha256:8830f01fe2f5d75ba23a8d35a4829220e26227fbde8a8ea59bb564e98a82ad52

Observation a588df19-7aca-45f9-920e-eb0d92db35fd · outbound

This paper cites Securities and Exchange Commission.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Securities and Exchange Commission

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-07T10:45:28.190637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.070496Z digest=sha256:2899985cd5ed2d5dfd02b93a2563fe2833a5b84f2da2b5d509ee893bb1711327

Observation 99f69ef1-c716-467b-a8e2-7b1e477c0d6d · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-07T10:45:27.074955Z digest=sha256:235e16a8baa74680e40305c9bd1c2579fb1567866895b11ccd758169a9d86b85

Observation 0e498bfb-55f5-455d-8004-3ccfc5a33c24 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-07T10:45:27.079348Z digest=sha256:6defe5e6e7399b3c2d319844aed7870d6e4e47a39df2ff6358e166953ea2f12b

Observation 6fbb0fa6-5972-46b1-81ae-12d470305d92 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-07T10:45:27.087926Z digest=sha256:795f0a844c19ac25ed52625076b2e7aaa3980417fc4bebce4c06d43923bf5628

Observation 5cf78738-ebe9-47ea-8cec-8709444bdde9 · outbound

This paper cites Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 59

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source=pdf_text observed=2026-08-07T10:45:27.091213Z digest=sha256:78d8e52a58dcaf28cfb087847e1fd0859f042c76be48385ec5b647a72eaf99fc

Observation 33c979ef-764d-4614-9df6-3d04b984e7d7 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-07T10:45:27.095871Z digest=sha256:f08fefa29e54b72fa5e83594365aa4c6c104f71d034b6ff0d96ef1a8f194c91c

Observation 0980f317-0102-4039-9010-0f964b788400 · outbound

This paper cites Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models

Reference 61

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metadata mismatch
local_arxiv, observed 2026-08-07T10:45:27.262100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.098996Z digest=sha256:390cc3e0120b00d2bd0f8ac6a099ec910bdd9f42e165456aa5ff2b9ec3d6bbaf

Observation 9959db72-df35-45b2-b8a0-aa0f82afe5b6 · outbound

This paper cites Buy" action, the annotated price would imply the price at which the influencer is suggesting to buy the stock. Conversely, for a.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Buy" action, the annotated price would imply the price at which the influencer is suggesting to buy the stock. Conversely, for a

Reference 62

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verified exact
doi, observed 2026-08-07T10:45:27.137018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.102976Z digest=sha256:61eaa9857a202f8b34ca8124a66383ce3052ee291579b111e5d8c7fc429e158a

Observation 087ec37b-4400-49e8-ae09-94c918675fe7 · outbound

This paper cites an unresolved cited work.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Unresolved cited work

Reference 319

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verified exact
doi, observed 2026-08-07T10:45:27.149387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.054459Z digest=sha256:47fd891f767a148c70b76e51e2bf67613211928b62766290c6cf0bda28f7c364

Observation 3a3be837-8a43-4380-9984-55a06d1a1529 · outbound

This paper cites Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

Reference 2013

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:26.988335Z digest=sha256:f8f6603d8db539a9a9b1c7d8b232d5b39082743563019b7a5c74cfe9ff1d6e99

Observation 89814b27-0175-4738-aaec-8cf082b9d376 · outbound

This paper cites doi:10.1111/j.1468-036X.2013.12007.x arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1468-036X.2013.12007.x.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations doi:10.1111/j.1468-036X.2013.12007.x arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1468-036X.2013.12007.x

Reference 2014

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verified exact
raw_fallback, observed 2026-08-07T10:45:27.735199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:45:27.047572Z digest=sha256:f8d0cda3af63e0767188283dea209390edd732ac03e22038c06aa0781e7a7099

Observation 07462840-5db3-44f4-8c78-6ce82a14002c · outbound

This paper cites In2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations In2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2015

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no resolver link, observed 2026-08-07T10:45:26.916362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:26.916362Z digest=sha256:5befb3401ab05614f252e114a23a1b69192e2ed64505ebbe1c1561aef17f890f

Observation 9cac6dc9-6fed-4ae9-93e8-8b9f66d5981d · outbound

This paper cites Dense-Captioning Events in Videos.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Dense-Captioning Events in Videos

Reference 2017

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no resolver link, observed 2026-08-07T10:45:26.945669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:26.945669Z digest=sha256:5199bd1f8ea627733a6bbd3243b9de25edeb64966022908abef85acacde9b1c5

Observation c8dee3a3-ec7e-4ae3-be97-245891994603 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations BloombergGPT: A Large Language Model for Finance

Reference 2023

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no resolver link, observed 2026-08-07T10:45:27.084220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:27.084220Z digest=sha256:ba1b7dbf1ce0e9845c44ee51e1209e71a41ed439c9f02cb28a6af71f3278ce60

Pith citing papers

No inbound Pith citation observations are available.