Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:05:46.467102Z
Paper Citation Record · LEDGER
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding
As of 4 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2604.11177.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
11 of 11 outbound references displayed
- verified exact5
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 184a4c4a-f035-4b59-a0fb-ea6f0f766382 · outbound
This paper cites ActivityNet: A large-scale video benchmark for human activity understanding.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding ActivityNet: A large-scale video benchmark for human activity understanding
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.495645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9ea846ef-fd0b-49df-bc55-3f3136ae3b8d · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Evaluating Large Language Models Trained on Code
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:00.049963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12623f48-c162-468b-ae0e-d22fd43ce55c · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:00.028188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6180581-857c-4979-9ce9-996ea3826343 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Gemini: A Family of Highly Capable Multimodal Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:00.044696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 74f86ccc-4312-489a-bd07-8b948d636de4 · outbound
This paper cites Ego4D: Around the world in 3,000 hours of egocentric video.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Ego4D: Around the world in 3,000 hours of egocentric video
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.482617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c654cf5-93d0-49ec-b169-92825527aa05 · outbound
This paper cites Measuring massive multitask language understanding.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Measuring massive multitask language understanding
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.478851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ed5db929-2208-4d51-a68c-dbe79ed601de · outbound
This paper cites GPT-4 Technical Report.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding GPT-4 Technical Report
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:00.031299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e8f66c76-3cf0-4b62-9add-3b97e0757e59 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:21:00.037094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc4373d3-ec42-4a9d-a61b-3e2a3b9914f1 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding Chain-of-thought prompting elicits reasoning in large language models
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.486427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09e4eda8-0908-4689-abce-7ec6be1ce3c9 · outbound
This paper cites HellaSwag: Can a ma- chine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 4791–4800.
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding HellaSwag: Can a ma- chine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 4791–4800
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.490380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b66a822-f6ee-4374-a7b9-590412a570e5 · outbound
This paper cites Xing, et al.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:01:59.474637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.