Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2410.03051.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:37.686789Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:54.928668Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 831294d4-84b3-4832-bc3a-b50709e32390 · inbound
HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks cites this paper.
HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:05:29.239902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 68652cac-f1a8-4700-8de1-5f779442999b · inbound
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:32:41.152534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2537b212-0d3b-463a-bec1-b35f1d15dcc5 · inbound
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T00:02:17.878492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation caca77dd-0c7f-436f-a4a7-f8dbfe66e7db · inbound
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval cites this paper.
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:37.686789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 286408a4-2bf5-439d-b8c2-c1f170a644df · inbound
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:02:59.661583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14d775da-00a6-4a49-9a83-208061a1d3d8 · inbound
Vid-SME: Membership Inference Attacks against Large Video Understanding Models cites this paper.
Vid-SME: Membership Inference Attacks against Large Video Understanding Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:50:00.159271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea527a28-a167-4066-bada-0ccd3e18f566 · inbound
ARGUS: Hallucination and Omission Evaluation in Video-LLMs cites this paper.
ARGUS: Hallucination and Omission Evaluation in Video-LLMs AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:41:39.591343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bf9bb16-7765-40f5-b839-9587f6f7bfcb · inbound
ToSA: Token Merging with Spatial Awareness cites this paper.
ToSA: Token Merging with Spatial Awareness AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:01:29.947783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e94a8c9-1420-4ad4-97ce-400db8aba0f9 · inbound
AVC-DPO: Aligned Video Captioning via Direct Preference Optimization cites this paper.
AVC-DPO: Aligned Video Captioning via Direct Preference Optimization AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:53:19.764060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b21e852-8f3b-4f2d-9372-9a4dce0f8077 · inbound
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:48.227081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b612f2-6f4e-4f4d-b273-6ace6548816b · inbound
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection cites this paper.
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:03:26.518534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 307b969c-1c54-4663-83d5-2209560690f9 · inbound
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models cites this paper.
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:26:27.013397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cdf41a37-fada-4535-901d-9ea0ad180cda · inbound
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling cites this paper.
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:58:25.635849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9fdf966d-545e-41f9-a686-acde1a8d4700 · inbound
Building a Precise Video Language with Human-AI Oversight cites this paper.
Building a Precise Video Language with Human-AI Oversight AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:46:04.576239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f19ee89-936f-4124-b487-3852d4baad26 · inbound
MSD-Score: Multi-Scale Distributional Scoring for Reference-Free Image Caption Evaluation cites this paper.
MSD-Score: Multi-Scale Distributional Scoring for Reference-Free Image Caption Evaluation AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:46:07.544729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5715f666-a5d1-451f-928e-f5e25c060ee4 · inbound
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation cites this paper.
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:06:16.313840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c1e0d0d-2b0d-4e9c-a200-53bc6e838f59 · inbound
Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.
Balancing Image Compression and Generation with Bootstrapped Tokenization AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:55.406296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6098b20b-c083-409d-ae59-491209b36e95 · inbound
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning cites this paper.
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:56:47.382456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 00fc8319-181c-4837-ad2f-97b1f9e2570d · inbound
Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.
Watch, Remember, Reason: Human-View Video Understanding with MLLMs AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:27:15.575211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7aff1fca-7e12-45ca-a8f0-9ba6eb33cb73 · inbound
CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales cites this paper.
CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T08:09:41.272203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 48128038-df63-4ab8-b3bf-897687c62909 · inbound
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:54.930565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4a2ab20c-32cd-4207-afa5-4298ace80d12 · inbound
PercepCap: Video Captioner with Structured Spatio-Temporal Perception cites this paper.
PercepCap: Video Captioner with Structured Spatio-Temporal Perception AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:02:03.141536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f5f4e4f-4e40-44e3-8325-75d037f4915d · inbound
Visual Token Compression Enhances Robustness of MLLMs cites this paper.
Visual Token Compression Enhances Robustness of MLLMs AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:10:37.202730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.