Paper Citation Record · LEDGER

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2410.03051.

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

pith.paper-citation-record.v1
2410.03051 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.853647Z

measured 0 of 1 external citation measurements

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 b2c41478-032f-491a-9901-03bd4df7a710 · inbound

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory cites this paper.

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:46:30.236866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea5e044-5a17-44a0-8c83-4e88c9eb8af6 · inbound

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts cites this paper.

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:51.189481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd12837a-9450-408b-9fd3-ad712256895b · inbound

Efficient Multi-modal Large Language Models via Visual Token Grouping cites this paper.

Efficient Multi-modal Large Language Models via Visual Token Grouping AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:25:00.321557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8955a32-afb1-41a5-a212-f21c16161038 · inbound

Progress-Aware Video Frame Captioning cites this paper.

Progress-Aware Video Frame Captioning AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T23:55:58.284406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef28860-7006-4c2b-aeb7-fd5b7f854b48 · inbound

p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay cites this paper.

p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T21:31:44.310669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f0032f-7b25-411f-88c1-c5f3d1eace6c · inbound

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration cites this paper.

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:28:02.058887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

Observation e4b62b3e-d556-415d-aa59-f5a387c059c3 · inbound

MVTamperBench: Evaluating Robustness of Vision-Language Models cites this paper.

MVTamperBench: Evaluating Robustness of Vision-Language Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:55:17.536674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09174efa-e7cc-4fe4-973c-ca7ef49863e6 · inbound

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval cites this paper.

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:52:00.725465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ef629a-2f2a-476d-a16e-7da6b4b5d589 · inbound

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models cites this paper.

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:09:24.963803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

Observation b5837546-afe1-4b76-bd4d-509e4deaf5f0 · inbound

VideoRoPE: What Makes for Good Video Rotary Position Embedding? cites this paper.

VideoRoPE: What Makes for Good Video Rotary Position Embedding? AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:35.088592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

Observation 24faaf20-db2e-40d4-8566-e87b52a3e902 · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.853647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c2bf1c-8de4-446f-86e8-eadc1e6c7509 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.396187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accaba5b-d68a-491b-9d1f-baec2974b67c · inbound

Towards Understanding Camera Motions in Any Video cites this paper.

Towards Understanding Camera Motions in Any Video AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:31:56.274698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647c0f4c-cd02-47b7-9f82-f91f92bb0ec4 · inbound

MR. Video: "MapReduce" is the Principle for Long Video Understanding cites this paper.

MR. Video: "MapReduce" is the Principle for Long Video Understanding AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:19.593130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e8ddad6-119a-4e62-af48-654c8cfc74a0 · inbound

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action cites this paper.

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:40.071985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.

Observation ec9bfde8-4dd7-4aca-8880-33a90c8adda8 · inbound

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning cites this paper.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:10:17.515974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.