Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Simple LLM Framework for Long-Range Video Question-Answering
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2312.17235.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:56:37.715901Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:48:03.011665Z
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 df1358d4-cea1-4665-8cf1-34ee1e4e3d41 · inbound
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning A Simple LLM Framework for Long-Range Video Question-Answering
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:21:58.044985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5fbec168-da9c-4c0f-8ff8-5d4de93b152a · inbound
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output A Simple LLM Framework for Long-Range Video Question-Answering
Reference 172
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:46:28.857614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1cb44e77-97b8-4fcd-b2cd-d5a96f89ddfb · inbound
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process cites this paper.
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process A Simple LLM Framework for Long-Range Video Question-Answering
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:56:37.715901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd39f4d2-65c3-45ea-a8ca-545b572d313c · inbound
Understanding Long Videos via LLM-Powered Entity Relation Graphs cites this paper.
Understanding Long Videos via LLM-Powered Entity Relation Graphs A Simple LLM Framework for Long-Range Video Question-Answering
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:27.471264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d88c3ee7-3d28-4528-8fc2-6a4f70996126 · inbound
Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles cites this paper.
Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles A Simple LLM Framework for Long-Range Video Question-Answering
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:57:53.167691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89b6721f-3457-49b3-88e1-24ab7fba52b6 · inbound
HCQA-1.5 @ Ego4D EgoSchema Challenge 2025 cites this paper.
HCQA-1.5 @ Ego4D EgoSchema Challenge 2025 A Simple LLM Framework for Long-Range Video Question-Answering
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:52:47.594214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cd89e7c-11c0-45cd-8bc6-4f53a320ddf1 · inbound
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering A Simple LLM Framework for Long-Range Video Question-Answering
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:29:26.732647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6452b5a-89f2-4f23-9ca3-fe3a857482c8 · inbound
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding A Simple LLM Framework for Long-Range Video Question-Answering
Reference 106
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:56.959356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd904f4d-844d-430f-a3a9-23449a5f5372 · inbound
LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering cites this paper.
LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering A Simple LLM Framework for Long-Range Video Question-Answering
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:53:36.153446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34e11361-29a3-4833-90e7-58ddcf13c67e · inbound
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering A Simple LLM Framework for Long-Range Video Question-Answering
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:49:42.312571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c6df0f6-e239-4eee-b50c-4bf0e9b1d78f · inbound
CAViAR: Critic-Augmented Video Agentic Reasoning cites this paper.
CAViAR: Critic-Augmented Video Agentic Reasoning A Simple LLM Framework for Long-Range Video Question-Answering
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:27:33.767446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cea25f6f-a7db-49e6-bb95-189a99b560d1 · inbound
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents cites this paper.
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents A Simple LLM Framework for Long-Range Video Question-Answering
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:41:22.621623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b693d7da-96f3-4119-aeba-636ba2d90386 · inbound
VIDEOP2R: Video Understanding from Perception to Reasoning cites this paper.
VIDEOP2R: Video Understanding from Perception to Reasoning A Simple LLM Framework for Long-Range Video Question-Answering
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:25:22.682531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 39f82adb-aefa-44aa-b2f5-9b44fd964678 · inbound
Towards Sparse Video Understanding and Reasoning cites this paper.
Towards Sparse Video Understanding and Reasoning A Simple LLM Framework for Long-Range Video Question-Answering
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:33:16.311655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 290ab08c-93d4-4de8-85c2-b2ab3dc664c7 · inbound
Progressive Video Condensation with MLLM Agent for Long-form Video Understanding cites this paper.
Progressive Video Condensation with MLLM Agent for Long-form Video Understanding A Simple LLM Framework for Long-Range Video Question-Answering
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:43:14.889680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 488288cd-eb57-4fc0-a317-92bbea7afcb2 · inbound
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks cites this paper.
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks A Simple LLM Framework for Long-Range Video Question-Answering
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:31:13.224993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 058c212c-0e18-4f04-9a59-49c33874108f · inbound
UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.
UNIVID: Unified Vision-Language Model for Video Moderation A Simple LLM Framework for Long-Range Video Question-Answering
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T16:07:09.283746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4760a439-14da-41c5-b5d7-935380a77d67 · inbound
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning A Simple LLM Framework for Long-Range Video Question-Answering
Reference 170
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:48:03.012988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5edf0bcf-564c-4d65-9551-ccf929071349 · inbound
Agent-Computer Observation Interfaces Enable Dynamic Computer Use cites this paper.
Agent-Computer Observation Interfaces Enable Dynamic Computer Use A Simple LLM Framework for Long-Range Video Question-Answering
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:04:21.233670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.