Paper Citation Record · LEDGER

CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.10918.

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

pith.paper-citation-record.v1
2209.10918 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:17.536220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.129346Z

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 255d90f0-9d27-4813-ad21-2f1b032353c9 · inbound

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos cites this paper.

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:17.536220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a04f77-737a-42a5-a2c0-6834cd83d889 · inbound

SEAL: Semantic Attention Learning for Long Video Representation cites this paper.

SEAL: Semantic Attention Learning for Long Video Representation CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:10.548161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86bd473c-ff25-4fa4-bc87-08194cfebc4c · inbound

Multi-Scale Contrastive Learning for Video Temporal Grounding cites this paper.

Multi-Scale Contrastive Learning for Video Temporal Grounding CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:32:43.035252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b3328a9-c504-44c5-8cc7-94a8affa16d1 · inbound

DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos cites this paper.

DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:11.331471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c553be-d585-4747-8102-44b17b6176b4 · inbound

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding cites this paper.

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:51:02.394167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 426baae8-d750-4a18-b836-dc501543d702 · inbound

OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding cites this paper.

OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:15.800854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a036346b-a64b-4319-a0a6-00e3a024d48b · inbound

Temporal-Aware Reasoning Optimization for Video Temporal Grounding cites this paper.

Temporal-Aware Reasoning Optimization for Video Temporal Grounding CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:17:29.130716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.