Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09481.
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 2026-08-08T20:49:51.499157Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T21:23:27.769310Z
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 dbbe53f4-361e-4a30-b62c-42c117851ec2 · inbound
Recent Advances in Multimodal Affective Computing: An NLP Perspective cites this paper.
Recent Advances in Multimodal Affective Computing: An NLP Perspective PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Reference 263
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:23:27.772834Z
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 3377d4c9-0abc-42e4-8b07-7bbe50a1a9ac · inbound
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark cites this paper.
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:49:51.499157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30acc78e-3ab1-4d1f-84b9-04eb110a645c · inbound
Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis cites this paper.
Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:43:05.664555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.