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Paper Citation Record · LEDGER

Affect Recognition in Conversations Using Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.12881.

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

pith.paper-citation-record.v1
2309.12881 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:40.081413Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:05:00.362405Z

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 a1f12b25-8f2b-4ba2-9fbb-a77030415dc2 · inbound

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation cites this paper.

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation Affect Recognition in Conversations Using Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:05:00.365681Z

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.

source=pdf_text observed=2026-05-22T17:04:00.508789Z digest=sha256:9ccd4c14fd388076e9e0d430156375328f80a3e919cd36c20400edd2fda00eb2

Observation 41b265b3-2616-44ec-888b-d2551d89d260 · inbound

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition cites this paper.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Affect Recognition in Conversations Using Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:40.081413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:40.081413Z digest=sha256:84bb0f494d28bb953328725478f096b977cb4a6dd304a247c829672dcde73b1f

Observation ee5b2b8f-7e66-419c-92f0-9736b4f59e21 · inbound

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection cites this paper.

Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection Affect Recognition in Conversations Using Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.524755Z

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.

source=pdf_text observed=2026-05-19T11:29:56.464755Z digest=sha256:97624d00f2e938ce69601f0e1d810476bf77f4de29897dec9fa85d89a0f98d2f