Pith. sign in

Paper Citation Record · LEDGER

Sentiment Analysis through LLM Negotiations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01876.

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

pith.paper-citation-record.v1
2311.01876 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:54.260380Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 51a44a20-2551-44a6-b183-c5c620e4f535 · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Sentiment Analysis through LLM Negotiations

Reference 206

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.966985Z

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=2026-05-17T00:57:26.303195Z digest=sha256:8f2c523a6d80b4f863c19dddb8146e632d77c71061fd15e8b453c932bb5e74e8

Observation bea2d283-0f40-4bd2-830c-cb92ee2dd42d · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Sentiment Analysis through LLM Negotiations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:54.260380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.260380Z digest=sha256:615b1cb9aefd41aec0cfa4bcd75cf57402bac6ce7edda6e6870a7fbc2a728159

Observation 62b1efe4-b97f-4e7d-bccd-1ab2a28b29d4 · inbound

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets cites this paper.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Sentiment Analysis through LLM Negotiations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.950587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.950587Z digest=sha256:ea8ef6193f78f1a0996646441f432a6cb968904b26f4797111d7df802f9d75da

Observation 4ee77685-7903-436c-ba89-cd5942120522 · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Sentiment Analysis through LLM Negotiations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:03.766748Z

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=2026-05-10T10:55:20.435471Z digest=sha256:adcce0bd05d9ea2cf72e9a0061a926f176594250b380956f6900885dc014b286

Observation c9fe028e-f11d-42a8-b9e8-1a213dd0bfb2 · inbound

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes cites this paper.

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes Sentiment Analysis through LLM Negotiations

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:47.958756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:25:47.958756Z digest=sha256:a8a74e0542b2e24679590f17a5decdebff89476a7b6ddbf446fb3c127de5c41b