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Paper Citation Record · LEDGER

Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.00236.

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

pith.paper-citation-record.v1
2403.00236 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:16:25.193866Z

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

2
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 17f9bc84-3094-4f7b-a126-ea310aa74ac9 · inbound

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness cites this paper.

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T21:16:25.193866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:16:25.193866Z digest=sha256:0f870a7dd3efedbf3ef89d28cebe7bc3fda85c0e618109f7005f0d819c20a2ce

Observation b1aa4cae-f201-4f9c-87bc-f92a36553a7b · inbound

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models cites this paper.

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:20.929756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:20.929756Z digest=sha256:7e0d81dced99fbe035973299467777a6ba2536e7ab120491220248cf66038ebe

Observation e71690bd-1045-4a56-88a8-0a933a3f4ceb · inbound

The Structure and Dynamics of the Online MAHA-sphere cites this paper.

The Structure and Dynamics of the Online MAHA-sphere Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:24:00.150562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T06:20:42.896217Z digest=sha256:dc51467e25076b8de1e6c227b9cc132470c44197b436d272131628c7d40a0073

Observation 2816a2df-a13c-42c4-8ac8-7e1c74533093 · inbound

Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning cites this paper.

Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:51.056495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T05:27:00.815190Z digest=sha256:c593af960c5bdbda6b3219d537ba216c12567d49ee58c884431ded9ba6533890