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Paper Citation Record · LEDGER

Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.16633.

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

pith.paper-citation-record.v1
2305.16633 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:23.291860Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:14:29.090546Z

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 388ed597-40b9-42c2-8a2a-97b6aff4317e · inbound

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:14:29.160883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:14:23.291860Z digest=sha256:234508988f883c7d92dff67b8c0b278fd49d7934fc79e872c5cd89eb8a86a7e9

Observation 5a125956-ac39-4fd1-a9e8-7cc91a1db81c · inbound

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? cites this paper.

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks

Reference 179

Resolution
unresolved
no resolver link, observed 2026-07-30T16:01:42.538629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:01:42.538629Z digest=sha256:8e6167132bb230aea1cc2fb51e7c8a1cb64b21844a2289caf950893cf96c1fbd