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Paper Citation Record · LEDGER

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.06852.

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

pith.paper-citation-record.v1
2411.06852 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:10.617240Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:33:49.954193Z

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 87252b67-faf5-4cb2-908a-add57ef2c29e · inbound

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance cites this paper.

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance Evaluating Large Language Models on Financial Report Summarization: An Empirical Study

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:10.617240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:10.617240Z digest=sha256:7737a3479a12cd2369526ea8fafe88dded3246de8d2c57042e24bbe6e4b93dbd

Observation 36d2a885-3988-4a35-9f03-2d68c7ae7146 · inbound

Agentic Retrieval of Topics and Insights from Earnings Calls cites this paper.

Agentic Retrieval of Topics and Insights from Earnings Calls Evaluating Large Language Models on Financial Report Summarization: An Empirical Study

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:33:50.050551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:33:46.994770Z digest=sha256:0e6597804efa6a65cac2c28e139a62363b8eac5aee977cdb24791ab48ee9f6db