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Paper Citation Record · LEDGER

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.06634.

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

pith.paper-citation-record.v1
2408.06634 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:21.634320Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T00:33:44.201685Z

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 6340984b-fd83-4235-8440-f89f472a542f · inbound

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools cites this paper.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:21.634320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:21.634320Z digest=sha256:4f13c2c41fbc876f5ad1f39baf1e97ca59fd93c5a6b21ee64c5daf7826a55ee8

Observation de2a3c38-0cf6-46c6-b03b-01623a4b5079 · inbound

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models cites this paper.

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T00:33:44.206928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T00:33:43.935367Z digest=sha256:3f9040947528b21ec60e01bc88d62a290645ac30de27c49382fa1f9c95e9bf8f