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Paper Citation Record · LEDGER

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2507.06057.

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

pith.paper-citation-record.v1
2507.06057 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:16:47.566279Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:01:39.412431Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:13.950481Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d1c6812-fcdc-487a-8239-8b8200aa3a3f · outbound

This paper cites When the financial liability is derecognized, this portion should be reclassified from OCI to profit or loss.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models When the financial liability is derecognized, this portion should be reclassified from OCI to profit or loss

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:16:47.790520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:46.897443Z digest=sha256:7c9d24ced882f727ee8775cdf37f7b8a49df723e3c2ecd8ad984d0022e4570c0

Observation 618770a1-11f5-4d80-9e63-d105177e0587 · outbound

This paper cites If the hedged forecast transaction ultimately occurs, these gains or losses will be reclassified to profit or loss in the future.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models If the hedged forecast transaction ultimately occurs, these gains or losses will be reclassified to profit or loss in the future

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:16:47.784134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.050603Z digest=sha256:18ddb0954e759f64e244e276ffa1ab2e83e4924eddb9726fe9e07e027f52f2ca

Observation c67824aa-4abe-4a17-bc89-c13e4e8605c0 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:46.684066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:46.684066Z digest=sha256:40f04625f725d2cefe8b52a2f7140e3cbb0f6a10e8b502b128919bd189679228

Observation 930e6eb3-90d8-4cd6-ac9c-2f13ec66009e · outbound

This paper cites an unresolved cited work.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:16:47.769307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.184338Z digest=sha256:4902ea4bebafcfd07f88fcc7638a3bbffc7df82fd77ad2ee1bf3127921705b51

Observation ff16cbad-2584-4aa0-b6e6-072ad94f891f · outbound

This paper cites an unresolved cited work.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:16:47.776461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.131824Z digest=sha256:27951382fa434cea45423970705276b1f3ca5ed3d266c2affdbd2d5240d76dfb

Observation 25771fe7-1d2d-476c-8e8c-2e80f57738b9 · outbound

This paper cites an unresolved cited work.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:16:47.762513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.327416Z digest=sha256:4eb7fe3fb1d68379c126681b64ce182fca45c1be907589bab4b73b9c2b1000e9

Observation e0621e3d-57c7-4393-a2d3-336f7e2ca8f6 · outbound

This paper cites According to accounting standards, the effective portion of a cash flow hedge should be recognized in other comprehensive income.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models According to accounting standards, the effective portion of a cash flow hedge should be recognized in other comprehensive income

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:16:47.756157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.376285Z digest=sha256:7dc3ff0d5e327f36623f269646599d0f6eba37c0c5efcf4a65b478297850eff5

Observation 52118ab6-92c1-4e18-9da2-e52180cce90f · outbound

This paper cites an unresolved cited work.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:16:47.749202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.471230Z digest=sha256:9c2a1223f867061862e08c6de41eec91b189cee6e7168fb5709749780b630714

Observation 81057d86-7a26-42b4-b36a-3684ce4377a5 · outbound

This paper cites According to the treatment of defined benefit plans, the remeasurement component, such as actuarial gains and losses, should be recognized in other comprehensive income.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models According to the treatment of defined benefit plans, the remeasurement component, such as actuarial gains and losses, should be recognized in other comprehensive income

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:16:47.742346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:47.566279Z digest=sha256:ef0727fbd8b5d3c54ef495ed5c3d768ce1a55bf3fc39eb209c4bd844e4993a08

Observation 44d639c8-6d31-4512-971b-dbce30cc2fca · outbound

This paper cites an unresolved cited work.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:16:47.796562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:16:46.784487Z digest=sha256:c8147596a7f81ed1b684e529f26f002ec77822ca10542d3c9ac20b97d6350dd4

Observation c5930958-be6b-4d2a-8696-9ea3584a674c · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:46.598497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:46.598497Z digest=sha256:e1b5414024fcfd381d07c6e9218d305e3a641a8bfd94893ecdebe3fd09ca89d3

Observation 234f2e0c-ae32-4dd6-a5b9-87ade331ff2f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:46.543058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:46.543058Z digest=sha256:0551b8c53a4e3f129f955efef8fb517d204dd95b655507d18f7e65ff637fac0d

Pith citing papers

Observation 9a4dac74-b6ec-47ea-b79b-088e8a618901 · inbound

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration cites this paper.

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:46:34.959541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T12:34:29.808503Z digest=sha256:6fb14e7a83d178f050cb4a3177a0361815c07e02e958aeec77ae57532e0a9866

Observation e7e70a66-3e3b-4df3-9a3b-85d3fc402b9c · inbound

Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models cites this paper.

Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models FEVO: Financial Knowledge Expansion and Reasoning Evolution for Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:13.952155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T08:01:39.412431Z digest=sha256:e4dd869ef600c781f1f6b40dd562528669a8478bb7a250194393b52e05dece4d