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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:46.897443Z digest=sha256:a780f84ee2a847107a533ca9eb9f21f49830437ddb54e037a43155244bf9eb19

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.050603Z digest=sha256:f05a329abacb39bde172fedcacdecb7b8f588407b232d844d21b81215edd57ed

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=sha256:2af346ebdf7789879eed1fe4d99cb2ca904caa1299118bd268d0b6ecd1d5735c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.184338Z digest=sha256:1eca3fdaf294549fc6d9d1305a4434fac7a1117308592c9f7d981fe2b4ec02ad

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.131824Z digest=sha256:a11a6b076176b4f97bde8caf148381ece7ba2b0f2b85d7c3600229f672acc9bb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.327416Z digest=sha256:82f9e38caf846024bd79f58eeb690a22ed415aea9bef3996d79cadcce9b02047

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.376285Z digest=sha256:620d77a381a4cb9400808be1e8d84acc5d9d74f5b642b665a0e4e5d513c74e77

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.471230Z digest=sha256:e154ff9af981c1e75c0c8f6d2f38ee74e2b77d11e078acfa6a568152eba6a19d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:47.566279Z digest=sha256:c817e7029c584c78474496345e791e3d117cfd97214595fcad172d0c73aaa5cb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:16:46.784487Z digest=sha256:b66621ed281388dccbac958cf5abb222ce1caa12b45c8fd1b25a5bbc636d66eb

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=sha256:3da80205be99688381d3fb9fc6c98b6bd5bb225c59ae41cf5a2b5e84c9e8a6f7

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=sha256:184ad7602a1acc0242b0fe3e2d2f54f357e49e1c6a59695a24ef632870734cbc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:34:29.808503Z digest=sha256:b6f68b5e77e0f87c1b4439ea847b74a795bcd9c45102bee999f697233644f397

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T08:01:39.412431Z digest=sha256:b028ab55fb86cf208a5d1a2e297b40a4cd4407810a9e16c6f7e21a472faaecd7