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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:46.897443Z digest=sha256:0f59368c89cadd9a51dfd0dad6d43036778e86115a18e49a1f6a884b51643dde

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.050603Z digest=sha256:de638115b7b94c25f95a7306ddc0399720c07a70185d155596c7a6cf757e2788

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.184338Z digest=sha256:3470796b549f91653b5f76f730b798668e0831bbea26ee6b7077e6df4fad2bc0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.131824Z digest=sha256:5eba4da201368237642cda81be97a761447e3e177fbcb18ae9a44969876e5610

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.327416Z digest=sha256:10caf6a7d2040cdd6547b5c93be980318619014afaf8e0bd948dbcf6b06ce3c9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.376285Z digest=sha256:6fafa8f1f93eecf03d7147d26221ef7cf675f35a9ad94771e97b2ae21c9ea885

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.471230Z digest=sha256:383f659ed496f3641b6f478672a059be0c18fad244b6cb9297d6ab5851363fb7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:47.566279Z digest=sha256:615129002bed7023f7126a72ea839768c006ed3dc883648ebe1bad5e68acc11f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:16:46.784487Z digest=sha256:c1eb4206d34c1033d2c289702de1167ca5a3acb522c5f22362993bfda9f1d951

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T12:34:29.808503Z digest=sha256:b2d48ab56f53afcf6fc2ec88986cca9194ee28ad6c180a2190c7eff9ab1845aa

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T08:01:39.412431Z digest=sha256:804729143bb834fbcd516e157cf232fa355c20c23451f27652264136d8df1e1a