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Paper Citation Record · LEDGER

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality

As of 16 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2506.06622.

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

pith.paper-citation-record.v1
2506.06622 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:20.244095Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ccdd71e-845d-468b-af0b-1876526f1bc4 · outbound

This paper cites GPT-4 Technical Report.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.217367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.217367Z digest=sha256:ef734fe086f20a70c092dc353b92791ea38ff102a9e4760c542604c718679537

Observation 885ba481-ae71-415f-b090-44165362160f · outbound

This paper cites Ai in finance: challenges, techniques, and opportunities.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality Ai in finance: challenges, techniques, and opportunities

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:20.325897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.220893Z digest=sha256:5e4519d55057c18aa1d7a4c8706051e5070a546bc521a7c8ce98cceeb8d2b20c

Observation 03ba6bf5-718f-4762-9a32-867d33dc6fb1 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.223505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.223505Z digest=sha256:8c7e41f1755fb95283b323c466d34c45e01d65583e769dd23c4f6e607dd8b02e

Observation d956a45f-9a9b-4d3e-8967-a3d10fe05ce2 · outbound

This paper cites Large language models in finance: A survey.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality Large language models in finance: A survey

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:20.314189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.225976Z digest=sha256:00e550d56450c54f30a5489aabcfae3f3cd5d9028717ce4ae0907bfea07b91a8

Observation 154853b8-6322-49bb-b79d-14c1df20258f · outbound

This paper cites DeepSeek-V3 Technical Report.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality DeepSeek-V3 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.228770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.228770Z digest=sha256:5147ca0867eb91d1caf578c9f10f968352ef322891df851c1b5d776c35ec4a68

Observation 611fc67e-8e5d-464d-bc85-2f2691fe74e5 · outbound

This paper cites an unresolved cited work.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:56:20.306707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.231627Z digest=sha256:8e615d9fb6178b9b2466c40596ff502516800bc95de72b7885ebad1b31aac9e9

Observation 25e53ac5-1545-47b3-a1d8-999d15990a97 · outbound

This paper cites U nsal, E., \.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality U nsal, E., \

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:20.299338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.234078Z digest=sha256:877cd3aab8e2854a3d9404957e9aa4d49c660f12183d14b4da78d3bb86cfe63c

Observation e5126503-f0ed-497c-a9a4-dc7349f315cb · outbound

This paper cites V., Zhou, D., et al.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality V., Zhou, D., et al

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.236567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.236567Z digest=sha256:85f9da1f7d3384426efc846f41ebe88131187c6005b3d208fbf78a8a555131c1

Observation 209c06ba-2c1e-49e8-aac7-8648f98c834d · outbound

This paper cites Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:20.287749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.238993Z digest=sha256:d04a1e6a7bbaf439ccf05fae388c2024128f135eb97b0b937f62b9e4a0bae6c2

Observation 57de4678-2a0c-4dd3-afcd-6620e5b3d890 · outbound

This paper cites HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.241336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.241336Z digest=sha256:e09473e4bf3409378134dc7959aa024eae7e5f00b724a404dd3a25c62dc3ba24

Observation c3038ee1-d1a4-4b1d-9118-c7adfc2dd538 · outbound

This paper cites write newline.

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality write newline

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:20.244095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:20.244095Z digest=sha256:011111891a95568e0f4d01da3e64a0dd261e3d816a01e0a3269a83a09d8e6c62

Pith citing papers

No inbound Pith citation observations are available.