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Paper Citation Record · LEDGER

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:5de8712bafc43ff42f3972ec221b9a627f49bf9e65f0ad56f70b970875621456

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.220893Z digest=sha256:2952438060dbbd0765077eb42ac48f011b65dd0f6b8833b1e07cf9207dac699e

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:d51f9515516f47e6759105fa14b74fdfefb4f951183319be7e56570d2eeb05a7

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.225976Z digest=sha256:028a989e2679e52ab373a7a14a4da20c14dffa503381ce55450e33ae27286fa7

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:b26a2a7b020f17dec6b6d091630555beafa1693e31f36c84cb3053f8ff6258d3

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.231627Z digest=sha256:73982ef1074a409d97cd92efa885b1cd15d694abc586dbd2780ab35db5330299

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.234078Z digest=sha256:187641578fcaca195af9d2513b8271fe22c160d8b017b503bd7642aeec9f87d2

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:a72b18c9648ba9a8c37074e307316fb625e5c2594cdce2ea222e07de80949457

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T05:56:20.238993Z digest=sha256:3543a6232ac91cbd1f2673942735c91f33c22ac41f2ad932afd658e4c42d6313

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:b70c8d4695b3ab524385f69560d5715f80aae964f9de22f1f7b90da7763e93c2

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:d7baec631794ef3d7bd49e5c76b724e095376114d52fdaf561dd054e01cddc93

Pith citing papers

No inbound Pith citation observations are available.