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Paper Citation Record · LEDGER

Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.05799.

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

pith.paper-citation-record.v1
2401.05799 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:24:00.080353Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:12:20.798066Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ce0b0aaf-cf57-4260-be92-f76ea261d088 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-08T19:24:00.080353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:24:00.080353Z digest=sha256:a9725613c5f1b389ab429c69ef1e7327c6789ea3e13c738ce0478e520ab14269

Observation 2b207378-b4ec-48f9-a0a7-760ff553461e · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:12:20.800427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:82574c91ade05bcf105492c31fc1144e8df8182d480b3d92fcc9320870e65ff5

Observation d5642dde-b820-4321-b5c4-1219b425b296 · inbound

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient cites this paper.

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T17:47:38.762403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:38.762403Z digest=sha256:97202e6a8ac871012ac74fa4d1970933195a9d0e263d2ca8b113c016bc7924f7

Observation 5729bd21-93f7-4e45-a202-4d714e352537 · inbound

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism cites this paper.

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:12:19.891022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:12:19.891022Z digest=sha256:7fb72d96f91d244c763dd7335c6b97fa69fb081431761ab7d5a37949df748d6f

Observation eefabf98-0142-418b-9a1f-2b26bf2a75f5 · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents Designing Heterogeneous LLM Agents for Financial Sentiment Analysis

Reference 218

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:18:20.418110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T18:18:19.911342Z digest=sha256:7d5c7e64e02fdeadfcd7b6289b86544caa5ad008cc7cbea3f2fff273465db1fe