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Paper Citation Record · LEDGER

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.12856.

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

pith.paper-citation-record.v1
2405.12856 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:50.865109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:14.507119Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 07cbc95b-0225-494a-8ffc-ad5e2c89af10 · inbound

Food for thought: How can machine learning help better predict and understand changes in food prices? cites this paper.

Food for thought: How can machine learning help better predict and understand changes in food prices? LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T19:41:06.492230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:41:06.492230Z digest=sha256:d323ddcede1bb5739d284aa08e6349da28a5bc4976afb8b9341f52daf9799911

Observation c27159c6-957f-4183-8bbc-4e7b5ace9c33 · inbound

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration cites this paper.

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T19:21:23.563664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:21:23.563664Z digest=sha256:1e770afff3f078b401bbe99171b7ea3ac2f8452f80c773b7733b4e5a32cb02ff

Observation 2834a93b-b00c-4a3d-b7a2-df47a5cf1fee · inbound

Financial Fine-tuning a Large Time Series Model cites this paper.

Financial Fine-tuning a Large Time Series Model LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T16:43:21.311380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:43:21.311380Z digest=sha256:567b7a9257d7ade05a2642571c255cf5a65e144449a9c891c2763b616cf99cb6

Observation 882aeca8-3b24-46d1-bc10-8f1058cb3e44 · inbound

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models cites this paper.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:43.360460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:43.360460Z digest=sha256:96b14533ce5b0e6028fd6261200225cac9c0d5404c71a8d8732cfd5ccff2cf21

Observation 8f82cdd9-918e-433e-b114-a39c971a8bc6 · inbound

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints cites this paper.

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:50.865109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:50.865109Z digest=sha256:3502a22de05ecc0a1d6ba284179528556f675e97c026e91e80792e059b24b2cb

Observation b9979ffe-d6b2-4dd9-8107-f29a7b37c92b · inbound

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:25:51.097880Z

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=2026-05-10T18:32:12.396568Z digest=sha256:42a9451e8930b35a6bf7069317bbb654b9a61cab2640062ba14fd2e5087f5dd8

Observation 407d7516-a340-4c2d-b0f8-e35da9ae1c7f · inbound

VESTA: Visual Exploration with Statistical Tool Agents cites this paper.

VESTA: Visual Exploration with Statistical Tool Agents LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:56:10.511231Z

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=2026-06-28T21:58:11.339217Z digest=sha256:7a50ca3e95119de415f4d4fcad930651e312252bb77d30cb979ce31f7536a1c5

Observation 8c9ed4ee-7ba7-465b-826c-3becbf75f01f · inbound

ForecastBench-Sim: A Simulated-World Forecasting Benchmark cites this paper.

ForecastBench-Sim: A Simulated-World Forecasting Benchmark LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:09:14.509495Z

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=2026-06-26T21:28:29.509543Z digest=sha256:baa096a29843f86009e35237381c58638a7115cb12558e7c572778a2cae06d04