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Paper Citation Record · LEDGER

A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.02295.

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

pith.paper-citation-record.v1
2306.02295 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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:02:09.737832Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T18:00:50.312611Z

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 858584aa-a38c-4edc-9057-951a1a136c6a · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.315291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:6c5196cc3469beeba597d49952826ef906fae118bdf7fe2c482928fbd50e068d

Observation 32cb257e-289f-4978-8db1-3a55a075f201 · inbound

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity cites this paper.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-11T20:02:09.737832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:02:09.737832Z digest=sha256:1e95216e4e39ea2cc09c55a39c780d5e7300367234a42b24e2dfc118baf38fbc

Observation 350fad26-4169-4a9e-8d13-1cf69f8827b5 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T16:39:14.280243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.280243Z digest=sha256:74dc1fd4e785f22c30e89f3ad5d4e7ccaa5c03cf24d0246cf4a629562c4d54ba

Observation 1a9bf078-e1f9-488a-8e73-b9a6f0b24486 · inbound

What Makes a Good Natural Language Prompt? cites this paper.

What Makes a Good Natural Language Prompt? A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.171268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.171268Z digest=sha256:5b56faaf3e7de219699bb344e537581b0f5e4ce99471206be27a137f0e414199

Observation df02ea31-9c72-4cc9-aa88-f4c37f7eec81 · inbound

Power and Limitations of Aggregation in Compound AI Systems cites this paper.

Power and Limitations of Aggregation in Compound AI Systems A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:53.093539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T21:09:53.093539Z digest=sha256:56d34295e93b29086eea92e7e5b11b297d2cfbc22739fef10a8e99c2ed1e1270