Paper Citation Record · LEDGER

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2603.24779.

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

pith.paper-citation-record.v1
2603.24779 v3

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T18:39:30.627856Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 30ac9fd2-1623-4694-ae38-f4ea1c0440c5 · outbound

This paper cites Phi-4 Technical Report.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Phi-4 Technical Report

Reference 1

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Observation 1ee587e6-5d62-4edf-85f0-e362997f55be · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 2

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Observation 9188c2a1-aea5-40cf-955f-a0c64e354a7f · outbound

This paper cites Extrapolation by Association: Length Generalization Transfer in Transformers.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 9422bb43-59f1-429c-a47a-e52c6e25a2e0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Training Verifiers to Solve Math Word Problems

Reference 4

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Observation 36ca9861-db39-43dc-a657-f36bad6b5c06 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 611636ad-2777-4084-9321-8ff3595d7d2e · outbound

This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation ee2147da-b571-4045-b463-7466d7653730 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 03e6d3b0-09c2-406e-b120-5b124c53c2ff · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 3097584f-d015-4fb0-af4e-2d8cc5c14081 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Training Large Language Models to Reason in a Continuous Latent Space

Reference 9

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Observation f4ce79f2-5bb6-4dcc-a64a-9eb76f3aa8a4 · outbound

This paper cites Scaling Laws for Neural Language Models.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Scaling Laws for Neural Language Models

Reference 10

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Observation 876bffe4-7518-4123-b4e3-a75bd0c59b54 · outbound

This paper cites Khalifa, R.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Khalifa, R

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation def9bda7-362b-4e82-aab9-4ffdc28d5318 · outbound

This paper cites The Llama 3 Herd of Models.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation f65d9818-c4bb-4e34-87df-47ada06be78f · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation dae58899-1e7d-42fd-a65f-de6416cb8ee8 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation cb9ea41b-8433-4be9-a8c7-d4a097ea591d · outbound

This paper cites Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLM.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLM

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 233da9e9-7110-42c9-aab1-b52e7f8ccdd7 · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation c292a3a4-14d6-4f75-b6c5-06d85f7c3974 · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation b76e1a95-0eb6-4e00-a649-397d3d11821e · outbound

This paper cites In addition,��,� �,� �, and� � are visitable nodes.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii In addition,��,� �,� �, and� � are visitable nodes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 3f6f2013-b5cc-4716-89b3-29ea7fb74ac5 · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 15d1bbd8-f178-4007-b853-f0b89b8771c8 · outbound

This paper cites The maximum sequence length is set to 10,240, and training is run for one epoch.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii The maximum sequence length is set to 10,240, and training is run for one epoch

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 5d11be59-8f1d-48a0-96ea-15d398d3f9fd · outbound

This paper cites LoRA is configured with rank 16, scaling factor 32, and dropout 0.05, and is applied to the main attention projections and MLP projections.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii LoRA is configured with rank 16, scaling factor 32, and dropout 0.05, and is applied to the main attention projections and MLP projections

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 7c19bd41-7c2a-4398-a1fa-a8597eb39f6b · outbound

This paper cites an unresolved cited work.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation ab1b2b0b-ab2a-47de-bc20-bf517abcb0fb · outbound

This paper cites As shown in Figure 18, these results follow the findings observed in the previous experiments.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii As shown in Figure 18, these results follow the findings observed in the previous experiments

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation 661fd8eb-d2c3-442f-8a10-03043d6c82b9 · outbound

This paper cites A gray dashed line indicates the setting used in training.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii A gray dashed line indicates the setting used in training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Observation b785f0a6-6e39-4402-bb9a-6033d9b5b89d · outbound

This paper cites A gray dashed line indicates the setting used in training.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii A gray dashed line indicates the setting used in training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T18:39:30.627856Z

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Pith citing papers

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