Paper Citation Record · LEDGER

Scaling Laws for State Dynamics in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.14892.

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

pith.paper-citation-record.v1
2505.14892 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:30.831784Z

measured 23 of 23 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

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58ff29bf-8fb8-42bb-af33-5f7326dca3ed · outbound

This paper cites URL http: //dx.doi.org/10.1109/SMC52423.2021.9658917.

Scaling Laws for State Dynamics in Large Language Models URL http: //dx.doi.org/10.1109/SMC52423.2021.9658917

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.731617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d105e1b5-ae78-44d0-aa47-bb1ac35e20fd · outbound

This paper cites Kenneth Li, Aspen K.

Scaling Laws for State Dynamics in Large Language Models Kenneth Li, Aspen K

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.765746Z

Source-reported events for the cited work

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Observation aca44584-9992-4b54-bdec-99eabd0846c0 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Scaling Laws for State Dynamics in Large Language Models LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.770536Z

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Observation 41eb134e-2757-4c52-8cc1-c34d9860df28 · outbound

This paper cites Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking.

Scaling Laws for State Dynamics in Large Language Models Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.782712Z

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Observation 0379451a-27f3-4bca-a956-ec490c5e5a5a · outbound

This paper cites StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking.

Scaling Laws for State Dynamics in Large Language Models StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.787415Z

Source-reported events for the cited work

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Observation 917411e7-1f92-4d83-9992-771973fbe380 · outbound

This paper cites Are Emergent Abilities of Large Language Models a Mirage?.

Scaling Laws for State Dynamics in Large Language Models Are Emergent Abilities of Large Language Models a Mirage?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.792544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4916bfe0-7776-47c4-b926-87bbca01b910 · outbound

This paper cites doi: 10.1038/s41586-020-03051-4.

Scaling Laws for State Dynamics in Large Language Models doi: 10.1038/s41586-020-03051-4

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.797265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 720b87d2-70f7-4535-a7f3-a26d5ff6954d · outbound

This paper cites Generalized Planning in PDDL Domains with Pretrained Large Language Models.

Scaling Laws for State Dynamics in Large Language Models Generalized Planning in PDDL Domains with Pretrained Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.801940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae1d3a3-2fd2-46cc-80ed-5897d90258b2 · outbound

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

Scaling Laws for State Dynamics in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.807035Z

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Observation 45ef27d1-5064-4dff-98ae-44004bbc8bbd · outbound

This paper cites Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions.

Scaling Laws for State Dynamics in Large Language Models Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.811659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ec901c-9032-4368-b14f-02d5385e3b1c · outbound

This paper cites Attention Is All You Need.

Scaling Laws for State Dynamics in Large Language Models Attention Is All You Need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.816208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd73dec-119f-4d09-8989-357aa6fb94db · outbound

This paper cites Emergent Abilities of Large Language Models.

Scaling Laws for State Dynamics in Large Language Models Emergent Abilities of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.821285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2477225a-6521-4730-932a-7e596e43ab74 · outbound

This paper cites Explicit Planning Helps Language Models in Logical Reasoning.

Scaling Laws for State Dynamics in Large Language Models Explicit Planning Helps Language Models in Logical Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.826839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef47fe4-1053-4639-9afc-98c1fffbcfd7 · outbound

This paper cites watch” was initially in “Box A.

Scaling Laws for State Dynamics in Large Language Models watch” was initially in “Box A

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.831784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf85e1c8-e700-4e9e-b47a-009cf6c71426 · outbound

This paper cites Selecting the State-Representation in Reinforcement Learning.

Scaling Laws for State Dynamics in Large Language Models Selecting the State-Representation in Reinforcement Learning

Reference 2013

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:31:31.137168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4e59f3a-0e93-426b-8dfa-409ca6d7d1e8 · outbound

This paper cites URL https://zenodo.org/record/1207631.

Scaling Laws for State Dynamics in Large Language Models URL https://zenodo.org/record/1207631

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.743091Z

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Observation 458045ac-478d-49df-a15f-6282cecf11a6 · outbound

This paper cites Learning Latent Dynamics for Planning from Pixels.

Scaling Laws for State Dynamics in Large Language Models Learning Latent Dynamics for Planning from Pixels

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.748066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56e0eba3-9e50-4b6f-a5ce-add94917eace · outbound

This paper cites Language Models are Few-Shot Learners.

Scaling Laws for State Dynamics in Large Language Models Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.721542Z

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Observation b2f2b458-9ddb-4d8e-98c1-bf3eeafa09fc · outbound

This paper cites Decision Transformer: Reinforcement Learning via Sequence Modeling.

Scaling Laws for State Dynamics in Large Language Models Decision Transformer: Reinforcement Learning via Sequence Modeling

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.726332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c426fff8-a316-4864-97ae-3a1b5320e1ed · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Scaling Laws for State Dynamics in Large Language Models Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.715922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7af2790-07a3-401f-a780-ea76db4044a9 · outbound

This paper cites Entity Tracking in Language Models.

Scaling Laws for State Dynamics in Large Language Models Entity Tracking in Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.760228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f69f02-b949-471a-b5d2-8840ae3e50e7 · outbound

This paper cites Mastering Diverse Domains through World Models.

Scaling Laws for State Dynamics in Large Language Models Mastering Diverse Domains through World Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.754502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3216c701-fbca-4c13-a6bc-8ea5c16ca9b9 · outbound

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

Scaling Laws for State Dynamics in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.738211Z

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Pith citing papers

No inbound Pith citation observations are available.