Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:07:47.171435Z
Paper Citation Record · LEDGER
Learning with springs and sticks
As of 15 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2508.19015.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact2
- verified fuzzy44
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9950635c-d5c8-4bb5-8af8-a109bb618993 · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning.
Learning with springs and sticks Quantifying the Carbon Emissions of Machine Learning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.912881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc740246-1d8d-4ac3-bbc6-c84d185ff15d · outbound
This paper cites Energy and Policy Considerations for Deep Learning in NLP.
Learning with springs and sticks Energy and Policy Considerations for Deep Learning in NLP
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.918800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2225b56e-88c4-4c7f-9cc3-b29be0467c51 · outbound
This paper cites LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models.
Learning with springs and sticks LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.073460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d7f917fe-73c6-4547-b339-bc044d28a801 · outbound
This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.
Learning with springs and sticks Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.927938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0992791-13c4-4594-a16c-de15054df471 · outbound
This paper cites Denoising Diffusion Probabilistic Models.
Learning with springs and sticks Denoising Diffusion Probabilistic Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.932388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0fc5c76-4cbe-49e0-ad23-5176931ba640 · outbound
This paper cites Neural networks and physical systems with emergent collective computational abilities.
Learning with springs and sticks Neural networks and physical systems with emergent collective computational abilities
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.936824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677e9e58-06e7-4a67-b2c2-2159cdb49626 · outbound
This paper cites A learning algorithm for Boltzmann machines.
Learning with springs and sticks A learning algorithm for Boltzmann machines
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.051878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 555ee69d-07cc-4aa7-a3f2-2272251e1b26 · outbound
This paper cites A fast learning algorithm for deep belief nets.
Learning with springs and sticks A fast learning algorithm for deep belief nets
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.040036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dd84373b-7a25-4beb-a9c4-c8a52595e420 · outbound
This paper cites A tutorial on energy-based learning.
Learning with springs and sticks A tutorial on energy-based learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.028316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 07fdac28-bc00-4ea3-bef1-618febcb4550 · outbound
This paper cites GenPhys: From Physical Processes to Generative Models.
Learning with springs and sticks GenPhys: From Physical Processes to Generative Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.953694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b6d49cf-0741-4cab-a018-9e5e411006fa · outbound
This paper cites Neural Thermodynamic Integration: Free Energies from Energy- Based Diffusion Models.
Learning with springs and sticks Neural Thermodynamic Integration: Free Energies from Energy- Based Diffusion Models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.016033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 97797100-54da-45fd-be7e-92f86d96c4e8 · outbound
This paper cites adaline.
Learning with springs and sticks adaline
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:48.002740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7762f7fc-4aab-4565-a68c-1c2a2ad63086 · outbound
This paper cites “Neural” computation of decisions in optimization problems.
Learning with springs and sticks “Neural” computation of decisions in optimization problems
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.990506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5110a4f8-53e7-4849-96b5-0782178fcd07 · outbound
This paper cites Neuromorphic electronic systems.
Learning with springs and sticks Neuromorphic electronic systems
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.978519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9eddd4db-5a54-4036-a0bf-fda72291cbb2 · outbound
This paper cites A Survey of Neuromorphic Computing and Neural Networks in Hardware.
Learning with springs and sticks A Survey of Neuromorphic Computing and Neural Networks in Hardware
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.974428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cf44bc2-fae4-433a-b9b7-e1790e353486 · outbound
This paper cites Memristive crossbar arrays for brain-inspired computing.
Learning with springs and sticks Memristive crossbar arrays for brain-inspired computing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.966630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 128a1d53-9b3f-4c39-b4a2-d1ccf0c68675 · outbound
This paper cites Deep physical neural networks trained with backpropagation.
Learning with springs and sticks Deep physical neural networks trained with backpropagation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.954446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 517147c0-6c20-47ee-b05e-cb21910e26e8 · outbound
This paper cites Photonic machine learning with on-chip diffractive optics.
Learning with springs and sticks Photonic machine learning with on-chip diffractive optics
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.942689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0e013fc-6103-4acf-a9ef-b34269121bf3 · outbound
This paper cites Training of Physical Neural Networks.
Learning with springs and sticks Training of Physical Neural Networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.990643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d274bce5-7175-467e-9546-a93418e05579 · outbound
This paper cites Thermodynamic AI and the fluctuation frontier.
Learning with springs and sticks Thermodynamic AI and the fluctuation frontier
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:46.994787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f950ba0-b4b1-41ad-801d-a140b255417b · outbound
This paper cites Thermodynamic Computing System for AI Applications.
Learning with springs and sticks Thermodynamic Computing System for AI Applications
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:07:47.389440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23b73b7a-7f92-46c1-ab13-b7da184d5c2d · outbound
This paper cites Analog VLSI implementation of neural systems.
Learning with springs and sticks Analog VLSI implementation of neural systems
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.930751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ba1653ba-9dd2-4888-aef5-b2a70998bf5f · outbound
This paper cites An artificial spiking quantum neuron.
Learning with springs and sticks An artificial spiking quantum neuron
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.918613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eaa6f2e6-0674-4cac-9817-a9d92f76aa98 · outbound
This paper cites Nanosecond protonic programmable resistors for analog deep learning.
Learning with springs and sticks Nanosecond protonic programmable resistors for analog deep learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.906585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9288efb0-e502-4447-bbd7-71dcd55865e8 · outbound
This paper cites The mathematical mechanic: using physical reasoning to solve problems.
Learning with springs and sticks The mathematical mechanic: using physical reasoning to solve problems
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.893992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 422d5602-792a-4a40-902b-7a247478d4c0 · outbound
This paper cites Least Squares as Springs.
Learning with springs and sticks Least Squares as Springs
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.881338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e9173ae-ef8c-441e-b076-63dad62391bf · outbound
This paper cites Optimization by simulated annealing.
Learning with springs and sticks Optimization by simulated annealing
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.869074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 72ef78b1-40d4-4954-9cbc-a93f8624f91d · outbound
This paper cites A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem.
Learning with springs and sticks A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.856329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 59fefa89-0d2c-4083-a611-c1f298ef5284 · outbound
This paper cites Environment-assisted quantum transport.
Learning with springs and sticks Environment-assisted quantum transport
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.842872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b6656fbe-2247-4472-8c6c-f8003345428e · outbound
This paper cites Adiabatic quantum computation.
Learning with springs and sticks Adiabatic quantum computation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.830745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1d8e9b90-74e4-4c78-9e70-9548e4453843 · outbound
This paper cites Nonequilibrium equality for free energy differences.
Learning with springs and sticks Nonequilibrium equality for free energy differences
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.818501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38836ed6-308b-488b-865a-ab62e423c08a · outbound
This paper cites Mathematical methods of classical mechanics.
Learning with springs and sticks Mathematical methods of classical mechanics
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.806256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4f171bbc-c102-4017-91fc-0fa4a141e10e · outbound
This paper cites Adaptive mixtures of local experts.
Learning with springs and sticks Adaptive mixtures of local experts
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.793365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6ebe8f46-3057-476e-9127-7144dddc846b · outbound
This paper cites Sparse grids.
Learning with springs and sticks Sparse grids
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.050042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74ffd657-5bbe-4315-835d-703e15cb5c9b · outbound
This paper cites Introduction to algorithms.
Learning with springs and sticks Introduction to algorithms
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.772034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 39d8b76c-65d2-402b-8730-998cd9a8c3fb · outbound
This paper cites Irreversibility and generalized noise.
Learning with springs and sticks Irreversibility and generalized noise
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.758136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5bed1316-8919-476e-be81-da85f9df5514 · outbound
This paper cites Statistical-mechanical theory of irreversible processes. I. General theory and simple applications to magnetic and conduction problems.
Learning with springs and sticks Statistical-mechanical theory of irreversible processes. I. General theory and simple applications to magnetic and conduction problems
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.745854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 28c4f364-4e6a-4b6f-b142-ce7ac3e3f884 · outbound
This paper cites Stochastic thermodynamics, fluctuation theorems and molecular machines.
Learning with springs and sticks Stochastic thermodynamics, fluctuation theorems and molecular machines
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.733044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e162d38e-1a95-47e3-bafa-d200c05064ec · outbound
This paper cites Energy spectrum of a Langevin oscillator.
Learning with springs and sticks Energy spectrum of a Langevin oscillator
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.719141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6720dfa4-b25d-462a-931b-d9c835d2e5ce · outbound
This paper cites Stochastic Thermodynamics: An Introduction.
Learning with springs and sticks Stochastic Thermodynamics: An Introduction
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.707113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e9f5e0a2-5128-46a5-bc8c-917a537b943c · outbound
This paper cites A stochastic approximation method.
Learning with springs and sticks A stochastic approximation method
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.077219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0e9e0b2-ab38-4fc5-a26c-4c99c7f2f010 · outbound
This paper cites Optimization Methods for Large-Scale Machine Learning.
Learning with springs and sticks Optimization Methods for Large-Scale Machine Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.081040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 702043a2-4969-47f5-86e5-216eba0e469d · outbound
This paper cites Continuous time analysis of momentum methods.
Learning with springs and sticks Continuous time analysis of momentum methods
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.686847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 691f8c96-f1a1-4921-b43e-8a08715eccac · outbound
This paper cites Stochastic differential equations.
Learning with springs and sticks Stochastic differential equations
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.675439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d853b8d-e9bf-4c52-8476-0ca584946329 · outbound
This paper cites Brownian motion and stochastic calculus.
Learning with springs and sticks Brownian motion and stochastic calculus
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.663663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f627d08f-9c1c-4366-b4bb-6a60a80b7368 · outbound
This paper cites Scalable gradients for stochastic differential equations.
Learning with springs and sticks Scalable gradients for stochastic differential equations
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.652114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d8e27d39-8641-400c-bf23-38d8ff34486e · outbound
This paper cites Neural Network Diffusion.
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.100813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7caaa8b7-dd1e-49a7-afdb-b3a412d7ff20 · outbound
This paper cites Entropy production in full phase space for continuous stochastic dynamics.
Learning with springs and sticks Entropy production in full phase space for continuous stochastic dynamics
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.640321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46668882-2920-4aa7-acc1-5e481919ab45 · outbound
This paper cites Entropy production in linear Langevin systems.
Learning with springs and sticks Entropy production in linear Langevin systems
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.628036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2784fab5-cb75-4331-9656-9f267fdb5a25 · outbound
This paper cites Speed Limits for Deep Learning.
Learning with springs and sticks Speed Limits for Deep Learning
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:07:47.341639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b88f97c9-38f7-4c3d-8de4-f1f644ee5c4a · outbound
This paper cites Irreversibility and heat generation in the computing process.
Learning with springs and sticks Irreversibility and heat generation in the computing process
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.615545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d725608d-3199-448d-900b-579738829491 · outbound
This paper cites The thermodynamics of computation—a review.
Learning with springs and sticks The thermodynamics of computation—a review
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.601995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9f323ce3-b20e-4b64-84ec-99b50a717c0c · outbound
This paper cites Notes on Landauer’s principle, reversible computation, and Maxwell’s Demon.
Learning with springs and sticks Notes on Landauer’s principle, reversible computation, and Maxwell’s Demon
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.590241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 623e2a15-b60c-446c-99b5-4b7a6839ab5b · outbound
This paper cites Stochastic thermodynamics of learning.
Learning with springs and sticks Stochastic thermodynamics of learning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.577541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b9bb0fc-5b1e-4993-bdaf-7f778ef88d88 · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Learning with springs and sticks Deep Learning Scaling is Predictable, Empirically
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.135122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2df6eec3-a580-4ef6-bfe7-8bb9a79299b1 · outbound
This paper cites Scaling Laws for Neural Language Models.
Learning with springs and sticks Scaling Laws for Neural Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.139521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f97a14af-b599-4338-80f2-86e9fbdf4141 · outbound
This paper cites Explaining neural scaling laws.
Learning with springs and sticks Explaining neural scaling laws
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.563368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1a3a8d48-f0df-4aa4-a1db-6b7c420f1576 · outbound
This paper cites Lagrangian for RLC circuits using analogy with the classical mechanics concepts.
Learning with springs and sticks Lagrangian for RLC circuits using analogy with the classical mechanics concepts
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.551067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8775b714-9446-44f2-b578-6efc9e73a40d · outbound
This paper cites Exponential quantum speedup in simulating coupled classical oscillators.
Learning with springs and sticks Exponential quantum speedup in simulating coupled classical oscillators
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.538682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ce0ecb1-6b2b-49c1-bf72-cbe12c232e91 · outbound
This paper cites High-order quantum algorithm for solving linear differential equations.
Learning with springs and sticks High-order quantum algorithm for solving linear differential equations
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.525861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation acae3f74-dd1b-4d7b-ab43-9f6b5f6c232c · outbound
This paper cites Quantum Algorithm for Systems of Linear Equa- tions with Exponentially Improved Dependence on Precision.
Learning with springs and sticks Quantum Algorithm for Systems of Linear Equa- tions with Exponentially Improved Dependence on Precision
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.159090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04333371-6de9-4046-93c4-23f13c89e5cf · outbound
This paper cites Quantum algorithm for linear differential equations with exponentially improved dependence on precision.
Learning with springs and sticks Quantum algorithm for linear differential equations with exponentially improved dependence on precision
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:07:47.512734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7721cf6-f77d-4b99-a06e-76c4a584e36d · outbound
This paper cites Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling.
Learning with springs and sticks Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.167289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7e1fee3-7591-4e90-8322-86d2094edbc2 · outbound
This paper cites Fast quantum algorithm for differential equations.
Learning with springs and sticks Fast quantum algorithm for differential equations
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:47.171435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.