Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:18:11.899262Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2507.05279.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:18:11.899262Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 30d68132-8c93-4100-b7c6-a70612f4f41b · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Attention is all you need,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a20d49c-2790-46fb-bf81-9cb386d9468d · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy GPT-4 Technical Report
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9abbdc12-49e7-40b2-ab56-9e0ba2d52bfd · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Improving language understanding by generative pre- training,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a667019-53e1-4853-a227-91d5b15e391d · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Language models are unsupervised multitask learners,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bda7b3f-cc8c-4ec2-86f5-1415d7c5db17 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Language mod- els are few-shot learners,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d8992bb-a0c2-4f62-8f38-55160785c1af · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The Llama 3 Herd of Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73e9a5b7-cfd0-47d0-956b-c15963f7284a · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 909e0646-e140-4862-a4e3-c6abeb365842 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1ae5750-644f-4d73-a609-aac009aea65f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Evaluating Large Language Models Trained on Code
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c013a8d-a34b-4e9e-923e-f5a64e4123bf · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 673a5843-5c5d-49a2-9ca8-178f782f71fa · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The “echo state
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dd6a33fb-b53b-4c22-8965-e4ff3d3e23a6 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy GPT-4o System Card
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b0cdb02-f6b4-4f3e-8ea8-7591eb34034e · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 059fee0d-ac4a-45bd-88a8-1d4010e6ecf6 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Reservoirpy: an efficient and user-friendly library to design echo state networks,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c804af0-78bd-4e91-90e4-704225af29a2 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Create efficient and complex reservoir computing architectures with reservoirpy,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 174a163b-d5cc-40fb-a17a-64a189ba8e31 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 306ea8bc-234e-4e86-bafe-dd53aac7ae03 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Which hype for my new task? hints and random search for echo state networks hyperparameters,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 465a1058-44f2-4641-8530-78d9cbc7ae6c · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Nomic Embed: Training a Reproducible Long Context Text Embedder
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5afd4c71-6c14-4535-a0c5-a0e49561b858 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Retrieval-augmented generation for knowledge- intensive nlp tasks,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 89cfaea6-9cca-493b-b7e5-62fa497e4f77 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5786ae53-e663-4bcf-8f6b-83a13b7adc6e · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Codestral: Hello, world,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cbe1b50d-8ba8-488b-b9ac-38af7eedbce0 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Knowl- edge graph completion: A review,
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 35fdbd60-a9b3-4e33-8c5b-4b6ffa173877 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy From local to global: A graph rag approach to query-focused summarization,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dae82205-3e64-4a22-8209-6095fffb2838 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy From louvain to leiden: guaranteeing well-connected communities,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 164936b4-c3d6-4d45-af64-b54fbeff9963 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Introducing notebooklm,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e1b4cd78-2b56-4436-b1c5-04657abee22d · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a522e7c-8f53-4791-b698-0779dbdef32a · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The Effect of Sampling Temperature on Problem Solving in Large Language Models
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8bbc5b9-ea8a-49f0-99ec-a67bedb88207 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Mistral 7B
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2e4e614-aa0b-4986-82f9-96125b2aa947 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Mixtral of Experts
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 738bf742-d8df-4b43-bfd2-e396044c6b68 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Deploying Open-Source Large Language Models: A performance Analysis
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 41468e32-5b7e-4c85-b232-51f68dd8517f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A place where anything is kept in store
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1a464e73-04f2-4ae4-aaa1-a081d2744d1e · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A machine learning paradigm for timeseries
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f489e41-5764-4817-87ea-a627aa2363ec · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A linear regression that models the Markovian process of a support vector machine
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8570f05c-83c2-4f85-b142-8f51e77546f8 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Video segmentation
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 273af6ec-a47e-44d0-bc0c-cfbabd737f31 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A task with small univariate dataset
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d45eefa7-f45f-4b4a-a332-5f8a469c0ea8 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Around 1 thousand neurons
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ee591bfb-e238-4ee0-ba0d-391d7a42061f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Reduce the computational cost
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d52e8f7a-996b-4013-b76d-e3a70deae53c · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy They can be randomly initialized and then scaled to have a specific spectral radius
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d9d917a3-27ce-41d4-8a3a-b4c400957103 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Reservoir Computing is a type of recurrent neural network model based on the philosophy of the echo state network
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbb84890-9996-4884-99c4-5a620cb22811 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy No, an echo state network is not even a form of Reservoir Computing
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5edff12d-e0e3-4fe1-98e0-2e9f19905e02 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy An architecture in which the reservoir part is a pool of spiking neurons
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ef7016be-3e91-4bf5-b1c0-25ffa9208bfd · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Because it is common to add noise (and thus chaos) to the reservoir in order to stabilize its activity
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3f6e8dc-d9b6-4fc8-aadc-ce485637a2ba · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The echo state property allows the reservoir to operate with chaotic behavior to enhance computational power
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 99942d99-ae45-42f1-8427-eb723eacf92d · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The spectral radius of the recurrent weight matrix, the leak rate, the input scaling
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a2fd358-dd5c-4946-b25c-6b86750cc139 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0eccbd4c-02cd-4e44-9f59-4cf117d0d012 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The results between two differently initialized reser- voirs are completely unpredictable and random, regard- less of the input data
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 98b26f5a-5f53-4c1d-a563-9c3276ade505 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The real spectral radius of the matrix W, that is always a bit different from the specified spectral radius
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b65a6155-cddd-4e82-94bd-1f30ae9da4b6 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 88447ff2-21e7-419d-998c-6e66f550d62c · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy An orthogonal matrix can be represented in a con- densed form, improving matrix multiplication computa- tion time
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d65a74d5-eaa2-466c-9d85-d9101babfc93 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A conceptor is a mathematical function used to compress the data within a reservoir, reducing its dimen- sionality for faster processing
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2a3954a-8d7b-4874-8ce2-574f6cde1864 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a8bcb8ba-8b21-4aa3-a6a1-7521ea394f9a · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy uniform
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5051861b-5e10-4a38-af60-fde80d602327 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy 1"), Reservoir(100, name=
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 528534a3-2529-4d1e-9fd9-e64ff6890186 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy backend",
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2cfadf6b-940f-4054-96c5-79a0e7cc2f6f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy R1") >> Ridge (name=
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 951cf986-8366-4638-909a-bc95fd4056d0 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy How can I do that in ReservoirPy? • A
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7267e644-d226-4aa0-b4d7-8ea209b6556f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Calling .fit on a model erases the previous trained results
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b0fdc60-10c0-4882-87bb-6c8d69e2d35f · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy What’s wrong? • A
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 39c3e184-241b-47cc-97e7-635120e49070 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy What’s wrong? • A
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 36ac05ad-3f61-4222-baaa-42ff7144f07c · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 045c1abd-5bf2-42ca-8492-5189268a75ed · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy By calling the method .fit, the readout forgets its previous training
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 26ba2a90-422e-4082-8530-544d615fc9a4 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy No, you can connect the readout to the reservoir in order to loop the results back as an input after training: readout >> reservoir
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0330f324-1b09-4863-8f3e-3e302416af42 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1b3a0ebc-1565-4b88-b541-c6c628e318c7 · outbound
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
No inbound Pith citation observations are available.