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Paper Citation Record · LEDGER

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy

As of 21 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.

pith.paper-citation-record.v1
2507.05279 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:18:11.899262Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

64 of 64 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved22
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30d68132-8c93-4100-b7c6-a70612f4f41b · outbound

This paper cites Attention is all you need,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Attention is all you need,

Reference 1

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Observation 5a20d49c-2790-46fb-bf81-9cb386d9468d · outbound

This paper cites GPT-4 Technical Report.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy GPT-4 Technical Report

Reference 2

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Observation 9abbdc12-49e7-40b2-ab56-9e0ba2d52bfd · outbound

This paper cites Improving language understanding by generative pre- training,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Improving language understanding by generative pre- training,

Reference 3

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Observation 2a667019-53e1-4853-a227-91d5b15e391d · outbound

This paper cites Language models are unsupervised multitask learners,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Language models are unsupervised multitask learners,

Reference 4

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Observation 6bda7b3f-cc8c-4ec2-86f5-1415d7c5db17 · outbound

This paper cites Language mod- els are few-shot learners,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Language mod- els are few-shot learners,

Reference 5

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Observation 0d8992bb-a0c2-4f62-8f38-55160785c1af · outbound

This paper cites The Llama 3 Herd of Models.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The Llama 3 Herd of Models

Reference 6

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Observation 73e9a5b7-cfd0-47d0-956b-c15963f7284a · outbound

This paper cites A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges.

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

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Observation 909e0646-e140-4862-a4e3-c6abeb365842 · outbound

This paper cites The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 8

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source=pdf_text observed=2026-08-06T20:18:06.423811Z digest=sha256:26af99e9aeaaafc213b31d367bde7cdcf76de4df9182c8334543d8c91e4e6382

Observation b1ae5750-644f-4d73-a609-aac009aea65f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Evaluating Large Language Models Trained on Code

Reference 9

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Observation 4c013a8d-a34b-4e9e-923e-f5a64e4123bf · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

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

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Observation 673a5843-5c5d-49a2-9ca8-178f782f71fa · outbound

This paper cites The “echo state.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy The “echo state

Reference 11

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd6a33fb-b53b-4c22-8965-e4ff3d3e23a6 · outbound

This paper cites GPT-4o System Card.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy GPT-4o System Card

Reference 12

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Observation 3b0cdb02-f6b4-4f3e-8ea8-7591eb34034e · outbound

This paper cites Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast,.

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 059fee0d-ac4a-45bd-88a8-1d4010e6ecf6 · outbound

This paper cites Reservoirpy: an efficient and user-friendly library to design echo state networks,.

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

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Observation 8c804af0-78bd-4e91-90e4-704225af29a2 · outbound

This paper cites Create efficient and complex reservoir computing architectures with reservoirpy,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Create efficient and complex reservoir computing architectures with reservoirpy,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 174a163b-d5cc-40fb-a17a-64a189ba8e31 · outbound

This paper cites reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 306ea8bc-234e-4e86-bafe-dd53aac7ae03 · outbound

This paper cites Which hype for my new task? hints and random search for echo state networks hyperparameters,.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:07.512290Z digest=sha256:ceef19a61efb0f743d65e800d321d6b6e5016a53a356793834f53e05a12157b9

Observation 465a1058-44f2-4641-8530-78d9cbc7ae6c · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 18

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Observation 5afd4c71-6c14-4535-a0c5-a0e49561b858 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Retrieval-augmented generation for knowledge- intensive nlp tasks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 89cfaea6-9cca-493b-b7e5-62fa497e4f77 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 20

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Observation 5786ae53-e663-4bcf-8f6b-83a13b7adc6e · outbound

This paper cites Codestral: Hello, world,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Codestral: Hello, world,

Reference 21

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Observation cbe1b50d-8ba8-488b-b9ac-38af7eedbce0 · outbound

This paper cites Knowl- edge graph completion: A review,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Knowl- edge graph completion: A review,

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 35fdbd60-a9b3-4e33-8c5b-4b6ffa173877 · outbound

This paper cites From local to global: A graph rag approach to query-focused summarization,.

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dae82205-3e64-4a22-8209-6095fffb2838 · outbound

This paper cites From louvain to leiden: guaranteeing well-connected communities,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy From louvain to leiden: guaranteeing well-connected communities,

Reference 24

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 164936b4-c3d6-4d45-af64-b54fbeff9963 · outbound

This paper cites Introducing notebooklm,.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Introducing notebooklm,

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e1b4cd78-2b56-4436-b1c5-04657abee22d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

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

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Observation 4a522e7c-8f53-4791-b698-0779dbdef32a · outbound

This paper cites The Effect of Sampling Temperature on Problem Solving in Large Language Models.

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

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Observation b8bbc5b9-ea8a-49f0-99ec-a67bedb88207 · outbound

This paper cites Mistral 7B.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Mistral 7B

Reference 28

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Observation c2e4e614-aa0b-4986-82f9-96125b2aa947 · outbound

This paper cites Mixtral of Experts.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Mixtral of Experts

Reference 29

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Observation 738bf742-d8df-4b43-bfd2-e396044c6b68 · outbound

This paper cites Deploying Open-Source Large Language Models: A performance Analysis.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Deploying Open-Source Large Language Models: A performance Analysis

Reference 30

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local_arxiv, observed 2026-08-06T20:18:12.141427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 41468e32-5b7e-4c85-b232-51f68dd8517f · outbound

This paper cites A place where anything is kept in store.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A place where anything is kept in store

Reference 31

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raw_fallback, observed 2026-08-06T20:18:12.912647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1a464e73-04f2-4ae4-aaa1-a081d2744d1e · outbound

This paper cites A machine learning paradigm for timeseries.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A machine learning paradigm for timeseries

Reference 32

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raw_fallback, observed 2026-08-06T20:18:12.899177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.331467Z digest=sha256:eda59589beb80c92237031edb46d38db03ca53ca6bc0ca448a30bc5dc1a9a639

Observation 8f489e41-5764-4817-87ea-a627aa2363ec · outbound

This paper cites A linear regression that models the Markovian process of a support vector machine.

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

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raw_fallback, observed 2026-08-06T20:18:12.885828Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8570f05c-83c2-4f85-b142-8f51e77546f8 · outbound

This paper cites Video segmentation.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Video segmentation

Reference 34

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raw_fallback, observed 2026-08-06T20:18:12.873130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 273af6ec-a47e-44d0-bc0c-cfbabd737f31 · outbound

This paper cites A task with small univariate dataset.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy A task with small univariate dataset

Reference 35

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raw_fallback, observed 2026-08-06T20:18:12.860315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.514732Z digest=sha256:6d63bddf486d77b75ced52d556795c1f580858793600d00a21d2cdc8a6c87aab

Observation d45eefa7-f45f-4b4a-a332-5f8a469c0ea8 · outbound

This paper cites Around 1 thousand neurons.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Around 1 thousand neurons

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.847165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.570865Z digest=sha256:35053feb84df76e31f39d4e645a28af7c0f288e988802b13e57e4b9837a43a84

Observation ee591bfb-e238-4ee0-ba0d-391d7a42061f · outbound

This paper cites Reduce the computational cost.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Reduce the computational cost

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.834242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.652547Z digest=sha256:a8549093a918fc0ab84405437b0d1d689e1bdb9bfad9cbf4bb4b15eab2a62bec

Observation d52e8f7a-996b-4013-b76d-e3a70deae53c · outbound

This paper cites They can be randomly initialized and then scaled to have a specific spectral radius.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.821087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.729219Z digest=sha256:eb78ffef0f2fd2a3fba2c9cea327cf8748fde43489760bb3b83072c718e27972

Observation d9d917a3-27ce-41d4-8a3a-b4c400957103 · outbound

This paper cites Reservoir Computing is a type of recurrent neural network model based on the philosophy of the echo state network.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.807391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.795138Z digest=sha256:ddc2f90e48ced80236d3ee3a6becfba6aaf231a8089b6a148464d38a08c44eb3

Observation bbb84890-9996-4884-99c4-5a620cb22811 · outbound

This paper cites No, an echo state network is not even a form of Reservoir Computing.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.794475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.862539Z digest=sha256:22d1cc69b9a84f4b18a578e836d136d354710cf75712f318e60d72a2a21215a0

Observation 5edff12d-e0e3-4fe1-98e0-2e9f19905e02 · outbound

This paper cites An architecture in which the reservoir part is a pool of spiking neurons.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.781122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:09.936614Z digest=sha256:fb113f36de4b3f050c35fe3eeeab42208e303ed681644f889b9627ff1cd92f6b

Observation ef7016be-3e91-4bf5-b1c0-25ffa9208bfd · outbound

This paper cites Because it is common to add noise (and thus chaos) to the reservoir in order to stabilize its activity.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.768059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.016658Z digest=sha256:5be83bf3b1eb1cce5ccaf7f36e1ab90bd93cef8c8a1cd5b420ccb17865e6b75b

Observation e3f6e8dc-d9b6-4fc8-aadc-ce485637a2ba · outbound

This paper cites The echo state property allows the reservoir to operate with chaotic behavior to enhance computational power.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.754720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.081014Z digest=sha256:dc3bacf660df3645404330b72ba8bf9b35246871b96a2083ce60d248f8b16183

Observation 99942d99-ae45-42f1-8427-eb723eacf92d · outbound

This paper cites The spectral radius of the recurrent weight matrix, the leak rate, the input scaling.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.741344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.123396Z digest=sha256:e64a0e6ea0b7dcc77c49b19feca4caba53d4c302e5e24738445fdb866663af0d

Observation 9a2fd358-dd5c-4946-b25c-6b86750cc139 · outbound

This paper cites an unresolved cited work.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:18:12.728677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.211712Z digest=sha256:c612fac06398c4c6e66660a4eb96925b5397a3913824006e469197ca25f6593d

Observation 0eccbd4c-02cd-4e44-9f59-4cf117d0d012 · outbound

This paper cites The results between two differently initialized reser- voirs are completely unpredictable and random, regard- less of the input data.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.715340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.270906Z digest=sha256:0a317c536b1803de6297e694384ba27263a8698d0bc46e8abdde2068df9eed8b

Observation 98b26f5a-5f53-4c1d-a563-9c3276ade505 · outbound

This paper cites The real spectral radius of the matrix W, that is always a bit different from the specified spectral radius.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.701780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.342984Z digest=sha256:2efd64c82207f01615ada2042dfc5b08c3d67981c6766bb701873077dca43c3d

Observation b65a6155-cddd-4e82-94bd-1f30ae9da4b6 · outbound

This paper cites an unresolved cited work.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:18:12.688749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.409709Z digest=sha256:6e11be7c8068cbde1a6654014f321d7f5d543beb8ec89c3a743e856ad104b054

Observation 88447ff2-21e7-419d-998c-6e66f550d62c · outbound

This paper cites An orthogonal matrix can be represented in a con- densed form, improving matrix multiplication computa- tion time.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.675536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.496273Z digest=sha256:a01b542819111e78710f6b4a8a4ccfc19708726c9183d7a7c829096dd409a218

Observation d65a74d5-eaa2-466c-9d85-d9101babfc93 · outbound

This paper cites A conceptor is a mathematical function used to compress the data within a reservoir, reducing its dimen- sionality for faster processing.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.662166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.581982Z digest=sha256:a2580dd6f4156200924a8d38be9dfcea1805cbd95fa27ceb00372e404e93ba77

Observation a2a3954a-8d7b-4874-8ce2-574f6cde1864 · outbound

This paper cites an unresolved cited work.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:18:12.648988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.652730Z digest=sha256:41f76f749f5d7e1120ed809f480dcd3a768d707596e665e5dfbeb18c6580ddf6

Observation a8bcb8ba-8b21-4aa3-a6a1-7521ea394f9a · outbound

This paper cites uniform.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy uniform

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.635728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.751566Z digest=sha256:9b450ec62b7a0fd80d96e4787f25668c4c2044fe7468a16985ee30b10e2e3c6f

Observation 5051861b-5e10-4a38-af60-fde80d602327 · outbound

This paper cites 1"), Reservoir(100, name=.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy 1"), Reservoir(100, name=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.622538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.869005Z digest=sha256:eb36960f64c7ddf68099647f891c04b755baa4e22fb42782b2a605d9a5ff7a9b

Observation 528534a3-2529-4d1e-9fd9-e64ff6890186 · outbound

This paper cites backend",.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy backend",

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.609653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:10.936431Z digest=sha256:57063463a46b7d9d004e60227f4c7dd9e1c03eb85177ebae9eb7be7807a24dc5

Observation 2cfadf6b-940f-4054-96c5-79a0e7cc2f6f · outbound

This paper cites R1") >> Ridge (name=.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy R1") >> Ridge (name=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.595976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.043124Z digest=sha256:0c0a3416a1837ff948bd2fbf63f351caecc7314b3d53b6e84b61e8588e4d504f

Observation 951cf986-8366-4638-909a-bc95fd4056d0 · outbound

This paper cites How can I do that in ReservoirPy? • A.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy How can I do that in ReservoirPy? • A

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.582946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.136781Z digest=sha256:8827bbb4be0a7b555e311ac3d2d57b6a3b90aeb662b11db90c3252008c0b274a

Observation 7267e644-d226-4aa0-b4d7-8ea209b6556f · outbound

This paper cites Calling .fit on a model erases the previous trained results.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Calling .fit on a model erases the previous trained results

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.569376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.213759Z digest=sha256:d9baf5548f46b7e5bd485fea03911421c820a5c9c9487cfb1d7f4551c4f18579

Observation 0b0fdc60-10c0-4882-87bb-6c8d69e2d35f · outbound

This paper cites What’s wrong? • A.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy What’s wrong? • A

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.555752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.291528Z digest=sha256:206d651db3e3fa02234ab8e3a53a892637a470b7067b9a1df2b96ee8de23d026

Observation 39c3e184-241b-47cc-97e7-635120e49070 · outbound

This paper cites What’s wrong? • A.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy What’s wrong? • A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.541274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.361761Z digest=sha256:d919861b9cb85e02af6a7cef07c7adfd50b18c1cf3a1c1ce0201270b291bd85d

Observation 36ac05ad-3f61-4222-baaa-42ff7144f07c · outbound

This paper cites readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.527021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.426947Z digest=sha256:f7de7eb7b47cfff7b17314914351e93f32bd5417780ec037e723f586675532f8

Observation 045c1abd-5bf2-42ca-8492-5189268a75ed · outbound

This paper cites By calling the method .fit, the readout forgets its previous training.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy By calling the method .fit, the readout forgets its previous training

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.513888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.499549Z digest=sha256:d99a665cba219ce87ca4bb2e64dcf478669ca5046de617fa219815de2336f7ce

Observation 26ba2a90-422e-4082-8530-544d615fc9a4 · outbound

This paper cites No, you can connect the readout to the reservoir in order to loop the results back as an input after training: readout >> reservoir.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.499691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.584084Z digest=sha256:0878d286e928652f73586f3b736f234735f6daee080ef1f971efd9a99627b5d8

Observation 0330f324-1b09-4863-8f3e-3e302416af42 · outbound

This paper cites an unresolved cited work.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:18:12.486636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.729289Z digest=sha256:4fd908d7156ce58ae10ef3dbd0dd13175ccda49f06332a5bb065fff605d620d1

Observation 1b3a0ebc-1565-4b88-b541-c6c628e318c7 · outbound

This paper cites readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=.

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy readout" ) path1, path2 = R1 >> R6, R2 >> R5 path3 = Input(name=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:18:12.472968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:18:11.899262Z digest=sha256:e20366dda8b5970515c7be88da82d7c58c1581e78badc05497eed970e21c5fba

Pith citing papers

No inbound Pith citation observations are available.