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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • metadata mismatch0

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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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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source=pdf_text observed=2026-08-06T20:18:06.654687Z digest=sha256:a90e45018f2b8916a2571ad775ecd6bcad4dec9399d7601094650f95cb9f42a7

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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raw_fallback, observed 2026-08-06T20:18:13.036724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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raw_fallback, observed 2026-08-06T20:18:13.009794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.331467Z digest=sha256:9888c7e5fe383d1ef8b74381e1eea71bca8e6a152385cd1d86238b3634529d06

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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verified fuzzy
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.514732Z digest=sha256:86c3c99593266f4cbc2016b172abe33dbd48aee497d9b2dbeab20ff172dc2cb6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.570865Z digest=sha256:7268a1ba2328cf900bc2793487c704ae2d094cd279b7da99e17702b493f2e004

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.652547Z digest=sha256:76d03f2434df5f4e00ad1a859497530dd3499030bcaffa214af06729c5ebde10

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.729219Z digest=sha256:0d3547ab7b46ba971c709d82904b9b55010e9e1b936cdbd3e764f87209b2cc93

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.795138Z digest=sha256:7ec85fde775cbd0be45c3a3997f98d19c166eb5e6e557635533e7a2bae8e58eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.862539Z digest=sha256:785fddc6affd948ce71374a983f799da1f04788a00f28c8b5ffb796bc9a8e346

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:09.936614Z digest=sha256:636463da51f9979f44b78100132d415395a6bacb2ef68644ba3bdebe21f9906d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.016658Z digest=sha256:1f71c79a7b18c7926bd73bdf888f7035aabba0f924f5ffa7d9ebe3cc1eb996b7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.081014Z digest=sha256:76e64b71851206df441c21535563f6be16b82e4ccf14cc4b6af4ca77295ef0be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.123396Z digest=sha256:2558c8ed58068a6bf8b9b28a8393795e123e9b69f15a5c92ae50f4bbc17a6e3d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.211712Z digest=sha256:b90a84d287065280cda4643acd3636972b2d560054596834bcbf2c877e1186d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.270906Z digest=sha256:5c861995a4adaf1901c144b6858af8728527bf90894e296962b28b40b5b8d125

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.342984Z digest=sha256:eeb7274ba31e4499471be6e13963970ef3f2d08d22c70604f84b196099336192

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.409709Z digest=sha256:94c47527eb1c7eaefb19413ea9fe6c6e73b614ec1efd3c6a6024127a0b8a7010

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.496273Z digest=sha256:5e0d6da5def20c5de1b12bfb45fe375f1d6b90917784517ff27a86f65afff41f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.581982Z digest=sha256:94b1de7677e826121edb32a9ed950aba49ab33bdbe2a57f2bf581a0c083303be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.652730Z digest=sha256:d91aefc81e808b9255d2aa36124c1aad36093628b6d55f7eb1055cddd0b32603

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.751566Z digest=sha256:e35c4c3bb1f8a05ca919967e7cc916bb9d673c52a22eb276db1b924004bf7065

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.869005Z digest=sha256:e99bc1c50b8b2ed86857d0336e032b3b5fe8ad50773545c84630236c20031442

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:10.936431Z digest=sha256:9b2a8cd97b4fef30f0dae65538fcf62abf2fa3d40f4f56658a56619a22e42200

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.043124Z digest=sha256:2db6f218f1ac5d67cf639d0558e39791dd3164fee33d5e3f5facaf2d4a2bb998

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.136781Z digest=sha256:a9aca12fd7a61578b7c416b4f07b364e9602b10038bd461b0c0c7ae75afdab58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.213759Z digest=sha256:04759d824dae377d058802b88f8714580684b4ab9dcc10c69efef98280234f73

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.291528Z digest=sha256:18121224d727c1300d3310b4c3d93487b5445757c089e2d804352bca5bcdf617

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.361761Z digest=sha256:56c165b7436c0d031a5cc7012eb64a055e57109dbf0e6f29a88b6b9ddd995620

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.426947Z digest=sha256:0f161d2980775309badb86f93189c7c1b1f41afa711cb84d8f2fcd16365d00c3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.499549Z digest=sha256:ae4ac87a02639c94ff30d5199b7dd72b803463e12e3b70d088b0be73055e4e4a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.584084Z digest=sha256:883dedadea6461be0647c58a112bea5a30d53215c70705ee0cfad2916bd1653d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.729289Z digest=sha256:af2d9a653a000c40924a98ecbad669268a77870e362130adefa44515101e1bb6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:18:11.899262Z digest=sha256:9a48476231a5cdd3f7d5918d45a62c3aece8f9bb294ac3c403597c9644139a95

Pith citing papers

No inbound Pith citation observations are available.