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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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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source=pdf_text observed=2026-08-06T20:18:06.129827Z digest=sha256:98dda0096093455336f3eb9b116ff82045d9d4dc6757af0a8e4a445904c5973b

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=sha256:42714bf638918816b52384e96d037dea1898fe8d64271822cb22e5b9cdb2a4f2

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=sha256:95056ec425787a5a3f62ce46c40a203afc9079a61b48fa4fe958e081eb44bb03

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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source=pdf_text observed=2026-08-06T20:18:07.166505Z digest=sha256:d003374d4748634b2720762ce89a9df9be7c0720d2a9b5a24422ed9e937bce54

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:07.292385Z digest=sha256:81bc186932315a445b5bff051a08170305866f4dcd734a07a514b4293e515852

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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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verified fuzzy
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.331467Z digest=sha256:6c780d11ac09de417b1dda9d4d8e092d3a9b7b6a1d7804da23ef262996e166d9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.389097Z digest=sha256:71e73c7d5eb43c7e410d032d475365d9a3514087fb21700c9d37ddf49dfcaadb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.464417Z digest=sha256:7a3363a947ac36652e1da18407e7b48357ceece492203d68b4d3046fc6a0fc8c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.514732Z digest=sha256:9b7e5a68dba111374494369affc20c37897430c440a9002d350e796975ea203c

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.570865Z digest=sha256:a936fae35e8312a60e3e0ac1bff272f12850136888c73bbd5888667406a2c2b6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.652547Z digest=sha256:88c02336a7a8ac1d17b5e7b4851d458de208cdda999f7ef57d3e9ad10b6dd5a0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.729219Z digest=sha256:4347a52964bae42855dc9ec3ec84e2c346a3f244e3ba7eb17b607681d4533218

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.795138Z digest=sha256:06702103876ccae41425968e010e00db1f13fe5664f2a55ab26e563b82004fb9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.862539Z digest=sha256:d0ae95a254e73e1db9911e92f385fb92161f571b9d7f922e9fdf64694521629b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:09.936614Z digest=sha256:1c769abed7f2c252f27025f52c82fb3f76d500cdecdb2c62c7fbf56e54d4ad83

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.016658Z digest=sha256:212c18bfa9b604d1005c92ce78b34178d0a4ae8fe4fc9a4a58fa456973943c9d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.081014Z digest=sha256:f9349ee3424cd5098ba38a9f537fc23370bb58fab26ac408e14e9faddb694d6c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.123396Z digest=sha256:93086972f94a8e1d997cf98792ed1031ce92b9c9ba599e78f6998ccb72de124d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.211712Z digest=sha256:2a9878bba5b767223b811e4c73d84eca407433a526ef78037c2e0adb0c5e63a4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.270906Z digest=sha256:2b6833535ec2317e6af37182deb23dc46ac3038b505ced509a24d40ac2d08c28

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.342984Z digest=sha256:13e8b8bdd58ec3c68efc58cf8836447bdd0e9507b41db78404e82ebb618f10e6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.409709Z digest=sha256:b21f7b792a1bc5c05a6c205e4042da015380cacb2ced36750c49626391a2abe9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.496273Z digest=sha256:a8a4447f75824cadd651050a782dbe4e208e655f129e911998c71a4419eba350

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.581982Z digest=sha256:8926bc82867ac62c43748ce1854a34e1f61abddfe15df1c9e3a9fd50e2870aa6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.652730Z digest=sha256:6a7a8282599ffc9b0ad8bf3e0692eb41d0cf1d5c330b6857481fc4499a97c766

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.751566Z digest=sha256:55f9ca821e66721acbbb815ac82fb6c9fb24f5c06c511e570ee71d8b151911b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.869005Z digest=sha256:feeb6e5bee65b93d821db3c4b8345b72339e4ea2219885dd5cc4ff95185319a6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:10.936431Z digest=sha256:4525d319c4648a96af06a171392c7001a7879d67c1b0891b8935b8a159b73a56

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.043124Z digest=sha256:b61ae6c6c9ad026de8f875624a2e89954cb9fdb6f0f482a577b25c43020c4250

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.136781Z digest=sha256:23fe9b4c119a6e1e84c6cb9bd5189eebf07850dff50a7eb731b0a7c34823ee55

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.213759Z digest=sha256:a19a937e3a516a0099335d1985e34bfa781b0671a91800fc774b98b66c4d92e5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.291528Z digest=sha256:d84a86002f98ed073e5b9569e7187ef5bf1e452d8a620df243a06ca9aa303827

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.361761Z digest=sha256:0abfb8b8d1620b05fe9d71dff279d222937c169cfd314fc69dc7992fe7258c18

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.426947Z digest=sha256:01733aa973ebfee016c4c49145445163aacbebb176a9d5b2fcd13e64a2da2678

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.499549Z digest=sha256:9df41d09fe4cdbabc5e45cf554c6bb295472337b8e6cc880be667fc40ebfce1d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.584084Z digest=sha256:2b81bb61fb6bf81902a30f4fff07e10593790bcba7b29d0d1921a2aec75f2945

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.729289Z digest=sha256:79c2af3564657b038d24ff8d7bc9bcc5a2762ab4fb55e18c0e617fe25145fa51

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:18:11.899262Z digest=sha256:405a1ff1741b04fca58b32f98dae770cfc298f83f4a231806d75c41c31151de2

Pith citing papers

No inbound Pith citation observations are available.