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Paper Citation Record · LEDGER

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.27467.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.27467 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:27:13.782327Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a58416b-94fd-4e35-ac45-3cc03816de94 · outbound

This paper cites Hasani, M.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Hasani, M

Reference 1

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:4dfb2003ab2367da044931b07807041659aabfc799657bd84b750ac1e7d8164c

Observation b5b58d62-28f6-41b5-afd9-25de6f44097b · outbound

This paper cites Hasani, M.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Hasani, M

Reference 2

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:ac89fdb39a6025073bcb6a17782ea33b87b8cbd0a88762714c1ca089d2627d33

Observation f2ccd635-4468-4bda-b803-7cdfc3be826c · outbound

This paper cites an unresolved cited work.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Unresolved cited work

Reference 3

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:8d0fb925b4497b715afc52d3f61ff37cc11063c632e8996ccdb4a332c0b93c87

Observation 333b34b4-0d81-4c44-b899-b5e9a7235405 · outbound

This paper cites Lechner, R.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Lechner, R

Reference 4

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:01e4765448111ee2944ee8958127399cbd7b90c7027fc620a71980cb5d0363a3

Observation 659d9fdd-aed3-429d-a22d-ab942b3a865e · outbound

This paper cites Hasani, ”Interpretable Recurrent Neural Networks in Continuous-time Control Environments,” Ph.D.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Hasani, ”Interpretable Recurrent Neural Networks in Continuous-time Control Environments,” Ph.D

Reference 5

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:ab89bcdfcd8ba528450505c5a21e94771d9930d070ed6ff200ffc2830e29b499

Observation 4c6c2e41-c62d-4f18-a857-25ba5839dafc · outbound

This paper cites Hochreiter and J.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Hochreiter and J

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:ff870aa43ec1c8a24607f2b5330205218825ef9ecd6158e131cfa52d7426d207

Observation 89f36da3-1b69-46ae-aa86-497989604df6 · outbound

This paper cites Cho et al., ”Learning Phrase Representations using RNN Encoder- Decoder for Statistical Machine Translation,”EMNLP, 2014.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Cho et al., ”Learning Phrase Representations using RNN Encoder- Decoder for Statistical Machine Translation,”EMNLP, 2014

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:b9042afebeadd581d85cc86b3545fb249ced27dfae7c300ba530b38404b4b518

Observation 8ccd0720-0c07-48c5-b3f0-4d8975524f9e · outbound

This paper cites an unresolved cited work.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Unresolved cited work

Reference 8

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:9246cfcb953330127ebd9849d51325298e43beee7274b455a91c9ac4298a6e54

Observation 67d55c5b-b2b7-48c1-a288-28f2196604ed · outbound

This paper cites Orchard, A.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Orchard, A

Reference 9

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:ad15bb57f964ec9c2822276c8feaab493d9504084293f78593dd9b665abf28c0

Observation 39cdc583-4f59-43c6-9b7f-63ae8861697a · outbound

This paper cites Marti and H.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Marti and H

Reference 10

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:fc1d7b1193adbcf0aa16b792457b84bce71c2a1dff0d252ef011606d43dd930d

Observation 1b348ce8-a4d2-447a-b27b-3819ff1772ce · outbound

This paper cites A Neural Representation of Sketch Drawings.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility A Neural Representation of Sketch Drawings

Reference 11

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verified exact
local_arxiv, observed 2026-06-29T19:33:54.171654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:9ee0c4de382bf9070665c050c493ce7bbcd795f0faeac0bb3c2c758c71e3533b

Observation d4cb1231-def7-444b-8b57-2cecbcced8d7 · outbound

This paper cites an unresolved cited work.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Unresolved cited work

Reference 12

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:e7cbf59775de818a36816d9d25aed7de4a7a254e0d70686fc916723ef5b1b36c

Observation ac74c993-c9c4-4f02-aca4-84a18d85c3da · outbound

This paper cites an unresolved cited work.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Unresolved cited work

Reference 13

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:080f34bc9f8855fe74f8dc60ae51b3c9880ba75bff31f74822d62131c71354a0

Observation 7d1b6aff-bea5-4e23-ad9e-09d36c289c79 · outbound

This paper cites LeCun, L.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility LeCun, L

Reference 14

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:14b89ccd960968eb0f2589290c894b91252a96f471696a00689425aeace7d132

Observation a9094025-c154-4f22-a64c-166389d323a2 · outbound

This paper cites Graves, S.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Graves, S

Reference 15

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:cebccc7efd87fdecda0c4cc865bddde6d9a715061f0ab16a669040fc64cb9590

Observation 1703b8cb-573f-4e52-b7ce-8584ab803a40 · outbound

This paper cites Chahine et al., ”Robust flight navigation out of distribution with liquid neural networks,”Science Robotics, vol.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Chahine et al., ”Robust flight navigation out of distribution with liquid neural networks,”Science Robotics, vol

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:8f727e88632dd898995d5f5bd46071201a5fb3e15d2c4f2300cb2bf5730a084e

Observation 908b3663-c46c-4155-bb6e-dd6e64f420cd · outbound

This paper cites Fenghao et al., ”Liquid Neural Networks: Next-Generation AI for Telecom from First Principles,”China Communications, 2025.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Fenghao et al., ”Liquid Neural Networks: Next-Generation AI for Telecom from First Principles,”China Communications, 2025

Reference 17

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:c32347ea38457c93563f561f978ef5fd8e130c744d5c80b39b8c59ef66e446a9

Observation c8c0ede9-a1b8-48c9-8cb7-3df090ff200b · outbound

This paper cites Srivastava et al., ”Dropout: A simple way to prevent neural networks from overfitting,”JMLR, vol.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Srivastava et al., ”Dropout: A simple way to prevent neural networks from overfitting,”JMLR, vol

Reference 18

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:d72e7125eef4ac8cd56de583bf46d98a9814e9c931ab14393c0b68e96e941a2d

Observation a899ec7c-9bb3-4fa7-a9f5-9851c6310c36 · outbound

This paper cites Singer et al., ”The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3),”JAMA, vol.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Singer et al., ”The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3),”JAMA, vol

Reference 19

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:a8542dffa59950a84aa650115e77c011fe4b39a5b7f760de161678191850631e

Observation 5eaf82e0-2d68-4777-a69e-5c9c6efacd27 · outbound

This paper cites Determination of Calibration Parameters of Cantilevers of Arbitrary Shape by Finite Elements Analysis.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Determination of Calibration Parameters of Cantilevers of Arbitrary Shape by Finite Elements Analysis

Reference 20

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verified exact
arxiv_id, observed 2026-06-29T19:33:54.174409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:d713a6f56c47ea6811b62092b0f14cf8ec85dba74e7e021b5bc9e9cbb08249e7

Observation d3607932-2fda-417b-abff-abbded9fd7cd · outbound

This paper cites an unresolved cited work.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Unresolved cited work

Reference 21

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:8571f442cde8b831b07341368987c408c269f870ff979e04aa49969d936737e2

Observation 90112117-bdba-4f14-8661-8d90483ef03f · outbound

This paper cites Lichtsteiner, C.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Lichtsteiner, C

Reference 22

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:4dace3c1902d4ae4a6e7383dcbd28cf0caca8ac2e57c72c0016aa0a27aac58d2

Observation db10cedd-e9f8-44d1-881b-a00aa7aa725e · outbound

This paper cites Sironi, M.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Sironi, M

Reference 23

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source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:3c2d70080be5f6cf7bccb42913fab3efa251980d061dc16c566ca6b9aa23a6de

Observation 3d22d952-b30b-4d8a-8139-98fc7cf52b87 · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Generating Sequences With Recurrent Neural Networks

Reference 24

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verified exact
local_arxiv, observed 2026-06-29T19:33:54.177013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:1971100f81c970b35033c02b0eaba081c61778332533ce683e691f44fae4f163

Observation 448adb32-00e7-4944-890f-53f42c56508f · outbound

This paper cites Xu et al., ”SketchBERT: Learning sketch bidirectional encoder representation from transformers by self-supervised learning of sketch gestalt,”IEEE CVPR, 2021.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Xu et al., ”SketchBERT: Learning sketch bidirectional encoder representation from transformers by self-supervised learning of sketch gestalt,”IEEE CVPR, 2021

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:8af9ca32bbe0b6e87d8398ae2e42d796ff3c248ffc004691c309fbb1813cf567

Observation e62188ae-06b0-4861-bbfa-089da6636c61 · outbound

This paper cites Graves, M.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Graves, M

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:60598812eccef5129f11e507be35b665c2f4509a91449ec9b38e5339c532126f

Observation fca84310-5f07-45d0-8e00-0f8e1fcd1d03 · outbound

This paper cites TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Reference 27

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verified exact
arxiv_id, observed 2026-06-29T19:33:54.179957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:b387cae7004f1866de8df7f7f66eab2040c2af5dcc38c9733d40765778ee1169

Observation de815030-fc78-4feb-9a1b-2a5a3c238d3a · outbound

This paper cites Harutyunyan, H.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Harutyunyan, H

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:8e1e8e99a634ee572cc8d4bea6784316fa95e286edd02d3dc0c5a42e642b334f

Observation 9fe2ae4c-c4bb-4b3e-bf43-077d62a99bd0 · outbound

This paper cites Caucasian mountain observatory of Sternberg astronomical institute: six years of operation.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Caucasian mountain observatory of Sternberg astronomical institute: six years of operation

Reference 29

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verified exact
arxiv_id, observed 2026-06-29T19:33:54.182486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:37d93eca14582c3efdbfc8f95ac66dd866469ed138c7de875c6ccfefcd354462

Observation 980a9b1b-0565-4f92-8c2f-d800ec46ec0a · outbound

This paper cites Rubanova, R.

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility Rubanova, R

Reference 30

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no resolver link, observed 2026-06-29T19:27:13.782327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T19:27:13.782327Z digest=sha256:6649ba53b43c463e11a5bcd1155492b90e807ec61b346424a0b555a9caa726cd

Pith citing papers

No inbound Pith citation observations are available.