Pith. sign in

Paper Citation Record · LEDGER

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection

As of 6 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2606.04073.

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

pith.paper-citation-record.v1
2606.04073 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:16:04.531865Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

68 of 68 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 578f14f2-1ac6-439e-8da7-1439449c55e1 · outbound

This paper cites A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:e7d8c308e78ebde3d76231fabb8d228c313c5fc84643290bbdce6fba252c0814

Observation e0aade74-d8f7-49b3-a0c0-c2a502c831fb · outbound

This paper cites Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:4bdd5b7c20c3bc27cc5d6b70dc3deced2bde7f6641667259698f3f4238da8757

Observation 0442b03d-5156-4e56-9b07-202cbf6ce7ae · outbound

This paper cites Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:828ffa6647472fef239e5c26d09e6519d16163ff386bd9376667d44af8389cf1

Observation 8c016237-dff1-4d9e-9f4e-3785c4eece64 · outbound

This paper cites Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:d93ddbec6ea682493b2998a984ec916e450a856cd2d3f29edf23664f00ebe05e

Observation 7fe66e61-0e92-46f3-b5bd-ac99f8acdb14 · outbound

This paper cites Ccft: The convolution and cross-fusion transformer for fault diagnosis of bearings.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Ccft: The convolution and cross-fusion transformer for fault diagnosis of bearings

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:16219ab68e74e7ea10df47bd81036d3db4b0540546fdb274e8cf7ed6e19eccbc

Observation f8604ab3-a3b1-4b6e-bf2f-af2def1f2d82 · outbound

This paper cites A novel method for rolling bearing fault diagnosis based on gramian angular field and cnn-vit.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A novel method for rolling bearing fault diagnosis based on gramian angular field and cnn-vit

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:9e54d421db90a4e4d48d5d4ab8aa1f82c3d35f07b29ff22afa141c219d1bed13

Observation f0789e83-f7ab-4abd-a69b-8487a70e7a10 · outbound

This paper cites A deep learning-based method for bearing fault diagnosis with few-shot learning.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A deep learning-based method for bearing fault diagnosis with few-shot learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:268f0e6f549992de8917a40edfec0e44269a34ec19b1324556a82607286b00e3

Observation 8c2441a9-a0c6-4481-9013-704aa6531664 · outbound

This paper cites Msff-net: Multi-sensor frequency-domain feature fusion network with lightweight 1d cnn for bearing fault diagnosis.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Msff-net: Multi-sensor frequency-domain feature fusion network with lightweight 1d cnn for bearing fault diagnosis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:d4cee6f1404df8d5b9c63cda394da41c9cc6bbceb1adc94b30e6021ae5d54f81

Observation aa7c8b2f-1993-4399-a025-1da3a40292e1 · outbound

This paper cites Multi-sensor fusion rolling bearing intelligent fault diagnosis based on vmd and ultra-lightweight googlenet in industrial environments.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Multi-sensor fusion rolling bearing intelligent fault diagnosis based on vmd and ultra-lightweight googlenet in industrial environments

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:48554d53506dab5685ff8c7aa488c314624bde818e370e3981235e9c46bb51db

Observation a8f9bf79-4f64-47e7-a6df-c85ab17f9c18 · outbound

This paper cites Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:48fd5521576a4710b6da9e0dfa32c86e1717ea352a3c091802a4df66c193ba60

Observation 78fbf3a7-3932-486d-a83d-f7a94a5194e7 · outbound

This paper cites Mrcfn: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mrcfn: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:a5fbba25d90cb8a66289cce252a58db6756bcee8a5e8c3b9824d455da8df933e

Observation 10fac3b1-3309-43aa-83c5-c5689cfacc3c · outbound

This paper cites Agfcn: A bearing fault diagnosis method for high-speed train bogie under complex working conditions.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Agfcn: A bearing fault diagnosis method for high-speed train bogie under complex working conditions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:f52f97a1b09afb87a48e31d171dd871ad3b7f66f00a46d6e14c6d95dd9c42768

Observation 14f2b692-f1ef-4b4a-9192-1b39ad17a4b1 · outbound

This paper cites Zero-sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Zero-sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:520c8c5d8307406f698b6915fb13ba774ebc2a8bd80e459adef367759f9d0c7c

Observation e027fd3c-3037-4c8d-b073-bd9c7d84b1e5 · outbound

This paper cites Frequency pattern graph spectrum model and its applications in rolling bearing fault diagnosis.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Frequency pattern graph spectrum model and its applications in rolling bearing fault diagnosis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:99a00a091431403b5ba27098d746a5bb0883a2f927fa4d561eb2afa761654ee9

Observation 18d7c14d-3dfa-4e73-9a76-6c73e4c3d223 · outbound

This paper cites Intelligent diagnosis of rolling bearings under cross-domain missing data: A lightweight complex domain imputation and unsupervised time--frequency alignment approach.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Intelligent diagnosis of rolling bearings under cross-domain missing data: A lightweight complex domain imputation and unsupervised time--frequency alignment approach

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:eac59fe33901d846a7d1216213be7bca45605f361e03d4e8bff301e81703d0d2

Observation af3bb75e-6d87-4897-9e7f-1cf653a08350 · outbound

This paper cites Deep learning for time series anomaly detection: A survey.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Deep learning for time series anomaly detection: A survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:e582a97592cea914b3cdd7dd4ff407a39bfcc526f462ae958aa8fa0ee53e7ab8

Observation 50078641-d690-4200-8afb-2a887eab12ef · outbound

This paper cites The elephant in the room: Towards a reliable time-series anomaly detection benchmark.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The elephant in the room: Towards a reliable time-series anomaly detection benchmark

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:a77fe4c407789f22d530d6560d3455018ca2a8874e64735a389580b4b7364c37

Observation 37c9c61d-3d91-457d-9901-5d16ef4f3ea9 · outbound

This paper cites Learning multi-pattern normalities in the frequency domain for efficient time series anomaly detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Learning multi-pattern normalities in the frequency domain for efficient time series anomaly detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:174befbdb4996bc1c28b18e0d27efc8c1c2f44f95dfa52f0b70801c931498047

Observation b58905f5-fb93-49e3-bffd-0dcd85c08d2f · outbound

This paper cites Unraveling the ‘anomaly’in time series anomaly detection: a self-supervised tri-domain solution.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Unraveling the ‘anomaly’in time series anomaly detection: a self-supervised tri-domain solution

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:d13294695b574e65111d25171d9d680c2948c963cece1e1cc4ec208573f0c495

Observation 9713084d-ecf3-494e-a0a1-ca0b495183e4 · outbound

This paper cites Temporal-frequency masked autoencoders for time series anomaly detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Temporal-frequency masked autoencoders for time series anomaly detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:2aed91345fbecd76c26573d15e6b09f4b93f837f029f6621c8d9cea6de76af8d

Observation 409e1ee2-c02f-42ef-8707-681a369cfb76 · outbound

This paper cites Interdependency matters: graph alignment for multivariate time series anomaly detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Interdependency matters: graph alignment for multivariate time series anomaly detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:2c2b237c63de8278e53e3fd577bc2c6614e5e033155f98be8ea0bc9d71948e79

Observation 47ed5a9a-44d4-46c2-8c8e-2bf48f0cd743 · outbound

This paper cites Catch: Channel-aware multivariate time series anomaly detection via frequency patching.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Catch: Channel-aware multivariate time series anomaly detection via frequency patching

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:42c0c249827310826f6330135b3583ff6cee94a33ec3987bf1b797293623b79b

Observation e924902e-cb65-45d1-85c0-2f07b3fe91f7 · outbound

This paper cites Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:3be792df908336d64f65d4b750de9f80d62a553fa7874b05d0191e58c6b7ff63

Observation 1dfb3133-55aa-44ef-b70f-6811b724392a · outbound

This paper cites Learn hybrid prototypes for multivariate time series anomaly detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Learn hybrid prototypes for multivariate time series anomaly detection

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:ec10645b5f32acad20dd99532abeff779ff2a07e0a97f3867dd93ee599b7ce8d

Observation 0872c662-dccb-4134-847b-89d76d365c05 · outbound

This paper cites Carla: Self-supervised contrastive representation learning for time series anomaly detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Carla: Self-supervised contrastive representation learning for time series anomaly detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:2d998ba886a64900fb2f8c80e1770eedc41d200ef39126ebf1a2f6a99ef8257b

Observation 992bcb70-f4f0-4d2d-bfa2-f81dc5bf4059 · outbound

This paper cites Rtdetector: Deep transformer networks for time series anomaly detection based on reconstruction trend.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Rtdetector: Deep transformer networks for time series anomaly detection based on reconstruction trend

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:18298195a8adeb33f7e9f843a961066aed325dc13dbcc2957eed416cc8aa0677

Observation 42f5c580-5d9a-4243-9305-dd838d5c1eb7 · outbound

This paper cites Bearing data center: Apparatus & procedures.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Bearing data center: Apparatus & procedures

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:c65aa480dbdd3563d86c2bd577533173af8a12fd677a297ab75ac517e8023dc0

Observation 353e9072-18e1-4b6b-987a-c4db45ce6d3d · outbound

This paper cites 2009 phm challenge competition data set.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2009 phm challenge competition data set

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:10d2b1fa893f088f9460e3c3473df348c9560ea319fc93378b00aaaca4fdb420

Observation caf524d5-97d3-4d2b-98dd-19ff0e456693 · outbound

This paper cites Xjtu-sy bearing datasets.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Xjtu-sy bearing datasets

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:ddc7918556996b5e6e30560aa3261122248e16de1ddb4c5aa0b93d161403a986

Observation 4e45e88c-25c5-42a4-859c-305aa717ee43 · outbound

This paper cites Ims bearings.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Ims bearings

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:47c699cfbf8830a36f01ba4ace4648d4cc1e62d90459bfa869643ccf785b4a03

Observation df06e990-fefd-41b3-afef-4ac526d16c28 · outbound

This paper cites Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S

Reference 35

Resolution
verified exact
doi, observed 2026-06-28T11:22:02.792384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:5a646f87413c8676691ebb5efd380078c355a7c451d48200eee8216ed42e8573

Observation 323b8893-c4ae-4262-81b8-5282c0191c9e · outbound

This paper cites Tsay, Themis Palpanas, and Michael J.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Tsay, Themis Palpanas, and Michael J

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-28T11:22:02.784688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:b184a35798c0c022f1f57e7b745cffaca40304bf608f1fe6651a9c5910f3564a

Observation 09707339-e4e2-4245-92be-9d565a716f3a · outbound

This paper cites AIP Advances , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection AIP Advances , volume=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:ac99c40632643eb584d1026f0669bbf64057049e9cc1ea5b5d11c66748495fe0

Observation 97479d18-5fee-46ef-b02d-aae21742d760 · outbound

This paper cites Reliability Engineering & System Safety , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Reliability Engineering & System Safety , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:6bf1539f0d4787afa75b20606e6be5e0afb222f7e6bcde1ee65a38803287d8d7

Observation be961859-7b40-4a9e-8459-277948a7219a · outbound

This paper cites Advanced Engineering Informatics , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advanced Engineering Informatics , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:3345b960bd97e1c02045d12d00b282f0aee7d9926e52481dd17a9fc9b8f7240f

Observation 47ef80ba-a517-47ab-9cf3-b062b2bb2092 · outbound

This paper cites IEEE/ASME Transactions on Mechatronics , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection IEEE/ASME Transactions on Mechatronics , volume=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:c39cad48cf2574eb53c7f63ccbebd6c07bf3d8b7b342e5511630ce54ecbad4cd

Observation bf739431-b6ff-4c8c-8d07-e3b9b9ada0b9 · outbound

This paper cites Sensors , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:9ffe7c81a98b8f8e6c8969e9cd4e71d14972d9da9ade6a74454df0a8f36c0d84

Observation 4e091ee5-38e7-43c3-a336-8eb2900c3e49 · outbound

This paper cites Sensors , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:9c9b4e60652130c7361b0b55969370ca347c413829bfa139df37764cd2cfc9fb

Observation 7a689760-5acb-4df3-b658-90c0cdaee741 · outbound

This paper cites Sensors , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:461e13a244aa32a62212942985d4ee45a7430eff12af3e1c9e1a7a3743e7c69e

Observation 706b3f32-4a1b-4576-b63b-98015927b1b5 · outbound

This paper cites Digital Signal Processing , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Digital Signal Processing , volume=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:6773a6dcf7f3bdc40ae951cc3499505cd5a7bf90c93cf374d207b9c410740de5

Observation 10b05ebd-83e1-4a00-8dd6-afbd158ca8a8 · outbound

This paper cites Advanced Engineering Informatics , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advanced Engineering Informatics , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:9391bb0d8ddf9bc0bec2d78e2cef5042d67b71fdc5833ad0edcea2c8ac126cec

Observation eb130d9d-118e-416e-a1eb-022f864d0eff · outbound

This paper cites Reliability Engineering & System Safety , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Reliability Engineering & System Safety , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:594b99022e50fc135d0ee5b8ef94e9a4b317f4e48c9106849ad385473bbff15f

Observation 0a1b36c2-8d00-4c21-b9fe-b91179eb9e25 · outbound

This paper cites Expert Systems with Applications , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Expert Systems with Applications , volume=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:1e2a4cfabd776e7a28edd2f3f341851294d938fbb0d5929988d48e8dbb8431ff

Observation 4ab26389-df30-41c7-87b1-051b7d8f832b · outbound

This paper cites Mechanical Systems and Signal Processing , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:f5065a698f41df9ca2b806bf8324a357f077ed5be7264f8487926673ae0bd251

Observation 74a8e601-1d0a-49e8-8a7d-2701e431ecf0 · outbound

This paper cites Expert Systems with Applications , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Expert Systems with Applications , volume=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:674032874c2025e200b5c1f112cf37df07685250da4d026bcbe6f6d4e9635135

Observation e2dbd8a6-9b4e-4de1-a554-b8ad29ff4a27 · outbound

This paper cites Mechanical Systems and Signal Processing , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:99c52547dc4a00fd7be507b597af35f8911106acc4fcccb94a0f4f99573a83d7

Observation 042bb360-3f20-4229-af4a-e0083cbc71c4 · outbound

This paper cites Mechanical Systems and Signal Processing , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:1758942f7dfd2b9c240119b5ca79182fb56ffc7d16d8ee3bad601aef6cabcfe7

Observation 868a9534-5f37-415a-8a37-6eaa67ed830a · outbound

This paper cites ACM Computing Surveys , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection ACM Computing Surveys , volume=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:bae74cbaed9f9165c9c13fcb1ba0d3f54a7e54453653d5f65c32bc3c8ee3f365

Observation f0de0b4d-c54d-4e1a-8e70-2cc273b0d673 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advances in Neural Information Processing Systems , volume=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:c7ee95a19e8cbb4898d44d10b40694d7a72172656f95e51a7b9198bd9d03d903

Observation 97dca71c-47ff-4e07-9724-99c97f89f130 · outbound

This paper cites TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.624952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:2a10bba8b35fdb24be324131f85e1668bd84ce04b00854854f6edea0fcb8c08c

Observation 129b100d-a5b3-4ea6-8529-27130d3784b3 · outbound

This paper cites 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:378cd24ae8a8deb5eda06d4754ffeed1c8e3ed7cdcbd345f4060560b6cb197d9

Observation cbc1279d-f080-4721-bd1c-1784c47dcf01 · outbound

This paper cites 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:bad4d5b4849ebb9cb9034b810fc98a2849b1622a41e5dc984768b23b9e2ef343

Observation 4554d154-9edc-4686-9116-25181407f64f · outbound

This paper cites 2024 IEEE 40th international conference on data engineering (ICDE) , pages=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th international conference on data engineering (ICDE) , pages=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:7a0c8f97edd4e9d5080b5d22dfe129399f32872252aba5f07d98e746d8953e02

Observation e9aa5b83-fd62-4b6c-bd0c-6615a3b08176 · outbound

This paper cites ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:06:26.634569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:39eba6e46a5aa556eada95f9044f954dbf84412822c03925ac922738be118fd4

Observation bd694b6e-3178-4692-8db5-2bb4a618471e · outbound

This paper cites METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.630859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:b7df4bc2c3bf28a369cb17249e6cda3c1989e443363f6fd16dd51968669b2d5f

Observation d24db917-adb9-47bf-af18-f7736cafbbc1 · outbound

This paper cites 2024 IEEE International Conference on Data Mining (ICDM) , pages=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:bc82246b921df5a4f3098d023dc448a917b521133201d013775b36a649c94a1d

Observation 71431451-f9a3-4b40-9840-79d332d15044 · outbound

This paper cites International conference on learning representations , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection International conference on learning representations , volume=

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:c0309f4c0a63e81680f5e5c7d90ae44a271206d7157494bf1bb72153e37e27a2

Observation 283619e4-b12f-46cd-837b-d4c37bac24d6 · outbound

This paper cites International Conference on Learning Representations , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection International Conference on Learning Representations , volume=

Reference 62

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:76fa46c5533ba1fa332ae58281f420a05829764242eca1d6c86db9058e7a10bd

Observation b6e09a66-a7ed-4fbe-8240-992d3f27321e · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The Thirteenth International Conference on Learning Representations , year=

Reference 63

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:4ceedae2b6913500a9a9edb853511846fa01835be07a92dc01325c470c18045b

Observation 3e74c1f2-e2ec-49e0-be03-1238593b7d28 · outbound

This paper cites Pattern Recognition , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Pattern Recognition , volume=

Reference 64

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:e9d35f12b88a81af42071c24bd22d4ea94b4baf21718b263547b8e7d1634b458

Observation 22c5b715-db9a-4c34-8fb9-fa708da7e27e · outbound

This paper cites KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks

Reference 65

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T02:06:26.627914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:c22f0807e30fe6ad5590290f6bd350e122f42c85894376f33d866f9ab6fdb45d

Observation d4237471-6428-4c57-a768-94810532415d · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25, J.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25, J

Reference 66

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:617b797342476515236da63387ca5f33871592828589ea1850327cc55dfdad04

Observation 1a7b06e8-4173-48c7-b808-280d46052c7e · outbound

This paper cites 2024 , howpublished=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 , howpublished=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:473d3f1dc92b7d2b475f74769b0937fb66dc6acefd25acb38957d2a57be35329

Observation bea9b6bb-7b8e-4c7b-9d24-7e702b9d112b · outbound

This paper cites 2009 , howpublished=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2009 , howpublished=

Reference 68

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:aad5668abfe45af0316c5da3054af94b9bbe1392a48dd92caf42f43dc5ea6899

Observation c2e13aea-10d7-4409-a0cc-42c4ff9edaaf · outbound

This paper cites 2021 , howpublished=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2021 , howpublished=

Reference 69

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:6c0a0d56918a7d3a30525e4149a0a80a5403e8a289095688d31c572034261c9d

Observation c89d686c-3acf-40be-8f44-e57d48fcbbf8 · outbound

This paper cites 2023 , howpublished=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2023 , howpublished=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:9d15122bfc911593846916a0121a2fe81a896cb8fb1cffb263b9cae51a347c74

Observation 2192f59c-9a17-4f0e-9566-783844fbe1d1 · outbound

This paper cites Proceedings of the VLDB Endowment , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Proceedings of the VLDB Endowment , volume=

Reference 71

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:a8039b8be5fb7ab1431d9bdeecbe2aaa65052dae1b81d1ca9ca0dde033a6044f

Observation 0e0db1b8-fb84-4bc4-b8ce-ac5e9d407c55 · outbound

This paper cites The VLDB Journal , volume=.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The VLDB Journal , volume=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-06-28T11:16:04.531865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T11:16:04.531865Z digest=sha256:7417739c1b5215cb343c8867ccc9307639558a4a3307bb81c0576bfa71c9fe00

Pith citing papers

No inbound Pith citation observations are available.