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Paper Citation Record · LEDGER

Toto: Time Series Optimized Transformer for Observability

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2407.07874.

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

pith.paper-citation-record.v1
2407.07874 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:18:50.605864Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa07e76c-a40e-4096-9138-4733a9355977 · inbound

Byte Pair Encoding for Efficient Time Series Forecasting cites this paper.

Byte Pair Encoding for Efficient Time Series Forecasting Toto: Time Series Optimized Transformer for Observability

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T15:39:35.321970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:35.321970Z digest=sha256:4fc332e775762889348f3bbab9630e01eaa1d6f900179bb40a6490f4838ce52a

Observation 79ef48ad-87d9-4c88-ad67-43dc929c853c · inbound

MoTime: A Dataset Suite for Multimodal Time Series Forecasting cites this paper.

MoTime: A Dataset Suite for Multimodal Time Series Forecasting Toto: Time Series Optimized Transformer for Observability

Reference 11

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unresolved
no resolver link, observed 2026-08-07T15:27:19.475470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:19.475470Z digest=sha256:6e9daa5425f65da97bd84c0b188f0dad69bb3350eea17f87af907b30bc65f721

Observation 820dceaa-cf3d-4930-bcd9-4ef56db26cca · inbound

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling cites this paper.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Toto: Time Series Optimized Transformer for Observability

Reference 11

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verified exact
arxiv_id, observed 2026-05-15T16:50:10.973507Z

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=2026-05-15T16:49:19.112440Z digest=sha256:9547cee0a69234ca78f5c2c41899852343e1c4e932f73ffbdf87865194c8eef6

Observation eafeb3fa-3106-4d72-8b9d-9e3a5b23c6a5 · inbound

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series cites this paper.

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series Toto: Time Series Optimized Transformer for Observability

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-10T23:30:52.332161Z

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=2026-05-10T19:03:55.571371Z digest=sha256:45d4205ff977daa2af71cb8842495eb8c0f3fa999f466ee2602b9cbbd34d6cb2

Observation eb17ba65-80f3-4c8b-ae28-1d125fd49e73 · inbound

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series cites this paper.

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series Toto: Time Series Optimized Transformer for Observability

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-12T07:46:38.977155Z

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=2026-05-12T01:56:28.019565Z digest=sha256:92f8ed9b4da8f9ff0c32ba1d5d3bfab3e7bd1fa0d2432160c223e768108d9b6a

Observation 6bcd532f-502c-4414-9748-fce31426657e · inbound

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting cites this paper.

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting Toto: Time Series Optimized Transformer for Observability

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T10:01:01.745607Z

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=2026-05-10T15:41:59.065163Z digest=sha256:f2dc75a474384e920c88a22520415df95dca05301f5f9f6fc5da4e7e498d402f

Observation e068de9c-21bf-4f29-8219-27394d69526f · inbound

RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction cites this paper.

RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction Toto: Time Series Optimized Transformer for Observability

Reference 56

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verified exact
arxiv_id, observed 2026-05-12T07:56:28.637978Z

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=2026-05-12T01:28:52.647625Z digest=sha256:f22c272ed73e89fc11302aead507baaf7884704d4a2eacfe39258c68a493f8cc

Observation 443db1da-2dc9-44d8-8749-c6ec210dd9c7 · inbound

Toto 2.0: Time Series Forecasting Enters the Scaling Era cites this paper.

Toto 2.0: Time Series Forecasting Enters the Scaling Era Toto: Time Series Optimized Transformer for Observability

Reference 12

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verified exact
arxiv_id, observed 2026-05-20T06:43:05.716734Z

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=2026-05-20T06:42:13.688042Z digest=sha256:ba27f778d0d7852a70298c2a3a1557d5d03c91227dd173c6a4135adb496e3da3

Observation 62307efa-7514-466e-af7d-04fc98848d3a · inbound

Toto 2.0: Time Series Forecasting Enters the Scaling Era cites this paper.

Toto 2.0: Time Series Forecasting Enters the Scaling Era Toto: Time Series Optimized Transformer for Observability

Reference 12

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verified exact
arxiv_id, observed 2026-06-30T18:14:59.896258Z

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=2026-06-30T18:11:53.058900Z digest=sha256:31dc370feb6413f45377ba49a1dfd7dadd88a501323e280735197788109badbd

Observation f0843ad4-4320-4e65-b191-832906ea9706 · inbound

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G cites this paper.

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G Toto: Time Series Optimized Transformer for Observability

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T04:19:33.500027Z

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=2026-05-21T04:15:41.518743Z digest=sha256:d20a9df76aa6a5c148aa94db46518fa5d37a406cf0d4333273288a30efb6f071

Observation 7e0ea979-3ca0-4341-85e9-5e4f056fe16c · inbound

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version cites this paper.

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version Toto: Time Series Optimized Transformer for Observability

Reference 14

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verified exact
arxiv_id, observed 2026-07-01T21:56:15.613156Z

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=2026-06-28T16:03:51.869283Z digest=sha256:efaf6d48b1c56d59327251464d5ab2e9097339a07bd16d3b92ad77ca7f0b3c59

Observation f429bce5-2922-4b04-9f92-4432fffd7786 · inbound

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data cites this paper.

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data Toto: Time Series Optimized Transformer for Observability

Reference 5

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verified exact
arxiv_id, observed 2026-07-03T04:27:36.235390Z

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=2026-06-27T13:58:35.729820Z digest=sha256:ea7f4e3e06a598982a507c056b54cce05c591f67341f03e014ad849c4db3468d

Observation dc5f7178-4d51-4308-a8f7-677bfadfc01e · inbound

APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations cites this paper.

APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations Toto: Time Series Optimized Transformer for Observability

Reference 3

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metadata mismatch
arxiv_id, observed 2026-07-03T08:47:50.187298Z

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 3784d423-a91c-42c4-bcff-4ff0cea59699 · inbound

On Subquadratic Architectures: From Applications to Principles cites this paper.

On Subquadratic Architectures: From Applications to Principles Toto: Time Series Optimized Transformer for Observability

Reference 58

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verified exact
arxiv_id, observed 2026-06-27T10:30:51.611414Z

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=arxiv_source observed=2026-06-27T10:27:34.213676Z digest=sha256:5119f328dc3ca056f92d77e306d4ac3abe4009414ceab9aeff4b88cdff677a9d

Observation 0b1cd7c8-06f9-4e3b-b5b8-1811d7f97371 · inbound

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming cites this paper.

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming Toto: Time Series Optimized Transformer for Observability

Reference 12

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verified exact
arxiv_id, observed 2026-07-02T14:57:03.647612Z

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=arxiv_source observed=2026-07-02T14:53:59.401414Z digest=sha256:de85d67fa313117d2df8693d8afc50a3928d9734d5baff9a4ee2eeb4cf30e799

Observation d40ae508-7f54-4a1b-a268-7b8b929ee466 · inbound

Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence cites this paper.

Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence Toto: Time Series Optimized Transformer for Observability

Reference 3

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unresolved
no resolver link, observed 2026-07-12T08:28:36.712581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a93fe72c-2b1f-4798-b522-aabf78152475 · inbound

OpenMHC: Accelerating the Science of Wearable Foundation Models cites this paper.

OpenMHC: Accelerating the Science of Wearable Foundation Models Toto: Time Series Optimized Transformer for Observability

Reference 25

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unresolved
no resolver link, observed 2026-08-02T10:05:15.916994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7102482a-50bb-4b21-8f2c-18bb24afff84 · inbound

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters cites this paper.

When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters Toto: Time Series Optimized Transformer for Observability

Reference 29

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unresolved
no resolver link, observed 2026-08-08T18:18:50.605864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:18:50.605864Z digest=sha256:4529be1e617a7ecbf782b699120a95d51835b2e9b9e174777baaf4450bf6bbe9

Observation a16aea30-701a-40cd-89e3-a7da0c31e87f · inbound

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning cites this paper.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Toto: Time Series Optimized Transformer for Observability

Reference 1998

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unresolved
no resolver link, observed 2026-08-08T10:21:59.312083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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