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Paper Citation Record · LEDGER

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.01279.

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

pith.paper-citation-record.v1
2505.01279 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:27:17.652730Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a212b53-b8fe-46b7-b090-c6b2bc165a34 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-16T04:27:18.445857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f624bcb2-feaf-49c0-9ff0-39a648f11ff0 · outbound

This paper cites Longformer: The Long-Document Transformer.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Longformer: The Long-Document Transformer

Reference 2

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no resolver link, observed 2026-08-16T04:27:17.442600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.442600Z digest=sha256:5146d9e980322b9f17e0632e85a41ef07841759a2fbb116c4ec5e73cec571231

Observation e723c0c5-9346-4fb0-8245-b11333f05f44 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 3

Resolution
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raw_fallback, observed 2026-08-16T04:27:18.429018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 34662eb8-8346-4d94-a81d-8c448c36fc19 · outbound

This paper cites GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism

Reference 4

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no resolver link, observed 2026-08-16T04:27:17.453611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.453611Z digest=sha256:29c4309406a48dd9a5a325f385e4b3ac13230a8157891ae4bc78dce1f78db657

Observation 82b0a101-67fd-4cc6-84e1-907571a1f70a · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.459120Z digest=sha256:7a7c2680078bd1782f572589ba8ca53c7e06bc28acaa8d3951efac6a564b4202

Observation 45b87133-b50e-4ae4-835c-ceb65871bbbb · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 6

Resolution
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raw_fallback, observed 2026-08-16T04:27:18.397628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.464182Z digest=sha256:d085b1c186bf2d76371ffb80d5582efff70b4c3c47c1ef449faf579d84272b11

Observation 94868395-9664-46c8-aa38-490b9d373083 · outbound

This paper cites Multi-Scale Convolutional Neural Networks for Time Series Classification.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Multi-Scale Convolutional Neural Networks for Time Series Classification

Reference 7

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no resolver link, observed 2026-08-16T04:27:17.474559Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:27:17.474559Z digest=sha256:e4b39d91685bd3b417bccb3ba68b39dbb04a5bc3c9a8df68b5edb04f8100d2fc

Observation ef2ad443-4036-4353-8be4-a9ab62e4a6fc · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-16T04:27:17.480727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.480727Z digest=sha256:ef01cfb82977107739e26338477d4c90bb5fabc21c32e6a781aaad6626562b47

Observation 2a684307-bace-4fcc-a3d4-ced32194a74b · outbound

This paper cites Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Reference 9

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no resolver link, observed 2026-08-16T04:27:17.485159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.485159Z digest=sha256:5d9c4a83bc52e3545d7f04363a00ca10393432b7cc7007d0e55deb4dee1a7d4f

Observation 56bca331-2a5c-4f41-b759-1cf0bf539672 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 10

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no resolver link, observed 2026-08-16T04:27:17.489702Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.489702Z digest=sha256:721f2cdba419ce87ce67aa967b6a5c1671e0f290ebecb91182bde7634a1938a5

Observation ae976af3-9ae5-4910-94fa-d5b2d3d9c1c3 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-16T04:27:18.364701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c53316f8-dba1-4fce-b1e0-a9ad6fd09fbd · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-16T04:27:18.348656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0f8bf3fc-bf3f-48f7-a2f3-2390e18805b5 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-16T04:27:18.330397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d56a3fba-26f8-4721-bbda-81c71d08597c · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 14

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Observation 2d868994-0df3-4970-81cf-c99203397639 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.514366Z digest=sha256:e16301edf59c28c38d77174404dbc86fa57056c283729a44ce69e634cfa99baa

Observation 490af17f-4920-419a-b874-c6a821569d4d · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.519147Z digest=sha256:ed8488f8ad0527dd9854f2a49dd477616a1d47c83a629e6b86c8102c3367566a

Observation d0b061f8-585c-4335-b002-d99b7b55d4d3 · outbound

This paper cites Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning

Reference 17

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verified exact
local_arxiv, observed 2026-08-16T04:27:17.787684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b4c0f47b-1c55-4079-96cb-75df08efab26 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 05dcd6ef-1de9-4e1b-bcd1-17920320503a · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 617a66aa-bb3e-462e-ac8f-094e84275723 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c29fa2a-4d82-459e-a38e-7d6dd1f6a651 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3cc93270-1ecf-4b94-b7db-8dc1b76724f7 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 22

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Observation 38e0e05c-2303-4127-b307-1ea0f716c0bd · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 23

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Observation c99b8170-b49f-48af-b841-b13da7c8967e · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 27fded23-515b-4c3f-b2df-4434cc800a90 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 25

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Observation 69e7abbf-5682-490d-8f56-4ee413bfa56d · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 26

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Observation 932c53d1-104e-4e6e-a69e-d0da23ee583f · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 27

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Observation 25e275af-6f4f-42d6-8729-d72f9edae148 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 0eab0a90-7ff4-4f5f-bcb6-bcb9316016d6 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-16T04:27:18.137946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6afebca-9878-4c65-89fb-24cc4c716372 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-16T04:27:18.121919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c9fd124e-f742-4989-93fd-7603d9d985d9 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 31

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no resolver link, observed 2026-08-16T04:27:17.600081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.600081Z digest=sha256:cfbe59a53a70c351fd4d109f7efb06325f76913ecccccc38edf9c25ee3c1fcd8

Observation f1c9b2b1-3936-45b2-ac96-0476d4dc7ba6 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 32

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no resolver link, observed 2026-08-16T04:27:17.605363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.605363Z digest=sha256:da1eb91d56bfd3406342c3a45a33e824c39a85533628587d8e9f1b49b84f69f9

Observation eba1ff52-9e5f-4b62-bf61-15744bb50dc9 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 33

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no resolver link, observed 2026-08-16T04:27:17.610280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.610280Z digest=sha256:e053d7775672df1021ebd09e45c9188a2bf76c50d61923d86bd57baa42e05c5d

Observation b1af020b-467f-4840-96eb-c3ed5119402f · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-16T04:27:18.103442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 03212624-f202-4c58-9939-b15b720cb128 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-16T04:27:18.068893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a4083cd3-25b8-452a-a054-522d4248514e · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-16T04:27:18.036005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5df0201f-448d-4821-a3ec-32c980dffea6 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:17.638713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2c92aab3-e40c-4cf6-b7c2-cb7e6422fcdc · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:17.648251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.648251Z digest=sha256:d9af490dfeb13094cfc1022a2cb5bb67587ea55fcb4f7d7cd1120276da032450

Observation 25070552-10ca-4b57-98c5-500d5f99a902 · outbound

This paper cites an unresolved cited work.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:27:17.998121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.652730Z digest=sha256:105cb0ae6f4e4c1cefbe4c2745e4acb630a3eac64e1d3ceb78f1d965cb9429da

Observation d94d932e-05b6-49bf-b709-9768f8966083 · outbound

This paper cites ERNIE: Enhanced Language Representation with Informative Entities.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes ERNIE: Enhanced Language Representation with Informative Entities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:17.643726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.643726Z digest=sha256:420996cec7e37149c12ceda054b2b625653348e562f0205f5069f459d6a93cca

Observation d9a80d79-c63b-44d0-adfc-4e0e7a493f30 · outbound

This paper cites In Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I 25.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes In Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I 25

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:17.581673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:17.581673Z digest=sha256:509b802036bcb97c72cbf36c5f99ec9aad802aec8698159ac619392f79e795e7

Observation a54b8b12-eca3-4afa-8bfa-930db45c3707 · outbound

This paper cites Future Internet 11, 4 (2019), 94.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes Future Internet 11, 4 (2019), 94

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:27:18.086295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.621552Z digest=sha256:2115aa1f7d837bdc8f1b1abb24af49d556146aeabae4882ca832b57120bafe9a

Observation 316ca6d6-ee92-42b5-bdbd-58cd26609330 · outbound

This paper cites In Proceedings of the ACM Web Conference 2022.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes In Proceedings of the ACM Web Conference 2022

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:27:18.051950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.630079Z digest=sha256:b62a621dbb46d7aedf512332afd0807564d1df342ecf65c6bbe1219f00d490d3

Observation fd32a095-4db4-4a7b-8c3a-b74da246e8ed · outbound

This paper cites In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.

Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:27:18.381239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:27:17.469497Z digest=sha256:47a2b1529bd07a32a4c7c78ce77c26363828079e514a53214757e20275f18678

Pith citing papers

No inbound Pith citation observations are available.