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Paper Citation Record · LEDGER

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1803.06386.

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

pith.paper-citation-record.v1
1803.06386 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:25:08.141052Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T21:35:05.263858Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0fc09671-0a30-485d-9dd2-7fdd3d9b506e · inbound

S&P 500 Stock's Movement Prediction using CNN cites this paper.

S&P 500 Stock's Movement Prediction using CNN Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:03:18.748269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T19:02:10.690974Z digest=sha256:c4d14b0bf42c8dcb12dfb1b125b825367892600326d0cf28e1312b8edb186b94

Observation 5dcee508-27aa-45fe-8882-8afeb70e11e8 · inbound

Channel-wise Retrieval for Multivariate Time Series Forecasting cites this paper.

Channel-wise Retrieval for Multivariate Time Series Forecasting Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:20:48.654815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:56:57.276343Z digest=sha256:1d53de1f5eed3ec9c3eb7892bcae8c84b4f3776254c65392e4785af80ba3e58f

Observation 70219e1b-e2a6-4c91-bf17-8148ead0d1e4 · inbound

TempusBench: An Evaluation Framework for Time-Series Forecasting cites this paper.

TempusBench: An Evaluation Framework for Time-Series Forecasting Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.600135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:21:51.268107Z digest=sha256:e0ea3b8a739c29ef5bce819b7236287aa81f06555f7937f7df1c7c251a9ea6c1

Observation 8d378b02-4b9a-4cbc-8394-4fe9655e66c7 · inbound

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers cites this paper.

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:35:05.265168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:25:08.141052Z digest=sha256:dfc8894a52fcf7460e93f6c97f03473e0177c2a2aea19d5ec9f11fb23d6ca873

Observation 85cb8c26-4a0c-422c-b3f2-fcebfd9e57d3 · inbound

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token cites this paper.

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:39:57.305307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T09:39:45.749564Z digest=sha256:5a3b5db679866b1eca2aab42a55c82b9a88ed086e4c7a2b7838c0bd214362e59

Observation dfc64d99-777b-42ed-8909-38550f8ca5d1 · inbound

Reviving Error Correction in Modern Deep Time-Series Forecasting cites this paper.

Reviving Error Correction in Modern Deep Time-Series Forecasting Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:29:39.714210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T05:25:34.356205Z digest=sha256:593b41aa142a434398117ab754b6184c703ec3b003cee736ff5775978650cdac