Paper Citation Record · LEDGER

Comparative analysis of financial data differentiation techniques using LSTM neural network

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.19243.

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

pith.paper-citation-record.v1
2505.19243 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:28.940816Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

verified exact3
verified fuzzy11
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e27806eb-eac0-4988-9b8d-84cd7cc8889a · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:32.851305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50fe3f73-72bb-45b3-9425-6e7827cf0c3f · outbound

This paper cites M., Sabzikar, F., & Chen, J.

Comparative analysis of financial data differentiation techniques using LSTM neural network M., Sabzikar, F., & Chen, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:32.350357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0dd83243-8164-440d-a055-4c841be62aaa · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:31.151516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79c87d29-6a73-4f07-8e9b-63aa1b85603e · outbound

This paper cites M., & Latham, W.

Comparative analysis of financial data differentiation techniques using LSTM neural network M., & Latham, W

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:32.666551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9f00aca-590c-41bd-ba3e-7cb0a9f5ea42 · outbound

This paper cites M., Sabzikar, F., Phanikumar, M.

Comparative analysis of financial data differentiation techniques using LSTM neural network M., Sabzikar, F., Phanikumar, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:32.172634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44717679-a09a-44d4-a4fe-3b89973f1d46 · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:31.055404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0708c80-7a97-4da3-9952-189444fe496c · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:21:30.950847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f203cf0-191f-443e-94ae-1282cb35847f · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:30.825788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fb622da-77f7-493c-8a93-c412d6c3f5a1 · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:30.567155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e474b4fe-a23d-4245-82ff-0820f3f2fedf · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:30.322368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e838ccee-2027-4e1a-b7cf-6146c9b17a38 · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:30.024855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b941b75-5959-4dc6-9757-cc1815f716ae · outbound

This paper cites Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022).

Comparative analysis of financial data differentiation techniques using LSTM neural network Transaction costs of 0.005% are included (Kryńska and Ślepaczuk, 2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:29.770921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4621f310-76ce-44c9-b496-e57d32df01f0 · outbound

This paper cites (2021, January).

Comparative analysis of financial data differentiation techniques using LSTM neural network (2021, January)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:21:31.306041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 256ae362-4502-4b3a-af20-69ea5094e065 · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:32.485973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9372a25a-e3ab-4a17-839e-b275e84f74ab · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:31.829851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ecaddf4e-7688-4c9c-8d87-4274926acbe9 · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 117

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:31.480224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc1eda99-51a0-4b3a-8022-6f4bd9225cc9 · outbound

This paper cites Deep Learning for Portfolio Optimization.

Comparative analysis of financial data differentiation techniques using LSTM neural network Deep Learning for Portfolio Optimization

Reference 158

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:21:29.159219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 722ba7ed-027c-401f-9768-f85e7b946e59 · outbound

This paper cites Statistical inference for ARTFIMA time series with stable innovations.

Comparative analysis of financial data differentiation techniques using LSTM neural network Statistical inference for ARTFIMA time series with stable innovations

Reference 687

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:21:29.355621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c150fcfb-0e58-4c1f-a366-364255efdef6 · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 917

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:32.014673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 762ea17e-7b24-477f-9fae-b1292aaa839f · outbound

This paper cites Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data.

Comparative analysis of financial data differentiation techniques using LSTM neural network Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data

Reference 2349

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:21:29.529400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be10dcc9-3bf0-4751-bda8-ff67f57c2edb · outbound

This paper cites an unresolved cited work.

Comparative analysis of financial data differentiation techniques using LSTM neural network Unresolved cited work

Reference 2717

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:21:31.676311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.