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Paper Citation Record · LEDGER

Deep Sequence Modeling: Development and Applications in Asset Pricing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.08999.

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

pith.paper-citation-record.v1
2108.08999 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:20:46.265767Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:04:58.204110Z

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 6daf24ee-b6b9-4057-b71b-c5e33977411c · inbound

Asset Pricing in Pre-trained Transformer cites this paper.

Asset Pricing in Pre-trained Transformer Deep Sequence Modeling: Development and Applications in Asset Pricing

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:20:46.265767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:20:46.265767Z digest=sha256:59ff841a98726ece950731e8a7a21f6555f62cfbba38cb00fdf10e91bdb6313a

Observation 4f414a00-3037-43c1-91bc-548736d99fa1 · inbound

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models cites this paper.

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models Deep Sequence Modeling: Development and Applications in Asset Pricing

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T16:04:58.216741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:04:57.908274Z digest=sha256:77343ddc9463772d2216a4ba994d9fc4d681feaad3e9ed7c86afa914c787ed6a