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Paper Citation Record · LEDGER

Multiplicative LSTM for sequence modelling

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1609.07959.

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

pith.paper-citation-record.v1
1609.07959 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T20:13:52.081698Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T20:16:11.644360Z

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 29a690d8-7763-4e5f-96ed-ed0f27d7ff07 · inbound

Evaluating Protein Transfer Learning with TAPE cites this paper.

Evaluating Protein Transfer Learning with TAPE Multiplicative LSTM for sequence modelling

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-25T20:16:11.647806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T20:13:52.081698Z digest=sha256:68879f2a35f689d0a400788ce30f35dd3b1a20d4b1ded685be5bb5ec0b2b8eca

Observation 2afad132-7335-4425-8295-b09a3e5cc3a8 · inbound

Multiplicative Models for Recurrent Language Modeling cites this paper.

Multiplicative Models for Recurrent Language Modeling Multiplicative LSTM for sequence modelling

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T12:15:47.078530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T12:14:42.149432Z digest=sha256:5871b06c502721fd6fd733a07e41bee88de15d1f4829d644a132da24a8f5a919

Observation 7715a098-86de-4a1d-9dc0-e46ab28a46fc · inbound

Inter and Intra Document Attention for Depression Risk Assessment cites this paper.

Inter and Intra Document Attention for Depression Risk Assessment Multiplicative LSTM for sequence modelling

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T12:30:47.952152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T12:29:20.224205Z digest=sha256:a81c59021f7f4fdd55667430b7ce0069cd8b9971caa0e832096fee9a0f415310

Observation 2f14e925-3e8a-4d59-9604-d084c921b74c · inbound

A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning cites this paper.

A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning Multiplicative LSTM for sequence modelling

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:24:58.091162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T21:20:27.642301Z digest=sha256:68032e686a4eaf4f49052329519d4fc69033558a8c1bd87f792d467c71d00542

Observation 549acdf6-fd6e-4043-8279-d6f8fe166dd2 · inbound

Compressive Transformers for Long-Range Sequence Modelling cites this paper.

Compressive Transformers for Long-Range Sequence Modelling Multiplicative LSTM for sequence modelling

Reference 115

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T10:46:16.524083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T10:46:16.373197Z digest=sha256:095f75878ea391b0aed4189d9e3dc46267ddf6f8b9e65775e5c9ef51c1979cf8

Observation 706d0505-9022-4088-b80e-22ec2917cbd9 · inbound

Cubit: Token Mixer with Kernel Ridge Regression cites this paper.

Cubit: Token Mixer with Kernel Ridge Regression Multiplicative LSTM for sequence modelling

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:10.927012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T12:38:19.925573Z digest=sha256:21eaab3bef880cb0699d3372d3b5c41cc7a399e0cef88dd353676ae5fe8d9770

Observation 63326634-8844-44d3-9a1d-47cf3ffd071a · inbound

Cubit: Token Mixer with Kernel Ridge Regression cites this paper.

Cubit: Token Mixer with Kernel Ridge Regression Multiplicative LSTM for sequence modelling

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:39:10.878842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T22:34:36.108826Z digest=sha256:0c2d565f1fa2fad7b9f755efdcc0d5db03bcdee14d2144373b2e487e623f87eb