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Paper Citation Record · LEDGER

Neural Paraphrase Generation with Stacked Residual LSTM Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1610.03098.

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

pith.paper-citation-record.v1
1610.03098 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:37:38.800174Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:01:06.677190Z

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 4a1153d7-a05e-497c-9dd5-c37a1abd9066 · inbound

Decomposable Neural Paraphrase Generation cites this paper.

Decomposable Neural Paraphrase Generation Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T18:01:06.680876Z

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=2026-05-25T17:58:07.422786Z digest=sha256:f84b221c9deac9d64404d08294dba3aadae7728a469a5b32aaab9102eee179b9

Observation 40d68d2d-3c95-4e41-a3aa-22634af15c6d · inbound

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites cites this paper.

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T12:37:38.800174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:37:38.800174Z digest=sha256:c60620b9b9fe4a8870e232c6b22ab49dd1345e472ce6b4baacf3750ac3e24927

Observation 23c1e357-8ddc-44eb-80a4-90052662d2b0 · inbound

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation cites this paper.

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T10:35:53.231619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:35:53.231619Z digest=sha256:6bb6f80155c53dc88d2cc9f896c0f847a77f3142253a6cf4d8c7e50b27c2b559

Observation 34e2f912-fb6a-436e-b608-b7cf8b9397e3 · inbound

Causal Effects of Brevity on Style and Success in Social Media cites this paper.

Causal Effects of Brevity on Style and Success in Social Media Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:10.547850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:10.547850Z digest=sha256:e66cbf44d32ee27a66c159e9ba4499c5e384c18205171149c9ab54b7442ce2d0

Observation d3bcbb30-3db2-4392-80c7-865886d923a8 · inbound

Fake News Detection After LLM Laundering: Measurement and Explanation cites this paper.

Fake News Detection After LLM Laundering: Measurement and Explanation Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:03.743748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:03.743748Z digest=sha256:ce29201fe68b129d3dabb20857791128e8bbe6009c3dead7a0b3c18e7282e3e0