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Paper Citation Record · LEDGER

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.01909.

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

pith.paper-citation-record.v1
2004.01909 v1

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:38:54.639689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:21:06.710371Z

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 7b7f4e79-90f9-4b0b-9334-fc0e56e9e9df · inbound

RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search cites this paper.

RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T18:25:00.470504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:25:00.470504Z digest=sha256:10ec1c332ee9995f29dbd0eac01ffc85b5ced186b76495aaf9d82157417efdac

Observation ea6650f7-e76c-450d-a03f-f0a9f7b47af3 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T19:32:34.297250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:32:34.297250Z digest=sha256:137cbf58220bfe9cb15787c88dc9f56568708f1e277472329d9f3b5bfcb2e977

Observation 84ccdba6-d1d3-47a4-850f-8b2ccf569261 · inbound

Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User Questions cites this paper.

Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User Questions Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

Reference 9474

Resolution
unresolved
no resolver link, observed 2026-08-06T19:42:54.933904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:42:54.933904Z digest=sha256:e71dfd32d581776918b258c76344cdf54b798ad8c9177a73fd55091cf70eb7d1

Observation 78463935-3c57-430e-9d1f-6e6986c1a9bd · inbound

Adaptive Personalized Conversational Information Retrieval cites this paper.

Adaptive Personalized Conversational Information Retrieval Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T17:38:54.639689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:38:54.639689Z digest=sha256:c33c54b053b307d4e116cc00e0f7ad349051e79d82037bfd3851fbd8c4f5bafd

Observation 85374d0b-83e6-484e-b43c-7c00ecf3e302 · inbound

Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search cites this paper.

Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:21:06.715703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T18:10:24.563347Z digest=sha256:9cdee05556c8bc94f4ad911691075fa83c7475816e6537550cf3526b7eda70e7