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Paper Citation Record · LEDGER

Hybrid Ranking Network for Text-to-SQL

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.04759.

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

pith.paper-citation-record.v1
2008.04759 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:37:54.128572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.853854Z

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 724ee991-9520-4773-ad9c-2bac46c85b66 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Hybrid Ranking Network for Text-to-SQL

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:59.674695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:18d24a5ec9b2ac91c254bc5cede384a17f13168f9ce79306a8206543acf1aecc

Observation d94010e3-3d2f-42ec-b893-fd39c92b2e5f · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Hybrid Ranking Network for Text-to-SQL

Reference 188

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:01:00.856570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:78aec1acb86496471c40a5dba1ae88b085688a58a12058a672dd9b6bed97dd5d

Observation 7d7b2239-e742-4675-bcde-de15180edd47 · inbound

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL cites this paper.

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL Hybrid Ranking Network for Text-to-SQL

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-11T23:37:54.128572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:37:54.128572Z digest=sha256:b5bbad1b15c1eef93e8f243cad31f36086f0c36a3d1490e176be114012a33ebb