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Paper Citation Record · LEDGER

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.04015.

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

pith.paper-citation-record.v1
2403.04015 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:37:51.036912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:29:11.778191Z

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 18566ba5-b9fa-4cfe-8bae-b1b3468e40da · inbound

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective cites this paper.

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T23:37:51.036912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:37:51.036912Z digest=sha256:1f73a937ea67d29dcc407bdb4e9d2273de39eb44b997586e28b8d38d87e2a897

Observation 827c20d7-e997-4d8f-8235-d88ab8d44df1 · inbound

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories cites this paper.

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:05.660110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:05.660110Z digest=sha256:9d3ccc8370f1921853cb3e7097bc20a931ce1d6f9352e66a62b74bc6e9e267b5

Observation b212b3ff-35bf-4119-af66-2236e5d25004 · inbound

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation cites this paper.

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:49.743084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:49.743084Z digest=sha256:cc5f791dc443ecde13b15005a1ddbe5a8e71abb2ff5e8a9e0c989e57e7809f1d

Observation f328dfa5-a1df-4e25-9e70-552d05bc5d92 · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:41.583613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:41.583613Z digest=sha256:2dbcdcd9ec3d7bbfde2ec58f266710eb328ca94a5de4a1d2c91fbd352a7acd0c

Observation 00ef2828-da58-42b3-b9bb-b622c2a53c5f · inbound

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage cites this paper.

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:58.471704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:18:58.471704Z digest=sha256:ca0120caa5677b1ad0f510db0383267dfe81bc8eab9ecd93352d734253009157

Observation 601a7f3d-f5f4-4b70-8f23-8a24a65ce8fc · inbound

Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning cites this paper.

Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:38:29.129831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:29.129831Z digest=sha256:412771f3bd207f282a3dfe29b4d667e21d9fac7c22e9b597dc24c202d4d79532

Observation f836ff2a-fe1b-47c2-9781-7b7664f20c82 · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:57.345374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:14:57.345374Z digest=sha256:eba0f0573b55b865312bdd13d80c7a811e87eb88742424aa9fcd584fa87ee31f

Observation 62865429-6c3d-4b23-a676-bcdfb11a6b00 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 102

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:29:11.836226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:05.459541Z digest=sha256:f7365fd39d9e4963ed7bc6e66f6047145bb497c6c3d0b09666b8d2563a65a52a