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Paper Citation Record · LEDGER

Reparameterizable Subset Sampling via Continuous Relaxations

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1901.10517.

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

pith.paper-citation-record.v1
1901.10517 v5

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 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:38:21.785109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 85a74f23-0168-4374-907b-b27aca9cad12 · inbound

Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning cites this paper.

Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning Reparameterizable Subset Sampling via Continuous Relaxations

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:21.785109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:21.785109Z digest=sha256:212e8a175ac19ff192c696e0d6535a0a078349540ec8f7b2852f64cd1cdcc2f1

Observation 305c9f58-35c5-4f64-aa21-358d63b6ba68 · inbound

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling cites this paper.

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Reparameterizable Subset Sampling via Continuous Relaxations

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T17:06:37.551504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:06:37.551504Z digest=sha256:f66d9cdd88c76abbafe524fb2096d97811ca5aae81cacc96c6e164cd67e4c4fc

Observation 7ba21d4b-9027-4a0b-91eb-9bf52fac476a · inbound

Learn from A Rationalist: Distilling Intermediate Interpretable Rationales cites this paper.

Learn from A Rationalist: Distilling Intermediate Interpretable Rationales Reparameterizable Subset Sampling via Continuous Relaxations

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T06:36:47.289264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T06:36:47.289264Z digest=sha256:477e4a4e82fd6811ec3caef6fefe207ca8ba6688fe1e0758fae26848fe14c0ab

Observation 8e546ac2-615a-4e7c-a382-9581c6f970de · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Reparameterizable Subset Sampling via Continuous Relaxations

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-06-26T00:28:43.041131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T00:27:41.609691Z digest=sha256:510e2f6ec5a82ff07ba9682836d7acd893e646e1118d1f97cf61abe93008c939

Observation 07dde933-115e-4a37-86f4-9a52c578c9d3 · inbound

Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective cites this paper.

Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective Reparameterizable Subset Sampling via Continuous Relaxations

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-14T06:44:16.198117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:44:16.198117Z digest=sha256:6ec7242a9e5e1994767d02a7b0e91e5592f89b1508d5267cce5233d2d5e983ba

Observation c7383a56-4a79-451a-bf5b-81cf390a8cdf · inbound

DeeperRadar: End-to-End MIMO Radar Design and Multi-Modal Fusion for Autonomous Vehicle Perception cites this paper.

DeeperRadar: End-to-End MIMO Radar Design and Multi-Modal Fusion for Autonomous Vehicle Perception Reparameterizable Subset Sampling via Continuous Relaxations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T18:18:41.531033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:18:41.531033Z digest=sha256:605375983fc10eaa5fbdc240aafd075c8e7618e41b3af3213ed0479b224fdc78

Observation 510921f9-8f5e-4405-8a4d-1e769d851599 · inbound

LaPrune: Controllable Differentiable Sparsity at Million Scale cites this paper.

LaPrune: Controllable Differentiable Sparsity at Million Scale Reparameterizable Subset Sampling via Continuous Relaxations

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T00:53:24.703140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:53:24.703140Z digest=sha256:d23cd6a57c51e4f009f26b29ab182fce737b41848d8620a39e37a839decc9398