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Paper Citation Record · LEDGER

Batch Active Learning Using Determinantal Point Processes

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1906.07975.

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

pith.paper-citation-record.v1
1906.07975 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:47:40.983005Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T17:45:12.529361Z

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 b20b7960-4945-4a18-bf1f-13be0ee098a5 · inbound

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation cites this paper.

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation Batch Active Learning Using Determinantal Point Processes

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T21:35:43.254252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:35:43.254252Z digest=sha256:4b2c20e0456c6f173a830221f520fd31972a8289da757c9a076373b90887377c

Observation 3466c12a-4ec5-4939-86e6-68b42335d954 · inbound

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation cites this paper.

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation Batch Active Learning Using Determinantal Point Processes

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T23:47:40.983005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:47:40.983005Z digest=sha256:df1a8efc080b47cc1edbba745fcf46c0ca5ce80ac055e5eb93ef9dc7dda1085c

Observation a125668f-a7b1-441b-a22c-1908b1bed155 · inbound

Active learning for photonic crystals cites this paper.

Active learning for photonic crystals Batch Active Learning Using Determinantal Point Processes

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:55:14.789686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T14:54:51.772927Z digest=sha256:34d9fe799366508343514f11bd95f3a51dd62493b290cebf6e09eeff4c2e0337

Observation 000c8386-01c4-4990-9a2b-a98cdf9e38ea · inbound

Variational Proximal Policy Optimization cites this paper.

Variational Proximal Policy Optimization Batch Active Learning Using Determinantal Point Processes

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:57:26.049106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T19:22:23.768249Z digest=sha256:34518111bb6eae651b9cb642109a2ca6f125442b484ed0ad25ec2e70f94d5bfd

Observation 7247f220-d368-4cda-a0fd-0fa9c12b6db5 · inbound

Determinantal point process sampling for bioacoustic active learning cites this paper.

Determinantal point process sampling for bioacoustic active learning Batch Active Learning Using Determinantal Point Processes

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-08T17:45:12.530650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:eb1eef3f60df006f5e45168073b7a177a33138af561db132db71de0518e3da52

Observation 34391ed9-5bfe-447e-8f37-918923297ebf · inbound

Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning cites this paper.

Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning Batch Active Learning Using Determinantal Point Processes

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T04:53:31.938678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:53:31.938678Z digest=sha256:5c62dedcfe5860a326765d612e3eb9014d8646656e8edc3288b95cf7fc3f1c2c