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Paper Citation Record · LEDGER

Batch Active Learning Using Determinantal Point Processes

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:35:43.254252Z

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=sha256:4d3e2ec86c94af75e23082714b017635e79efc85278eb2296982f8659621e248

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T14:54:51.772927Z digest=sha256:54cf91433211267633f0a639839a2d16dd95ed36716d75236d5b15977cba2463

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T19:22:23.768249Z digest=sha256:1f2c0ecdb3bc0e2de0ff3008f57e77ae9d9e6233d499ee564411cd77576355ed

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:06c8a70941a8027f0452b95f8a6585b296e11b81a8e392dd94e9ff1f3ae3035e

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=sha256:9f6cb1ccc610f79d495a61f0528fe93f13bfccaefaf2b9f1f5d972aaefcbb24c