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Paper Citation Record · LEDGER

Determinantal point process sampling for bioacoustic active learning

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2607.06063.

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

pith.paper-citation-record.v1
2607.06063 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T17:42:52.252216Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T17:42:52.252216Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T17:45:12.531776Z

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy10
  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d367476e-de94-49ea-a4a9-e4c4e14d0f95 · outbound

This paper cites an unresolved cited work.

Determinantal point process sampling for bioacoustic active learning Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 28fdf087-46f9-48a8-97ff-54c6fde1b735 · outbound

This paper cites an unresolved cited work.

Determinantal point process sampling for bioacoustic active learning Unresolved cited work

Reference 2

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Observation 82f50734-34f7-46a4-a284-f4da6c1d7525 · outbound

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

Determinantal point process sampling for bioacoustic active learning Determinantal point process sampling for bioacoustic active learning

Reference 3

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Observation 31992372-7bc6-492b-bd7c-e35fe8ebf588 · outbound

This paper cites Submitted Y AML files contain the per-cycle means and standard deviations.

Determinantal point process sampling for bioacoustic active learning Submitted Y AML files contain the per-cycle means and standard deviations

Reference 4

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Observation c946e72f-5494-4883-9935-2c236184ff2b · outbound

This paper cites Removing it reduces mean AULC from 0.50 to 0.46, with particularly large losses on HSN and UHH (Table 3).

Determinantal point process sampling for bioacoustic active learning Removing it reduces mean AULC from 0.50 to 0.46, with particularly large losses on HSN and UHH (Table 3)

Reference 5

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Source-reported events for the cited work

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Observation 5d2219ef-9caf-4227-b1a6-cbfe63624ad6 · outbound

This paper cites The method reaches a mean development AULC of 0.50 across ter- restrial and marine bioacoustic datasets.

Determinantal point process sampling for bioacoustic active learning The method reaches a mean development AULC of 0.50 across ter- restrial and marine bioacoustic datasets

Reference 6

Resolution
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Observation fd8b1779-7069-4ca6-9db8-386656c2dfad · outbound

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Determinantal point process sampling for bioacoustic active learning Unresolved cited work

Reference 7

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Observation 0914d4cf-eacc-42e4-b1c0-5342b6fdad4f · outbound

This paper cites A survey of deep active learning,.

Determinantal point process sampling for bioacoustic active learning A survey of deep active learning,

Reference 8

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Observation 685e6231-d374-48dd-bc33-b2b665b1b32b · outbound

This paper cites Computational bioacoustics with deep learning: A review and roadmap,.

Determinantal point process sampling for bioacoustic active learning Computational bioacoustics with deep learning: A review and roadmap,

Reference 9

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Observation 21fd8304-4d34-4f68-8321-d9b762e6fb15 · outbound

This paper cites BioDCASE 2026 Task 4: Active Learning for Bioacoustics,.

Determinantal point process sampling for bioacoustic active learning BioDCASE 2026 Task 4: Active Learning for Bioacoustics,

Reference 10

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This paper cites BaseAL: Active learning baseline,.

Determinantal point process sampling for bioacoustic active learning BaseAL: Active learning baseline,

Reference 11

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Observation aa0008c2-ae01-49fd-a330-5a19a1954d0a · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach,.

Determinantal point process sampling for bioacoustic active learning Active learning for convolutional neural networks: A core-set approach,

Reference 12

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Observation c82e1a2b-ff9a-4c3f-99e7-a9a28d3ef16f · outbound

This paper cites The coincidence approach to stochastic point pro- cesses,.

Determinantal point process sampling for bioacoustic active learning The coincidence approach to stochastic point pro- cesses,

Reference 13

Resolution
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Observation a6d17e47-19a4-46c4-8336-7d8371f3b302 · outbound

This paper cites Determinantal point processes for machine learning,.

Determinantal point process sampling for bioacoustic active learning Determinantal point processes for machine learning,

Reference 14

Resolution
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Source-reported events for the cited work

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

This paper cites Batch Active Learning Using Determinantal Point Processes.

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

Reference 15

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Source-reported events for the cited work

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Observation 3d2c30c7-d91c-4c52-ad16-efd8c9bc100b · outbound

This paper cites Perch 2.0: The bittern lesson for bioacoustics.

Determinantal point process sampling for bioacoustic active learning Perch 2.0: The bittern lesson for bioacoustics

Reference 16

Resolution
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Observation e69a1053-a90d-4639-a87d-7b14b8f6a271 · outbound

This paper cites BirdSet: A large-scale dataset for audio classifi- cation in avian bioacoustics,.

Determinantal point process sampling for bioacoustic active learning BirdSet: A large-scale dataset for audio classifi- cation in avian bioacoustics,

Reference 17

Resolution
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Observation fbb4d737-9c6e-46ee-b44b-08b0b88a5858 · outbound

This paper cites BioDCASE 2026 Task 4: BirdSet Dataset,.

Determinantal point process sampling for bioacoustic active learning BioDCASE 2026 Task 4: BirdSet Dataset,

Reference 18

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Observation fac6cbfc-f52a-4aab-9efe-dc873ea624f0 · outbound

This paper cites BioD- CASE 2026 Task 4: ATBFL Dataset,.

Determinantal point process sampling for bioacoustic active learning BioD- CASE 2026 Task 4: ATBFL Dataset,

Reference 19

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Observation a0a14291-a16a-4a75-9b14-8014b67400f9 · outbound

This paper cites On the low-rank approximation by the pivoted cholesky decomposition,.

Determinantal point process sampling for bioacoustic active learning On the low-rank approximation by the pivoted cholesky decomposition,

Reference 20

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Pith citing papers

Observation 82f50734-34f7-46a4-a284-f4da6c1d7525 · inbound

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

Determinantal point process sampling for bioacoustic active learning Determinantal point process sampling for bioacoustic active learning

Reference 3

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Source-reported events for the cited work

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