Pith. sign in

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 2026-08-15T06:32:42.880941+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

  • verified exact5
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

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

Resolution
unresolved
raw_fallback, observed 2026-07-08T17:45:12.584834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:0297ea74629a9aece47a837c75b528239938b306d338bbadbc106f170e5fad80

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

Resolution
unresolved
raw_fallback, observed 2026-07-08T17:45:12.576853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:cef080536d773c324e249db90507f80688c24c871236d8de957c34fdc6e48f5c

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

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T17:45:12.532982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:306aca5689a1bb2a7c09f32451b2dea8b53c640ef357ae1803813c4283ecc35f

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

Resolution
verified exact
arxiv_id, observed 2026-07-08T17:45:12.535806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:61a38b1012e10b9509e6e846520bd789be7527c199adf47498f7f6e2733f0416

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.597679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:4973b819e90302412b99896206771bbe1b09ee14310c0a4804ce6613bd5d2c1f

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
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.581258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:0232cd77bc9654ccad5d223211df1a769874e4fd1f866c926f3abc09e760caab

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

This paper cites an unresolved cited work.

Determinantal point process sampling for bioacoustic active learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-07-08T17:45:12.592081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:39b3e229f4b1487c503d62989d99fd3bb16b1af66957cf8023043270a0e9a39c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.595752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:edbc1caf0efe7464f0df28fbee8363bd26dbd6fa89b58a539a30228b9504046b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.588597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:10051405153d052fe60d086ddb6fe89e7c63842bb1cdeca44283fbf43b8d1d12

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.590324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:954370d41994c1c54c97b515f60e436b5a1651ce9820039eca719a3fe8c4ed6f

Observation 23acfa44-116a-4167-80fd-54e56c97a4b5 · outbound

This paper cites BaseAL: Active learning baseline,.

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

Reference 11

Resolution
malformed identifier
raw_fallback, observed 2026-07-08T17:45:12.593990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:c213a450be4a3cea0a9e0018aee1eada8e62ebb36222926dca0fa5e70d523a9f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.586802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:c3c61b2c20784ce455b6d597cbd67aedd54797071af22b2ae56bb62245c7ef7f

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
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.575034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:92f378948ffa743e7204bd508c238b8f25736d80ae9c527b0cec0efd3d8f2f6d

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
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.578800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:69becd17308e4541b5a1acbee4c27445f1e55de9da5c37f2a797296f3add20be

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

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:8766134a30a56242d429a6d0ecad551fafbdc562f1eae4a1322b9583db602ea7

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
verified exact
arxiv_id, observed 2026-07-08T17:45:12.538429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:5babd0c4fd143e18f040364d644b545edbb616cf40d6a68e0b5df81da82205db

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
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.583205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:22bbce64f32b26ea2f38758da8ecac27a0f05a072ef545796b659e4c2603afc7

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

Resolution
verified exact
doi, observed 2026-07-08T17:45:12.404850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:271753d7fc02c04d21118d13deff94d4067ab792b658504c4654133185ea9866

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

Resolution
verified exact
doi, observed 2026-07-08T17:45:12.408035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:cbd15094465ea7e83ae3d5c9ab41cf77d76b47065a403712ba149f7678a03674

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T17:45:12.573178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:4516729a213abb18bbdb400f10966d06864340c27c6a0888d673c80118774878

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

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T17:45:12.532982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:306aca5689a1bb2a7c09f32451b2dea8b53c640ef357ae1803813c4283ecc35f