Pith. sign in

Paper Citation Record · LEDGER

Determinantal point process sampling for bioacoustic active learning

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:062a62e0ca751ceb0f054ec11a82d52e4e281e1e8d0da4575b832390f5b78a3d

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:f8427568d1220b0a60888711239fa79ef5ce6adc4b372e93a3334aa3d2467d36

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:c74f09fbf3c255d8fb76f9ca5b4165160f3b1fecb50e93160c5227835862c124

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:52e4b91b792aaae7c35579ceb84b2d14b00a2053922cf6851f0b01bb4649993d

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:35e2d2f1b19f6a608b7a92a5cf4ef87cba7ce6b1525d393d1f8747bf2616b029

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:99d90b2c2d963eb8b710564b9bf6d0e9861bc12ad9e15204565f8e933127b04c

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:bbcbd972f5fd424c6631f46ec76c7aca256b0e5f6de38f055a13d7938311bec6

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:a7a53327f4debbe6bea080d084016652e13b459c1ea7e364f355726aa976ab65

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:aece02533210492d6705ac1389afea2aa6748d9d791848fb5a6bc8b7879b523c

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:3034f1f6a68cd1d550bfbe54e53e21e6f7451e1c23fbd5dac037d69aff60b95d

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:11cbeb6470218e5584a6ba3969fa8547cf7c864aa7ed32456924b441f3a4ec2c

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:c289f40c83159864aeb25927e02e566471f5b1c9439f6990360cc8d2e2bfaa33

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:bfa20932fb840dab98bb3448e7d83b10928402b3f71343ed3f04488dcf8c21b4

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:90dbe88c3d586500ef3ad475daa1c990d27cae7eee2d267b63235c5f308167e3

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

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

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:396051c7d1d8a23b501f232c061adb31103b9fbbcdfc6f6c220077d275674829

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:1468b6deae8214be5fb4d34864b2f938ee9b72d1ae58a1a274bfb114a871fd73

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:3e4093cb1142ff0778a91620ace95d73b82503dd3e610ff2dfe68a0909c150f4

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:bb510cb4ef80241be8367c25de3feb3eaca842f07dd197238c97d5657e84982a

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:a472aef377016846f96c2f13c073519c5128e694779b38a7e1b7ea14d9af839f

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

source=pdf_text observed=2026-07-08T17:42:52.252216Z digest=sha256:c74f09fbf3c255d8fb76f9ca5b4165160f3b1fecb50e93160c5227835862c124