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Paper Citation Record · LEDGER

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding

As of 24 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.08816.

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

pith.paper-citation-record.v1
2412.08816 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:36:49.853327Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:22:42.531110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:25:28.672513Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact14
  • verified fuzzy15
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8886cf7f-76b0-4ac1-b032-692aa430bd32 · outbound

This paper cites Predicting vascular age using PPG signals and machine learning algorithms: A non-invasive approach for early cardiovascular risk detection.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Predicting vascular age using PPG signals and machine learning algorithms: A non-invasive approach for early cardiovascular risk detection

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 19ef6878-1235-4890-bdad-e22c2255a52f · outbound

This paper cites Feature representations for neuromorphic audio spike streams.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Feature representations for neuromorphic audio spike streams

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f83119c-f100-4585-a19b-1357b891559c · outbound

This paper cites Neural correlations, population coding and computation.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Neural correlations, population coding and computation

Reference 3

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no resolver link, observed 2026-08-11T17:36:49.706880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 271b8457-d54b-47c6-a41b-90071ac12c3c · outbound

This paper cites Tactile intensity and population codes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Tactile intensity and population codes

Reference 4

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 97212f95-ceba-47f4-8067-f684ff9cd1bf · outbound

This paper cites LIBSVM: A library for support vector machines.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding LIBSVM: A library for support vector machines

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4006efa2-e215-4414-8955-39a866bced1a · outbound

This paper cites an unresolved cited work.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

Reference 6

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8438ee2e-1148-4ad0-8788-7d78eb45ffbf · outbound

This paper cites Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes

Reference 7

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b285a831-9faa-4ac9-adf6-8be5af04a578 · outbound

This paper cites an unresolved cited work.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:36:49.727784Z digest=sha256:72be2a767fabbd79aba03ecdb612bc2feac6d244f4899f4ca588c3e0dc4c633a

Observation 5ca99c7d-9759-4aa8-af49-b7904e131154 · outbound

This paper cites Efficiency metrics for auditory neuro­ morphic spike encoding techniques using information theory.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Efficiency metrics for auditory neuro­ morphic spike encoding techniques using information theory

Reference 9

Resolution
verified exact
doi, observed 2026-08-11T17:36:50.011881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7770dbfa-6ded-4fd7-819e-78f8708a7b64 · outbound

This paper cites Optimizing neuromorphic spike encoding of dynamic stimulus signals using information theory.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Optimizing neuromorphic spike encoding of dynamic stimulus signals using information theory

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation db7edbd6-7e0e-4d98-a9ca-26f6c08071e4 · outbound

This paper cites Neuronal dynamics.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Neuronal dynamics

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0da6fe9e-3778-425d-814c-c2fde2b10380 · outbound

This paper cites Bits and pieces: understanding information decomposition from part-whole relationships and formal logic.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Bits and pieces: understanding information decomposition from part-whole relationships and formal logic

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 919cbd01-7757-4dae-9057-28942102c678 · outbound

This paper cites Basic response properties of auditory nerve fibers: a review.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Basic response properties of auditory nerve fibers: a review

Reference 13

Resolution
verified exact
doi, observed 2026-08-11T17:36:49.998619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 43211561-579c-4cce-8130-d7d3e17b0dc1 · outbound

This paper cites Information-theoretic methods for studying population codes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Information-theoretic methods for studying population codes

Reference 14

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verified exact
doi, observed 2026-08-11T17:36:49.986288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 85370f79-cf70-4a00-9e64-fe619e35c60c · outbound

This paper cites Synergy, redundancy, and independence in population codes, revisited.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Synergy, redundancy, and independence in population codes, revisited

Reference 15

Resolution
verified exact
doi, observed 2026-08-11T17:36:49.974205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 482351ec-87b3-4a74-b89f-9c2b415aedb0 · outbound

This paper cites Recent progress in multi-electrode spike sorting methods.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Recent progress in multi-electrode spike sorting methods

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4384cf0a-f20a-4dd3-8901-e66f96cdf95e · outbound

This paper cites Asynchronous binaural spatial audition sensor with 2x64x4 channel output.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Asynchronous binaural spatial audition sensor with 2x64x4 channel output

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4427effb-4df3-4d7c-83c8-96a2b3889e95 · outbound

This paper cites Exploration of rank order coding with spiking neural networks for speech recognition.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Exploration of rank order coding with spiking neural networks for speech recognition

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2b19cbf-2acb-4f2d-8f1e-dcad7e44330c · outbound

This paper cites Send-On-Delta concept: An event-based data reporting strategy.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Send-On-Delta concept: An event-based data reporting strategy

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f0e4970e-b91c-4877-a1d6-b88fda45c1e6 · outbound

This paper cites Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition

Reference 20

Resolution
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raw_fallback, observed 2026-08-11T17:36:51.093620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a21c539-b3c6-45c2-9678-63171b3bb5ec · outbound

This paper cites Predictive information in a sensory population.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Predictive information in a sensory population

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d679d0bb-4534-48d5-8776-27d3cba6eb0b · outbound

This paper cites Neural population coding for effective temporal classification.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Neural population coding for effective temporal classification

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 09a6c7ee-5fce-4e3a-9108-05a1a700b695 · outbound

This paper cites Correcting for the sampling bias problem in spike train information measures.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Correcting for the sampling bias problem in spike train information measures

Reference 23

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 11076afb-8411-483e-a96e-9e3e75532474 · outbound

This paper cites The structures and functions of correlations in neural population codes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding The structures and functions of correlations in neural population codes

Reference 24

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no resolver link, observed 2026-08-11T17:36:49.805466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:36:49.805466Z digest=sha256:80a0315f2028473a6e0974eff939ecd11c5675041b55d4bc7feaf863c2b97ff0

Observation 67fba85b-9774-4491-bb2a-e5b358082fa1 · outbound

This paper cites Scikit-learn: Machine learning in Python.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Scikit-learn: Machine learning in Python

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T17:36:51.043967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2117fef9-2d50-49f7-961e-0b3e3bee3487 · outbound

This paper cites How many neurons can we see with current spike sorting algorithms?.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding How many neurons can we see with current spike sorting algorithms?

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:36:51.030591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb101d81-2332-483f-b604-9a6ed2dc1fbe · outbound

This paper cites Inference and computation with population codes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Inference and computation with population codes

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:36:51.017739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:36:49.816900Z digest=sha256:458a42a9fc0361fbfb4a522844f7e7d256d760cd15f623a40bc2f1cbafd3a7a6

Observation 9fd1b826-8700-4399-bbd0-e96135bf7258 · outbound

This paper cites Past, present and future of spike sorting techniques.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Past, present and future of spike sorting techniques

Reference 28

Resolution
verified exact
doi, observed 2026-08-11T17:36:49.925932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b50728a7-c4b5-4d63-839f-3f676a207c01 · outbound

This paper cites Mutual information between discrete and continuous data sets.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Mutual information between discrete and continuous data sets

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T17:36:49.828294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:36:49.828294Z digest=sha256:a0ddf3100c8584df9b3c92b351de98c16ba3f769cab52ddce66cdf7538a29b75

Observation 322cedd0-8fd7-4d40-a1cc-1c9b47989fb9 · outbound

This paper cites Synergy, redundancy, and independence in population codes.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Synergy, redundancy, and independence in population codes

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-11T17:36:50.114957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:36:49.832373Z digest=sha256:23d865dae930c9a686c01a911ed52f418fad068b5124db5c7054d3b46aaa5b9a

Observation 80d7f103-1035-43ba-a984-7f58af724cb6 · outbound

This paper cites BSA, a fast and accurate spike train encoding scheme.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding BSA, a fast and accurate spike train encoding scheme

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-11T17:36:51.006248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:36:49.836237Z digest=sha256:ab569b96078d4638c48b2f8da5a9fc013bc7e4e7f6f97fdcc7aba06aa2b86bea

Observation 224be5e9-5ff9-49d1-826e-826378831cf3 · outbound

This paper cites Entropy and information in neural spike trains.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Entropy and information in neural spike trains

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:36:50.993388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:36:49.840168Z digest=sha256:5e12572aa2a272efa99b93138f8880d4ec0114e3e3f43e485cc3b6ce6f0f6733

Observation ae48c8aa-0667-4129-9a3e-d98bcf27f367 · outbound

This paper cites The Intel neuromorphic DNS challenge.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding The Intel neuromorphic DNS challenge

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T17:36:49.847427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:36:49.847427Z digest=sha256:a20935554ed6387ce478036b9596d62e9c4238c0495d0625fe5b157fd184012b

Observation 8f3fe6cb-1888-4c69-8204-fc9cf95d3c8f · outbound

This paper cites The upward bias in measures of information derived from limited data samples.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding The upward bias in measures of information derived from limited data samples

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:36:50.982116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:36:49.850494Z digest=sha256:aa188337bf14c17f41daa99f8e0dcc6403406c9e5c1f119f90565986d91bbfe4

Observation bce3a564-0a62-41c2-ae33-0e7efa6031db · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Nonnegative Decomposition of Multivariate Information

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T17:36:49.853327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

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Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

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Reference 410

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Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

Reference 2014

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Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

Reference 2019

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Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding Unresolved cited work

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Spatio-Temporal Cluster-Triggered Encoding for Spiking Neural Networks Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding

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