Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T10:01:25.189942Z
Paper Citation Record · LEDGER
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2604.03419.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact2
- verified fuzzy22
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 315c101c-aaf9-4190-bc74-ca0f5613dc5b · outbound
This paper cites Submodular function maximization.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Submodular function maximization
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.986234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8c1585fb-1330-45a2-9de5-de51c7c9c7ca · outbound
This paper cites An analysis of ap- proximations for maximizing submodular set functions—i.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization An analysis of ap- proximations for maximizing submodular set functions—i
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.988160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3fd3f0c2-1dbf-43d7-a7ee-36e81a9eba96 · outbound
This paper cites Maximizing a monotone submodular function subject to a matroid constraint.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Maximizing a monotone submodular function subject to a matroid constraint
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.982398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c46a678e-0116-4d00-9fc9-842c38ed3ded · outbound
This paper cites Learning with Submodular Functions: A Convex Optimization Perspective.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Learning with Submodular Functions: A Convex Optimization Perspective
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T10:04:06.450284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d02598ae-90f9-4426-9dc8-10041bb6c140 · outbound
This paper cites Federated learning using variance reduced stochastic gradient for probabilistically activated agents.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Federated learning using variance reduced stochastic gradient for probabilistically activated agents
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:07.006412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 644658a2-721b-4b32-8923-1f8986627a65 · outbound
This paper cites FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T10:04:06.447536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cdf5a71a-34d8-4a9f-b522-b8905d7a9140 · outbound
This paper cites Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.980102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5f901730-2f28-4ea2-b055-2ec8c481e3fe · outbound
This paper cites A class of submodular functions for document summarization.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization A class of submodular functions for document summarization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.984281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4c5436ad-5b12-4449-8089-3673f1ef0b26 · outbound
This paper cites Maximizing the spread of influence through a social network.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Maximizing the spread of influence through a social network
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.990328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fb153f7-d2b9-4585-94bc-f7179c0f913c · outbound
This paper cites Adaptive submodularity: Theory and applica- tions in active learning and stochastic optimization.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Adaptive submodularity: Theory and applica- tions in active learning and stochastic optimization
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.992540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec355eed-2ebf-4b27-9195-6a6858b4103d · outbound
This paper cites An analysis of approx- imations for maximizing submodular set functions—ii.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization An analysis of approx- imations for maximizing submodular set functions—ii
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.996765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 355acbbf-f41c-41a3-a814-e17b48814cb9 · outbound
This paper cites Decentralized submodular maximization: Bridging discrete and continuous settings.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Decentralized submodular maximization: Bridging discrete and continuous settings
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.978192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 433a23ab-ec37-45e4-805c-264fc6598604 · outbound
This paper cites Distributed strategy selection: A submodu- lar set function maximization approach.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Distributed strategy selection: A submodu- lar set function maximization approach
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.994453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 43620349-e38c-4382-a4ad-17a0e99f054f · outbound
This paper cites A convergent iterative hard thresholding for nonnegative sparsity optimization.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization A convergent iterative hard thresholding for nonnegative sparsity optimization
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.998747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7c7f6001-a03d-4b8a-9125-61e71383712f · outbound
This paper cites Gradient hard thresholding pursuit for sparsity-constrained optimization.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Gradient hard thresholding pursuit for sparsity-constrained optimization
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.967759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4b23ca51-0e5f-4619-a032-b16a226281db · outbound
This paper cites Hard thresholding pursuit: an algorithm for compressive sensing.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Hard thresholding pursuit: an algorithm for compressive sensing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.972055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 281f780d-b89d-4814-9c51-4dbf773cdeba · outbound
This paper cites Between hard and soft thresholding: optimal iterative thresholding algorithms.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Between hard and soft thresholding: optimal iterative thresholding algorithms
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.974319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6d90300-60f6-44f4-965c-8d6e124ba2db · outbound
This paper cites Accelerated greedy algorithms for maximizing submodular set functions.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Accelerated greedy algorithms for maximizing submodular set functions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.969941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2ee7522b-e204-446c-b255-062da0c411c1 · outbound
This paper cites Lazier than lazy greedy.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Lazier than lazy greedy
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.976160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ddbb6611-b00b-4e2c-b80d-a6ecd19b2d78 · outbound
This paper cites Distributed submodular maximization: Identifying representative elements in massive data.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Distributed submodular maximization: Identifying representative elements in massive data
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:06.965048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6c39a98-56fc-4857-86ca-efa5e297464c · outbound
This paper cites Fast greedy algorithms in mapreduce and streaming.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Fast greedy algorithms in mapreduce and streaming
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:07.000621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7077be79-2861-4b4c-89b9-e6333ad97d1b · outbound
This paper cites Communication-efficient learning of deep networks from decentralized data.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Communication-efficient learning of deep networks from decentralized data
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:07.004502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6a3a2ff4-5c0e-4f22-bb99-e43455f4e618 · outbound
This paper cites Submodular set functions, matroids and the greedy algorithm: tight worst-case bounds and some generalizations of the Rado-Edmonds theorem.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Submodular set functions, matroids and the greedy algorithm: tight worst-case bounds and some generalizations of the Rado-Edmonds theorem
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:07.002588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a30176f-d192-4c9a-9d1e-c6efcb29e462 · outbound
This paper cites Submodularity and curvature: the optimal algorithm.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Submodularity and curvature: the optimal algorithm
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T10:04:07.009777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 71bf68d5-3559-4699-abe6-b15154c251d5 · outbound
This paper cites an unresolved cited work.
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T10:04:07.008075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.