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Paper Citation Record · LEDGER

Data-dependent Evaluations for Budgeted Submodular Maximization

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.05759.

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

pith.paper-citation-record.v1
2607.05759 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T19:59:51.397294Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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  • verified fuzzy23
  • unresolved1
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5700bbea-45cf-40fc-8144-c608f3bda5ff · outbound

This paper cites Information-theoretic feature selection via tensor decomposition and submodularity.IEEE Transactions on Signal Processing, 69:6195– 6205, 2021.

Data-dependent Evaluations for Budgeted Submodular Maximization Information-theoretic feature selection via tensor decomposition and submodularity.IEEE Transactions on Signal Processing, 69:6195– 6205, 2021

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 38f33cef-204b-4a23-baa1-034c07180a84 · outbound

This paper cites Fast algorithms for maximizing submodular functions.

Data-dependent Evaluations for Budgeted Submodular Maximization Fast algorithms for maximizing submodular functions

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.566277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 20cd3276-21db-43e6-9aee-718bd524e944 · outbound

This paper cites Instance specific approximations for submodular maximization.

Data-dependent Evaluations for Budgeted Submodular Maximization Instance specific approximations for submodular maximization

Reference 3

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raw_fallback, observed 2026-07-08T20:05:34.564674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0c319ba1-e050-44a0-9e6f-055417cf7196 · outbound

This paper cites Submodular feature selection for partial label learning.

Data-dependent Evaluations for Budgeted Submodular Maximization Submodular feature selection for partial label learning

Reference 4

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raw_fallback, observed 2026-07-08T20:05:34.570126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:497d65a9b31347a39342ca95379dbd68ce1cd5d3d0920d4490b29b951e7a6d12

Observation 5d239598-7762-481f-8f0d-f5881bdd199b · outbound

This paper cites Becker, R.

Data-dependent Evaluations for Budgeted Submodular Maximization Becker, R

Reference 5

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verified exact
doi, observed 2026-07-08T20:05:33.882104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9f9f5003-9100-471f-8b50-b4de2657b862 · outbound

This paper cites The fast algorithm for submodular maximization.

Data-dependent Evaluations for Budgeted Submodular Maximization The fast algorithm for submodular maximization

Reference 6

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.568339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e8bbcade-847b-4673-85e5-e91b49c09ef8 · outbound

This paper cites A Primal-Dual Analysis of Monotone Submodular Maximization.

Data-dependent Evaluations for Budgeted Submodular Maximization A Primal-Dual Analysis of Monotone Submodular Maximization

Reference 7

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verified exact
local_arxiv, observed 2026-07-08T20:05:34.133897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:752fff59a67774dc7ff4b188e7e6ca582b666164e112d1ac3ca6751d016fec9c

Observation 4a49962d-585f-49d0-b74e-d52227bd68d0 · outbound

This paper cites Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection.

Data-dependent Evaluations for Budgeted Submodular Maximization Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection

Reference 8

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local_arxiv, observed 2026-07-08T20:05:34.131503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:b45ce31a72279c5553946a52497b1bc35412f55091db67de737df886997e6d99

Observation da0d7cb5-d788-4c4a-a7a6-903729c8daed · outbound

This paper cites Revenue submodularity.

Data-dependent Evaluations for Budgeted Submodular Maximization Revenue submodularity

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.554379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:dc46fe5172c170bc0680ccd70c049110fe49c76b06c827dd6def3b36af2d3e41

Observation 61ef6116-a338-4909-91c3-2d2f8e0606f1 · outbound

This paper cites A threshold of ln n for approximating set cover.Journal of the ACM, 45(4):634–652, 1998.

Data-dependent Evaluations for Budgeted Submodular Maximization A threshold of ln n for approximating set cover.Journal of the ACM, 45(4):634–652, 1998

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f6522a44-1105-417b-8fe0-64334e7c4289 · outbound

This paper cites Practical budgeted submodular maximization.

Data-dependent Evaluations for Budgeted Submodular Maximization Practical budgeted submodular maximization

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.551076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a56c3d25-bc54-4a09-a3c0-b1945c139e64 · outbound

This paper cites Budgeted nonparametric learning from data streams.

Data-dependent Evaluations for Budgeted Submodular Maximization Budgeted nonparametric learning from data streams

Reference 12

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.552789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:265b4907d28dbfc16881a28ca451c47183f45566709151bc70894b4c801042ee

Observation d386d246-6ba5-4aa7-b816-da7b2af10b59 · outbound

This paper cites Scalable deletion-robust submodular maximization: Data summarization with privacy and fairness constraints.

Data-dependent Evaluations for Budgeted Submodular Maximization Scalable deletion-robust submodular maximization: Data summarization with privacy and fairness constraints

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 71798e85-52f2-4886-87dc-882e036ea630 · outbound

This paper cites Maximizing the spread of influence through a social network.

Data-dependent Evaluations for Budgeted Submodular Maximization Maximizing the spread of influence through a social network

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:568bda254a49c87521900f68ac61e2f1e537d656ee838dc547301936a671cceb

Observation 40b788c4-5e02-433d-80b0-52a326bc9b68 · outbound

This paper cites The budgeted maximum cov- erage problem.Information Processing Letters, 70(1):39–45, 1999.

Data-dependent Evaluations for Budgeted Submodular Maximization The budgeted maximum cov- erage problem.Information Processing Letters, 70(1):39–45, 1999

Reference 15

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verified exact
doi, observed 2026-07-08T20:05:33.880384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:5792ae0d33d4285a3e9f9c554e5da13ba3a841a15b8571b4ad794383eb010ab0

Observation 9a1b2633-dfa8-4414-95ce-b03dd1784438 · outbound

This paper cites Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies.Journal of Machine Learning Research, 9(2).

Data-dependent Evaluations for Budgeted Submodular Maximization Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies.Journal of Machine Learning Research, 9(2)

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:4c8e64abfa294a48e54d4ab12060694c23357a2560117cd24e6f11797cc97256

Observation 3780b9b8-19ba-4280-820b-2b8a7e5ccd5b · outbound

This paper cites A refined analysis of submodular greedy.Opera- tions Research Letters, 49(4):507–514, 2021.

Data-dependent Evaluations for Budgeted Submodular Maximization A refined analysis of submodular greedy.Opera- tions Research Letters, 49(4):507–514, 2021

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:ce8ecdd381cfdee210214739061b9b62ada2eea2026ebc9a3f967d721737b603

Observation a7c314f8-2171-4755-bdd1-49ca9cc7c414 · outbound

This paper cites Cost-effective outbreak detection in networks.

Data-dependent Evaluations for Budgeted Submodular Maximization Cost-effective outbreak detection in networks

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 133da4a4-5c1c-4d3f-ba31-76d1325b67d7 · outbound

This paper cites SNAP Datasets: Stanford large network dataset collection.

Data-dependent Evaluations for Budgeted Submodular Maximization SNAP Datasets: Stanford large network dataset collection

Reference 19

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.545449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:8f77dbd40b055410ed511b9e1be2b66f735ddbb6699d63cdc272b57ae39871b6

Observation 923f72f2-2c22-44c7-8566-74578f2c239f · outbound

This paper cites Multi-document summarization via budgeted maximization of submodular functions.

Data-dependent Evaluations for Budgeted Submodular Maximization Multi-document summarization via budgeted maximization of submodular functions

Reference 20

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.549208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:7bc24eef6b85bcd074344bc9894b5feac21126fb2a7635a0dd5d1c0cbd3f883b

Observation 36670962-46aa-4b23-b277-1653c9ca88d1 · outbound

This paper cites Leveraging sparsity for efficient submod- ular data summarization.Advances in Neural Information Processing Systems, 29, 2016.

Data-dependent Evaluations for Budgeted Submodular Maximization Leveraging sparsity for efficient submod- ular data summarization.Advances in Neural Information Processing Systems, 29, 2016

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 239b4509-0484-4476-a088-af910ce3fa91 · outbound

This paper cites Nemhauser and Laurence A.

Data-dependent Evaluations for Budgeted Submodular Maximization Nemhauser and Laurence A

Reference 22

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raw_fallback, observed 2026-07-08T20:05:34.540428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 36e88f75-3e83-40ba-bf61-ddc1debaaa08 · outbound

This paper cites Rossi and Nesreen K.

Data-dependent Evaluations for Budgeted Submodular Maximization Rossi and Nesreen K

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.537428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e509a246-0f22-4686-abc9-1b2b3cf40044 · outbound

This paper cites A note on maximizing a submodular set function subject to a knapsack constraint.

Data-dependent Evaluations for Budgeted Submodular Maximization A note on maximizing a submodular set function subject to a knapsack constraint

Reference 24

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.563070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:311eac7362e59c2392861c8bb0d7c811ad9f8507509e58f79bec04f626992c92

Observation 3441ff5a-aa5c-4f70-9efb-6af69a3f6984 · outbound

This paper cites Revisiting modified greedy algorithm for monotone submodular maximization with a knapsack constraint.

Data-dependent Evaluations for Budgeted Submodular Maximization Revisiting modified greedy algorithm for monotone submodular maximization with a knapsack constraint

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.534259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a8461083-0b7b-4b03-a7ca-5f4f765db645 · outbound

This paper cites Online processing algorithms for influence maximization.

Data-dependent Evaluations for Budgeted Submodular Maximization Online processing algorithms for influence maximization

Reference 26

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.535915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation eb92d447-5121-4407-85bd-a37d3a50c742 · outbound

This paper cites an unresolved cited work.

Data-dependent Evaluations for Budgeted Submodular Maximization Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-07-08T20:05:34.538895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1a1058e6-ae06-4da2-b9ff-1fad40cfcfb3 · outbound

This paper cites bring your own greedy.

Data-dependent Evaluations for Budgeted Submodular Maximization bring your own greedy

Reference 28

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verified fuzzy
raw_fallback, observed 2026-07-08T20:05:34.532607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-08T19:59:51.397294Z digest=sha256:483b4f47927bd28feaac575f8542a56ecd7861986d1f7adf4e67c828f9f66d8a

Observation a6c90247-a09b-4a05-ac67-96460c68c712 · outbound

This paper cites Smoothed dilated convolutions for improved dense prediction.

Data-dependent Evaluations for Budgeted Submodular Maximization Smoothed dilated convolutions for improved dense prediction

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-08T20:05:33.878461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.