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Paper Citation Record · LEDGER

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2502.00690.

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

pith.paper-citation-record.v1
2502.00690 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:11:44.890648Z

measured 56 of 56 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.126215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T10:20:16.435671Z

Reference resolution

54 of 54 outbound references displayed

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  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2310a571-3319-431c-97c2-ad417d92c1d8 · outbound

This paper cites GPT-4 Technical Report.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-09T18:11:44.636505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.636505Z digest=sha256:357ab31787cb473905f5910af2ed2514aa49eba8dac4cc20b7c86899889113d9

Observation 0f9cb208-d05c-4a87-8f06-53ba29f686fb · outbound

This paper cites Scientific labor market and firm-level appropriation strategy in artificial intelligence research.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Scientific labor market and firm-level appropriation strategy in artificial intelligence research

Reference 2

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

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Observation f570ba21-8778-418c-af3c-47a014d5093c · outbound

This paper cites Group fairness in peer review.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Group fairness in peer review

Reference 3

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

source=arxiv_source observed=2026-08-09T18:11:44.647981Z digest=sha256:b47b9e02536fb042ba2c72f78681f04839b2c88ea2191f8a59d31074df35e0c9

Observation a3a6aeeb-570c-48dd-85bb-dbf89f1e2140 · outbound

This paper cites Group fairness in peer review.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Group fairness in peer review

Reference 4

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

source=arxiv_source observed=2026-08-09T18:11:44.653110Z digest=sha256:8b3a1116b5034b9dfecb7de4e29568300a1a280c851c3bf29c8d01179a4e5850

Observation a532059f-8d6e-4301-a06e-4fb7413cbb34 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.657629Z digest=sha256:503fba70259127a827adc152ebd956361033a2abd3b79a7d2b1505595e5ed432

Observation 696c7832-21dd-4d5b-8a26-d21529e61187 · outbound

This paper cites Desk rejecting: A better use of your time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Desk rejecting: A better use of your time

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.662107Z digest=sha256:2d5c7a2af73bb43e6c57c7f5a8cf1e6018947e497dafd1bafa600457d8be32d4

Observation f3f67aae-a378-48e3-9bc8-5958a2da86e5 · outbound

This paper cites The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 7

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unresolved
no resolver link, observed 2026-08-09T18:11:44.667484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.667484Z digest=sha256:0782380ee72a2b291b7b481edeed6a1901004fe2a093c66447cfb67cc0fcce42

Observation ab9c2ec4-9d47-4b8b-8d48-9c5ea1347a54 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 8

Resolution
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no resolver link, observed 2026-08-09T18:11:44.672975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.672975Z digest=sha256:7eac2c9415ff08c57cbf2bf0baf7252158741c624c995b9a11b8d574824d44dd

Observation b8874e67-5d8f-4f99-adc0-7a4e73d0871e · outbound

This paper cites The matthew effect in science funding.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The matthew effect in science funding

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.677847Z digest=sha256:fba0857178e1337a1a6834e7ed0cf07ba0aac7c1256c3b89042292c42c558cf8

Observation ed952897-f0e3-4401-a597-1b4672074aa0 · outbound

This paper cites Time to rethink the publication process in machine learning.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Time to rethink the publication process in machine learning

Reference 10

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

source=arxiv_source observed=2026-08-09T18:11:44.682443Z digest=sha256:cbe033eda7e58cc7981953ec0e818f7632df7647c699f24914ce5fc2f4cc4c15

Observation efb64384-1026-4fa2-b6fc-f719b05789eb · outbound

This paper cites The simplex method of linear programming using lu decomposition.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The simplex method of linear programming using lu decomposition

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.687027Z digest=sha256:1137ebebd6c10dc34da7168c9693e70f671c18d69c569f8abb673b2fe646a445

Observation 6a690c8d-71f1-4f7f-bede-cd7b1f87b36a · outbound

This paper cites Solving linear programs in the current matrix multiplication time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving linear programs in the current matrix multiplication time

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.691935Z digest=sha256:66c3a536af084ac999ec4d080e43bb8f3489541df2d78f7c1619481af2c72ec3

Observation 6c1324e5-1639-4dc1-82c0-f452132a1250 · outbound

This paper cites Solving linear programs in the current matrix multiplication time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving linear programs in the current matrix multiplication time

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.696415Z digest=sha256:a802a35d7d8a68493a59a01c83f01a2b94aad54b01579fdee83abd382230f412

Observation 66902554-e440-4c2f-8982-cabe3f76e4ab · outbound

This paper cites Fairness in information access systems.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Fairness in information access systems

Reference 14

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

source=arxiv_source observed=2026-08-09T18:11:44.701450Z digest=sha256:8bd6a7a740b5bbb3a0e4fad8d9a622e032b92f9c6512a5e67b7974510a16d59b

Observation 70785186-e9c8-4322-814c-bf163a481344 · outbound

This paper cites Ai-generated research paper fabrication and plagiarism in the scientific community.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Ai-generated research paper fabrication and plagiarism in the scientific community

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.705664Z digest=sha256:216c9d6972752fb02f12e86a2b6b5166ceaa178905e1de417c4dff532b630f88

Observation b9585b71-3f16-467d-a258-32ddcda23ecd · outbound

This paper cites Fairness.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Fairness

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

source=arxiv_source observed=2026-08-09T18:11:44.710443Z digest=sha256:2d40ed669b3fd2822cd562d80f44926b0949c1b16ca3e1dbbf3bd6d21d694d7d

Observation f637293c-aff8-44be-b08c-10f1ca8f21cc · outbound

This paper cites The perceived fairness of selection systems: An organizational justice perspective.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The perceived fairness of selection systems: An organizational justice perspective

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.714996Z digest=sha256:2d23f09f4c36a4a46ead949dc667f843c16d352b1d8374e5241db33af7742ea8

Observation 26277274-47d0-4a92-8a2f-5d32b2f93888 · outbound

This paper cites Computers and Intractability: A Guide to the Theory of NP-Completeness , volume 174.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Computers and Intractability: A Guide to the Theory of NP-Completeness , volume 174

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

source=arxiv_source observed=2026-08-09T18:11:44.719489Z digest=sha256:edc6d051def7e913a4fa394823ddd4cf63153934cfd172c3c84edf2d16a87813

Observation 7aae1440-dfea-48c5-9cf2-d2ae51bfc847 · outbound

This paper cites Towards long-term fairness in recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Towards long-term fairness in recommendation

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T18:11:44.724038Z digest=sha256:ae988a5dcf48d66ac4c19e9dec67827b3a7ae8350b05eb5397ed31c4b136e6c0

Observation c4926b36-d9ed-4e19-ba73-5e1f9c3901f0 · outbound

This paper cites Bias and fairness in large language models: A survey.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Bias and fairness in large language models: A survey

Reference 20

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unresolved
no resolver link, observed 2026-08-09T18:11:44.729806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.729806Z digest=sha256:c4475562a50c202eb9c34618b3a8e38186d0223fb28f517ea01dc6eb1e43fe26

Observation 4425b345-79a9-49e1-84c4-e0eeba6e3230 · outbound

This paper cites Auto-debias: Debiasing masked language models with automated biased prompts.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Auto-debias: Debiasing masked language models with automated biased prompts

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.457508Z

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=arxiv_source observed=2026-08-09T18:11:44.734766Z digest=sha256:378e700cc1f138d69a61d39f910af189507e4180932aa4cbddca601038c77dae

Observation 1419d645-4a87-4821-aac8-3be8b10a4091 · outbound

This paper cites Denoising diffusion probabilistic models.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Denoising diffusion probabilistic models

Reference 22

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unresolved
no resolver link, observed 2026-08-09T18:11:44.739425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.739425Z digest=sha256:8c3e79b62a2193bc3969d40054d26577875a238c0d0073182aa2faadf0d394e4

Observation 899d0a70-79d7-45e0-b8e8-c7eee13ecf8d · outbound

This paper cites Video diffusion models.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Video diffusion models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.744508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.744508Z digest=sha256:da98087c37cfe6a5e6ecefa5c595e965902aaf9a730b878b659ededca6579f8d

Observation 4eca16bf-bf08-4e26-b00e-6b04d5e2092f · outbound

This paper cites Deep residual learning for image recognition.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Deep residual learning for image recognition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.749241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.749241Z digest=sha256:8f959ff921e8354b1e4d97eba9cf655c49d10bef78e1f6c1ca7a9fb3382dd192

Observation acad8a08-aace-43d3-bdbd-76b24c36b382 · outbound

This paper cites Effects of editorial peer review: a systematic review.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Effects of editorial peer review: a systematic review

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.413306Z

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=arxiv_source observed=2026-08-09T18:11:44.753895Z digest=sha256:8f8530886f883cc033e969c1ad0206d6e456341c3f8b10ebe92d2aadc95467e0

Observation 3a8d0e51-35de-496b-9f83-f44c55642590 · outbound

This paper cites A faster algorithm for solving general lps.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A faster algorithm for solving general lps

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.397876Z

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=arxiv_source observed=2026-08-09T18:11:44.758391Z digest=sha256:72723440e3bb90336ff56ab1c32fd521b1519520bd158bf5544ea93862cffbaa

Observation 2b074adc-823e-46ae-aa3b-e7be2fd63379 · outbound

This paper cites Reducibility among combinatorial problems.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Reducibility among combinatorial problems

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.382047Z

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=arxiv_source observed=2026-08-09T18:11:44.763216Z digest=sha256:02fa3721f0fa469633072c888974f3b3699fa55fde2d0a923e3545476f22847d

Observation 705ccb64-c636-4870-a2d5-60bea263967c · outbound

This paper cites A conversation on artificial intelligence, chatbots, and plagiarism in higher education.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A conversation on artificial intelligence, chatbots, and plagiarism in higher education

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.367405Z

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=arxiv_source observed=2026-08-09T18:11:44.768039Z digest=sha256:a1e984265a53c966d96fa1236ac1a9c1708c69e2a752b4b93978467c7212e28d

Observation 251ae07d-70f9-488f-b381-df7949f36ad2 · outbound

This paper cites Matching papers and reviewers at large conferences.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Matching papers and reviewers at large conferences

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.350419Z

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=arxiv_source observed=2026-08-09T18:11:44.772562Z digest=sha256:234303f50a410f83bf2707352bf11262fbc73c5fc47fbd9f309e7128e0cde6ec

Observation 800df910-a7f5-42c2-921d-cc036467cfe9 · outbound

This paper cites User-oriented fairness in recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies User-oriented fairness in recommendation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.335693Z

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=arxiv_source observed=2026-08-09T18:11:44.777114Z digest=sha256:20df35607687ab86696b2bed3702123d01a7ce9d7c02110a93558fcb30ddfd54

Observation 5b2732de-2a96-41d2-add1-ff7d6b833463 · outbound

This paper cites Towards personalized fairness based on causal notion.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Towards personalized fairness based on causal notion

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.320019Z

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=arxiv_source observed=2026-08-09T18:11:44.781567Z digest=sha256:cd4d835f0e8d7ca1991a36f8be5e140af7c1b46645210ffadfebf6026f25468f

Observation 84680b7d-2021-4101-bcc1-365dda4e641b · outbound

This paper cites Duplicate submission and dual publication: what is so wrong with them?, 2013.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Duplicate submission and dual publication: what is so wrong with them?, 2013

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.303454Z

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=arxiv_source observed=2026-08-09T18:11:44.786040Z digest=sha256:eb3fb3c711d7bee22999fa4eba268c9b71520ecbcef0ac774673aa5f4e474aba

Observation 14c52bf7-5dc1-434d-be5a-e28202c1eacc · outbound

This paper cites Path finding methods for linear programming: Solving linear programs in o (vrank) iterations and faster algorithms for maximum flow.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Path finding methods for linear programming: Solving linear programs in o (vrank) iterations and faster algorithms for maximum flow

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.288289Z

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=arxiv_source observed=2026-08-09T18:11:44.791276Z digest=sha256:70057ddf89be3570cfdd754e1823e8a2306db1f875a4b9b223f23ed92debb4b9

Observation 45ee655d-efbb-4010-a1f0-70b0a860e0ec · outbound

This paper cites Linear and nonlinear programming , volume 2.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Linear and nonlinear programming , volume 2

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.272926Z

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=arxiv_source observed=2026-08-09T18:11:44.796110Z digest=sha256:0f9cf77a75fbebef4a451debe54f5ab1cef0c2e36dd93d62d17350444454a141

Observation d95b5704-c3e8-4f47-9508-f264f8592ffb · outbound

This paper cites A survey on bias and fairness in machine learning.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A survey on bias and fairness in machine learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.257651Z

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=arxiv_source observed=2026-08-09T18:11:44.800617Z digest=sha256:bd472cb783fc9d0594dec8c8d104f1d652fef02c5058cd059e6b78c412c9da4a

Observation 8f59ab15-f960-4ea2-bd3a-ea602bc17ec6 · outbound

This paper cites Investigating gender fairness of recommendation algorithms in the music domain.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Investigating gender fairness of recommendation algorithms in the music domain

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.242691Z

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=arxiv_source observed=2026-08-09T18:11:44.805217Z digest=sha256:56d46d2b3635e82e3f43bedf412abce2c79d163769d4fae6902997439fd650df

Observation 5543e008-0fc5-475b-8dae-167bf4c957bf · outbound

This paper cites Learning transferable visual models from natural language supervision.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Learning transferable visual models from natural language supervision

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.809571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.809571Z digest=sha256:7a8f55af4ee81c37736e173e76b25ad06c43f73a700bc153dbcf56ec8ed6f96b

Observation 57e4c302-2e5c-4722-8369-8e53cd7adbc8 · outbound

This paper cites Ranking mobility and impact inequality in early academic careers.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Ranking mobility and impact inequality in early academic careers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.216190Z

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=arxiv_source observed=2026-08-09T18:11:44.814031Z digest=sha256:83cd68b4b93cade6c7c02f5c5634daa3390889a9ae6613edd62b3296ecb88e99

Observation 2d3ca31f-8338-493c-a66b-d6bbd063724a · outbound

This paper cites Denoising Diffusion Implicit Models.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Denoising Diffusion Implicit Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.818544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.818544Z digest=sha256:7adbee8fbff9eafced1b9751e436017748f602630be50b467e626235fe795e44

Observation 559b2f25-0f51-454b-9b95-94c7640195ad · outbound

This paper cites Research and development - ai index, 2024.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Research and development - ai index, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.201424Z

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=arxiv_source observed=2026-08-09T18:11:44.823279Z digest=sha256:5f307f082df7e3ef3c64d2e11bf683cebba086a521b3793cb396cded20d17457

Observation fd445259-7628-4230-b84e-9922214ccfef · outbound

This paper cites Plagiarism, duplicate publication, and duplicate submission: They are all wrong! IEEE Antennas and Propagation Magazine , 45(4):47--49, 2003.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Plagiarism, duplicate publication, and duplicate submission: They are all wrong! IEEE Antennas and Propagation Magazine , 45(4):47--49, 2003

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.186515Z

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=arxiv_source observed=2026-08-09T18:11:44.827963Z digest=sha256:33260183ecee39726fdafeec607d38e973f096055ae7752f7ce6a717fa876094

Observation caa4a513-20ec-4e5c-8237-abac678326c0 · outbound

This paper cites Oblivious sketching-based central path method for linear programming.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Oblivious sketching-based central path method for linear programming

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.170276Z

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=arxiv_source observed=2026-08-09T18:11:44.832299Z digest=sha256:fcc95a9ab8b690c8de688bdea54cea27e9c86528899d3108802d769dab9d00d0

Observation 1dc535cc-71be-4396-b12a-4a2d500e0c72 · outbound

This paper cites Chatgpt: Optimizing language models for dialogue.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Chatgpt: Optimizing language models for dialogue

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.155173Z

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=arxiv_source observed=2026-08-09T18:11:44.836871Z digest=sha256:bb36d26e500c133066777d0b6b4e2cbb3c5ed919dd629486c943efda01cb7f61

Observation a4a11769-008d-4728-8848-5411c147472f · outbound

This paper cites Establishing sensible and practical guidelines for desk rejections.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Establishing sensible and practical guidelines for desk rejections

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.139588Z

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=arxiv_source observed=2026-08-09T18:11:44.842162Z digest=sha256:3319b0af72b54347a5155d43b978b2a20dac08e6502400512bdbb605728bf1dc

Observation 62e88778-1d5f-4f31-9f45-8b6f08417775 · outbound

This paper cites The state of the art in peer review.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The state of the art in peer review

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.124035Z

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=arxiv_source observed=2026-08-09T18:11:44.847203Z digest=sha256:f572805b668c3cb4c512bd9a7056e645ff2915802f4149b2ae0d91c260a19ac2

Observation f07b00f9-1f83-4192-a6e9-e9cc5e1181d8 · outbound

This paper cites Solving tall dense linear programs in nearly linear time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving tall dense linear programs in nearly linear time

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.108589Z

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=arxiv_source observed=2026-08-09T18:11:44.851884Z digest=sha256:e7b0a7f4cf4094ca80694d429621242fc4e733502fcd12ce43cdf9d0a1d2b4ca

Observation 674c2b68-1d26-4b5a-8995-6d66462bafbd · outbound

This paper cites Attention is all you need.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Attention is all you need

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.856404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.856404Z digest=sha256:79735f5d2a3d7d29adcbdb029ce9952f8715c301b708897dfeade3bf72220612

Observation f2a4cf96-039c-41a9-89c1-b42dfd5f68a3 · outbound

This paper cites Dolfin: Diffusion Layout Transformers without Autoencoder.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:44.860888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.860888Z digest=sha256:4639295094b076b28d29b605a561bd107d50625881dcd8d3e44def5b6c1fd144

Observation 2585f861-a654-4d3d-8f73-6a8bc31b9a47 · outbound

This paper cites Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.083303Z

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=arxiv_source observed=2026-08-09T18:11:44.866311Z digest=sha256:865eb0143843ed799689eabf2c565e045108bd27dff1f40bcbe5a566af966a80

Observation 2f927fd4-1fd5-4102-baea-8339cf0b6bcf · outbound

This paper cites Early-career setback and future career impact.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Early-career setback and future career impact

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.066060Z

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=arxiv_source observed=2026-08-09T18:11:44.871636Z digest=sha256:d5e4775ba957ba1a85ffc3a20ea83b01091661298e1f2f826f94c8f6bc9d6d0a

Observation 9b12c2ac-1e83-4927-b3e8-096ced140df9 · outbound

This paper cites Joint multisided exposure fairness for recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Joint multisided exposure fairness for recommendation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.050473Z

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=arxiv_source observed=2026-08-09T18:11:44.876123Z digest=sha256:da322040ada80f1786574e1adc93aaed5b79a219211246279fd0c4754c3af0cd

Observation fd160c19-59e7-425d-a0e2-776a4635c35e · outbound

This paper cites Tokencompose: Text-to-image diffusion with token-level supervision.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Tokencompose: Text-to-image diffusion with token-level supervision

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.034097Z

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=arxiv_source observed=2026-08-09T18:11:44.880681Z digest=sha256:7661f2c324a1f5a9878a2f107ad49e641be397acd390ac93b350ee70f467405a

Observation 3814998a-dc1b-4a6e-9541-0f5b1c3ed120 · outbound

This paper cites Omnicontrolnet: Dual-stage integration for conditional image generation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Omnicontrolnet: Dual-stage integration for conditional image generation

Reference 53

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unresolved
no resolver link, observed 2026-08-09T18:11:44.885064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:11:44.885064Z digest=sha256:e65c32efb47c98b362eab3053a9f6a9807bf4bcf0a911f5b0157280b912ba203

Observation 5e73b0b9-b31c-4a2d-99f8-f37f11ce4439 · outbound

This paper cites Causal intervention for leveraging popularity bias in recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Causal intervention for leveraging popularity bias in recommendation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:45.008585Z

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=arxiv_source observed=2026-08-09T18:11:44.890648Z digest=sha256:0c163a72f7ed50238e0192d762c8838a7b6dc2af1e62597492f0dad50d186c26

Pith citing papers

Observation 92b3210b-cac9-4e6d-9844-9e637ef80506 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Reference 9

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unresolved
no resolver link, observed 2026-08-08T16:39:14.126215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.126215Z digest=sha256:aafa2d9857e4f0ff5882a9fb486fedf413cf98a183c9b00f1769c5b58ad920da

Observation 4e4db1fb-01c6-4c2b-86a7-7df0cc3a0690 · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-08T10:20:16.439958Z

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=arxiv_source observed=2026-08-08T10:20:15.274186Z digest=sha256:12ba65dcc7d8253d8fe9e51585cdbfd3079fa17c85597ab5f3a916dd109c8c1d