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Paper Citation Record · LEDGER

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2412.06606.

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

pith.paper-citation-record.v1
2412.06606 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:33:59.165930Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:59:54.362231Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:59:54.780520Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact3
  • verified fuzzy23
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bd35b95-3052-4a5f-ab86-efe6bc7e1b23 · outbound

This paper cites The sigmod 2019 research track reviewing system.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions The sigmod 2019 research track reviewing system

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.773580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.000026Z digest=sha256:eafce3747a2b2252c86c27dfcde78bd2ed59f13f41fbcb699765c1efdb172757

Observation f21f1eb1-ea9a-4e3e-ad27-91040c5a0df9 · outbound

This paper cites Combating collusion rings is hard but possible.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Combating collusion rings is hard but possible

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.759410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.005301Z digest=sha256:48f9d91bc34764ec70b6c134806728332f575427769104587e707d8e5373fc31

Observation 83db180e-9228-4067-9414-95b095a87a91 · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Controlling the false discovery rate: a practical and powerful approach to multiple testing

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.009997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.009997Z digest=sha256:1a93186ded55408345a36f3c59a3243a4afc0d4425af5ceac6b0f1ab92140883

Observation 59eefa01-9b79-49f3-8502-61bc74f89d33 · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.014807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.014807Z digest=sha256:41444f322c64a86c0d804fdc5b2a9ac4ec4017bb1314d708fa8c20f839adb17b

Observation 0ae1650f-c836-4656-b40f-0fd14a647f21 · outbound

This paper cites Charlin and R.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Charlin and R

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.736134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.021166Z digest=sha256:cc870614642052c15d39683abb045ad036c42daa301d94f4b18b825c9720c43e

Observation 8b5dcaa0-d0e5-4241-a398-81a29692d7af · outbound

This paper cites The toronto paper matching system: an automated paper-reviewer assignment system.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions The toronto paper matching system: an automated paper-reviewer assignment system

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.720233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.025593Z digest=sha256:881ba04f7d5993c58b33bc0fadb192b58aa917564408910cf647e5d39e267708

Observation ddd1e528-4a95-4107-9a20-c74d8dee34fa · outbound

This paper cites No more reviewer\# 2: Subverting automatic paper-reviewer assignment using adversarial learning.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions No more reviewer\# 2: Subverting automatic paper-reviewer assignment using adversarial learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.702733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.031400Z digest=sha256:b0c949b8d55293502489ea634fb94a0a9f39c20701f2193245132ad2f51e625b

Observation 725d5f48-5937-4cbf-919f-24b51254cde0 · outbound

This paper cites HotFlip: White-Box Adversarial Examples for Text Classification.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions HotFlip: White-Box Adversarial Examples for Text Classification

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.036298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.036298Z digest=sha256:0efdd1276d312a31c00747eb6457918c80f1d7c929251a7db2e8eb91e9fb964c

Observation 6bcb46ca-448a-4e47-9ea2-7d9d59a6e598 · outbound

This paper cites K-loop free assignment in conference review systems.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions K-loop free assignment in conference review systems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.685579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.042668Z digest=sha256:73e1d52aebe41cdb0619bc9acb2d4382dc03570be4f95d38e6ef9694d03a4cea

Observation 75869391-4224-4d20-8260-841bcdfe4fb2 · outbound

This paper cites Knuth: Computers and typesetting, 2021.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Knuth: Computers and typesetting, 2021

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.670519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.047735Z digest=sha256:b4276937b90aebd6524a508c33a94120508a74942777c36aa1416727d6fe35f9

Observation 8327448d-73f1-46b7-b624-b78cfafcedb9 · outbound

This paper cites Is BERT really robust? a strong baseline for natural language attack on text classification and entailment.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Is BERT really robust? a strong baseline for natural language attack on text classification and entailment

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.656711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.054969Z digest=sha256:934cd23970b300f5c0aec5c602d07a796770a11bd34a86d6add01dd22a7468ac

Observation fa92646f-6ce0-472e-87d2-ac614c029cef · outbound

This paper cites On the Detection of Reviewer-Author Collusion Rings From Paper Bidding.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions On the Detection of Reviewer-Author Collusion Rings From Paper Bidding

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:33:59.373234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.060123Z digest=sha256:ec4c0ca196a7968626fdb01caf8901287d7152d889ee3339812ba0ba64d43dc5

Observation 15bf9f99-d3f7-4c00-b4e1-ad9809c649ed · outbound

This paper cites Tradeoffs in preventing manipulation in paper bidding for reviewer assignment.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Tradeoffs in preventing manipulation in paper bidding for reviewer assignment

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.641304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.065723Z digest=sha256:e50cf88c4f6708b8f47f095e6360a368d4c9b0bc35ea711e5958704d8213dcec

Observation 02b5dc61-40d5-4507-a93c-e8bb4b1f2083 · outbound

This paper cites Shah, and Fei Fang.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Shah, and Fei Fang

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.629098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.070494Z digest=sha256:bb72967199dfd710cb59dcc0196b54523c3a23eddb1e24af8b9d70181124c1e9

Observation a18474d3-0af9-4cff-ac0b-b66dd1e398e1 · outbound

This paper cites Mitigating manipulation in peer review via randomized reviewer assignments.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Mitigating manipulation in peer review via randomized reviewer assignments

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.617313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.079286Z digest=sha256:8beaf68a62d846456565c0af98cbca996469715596d7eb5a86939672936f67f4

Observation 09dc5ccc-c06f-4398-b69b-e61691444df2 · outbound

This paper cites Paper matching with local fairness constraints.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Paper matching with local fairness constraints

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.605002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.084277Z digest=sha256:a7631376b55e990e570677b3210a14e88d231cbe590e8b09b2286f5ca343ad1b

Observation 9de06b0c-783a-4390-9405-9b6cc7676892 · outbound

This paper cites Matching papers and reviewers at large conferences.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Matching papers and reviewers at large conferences

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.593191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.088860Z digest=sha256:7201cc1af2799b0443892d8e6049adad8f6ea05040d54a2abf8c10faab7cdc9b

Observation 78088686-925f-4fcb-a746-d26a0d00dd9c · outbound

This paper cites Collusion rings threaten the integrity of computer science research.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Collusion rings threaten the integrity of computer science research

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.580802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.093758Z digest=sha256:6814aac30760f005b8cdf7d0f4f5afd059e2834072a1765f317ab094e8d0da21

Observation 77d09748-bd90-4a0d-8b23-2820cf1dae36 · outbound

This paper cites BERT-ATTACK: Adversarial Attack Against BERT Using BERT.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.099279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.099279Z digest=sha256:6d599ba23973bcc635ece022c00b975f8738f68444a5c95f84e4d9fe25572d40

Observation c09616b3-03c4-4e38-a3ae-3e618be28da8 · outbound

This paper cites Editable User Profiles for Controllable Text Recommendation.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Editable User Profiles for Controllable Text Recommendation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:33:59.341962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.104428Z digest=sha256:6c1be20c32fa52053a85a2fb60e1d65d6c72f2870d0d6c184cfd267efa2f951e

Observation c63a2fd6-9d65-4c15-87f5-56b6d2f2a8ee · outbound

This paper cites Expertise modeling for matching papers with reviewers.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Expertise modeling for matching papers with reviewers

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.568092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.109000Z digest=sha256:b3127fd6373191b026bc7a1589c92953820c5a7d1b6c28449f14328829a519bd

Observation cf61cc83-96e5-4e9b-837d-0d7267ddf441 · outbound

This paper cites PDF mirage: Content masking attack against Information-Based online services.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions PDF mirage: Content masking attack against Information-Based online services

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.554212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.112673Z digest=sha256:63164eaaf0abf3588b5b8ec21b3d2123e600c09eab681d60a6729b9e4ab0bb61

Observation a81d9d3a-fa7e-40d6-a01c-63e51cb043b9 · outbound

This paper cites Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.116931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.116931Z digest=sha256:07767c2e758ed68f695619d1e5175f75283bf2adf775454290a35d478789abb0

Observation 25cacd67-6cf9-48ae-b996-fc99b711f8c3 · outbound

This paper cites Slide from ICLR 2024 program chair presentation, 2024.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Slide from ICLR 2024 program chair presentation, 2024

Reference 24

Resolution
verified exact
raw_fallback, observed 2026-08-11T19:33:59.309564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.121032Z digest=sha256:5350a088350a1c921f0968058059035059b59690d30526b4ea45a6191cae30b6

Observation 52514cc9-592f-44ff-b87b-bf45cac7fdf8 · outbound

This paper cites I will have order! optimizing orders for fair reviewer assignment.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions I will have order! optimizing orders for fair reviewer assignment

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.540125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.125083Z digest=sha256:23547e49dd68a6812deedd1b8af7778b1bca08f0bad818fc5b729985bd1d56cc

Observation 12a2f1ae-277d-4b46-a6dc-f6b49436da46 · outbound

This paper cites SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T19:33:59.128410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:33:59.128410Z digest=sha256:c55bf6becfc621a42de0dafcb50021bccc9388baf0d58f574981cb6a263063a1

Observation 3d9a3c62-3419-4b48-b11c-fd3e909b2847 · outbound

This paper cites Challenges, experiments, and computational solutions in peer review.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Challenges, experiments, and computational solutions in peer review

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.527639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.132222Z digest=sha256:7037f2017b7d150c109a2ff9b810c7ff0f0f649279ae9fd05b48557e53b382dd

Observation c5a74fc0-1841-443f-9545-5cdf9c4384bf · outbound

This paper cites PeerReview4All : Fair and accurate reviewer assignment in peer review.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions PeerReview4All : Fair and accurate reviewer assignment in peer review

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.513515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.136882Z digest=sha256:559774b964cd818e5ce19f65bd6e4343092ade54c292407a7a1d5e73c9201e91

Observation 72a9af14-a8f8-4716-8230-aae72de96dd1 · outbound

This paper cites PDFPhantom : Exploiting pdf attacks against academic conferences' paper submission process with counterattack.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions PDFPhantom : Exploiting pdf attacks against academic conferences' paper submission process with counterattack

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.500776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.141670Z digest=sha256:c8d2e03787b90d2e2bc0704d59ed2c0d994b58743e06fbc15ad12494bdb24eee

Observation 15422b4b-cf17-483c-ac0c-f76f806ab647 · outbound

This paper cites an unresolved cited work.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:33:59.486061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.145680Z digest=sha256:bd3a2a9e3d4ecebee5aacfec9bfdcded97761cca2e7cff20fa7320b94376961c

Observation 00a968e7-43d0-4078-8f69-7922fcd24b4d · outbound

This paper cites an unresolved cited work.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:33:59.473452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.150061Z digest=sha256:88d0217eb50a9199e012ca761f33ac7658dba36ba8bff0377fca4277e79ea76a

Observation 391f48b8-62aa-46bc-bd78-1e7f65e304fa · outbound

This paper cites Simple and effective paraphrastic similarity from parallel translations.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Simple and effective paraphrastic similarity from parallel translations

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.460898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.155680Z digest=sha256:db833818f02a59a7eb0fb3d31d229b8d8e4a6d0ae460ee0face0e9e085f75ad1

Observation a4783807-38c7-465e-8b1a-2857edf4604b · outbound

This paper cites Making paper reviewing robust to bid manipulation attacks.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions Making paper reviewing robust to bid manipulation attacks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.445990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.160596Z digest=sha256:d7e54007338cad5487b7e491255b8422ed823a4eceafab0edfb6f8464ef48700

Observation 72bd237f-0d62-4033-adc6-a5127a5a1bfe · outbound

This paper cites A one-size-fits-all approach to improving randomness in paper assignment.

Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions A one-size-fits-all approach to improving randomness in paper assignment

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:33:59.427241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T19:33:59.165930Z digest=sha256:e62d25f16b473a5a4f940dd0ef4130bb455150895cea223ad213ea4b4ba82194

Pith citing papers

Observation a66d6a5a-d6ca-4d14-afd8-8e84a0634358 · inbound

Identity Theft in AI Conference Peer Review cites this paper.

Identity Theft in AI Conference Peer Review Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:59:54.831696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T00:59:54.362231Z digest=sha256:a75803da08f374c6db6ee9b5fc5cadafc229e93e6e716b28acee4e23751f4289