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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=sha256:09918fbd68debacd8dda89c4c87c309e0dc109236db2076c3c5c8b0350a359dd

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=sha256:705a82081d49927317fe80cd44ea6e417facc396e23fbad4b7e89db4ebbe7305

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=sha256:32ce3cf1b5740b9f877ec719aee22226b125e0550e865f178479678497a6daf7

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:efb761f02635845e29b8715a852bbcb3bf1585a7b215f1ff4a82440a82652426

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=sha256:0c4c11b5048b32b3d76c030d2f3aed05b7861ac874187965ffdc45d4551d7a5f

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:c270ef96bcd0ca22a544ea4f881857128fb682c3a4a01032153397e06e19aa27

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:d0b493c94d70fc0c45111079e61a757d0c14482c7674b1a892a6341667e31eb3

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=sha256:69fa412f176338c73ae3da5d1134a1ab15ee2af27d5526286f239489fd3ba414

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=sha256:66618d87020d8326805232fcfb17cb4940def344df651228ba6d5c5525f69226

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=sha256:89f45bbaf46d247f7930829c8263bef0cab1a50603733d472a9283601407f774

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=sha256:70be58e2b606df850cad79bdfbb04df7f954c6492244a1ebc2e4d3a9f663841c

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=sha256:498bef802cbc7ae2a9a74766290946cfa0b38c7aab733561d8f7e870b41dc8c6

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=sha256:6a02809f8136a878c55702af5a25e11e4046f47de9f8a3b201b7612a943eecfb

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=sha256:4e5e3872f53d8923e5ad260c5dc4d23b0fcf26cdf808e597234ca3010c80d5da

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:c275a63c493132159c88cb173723395ef08274f5f89b508de79f4dd7d6619d92

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=sha256:7c952311fa516064b89a6f4734c92990ebcb1fa6b0c81d9f03f52b5ba1a0e174

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:ffa4e19b159b6d7f6a93edcc98d2b21041c181201e2b77bbf0f3a253e98c886c

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:a5c35f09063b1acba0826d6122a202c6d9bf423f5c64909bff4efc19244b432b

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=sha256:572f85eb018b028114bfb5cb70534491ef82835568f73a777439ada4653ac58f

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:a75ba3c7eedc4fe3d2e69982b248cae5f9f19de37e74a2dd3deeb2097768a392

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:fd3a64ec88fcd2855a39176ee5de274bd5e4649e285f822f735adb52f21d0fe6

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=sha256:6947211a4ce93609f9ded291f48be29e19edbc53b76be796bc6ff31f4b6b4c16

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=sha256:1b5cb301e0c28bb80a12d4eb0af33285275c3c928313da8d39e0a1c3c70e10de

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=sha256:0aaf9779a5f6706a6c3d3cd763d5a38ce4b96702b608271de5a1686a4825caee

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=sha256:1233c6502112f88c3a7be9d84e2c08fd74f6df4c0b1f74c9a083fad6d16e23f0

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=sha256:1b2f21b43f25907d3be0c0af6baff6a025a61db66910df42622b7696a614d2d0

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=sha256:51b6f30c76c51431660415e3b4d623f4f353c7c5e5af05d0f172ca5a119229e9

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:cc356359407a63e4bbbfbb09d8819bd7043d431a268db8674daaeb144e0c762c

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=sha256:0f7b77c1c6ece9ed72f2e68c96e4f14e157485f34236d0543649da7b2f29a0af

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=sha256:8364822c298c6454a511d47a5a34ea77b4bf245885b23c3a1393938a68865ec7

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:f8773c6f78a1535ec343a909cd5eb40858a4a24ca303ea6747d05aae586af551

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=sha256:4b3fdb1458d7e5d777ba233b517bb916df02ab84707e9d0e9317b330010674f1

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=sha256:80031ed58b49e7a0bccd8a4d91c36121d67e1a25e40b0531f3c3d310520b4756

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=sha256:667182ca11b8985db9870bbcc78ce5cb517218312e806629c9c178267b1d2cef

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=sha256:152b03ade99681277ab234c8b10d2f6b61c0aed2b15b169cb4ba043b5b9d484b