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Paper Citation Record · LEDGER

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2506.11880.

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

pith.paper-citation-record.v1
2506.11880 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:06.141708Z

measured 63 of 63 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:32:44.920665Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:18:14.336382Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa087081-3a37-4542-805d-a194bba327f7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T01:08:59.249683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:08:59.249683Z digest=sha256:760735c1d1512d2209a445ea5612ebccbb1b0c9e0b6a59bfe44e1fc8a6813325

Observation 09a21a0c-9462-40c1-9dd3-4b6f905cf73e · outbound

This paper cites write newline.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T01:08:59.351604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:08:59.351604Z digest=sha256:0da1b4b63865ec41fa6210d6b1cdf9557109345b12f0cd821fee47331b51ba91

Observation e600aa73-0d91-4876-affb-12c9f98bf879 · outbound

This paper cites G.; and Blank, R.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment G.; and Blank, R

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:17.571353Z

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=2026-08-07T01:08:59.453530Z digest=sha256:c98ceeb90349ab79aec5ddd9565b941463fe9ff72a7dcbbb192722986b5c0528

Observation 3a91c0ea-4971-4a0c-ac23-1e26789872b8 · outbound

This paper cites W.; and Romero, J.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment W.; and Romero, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:17.371536Z

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=2026-08-07T01:08:59.564274Z digest=sha256:c3826c5a062e8574550c63b55b0d3461db01f8f0f2fce8f41f648cd27942be2e

Observation 8da7c856-1aba-4397-9a15-0ccfa937fa81 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:17.197352Z

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=2026-08-07T01:08:59.666474Z digest=sha256:57ab759ddcc169a85a3311baa20339c3907b6af17fa5c0216e11abf12e297e1a

Observation 7b9c3e8b-9811-44a9-a9be-bc6c96072c6b · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:17.030073Z

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=2026-08-07T01:08:59.799876Z digest=sha256:98ae2650a00c4701f7f6079770a38b2189923a9aafc30bfb091708e714093d4e

Observation e7547a28-2671-424a-94e3-708f593de250 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:16.848261Z

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=2026-08-07T01:08:59.918626Z digest=sha256:a43ad156fee4f929a1cbcb4b6f7854be78244c244ff83e220d41f146198ee400

Observation 0a1d0c1f-4827-45b6-a188-8db27ecdd050 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:16.666387Z

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=2026-08-07T01:09:00.027943Z digest=sha256:8d261a3bb0610461f0247f0090cd28623c09f8e8b61ad4948d61c18b6a431057

Observation 473b4491-0fa9-4168-a1fd-c1c19aa31f10 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:16.420056Z

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=2026-08-07T01:09:00.141928Z digest=sha256:ff24c6a4b842f05667f281726eaa98625d6d6771c24d818640e77062fd2f65c9

Observation 134556e1-e109-402c-be0c-074214344260 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:16.224491Z

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=2026-08-07T01:09:00.273143Z digest=sha256:611ed9e02bdf78c2cc0dc0943a800dc4ebbd7dd375c615cc753066332fc6b7cc

Observation 08a8759f-85e4-474f-a271-36fbe1e87c00 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:16.012124Z

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=2026-08-07T01:09:00.398987Z digest=sha256:d27f3a347a2485d1ba560b240a00870be3aac44b35a72ed891da25056ecc44a7

Observation 59e54d62-08be-476f-b013-415d7541574c · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:15.803673Z

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=2026-08-07T01:09:00.487845Z digest=sha256:44dabbdbc3ac5aab947c6c8757d89df38f581728ebf60e63255e011ef74361db

Observation fd93f4de-ba54-499b-8a41-557b2222289c · outbound

This paper cites R.; and Liu, H.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment R.; and Liu, H

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:15.637748Z

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=2026-08-07T01:09:00.641488Z digest=sha256:6075f5436093488085385159d9c7d6319c32b43aa7d66a19b755b26e39f52d9a

Observation 4f35acc8-b555-4a62-b037-6643929afdb0 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:15.434576Z

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=2026-08-07T01:09:00.771361Z digest=sha256:6de94efc3ce8b859977ffac436ed834d9b06502c7956a8b7f18cb327b6eed621

Observation 0fb1ead0-8e42-4942-a28e-9219b61faac2 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:15.278615Z

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=2026-08-07T01:09:00.877354Z digest=sha256:b2fc0eb5d1bb94063b936f7f5589f62023a8296a6d5e6ccd191feab53d7bea2f

Observation 7174dd32-5610-447d-a0d9-f0e2039b4cd1 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:15.118449Z

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=2026-08-07T01:09:00.973165Z digest=sha256:4cfa24026593349d2f8f43e9f7fa41c3a99b505f33cce79055e77afdd5737dd8

Observation 76012d86-3d05-432e-bbdd-b342435b6ec4 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.959675Z

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=2026-08-07T01:09:01.065489Z digest=sha256:3dc0e49861d707a622967afd6c233c9fad4e903f1f75a0ea1b8de7a30ce00a2a

Observation efb4fda3-f526-4819-87c7-ce363de38af4 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.765862Z

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=2026-08-07T01:09:01.148310Z digest=sha256:8c39e5755247c25c1d0b96dc9d616f3690ca8b7254c904287dbd51155aaf380d

Observation ec9f6f0a-3e9f-45a6-84de-0bb7e060753f · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.588764Z

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=2026-08-07T01:09:01.263748Z digest=sha256:13683d48068598aa53df7fcf8f119d617660e61727154b49356d9f92f3b0f7c9

Observation fa9a5c7f-1e84-4d2e-bb05-496dba86e521 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.397706Z

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=2026-08-07T01:09:01.341999Z digest=sha256:925591cf5d7df0b1e9a01fb1690f74866be2af4ced026c9b89b37631dd32f01b

Observation e68ec8ef-0a4e-4eca-84b9-f946734acc2b · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.233916Z

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=2026-08-07T01:09:01.407967Z digest=sha256:c2cde3e68fa2c20808546f4516a50b137fcb62463f395a49981998fe51c3730a

Observation 308cfed0-9064-49df-be80-4ccaa8235d0b · outbound

This paper cites MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment MART: Improving LLM Safety with Multi-round Automatic Red-Teaming

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:01.473343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:09:01.473343Z digest=sha256:bdb3f87649b9b0a2738e26030bd844116c9010608ac679cb06a4d3c2d5aef412

Observation d8445791-435a-4ce9-bd2c-a56f5608770b · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:14.052083Z

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=2026-08-07T01:09:01.577407Z digest=sha256:b3071be7e4b764b3df46f36608726861d4a7757119381fce1ae95e82e1538853

Observation 2d4b9a6a-2e32-42a4-a41d-8c733f3f091f · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:13.898256Z

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=2026-08-07T01:09:01.657664Z digest=sha256:9febf683dc5923b260c04bfbd6f680c6c611482cb83ea19dffaea50f38e1d1ab

Observation 8120e565-417a-4481-b759-7025d06b1852 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:13.686502Z

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=2026-08-07T01:09:01.773452Z digest=sha256:b8b50a66d7fc2051e70d1b42cb93765922db4d70d7ba7552213cc5f14d58f975

Observation f1183f70-5a72-4026-b68e-12e2fe096e3d · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:13.408530Z

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=2026-08-07T01:09:01.860369Z digest=sha256:498d84e35872daeef863962218984096c2897659757ad7cf0f62697e7652635b

Observation a2d4c9cd-3967-44e1-bdcc-bc97b22b3384 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:13.162419Z

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=2026-08-07T01:09:01.996831Z digest=sha256:606e1e509857d987a1542f11760fe67a774ec1014d49435208968d15bc097300

Observation d8432c7d-8a27-4210-8ede-943843020d22 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:12.837866Z

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=2026-08-07T01:09:02.108419Z digest=sha256:16a644c5e9970ad57cd4dd62dfc799cca09017ef11aa4cd8b56aa7406500dd6e

Observation 62096695-8c31-4964-87d5-1f4704de1fbd · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:12.531730Z

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=2026-08-07T01:09:02.179145Z digest=sha256:5648830414cdc3b1f37d67090b606b064ccf4751f2c873f1de997ea6b008eae6

Observation 65d79234-449c-45df-9878-f3655dd384fc · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:12.457118Z

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=2026-08-07T01:09:02.270457Z digest=sha256:5410af3f5381b9daa2c92594941396b2571063d9020f4e1849e3ba81947670ea

Observation 94e4d37f-b604-42fb-a9b1-0d889105da25 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:02.399148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:09:02.399148Z digest=sha256:c74a1383278e8d4e0ccd6cc18953f8fe06fb2a104de9a53895d51e663d1e829e

Observation e95743a3-daa7-4618-aa94-e569d871f420 · outbound

This paper cites R.; and Rudinger, R.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment R.; and Rudinger, R

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:12.322573Z

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=2026-08-07T01:09:02.464798Z digest=sha256:8a8dae0be6b931416e484278d3a5703f3e0092c03efbd86adade8b23528bdf13

Observation 6ac84d0a-53f2-4f73-ab6e-896364dd6f2c · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:12.169350Z

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=2026-08-07T01:09:02.582514Z digest=sha256:f9a10bcdf1e17894a5dffb2f75f1fb9d979894df18b6d268ab3218f016a3e086

Observation fc169239-0735-4920-b6ea-08ae636422e5 · outbound

This paper cites GPT-4 Technical Report.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment GPT-4 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:02.706549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:09:02.706549Z digest=sha256:470f9dc346140051592e9e77c64d9c52e6c25a0b74f74f3d18dbce37a6438613

Observation fefea86b-2d0a-4c03-a4dd-d1440f15dd53 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:12.051188Z

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=2026-08-07T01:09:02.833847Z digest=sha256:c036a0046ea6c408cd7290f88190bf16d8f660e671274315299249b2cb50be75

Observation 8930b693-10ce-4053-8346-7197cce05d20 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.911950Z

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=2026-08-07T01:09:02.956682Z digest=sha256:3aa4339ba0dbb965115b34887b659756920cc235761265fb290b0a306c675f6a

Observation 45ccccfe-e64b-4365-b789-911ae2ebcee0 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.784386Z

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=2026-08-07T01:09:03.072914Z digest=sha256:3d9d123fa2dd77aa40c0738f29722ec39c1d43058d00af00edfa729641d1773f

Observation 15802512-545e-499e-ad37-e24f582c5c3d · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.648941Z

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=2026-08-07T01:09:03.226945Z digest=sha256:69a16b3026ecd29e24c1aed7847b8f4721ea2423143d920b917afce118d851b8

Observation 6dda6532-d987-41ff-8259-f13ce6d30845 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.490975Z

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=2026-08-07T01:09:03.357427Z digest=sha256:7b70f0236980a07d945aa7e31103600884efc11a5f3febe5c60c58e691dff1f2

Observation cd2451b9-9e47-4246-8d70-3f061044a8e4 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.324022Z

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=2026-08-07T01:09:03.482089Z digest=sha256:aead842f11d16be08faaf5afa1dab417d24bffd8c5b7d2910074d6d752934c93

Observation a3e71d30-49c3-4ea8-b73e-340dcaeae0e0 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:11.048983Z

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=2026-08-07T01:09:03.627918Z digest=sha256:95e8f7eb6d2aeef57b794ebc1648c5e94b256cd684eeadacfe9f4f503e7da85b

Observation a1646ba1-20e1-4845-ab51-7789db166674 · outbound

This paper cites M.; et al.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment M.; et al

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:10.749379Z

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=2026-08-07T01:09:03.754273Z digest=sha256:230c6dea01f2364f4823a2125bd9924d9be2445c5be01ad6a5c0a5c9debed832

Observation 0955f43c-7e35-4e4e-b15f-6dcd2934c733 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:10.579532Z

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=2026-08-07T01:09:03.905759Z digest=sha256:4eb384e2955c2f002fe7ef38d5dad26f4adbedeb5806de1dcc4c11c0f7790575

Observation 45608350-fbb5-4685-97fe-0aa1c108a9b4 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:10.384257Z

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=2026-08-07T01:09:04.056994Z digest=sha256:a3b2abb287117fcfbfe7fe61059eeec6b775c6e72de36441bbf681ecc822b078

Observation ca5d8734-9115-48b9-a2b0-5960c7fd89c9 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:10.215836Z

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=2026-08-07T01:09:04.179932Z digest=sha256:841e919cac2cfabc3cb047fdf7a276ad871a97532e2d5bddcbbe52137e5fc385

Observation 1f9393c5-4e4d-4fa6-8eb8-70fb76efbfb8 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:10.015123Z

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=2026-08-07T01:09:04.289423Z digest=sha256:81729463d20cb223b2721dd3f9a51a3cea77e4652bdfcf01204e67a43e9d9a93

Observation 6d607e06-ad90-4c1a-b5db-eee40d5c32a8 · outbound

This paper cites S.; Mattei, N.; and Dickerson, J.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment S.; Mattei, N.; and Dickerson, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:09:09.797762Z

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=2026-08-07T01:09:04.394556Z digest=sha256:9a85d7910ccf8a1af3d1c83e8b6a2a5c1a5f806da0a3a01aa5e749b1ce4710cb

Observation 9d8732aa-0627-4098-8fa9-9e324e93acca · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:09.608706Z

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=2026-08-07T01:09:04.537942Z digest=sha256:b48297a1b86d306a5646804a4a62529df11a8935bd28f93fcec70d851e40a4fa

Observation 913b0b0b-35d8-40e5-aea8-d033cd0a3fd7 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:09.422782Z

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=2026-08-07T01:09:04.681600Z digest=sha256:38eaafb9afde518f00b1f1a10596f451d451e81993161855bf32572187535d82

Observation aa938125-6de6-4a80-8999-44f68a5fc487 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:09.182946Z

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=2026-08-07T01:09:04.834541Z digest=sha256:442e4e8ea8fc73c4281611ddef97ec70ee4fe9bd82dd88b87574bdce4fe1018c

Observation ca7d23bb-1e7b-4082-b34c-5ee6fdaf212a · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:08.937677Z

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=2026-08-07T01:09:04.975701Z digest=sha256:71f491c5b7be656d90cae2366824befa8d8ac1ccd47e60bbd9dea08db6bb8789

Observation dd4cc2af-5745-4f27-b865-4594e969a905 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:08.679952Z

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=2026-08-07T01:09:05.071501Z digest=sha256:f38bdd525dc6c1560eba0b73ccb5e8531764542cb933ab9a53427698292410dd

Observation c6e27709-cbb9-4290-94e1-41c40aceb30d · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:08.408584Z

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=2026-08-07T01:09:05.213000Z digest=sha256:99cf010ecf8bb6878f8c576627c3b04886003a488a9fbb4b21aa2fa97fbdd6a4

Observation f1763b29-ece2-41c7-abc2-1d7cb6a0168e · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:08.155711Z

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=2026-08-07T01:09:05.369337Z digest=sha256:8d6d7300349d47eedf7d6e402a879fdf37b6a0db52751db6636b7d26f9c48ce3

Observation 2079ef28-c023-4f21-b65f-60ab4856fa4a · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:07.950346Z

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=2026-08-07T01:09:05.442762Z digest=sha256:8c65507a63c38c81e68a5467e2ca9ce368c12016820fd72efaa37bc4bb38f13c

Observation 035faa8c-d3ec-4b07-a142-f3d429776b18 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:07.727221Z

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=2026-08-07T01:09:05.563750Z digest=sha256:d545400c454dbaee86956721f6183b2992791b235b48d843cd89e3dda1f4e83a

Observation 6d21ea81-6d51-4da7-b495-28a009349edc · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:07.421599Z

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=2026-08-07T01:09:05.655886Z digest=sha256:f7b6e26c4ee975159412b7754b303024984afe9ba9c676eec309eabd634ff2ff

Observation ee71c024-f473-4de4-8e5c-092c54e55a18 · outbound

This paper cites The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T01:09:06.429989Z

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=2026-08-07T01:09:05.784922Z digest=sha256:f3dd28ebe8b8139684a17e6a874bc8e4c271dee8b2124b5bf1e149f8a31d4650

Observation 8362d341-5224-4fc0-a2db-1fcc99dd6d32 · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:07.208414Z

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=2026-08-07T01:09:05.915337Z digest=sha256:e228dbc378a23c123621f4714e8a43af3e128a6af618cf2576f2c1ae4d36b513

Observation 232a551e-5dc7-47bf-aeb8-36c57608b17c · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:06.894741Z

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=2026-08-07T01:09:05.991475Z digest=sha256:b6844590e5d430e57139618d3f44a3eb9000f7f045dda3cca1ee5873fcc81e67

Observation 58c7b6d7-43d0-4ac6-83cd-5a0e96ea4a1a · outbound

This paper cites an unresolved cited work.

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T01:09:06.641367Z

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=2026-08-07T01:09:06.141708Z digest=sha256:eb9eb59d04662ae697f6700200a9706ed6014f8e0d07652418e9bd7bb1218551

Pith citing papers

Observation 2370e627-fccf-4800-a3f1-fb3207e16aa2 · inbound

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER) cites this paper.

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER) Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:32:44.920665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:32:44.920665Z digest=sha256:5cd90454bc0da5998a5f1b72f3f6066bf01322e7fce5005a8aede0b9334b31b6

Observation 0a177d25-389f-4db3-b40e-f886e50688fa · inbound

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) cites this paper.

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2) Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T20:18:14.424724Z

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=2026-08-05T20:18:13.249870Z digest=sha256:0c8e73808394641ef8aecfe9013f4bad2904112c519a18769c2a5f6723d1eaaa