Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:02cdb5bca7c8c864fe1813d7319e6192bbb50063a21817d489ccaa833e25e071

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=sha256:5cf30d1acde284c7e67e3bd25bedc60558cd36aaf9f0fcf8ec5bab1b4a8f52a1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.453530Z digest=sha256:72e0db364d3d9d1bcac8937768735c00254e2d46d36372296e338acfda1db6ef

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.564274Z digest=sha256:2cfa7ed4b95c50a216273639a8750159aab966ed3396efbd6966ddf3d3f10128

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.666474Z digest=sha256:f64751d2cbfaaca2af19351ed3e8cc4e0de566539458089f3234ebbc3b72ea3c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.799876Z digest=sha256:d198f008aafe3435d1f612a13d47bbafd4ad7bfca7b34c0aec54f67c0d85e1cd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.918626Z digest=sha256:8c52aa64ede4a3b404ef1025db17ff8830cc09ef5b5a6475119b4823c48b728f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.027943Z digest=sha256:557924f30ec7a4301434c2288c51c12415d916cbeed3e7bda83f2bafe4e1fd99

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.141928Z digest=sha256:4b7b3aebb33374b884243426c6de0e86c4366aa56a56436384dcb0dfa290d036

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.273143Z digest=sha256:b860f9d435043b83252a07f6d92cd16dca3339eebd4d3dd41101f155dcacea8e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.398987Z digest=sha256:7fede073797e7ee0a613dc26539ae5bc3a6d001df0a61e455f33650acc566bb7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.487845Z digest=sha256:e5ce14e89b1957080a46e15338ed982dd864b893b005e622af9a005aaf9ccbec

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.641488Z digest=sha256:b284e1b122223256ef9590bcd6184fd35d63f1bab21aa6145e694b4ace7c9c96

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.771361Z digest=sha256:fedf6d9708d433fc00f4d089481825d55c6aeeeda477b2b5301e71bafd83132c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.877354Z digest=sha256:e43566e0dfc2633d15750b173bb89e2c6709944286e3204d5460296832adf596

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.973165Z digest=sha256:87bfe82e8c2194705e597b14575c210d9fc5d99ddf0fa8b9016b0b0a9519f655

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.065489Z digest=sha256:6b31183e1c84cd6deff389c60aa57e43904b6b71bd77da31c8c04a226c3aed6c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.148310Z digest=sha256:c6db01f2fd409022ef718fbcd0b7a36682c0f238e227da178c329c3cf09352d1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.263748Z digest=sha256:bfa2f0c30ccf6e7da308d14e4091d2e8c6c326e13b7b9dfb2e436ffce66c13ce

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.341999Z digest=sha256:15aaed7e880dd12b59f5e9692d8b2892d33f822b9f4e5c719da76f5f223c1ccd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.407967Z digest=sha256:7c27e3c6a2999742b5023bd1d9678ecd11e31e2c538b2c0794b86a7e0c5ff90e

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=sha256:077ed874bb5e9fb79b479454615e9c71cad6dfa359f663de7f0af6979bb47a45

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.577407Z digest=sha256:96cca9bb85f19e47c7900de59a1541f844985d3b71be71767ac07a74debcfd4f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.657664Z digest=sha256:9af1e3d8f0c3d60f28c01e4ef93df3fbf06d7dc53df0431da52773e8364d13ba

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.773452Z digest=sha256:b9000fc89e30aec1d77695917e6d1674bcdeaef0adf261c5909b6a618132b095

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.860369Z digest=sha256:ac29462628cc786619978b98f32fb2307928fd515975552bbf42e496520323af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.996831Z digest=sha256:235972e844efcab04f7c373ae0f8b9b80089629807ad951ad3813669b57bc9a8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.108419Z digest=sha256:fbd12bafec4e3ced07685cbd7a7b7f4f50234ae2bb6bb157381d00eeb9a2388e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.179145Z digest=sha256:6c5267224f2d8b935c05ef88e5209906319c04f240955e80e9e6a81ffe1876a1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.270457Z digest=sha256:a20157192edf22922cacb34f5cba444bf6e825fa7e9ef57a51868a9901545409

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=sha256:154b3875f1d0a74adaabd70f4c44171af6d5cb8d2acce670babffb61d832e46e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.464798Z digest=sha256:f4d8d28e0386d6882537e49f07135bea48875ee9334ac720b7c357b868d92c89

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.582514Z digest=sha256:126ecbfb99b83c4383faa7b7a7578611fe224c98ed953b3483a9373455dbf717

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=sha256:92606af169a69b08e92ff8d098365c9441a1011c15cd51230768b74f70bcb5fd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.833847Z digest=sha256:659498d6d452efff6b401ba0102516688a7816d67fba5717fa7e66e44bd9bfaf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.956682Z digest=sha256:fa714bcfe6ca692413e5ec0e812d83f8a32e3f7ed7fc5a5e9642fb61417f7d9d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.072914Z digest=sha256:3e31f983862d068e359a8fb16e99f641516efc6d81b456b7cefeff8db436d782

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.226945Z digest=sha256:cf34d5716798081bb3a9f36ea0804a4d0d6f7ef91be73f848ad89253650291d2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.357427Z digest=sha256:7d0e38f527dfcbdee3777c4103690c4f47db73a9d1c4742435dfe54b8989f8ea

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.482089Z digest=sha256:4ce8d4ee3ccc16ede1b2a368b8f6e2746e61c80ccd2a82d3ce66f72591f095ed

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.627918Z digest=sha256:38b18f45fdfcfbd0b5218234baae270ff8d1c1ecc7d963725607e79b3f005a52

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.754273Z digest=sha256:c945e160410f1c2911367e2342372c69d0760705312379e28d3e0db707de69ab

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.905759Z digest=sha256:7f69ebfff241701a621b261ef47210a2b0a5db11ae9c9a98bf9b4b6d59a22b3a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.056994Z digest=sha256:e1220942ba3ad94fc35ce420a625138f988b42a82c121a303e9b5867676a95df

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.179932Z digest=sha256:5995c8b38067977279820077c65e0a99537f3de2661477bef189fa6d1ce99c04

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.289423Z digest=sha256:fe28ec4b30bf69fb9ddce3f396999f98cb036d578cea170eb23d9db42692f811

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.394556Z digest=sha256:5b5e95933dcf34fe553b3974a3bce679952ba847ad94592bdbd58190fff3a7bb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.537942Z digest=sha256:ef4aeb63d8370247c89377f7a7b113c834b519eb8ee57ee8f122c1351d4bc7dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.681600Z digest=sha256:0359869b8affacad006dbc65065c2b498f7bd5d34c4baac0c140220fb95b0f51

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.834541Z digest=sha256:51aaf566f0e361e72a7878ab48eecd8a0dd281eedf7fe0aaf0eadca8d13320ff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.975701Z digest=sha256:6d9aeea9bd521d5e26b3fc113ae30a0ad6da3337a57e879d015af03b2ce312dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.071501Z digest=sha256:5b4c88a4f4a6200a02507e475faf6facb38948d8174e5ed91eb88bf7f2547714

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.213000Z digest=sha256:eb3b3b939611c76605dc1b479ab987b9a2c3e5daa565ec81b7171afa9dd2461a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.369337Z digest=sha256:2e4cee3c92b98cf21b7b807b79399b44fbe7a9b3499cf5c39743a5feca690512

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.442762Z digest=sha256:ac345b4cd8e02bfb0c86c758c085fb2c2e2de8b26969389804bad2c716b979b6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.563750Z digest=sha256:5869dc9d6a9df1406126daedde25393a73dc95cb3edac09ba06d0439152a94ae

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.655886Z digest=sha256:818351ddad3a691c6ff25ef92e1eeb660c3688b3f6559fbf647db35d41bed5bc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.784922Z digest=sha256:1c279589abcab1bff2b23531c191bcffd50aff9b0a0b40ed7df8146166f62dfc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.915337Z digest=sha256:aec84c9d1bde4bfbd05c2cc6a2fe5b74d79afdd962dcd35a9624be083cd93b45

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.991475Z digest=sha256:f4de78c99e8aaed00e6804e17c62f83f58dc39f0c8594faf17cd752f9abe7f6b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T01:09:06.141708Z digest=sha256:e707c65d3d99cc54c0a1bfe55f709c7cbde12e351ec6fd48f57dff053bc0c91b

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:b81b479924fde5fe75edeb125668004f08ae2e62a71bebef46c2e9cfb15e6693

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T20:18:13.249870Z digest=sha256:ece17182046341341e4ee6bd13a002a1538971ad8efa1a49b583dcf57113757c