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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.453530Z digest=sha256:d31274e45e538d173fb407000fe6bc4f65d9e84b9ee93f6df89bff5e157fd0ac

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.564274Z digest=sha256:34f5f0fd43f6835085286e082ceeb8ece316e9abac4b2d9092a2034f590a8d35

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.666474Z digest=sha256:b96d159f502779c6057d0d76843aa6319197758e2882570580cd84e21421c89c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.799876Z digest=sha256:22408c8e3f3d8ee89f031fd55553e00a5d3325205574293d712b5772dcffd793

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:08:59.918626Z digest=sha256:62227dca9e1539586a88f4fffd3fd02c82b83524c4d03651a7a5efb741f4b523

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.027943Z digest=sha256:4bbba39019a5b7b9c21e0aec299716d4b634b062276ef83bd8ead280a902f781

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.141928Z digest=sha256:7162e0f0936745f51f0e1710633827721190a77a63a504992ac173b760322d5a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.273143Z digest=sha256:88f00f3854f617292306284feec7e3fe913b9f82a3a9438b9bd1f5ecbd699b06

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.398987Z digest=sha256:5ff6425bc6ab5f8d0534c9588e750224d2293da93586936bf80412d2021dedfe

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.487845Z digest=sha256:fec7c24ee2e5bcacba8fe0d41d7c10ee5740bcd0a146caa607749a6a143b9ea2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.641488Z digest=sha256:42d7ee59214537440cced469f1757aba588b720cf4386fdd8a00514c4fdbfad8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.771361Z digest=sha256:bb1b25e18b494932f0cb43a15e5c8256120111e2f332d757ed4fd2daa80e822e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.877354Z digest=sha256:7abae1e43ffa21c1d9bdf237226a0fa6ccbff26c409621e1244256203abbf92e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:00.973165Z digest=sha256:2fc4811d69b9226322c09696805f210e9d2a173b15178dd902cc93dfb088e546

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.065489Z digest=sha256:eaea9c8c9d6f27b932c18b786fbbec5721c9dc6312b4320dd0840d1106df06e1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.148310Z digest=sha256:9cf1f3e6ec3e85f337970cc7a5f0b4c14f34264aa2ff23ce839ce5b05e4f6623

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.263748Z digest=sha256:7822b374105f813560f0acdffe03e4e5aba119559367fc1f72d60d5351f56e0e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.341999Z digest=sha256:89fab989636dccabd23accd491b65a80f6731532da03003bc5443a326ddfa3c9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.407967Z digest=sha256:1b6bae258147ac39263d778309cd09fabe43c1d53ed53070a7c307b436c63dfd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.577407Z digest=sha256:6aa6fd94dc1e808346d354359df62800f15cd0ee4957bee4bfe5ba0d7292f60f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.657664Z digest=sha256:c2d8e94b3e28e9fc6a7ebf25e00b5526859b2b1e049e68c4ad93d4dd84830535

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.773452Z digest=sha256:0d498c1843604ef7ede2f26a09da06ec3ba6a990f5178b69e98ebe8f564650c6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.860369Z digest=sha256:866b2c134d4faee0780dd265010a73ece04b7772d5d6e227e0b36a04cf46fdd7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:01.996831Z digest=sha256:17efb59204be42aa038bfebe2fb9f3990a4dc7d28e9bcd5bdf32e62383433f3f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.108419Z digest=sha256:7966d91f337186046f8aeb38cc206c95f993c637b6908105cffe548d3926a54c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.179145Z digest=sha256:0d459ed8adbeee05bf7ec45b7a7a1c162703e3aac039b631860fac41b1649958

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.270457Z digest=sha256:5f69a83b50a6296974c29129fdd9382945ec452ee4c9fa236380267452d8e9ef

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.464798Z digest=sha256:355d06d3d4c8cce10e9b97dccf068a39a3e247aeb373f01d5d2115b45ac92f1e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.582514Z digest=sha256:d9c4b620a70959497d879995e53400c96142b6d7f5d20758bc069b67046cc410

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.833847Z digest=sha256:8626af699ea7e5b5e327bf969001f157f0c5c9c6721a1b7b6338cdff6e74409a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:02.956682Z digest=sha256:ccf632aec20d09ddee82dc22d347840bdd294908924ee85cead7f16c7e729d1b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.072914Z digest=sha256:a826ef73c8a7ba6d1db7f011e38b37195bafc9c959f8cc28b30ef000ef7c1c69

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.226945Z digest=sha256:4e3f92da105fa71ff97992ff75a96b87e9c0c109d08750f9135a3b894ea68af3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.357427Z digest=sha256:463947249d84b22fa3737e967707372f7a3e6fea296a6a87586d0bb992ccf9ea

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.482089Z digest=sha256:4e856a9ec31f76944132b5d888ae7d617bb1750bca9cf027485ee0608237f9cd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.627918Z digest=sha256:7c1f70420cf847490afd8525e300d220ad8b85085ba65d21f33f582ca5f9b173

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.754273Z digest=sha256:a884f5ae06e2b75dbbeea4033c12615742459c97fc2b955990d2dcb705e4469e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:03.905759Z digest=sha256:952cce5a4bafef87a5292b375c533fb21aab1dcf5948d67a26a8791592a36a75

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.056994Z digest=sha256:fe8a2f10bf429f826116565f9127aba4538cedca4c45fe88f5003e9431e850c9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.179932Z digest=sha256:a421b1906014267b19d1cf7b92148c1c5e108def1fbe93e4a8d35a48f78ab4ea

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.289423Z digest=sha256:b877157610bf9c76a9ef2643cfd23011023de80a87178489038b8624e676cbb9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.394556Z digest=sha256:8a4b653cf817cc140f23324ba895d22fad9332b157937a6d398c21c6078694e5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.537942Z digest=sha256:f9083754c4e3a75ff9ed75ac417ee9791d09cf7d7dd80e90d49a91ece07c1942

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.681600Z digest=sha256:91516ab6b73342ab2fd1629412fb8a65619e88b2e0f8730268dc94cc0d98806b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.834541Z digest=sha256:5571efd372bd14ca352f7a6afecfd1357f7e4b63e37e599ae562779ce7447a3b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:04.975701Z digest=sha256:dd4df054f409973d0c8b1895e5a93c6248ed9fd4f946b5d08c0ac4b6f12b834b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.071501Z digest=sha256:c2900f88a6d60c940419c388e936a9cda43886b4ec8f44ea28334df6abcdfd22

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.213000Z digest=sha256:df5b3120ce97f2a5c66e1fc5887d1ffffbcd48fcd0dc3b9816094e18f9620b6b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.369337Z digest=sha256:8bc0379ae6cca4d0b83ded87428d7b9b403f83c7d330ce04baea943a83c8e312

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.442762Z digest=sha256:52e25f089b88c458fee784f54a9b76dc62bbf3a1dda3f0c35c42ad1b521cb3e3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.563750Z digest=sha256:d14c2ff9a6bba04e76579a3406dfee6327c9e7e76ffc4fcfa137bfaa11b2a6ea

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.655886Z digest=sha256:44cea2e64e78403cd5cfa8d44bc1a72f23a759aa70d06aa0d683b1a74a9640da

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.784922Z digest=sha256:e0038b7dc7651571b0fe1349c7577a8d885791a54373418f0fc8822e186cfbe8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.915337Z digest=sha256:a30d64dbbd0e711a2e29213ca3a0343d30d7f116c1dcd9f19911556f6815ec8d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:05.991475Z digest=sha256:eba2e0f2fde40d134c84d3ce23c2bb3d396800f68c1746e9f7deec59f1e1fea5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:09:06.141708Z digest=sha256:87a5a7da4d386750261c4fce3d999460aba3e8b79f0c4765974b661cab681584

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:18:13.249870Z digest=sha256:c4a6efdac38f0817c84f023e8e2f4fe7c3706022997aa1f328cf61b36a3fe4de