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Paper Citation Record · LEDGER

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2501.10150.

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

pith.paper-citation-record.v1
2501.10150 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:29:18.384567Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T04:50:43.547037Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:16.682660Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 774c1f8d-d9ba-49d0-9046-fac266a8c5d6 · outbound

This paper cites URL: " 'urlintro :=.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.184741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.184741Z digest=sha256:f07cad5649f0a24bffd9a35e424d6a6747cce833b7d119d92e1e588c6829f302

Observation 01b3440d-4f94-4333-930f-cc28bfdec7b5 · outbound

This paper cites write newline.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.190869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.190869Z digest=sha256:7273413c333bd7f5b9d2c56a8d5ec2ec2a5cea35d14f52ce32d8180b3d82d087

Observation aa47acd4-82d5-466d-b6c9-cea2e71b55ca · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:19.071827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.196032Z digest=sha256:efd1e7a777285e1628d52a8f2b1e8d1971744f35a767a4864cb7807eeacfd825

Observation 988e57cf-42f7-41b2-8740-557725d2beb3 · outbound

This paper cites Zou, Venkatesh Saligrama, and Adam Tauman Kalai.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Zou, Venkatesh Saligrama, and Adam Tauman Kalai

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:19.055776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.201090Z digest=sha256:7fb9b817818042e07dda523cb3fcb245f2131383e9286ee0ec003ec946512be7

Observation b77e0486-a28f-444a-b11b-671610cfb39f · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.205518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.205518Z digest=sha256:0de035adc795f54bc4707d719e19c704bd72ea8d25a110685b0ec47538d59010

Observation 036ff404-13b9-48d5-b971-6437bb2212ba · outbound

This paper cites Wallach, Jennifer T.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Wallach, Jennifer T

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.210619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.210619Z digest=sha256:9f319ea43f8a2160f4c978caa4254484d6e23ec3fb6607b5f3a496b9220c756d

Observation d9db25e0-11af-4de8-854c-0cd87564e760 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.215158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.215158Z digest=sha256:d050579f7d80087b8fd46e72b2e643350e18d41ad6ce959a01c6282e75aa1d91

Observation f71fecd2-ec47-460f-b8aa-7a0967e2fa3c · outbound

This paper cites The Llama 3 Herd of Models.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation The Llama 3 Herd of Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.219702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.219702Z digest=sha256:89ed1e6582200a2fc9e4bb51dd02b0cef074f4ac83bcafc3f1a4e952065f9e29

Observation 05e6dbd9-0dd7-4548-8d73-6919e32300d8 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:19.040365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.224762Z digest=sha256:b494fbd36575b5fd6d1ba4206987b2a52642e177613786a7dc9501d843d611eb

Observation 93425c80-66e3-4ed6-a085-c978f1bc75c7 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-10T19:29:18.605886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.229042Z digest=sha256:ee294baf119046e405a5f0d22f0e3925c957a55a9fb3d0525a8daab5686f8b10

Observation d87cedd1-8a0c-4633-b024-e04342fb02eb · outbound

This paper cites Gallegos, Ryan A.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Gallegos, Ryan A

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.233423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.233423Z digest=sha256:ff4c93bd800e58b6f215c3ae44452d994d36ac45c35bdccf3c057cc3a0c7760f

Observation 83029774-4f58-4ef7-a32b-2eb7e6b49bb1 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.238512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.238512Z digest=sha256:e85adef30290020e8808039509dc79a4ce10e6a0fa8094d8267b327146ef780e

Observation 6a3f7834-37c0-4c48-a35a-e767b17e87c8 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:19.024389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.243433Z digest=sha256:8851924c59883b61e77babaf3552595195358253281f9570308e2d05fca768e8

Observation d0ed2610-cbfe-433a-a021-192fdaca7564 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.248304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.248304Z digest=sha256:d4a576a9ffd6776cb3629dea7c22786fee85e0a40e5cf378e597582d083e6d07

Observation 4eb31b4f-a951-4639-ac30-8ae75a697a20 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.253072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.253072Z digest=sha256:bac6a9d1a03832dc58fb8604ca2f7bcd4e567d3b97799d7d3bd446354992553e

Observation baa5e5fb-a856-43cd-a31e-f568291da78a · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.257860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.257860Z digest=sha256:9856c492bbc8ab0597ec84fbf0502791ec35ece6adfc4d4fdafa88e990c63647

Observation 44774643-1ce8-48ad-8171-a59de37a2594 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:18.989349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.262536Z digest=sha256:f9376a91c2e20591f023c594c08685c7cab4a238d3cf5dee26767db6d8810379

Observation 93425822-f890-4c17-aaa2-29e1103544f2 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:18.975086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.267098Z digest=sha256:9672358546403e8c90516023442db8bdcb0b775ac28d9669aa9a460b815544e1

Observation 1aa94e39-3d88-47a0-b757-0be6d825f437 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.271544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.271544Z digest=sha256:dbf50996dabe02f9d5bc9f70957984472f55331eb275f61a1f3cae67b58cd8ff

Observation 3c7322c6-b6c2-4968-9b85-b6958c3a1b19 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-10T19:29:18.552748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.276389Z digest=sha256:b9bb6792bd9ac2132c652839029f3c4e1cdc9a760098ab3f2749edf3bd989682

Observation 768c7fe8-45eb-41a6-b73b-4fb8baa9f61d · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.280574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.280574Z digest=sha256:e8093532dd1fd81554a61e013152de6111c6a5cfb1c4a6a7d982da15f33e3a38

Observation badb1221-f442-4e8a-8538-a1d76134580c · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.284608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.284608Z digest=sha256:c625193b049e524fa62f5c339b3d267dfc737aa1c4a496954f0b243eebe69039

Observation a818bb9d-1a28-4b21-bdcc-645de2049d8f · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:18.951345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.288991Z digest=sha256:5a15a64df135e1623a04e09fbbf2e22cf853fbb6454c73da63988cb48fd1fb01

Observation da437765-b4ed-4e18-9358-cf7bea9b68ad · outbound

This paper cites Andonian, Yonatan Belinkov, and David Bau.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Andonian, Yonatan Belinkov, and David Bau

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:18.935223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.293153Z digest=sha256:2edb72b0ff7314d038ef358bef7b818c618ddb0dc4d18f15e6472c84191e2ba7

Observation e3175dc8-dccc-4b20-a5e9-431d6d99356c · outbound

This paper cites Pointer Sentinel Mixture Models.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Pointer Sentinel Mixture Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.297410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.297410Z digest=sha256:1f6fcc371f89fc151e255b3ac58d08ed50b38e6c0b650bb993b416434591b5f3

Observation 00f71aa4-0548-4c52-b27b-b0594bae741d · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:18.919361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.301765Z digest=sha256:6d8f6f5915495946043355c50445ceb49b2d9e75a53e7e34d394ed67b74d86b7

Observation 0fb7f323-2f96-496c-8e24-f226611877e7 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.305765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.305765Z digest=sha256:890102b1b66e96700cc2c0a88525871add3dafb2a47e52b3fc414b547a219db0

Observation 9fa93072-2385-4c86-946c-214db0e39d2c · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.310727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.310727Z digest=sha256:5b292183d80e8bf81bde5cc644c956232c04e21dcb67e05d21de98da451006c9

Observation 0c6c6a77-8178-486d-a7fe-44d842d4f235 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.314929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.314929Z digest=sha256:d3362a916257e48054ef1ad1bf4c4c4a1c97eb420ef71a2ff8e0a113cd1fdbf6

Observation a6a8119b-5f14-4275-9cc4-eae16b9847e5 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.319143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.319143Z digest=sha256:3ab94f42d56233603b405dd79ec471d11636eef2fc9aea1e55ec5fcce53116f6

Observation a5a312eb-8cd9-4cfe-b9c6-ef8acd7702a6 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.323449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.323449Z digest=sha256:09b92702d0f2fc7bf435c3d8bb60b308da299481ea65d2dfca715a21dc68da2f

Observation 134cd8d5-81c2-4249-be4f-6b07087e6ad1 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:18.894083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.328130Z digest=sha256:86d0fbc2dd5945e2c587a42b322817ae53879bed332412c80a0218f2cce9820b

Observation 5930972f-e603-4a16-8ab7-237e92c80816 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.332587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.332587Z digest=sha256:e69a6face82a3ce83951bbcd740e2391b108648cf5382e80db959a20c9715c42

Observation 4602873d-cd5e-44d6-aef2-c505d300161b · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.336847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.336847Z digest=sha256:75027801692c95a1ccbbbb939f99fe7e7212e1462c8546bf0f68384d87a8265a

Observation 691ad0bf-4196-4d0e-a4ad-4ae09e226509 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.341249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.341249Z digest=sha256:c0489f5f4873394d7fc13ffa8ee22122ff39c66b57b495167a4efa19a77af976

Observation e87bfb0c-e37c-4e86-8a43-b8546d5ad68a · outbound

This paper cites A Survey on Gender Bias in Natural Language Processing.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation A Survey on Gender Bias in Natural Language Processing

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.345569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.345569Z digest=sha256:e9d61750e5f493556a9eb21209eb1afd8e8d7c3db3a6d3463ed39218275aaca4

Observation 86660984-06ee-4b69-81d2-33325052e7c3 · outbound

This paper cites Smith, and Luke Zettlemoyer.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Smith, and Luke Zettlemoyer

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.350807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.350807Z digest=sha256:a511bed6879fda508cc81da4a1fedcdbd4d5f2f6077b35fafed0fb187c8b1369

Observation e893a6b9-bea2-4e0a-9201-9466b06b0221 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.355443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d582b6ee-4fc7-4802-aefc-509ff4199301 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 53326970-c505-44ae-b9f4-3c5f042fd5ba · outbound

This paper cites Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.365361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6438961c-7faf-4565-86cc-fc604a986cc4 · outbound

This paper cites Zuidema, and Katrin Schulz.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Zuidema, and Katrin Schulz

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.370327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd9a1e8a-8250-4b8d-b6e8-6327f3393ef7 · outbound

This paper cites Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.374960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56bc6fb0-342d-4b5d-bc94-2547fd7cbb00 · outbound

This paper cites an unresolved cited work.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.379763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed0d613f-9333-4bb7-a2a7-54e8fb79ecb5 · outbound

This paper cites Mielke, Hanna Wallach, and Ryan Cotterell.

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation Mielke, Hanna Wallach, and Ryan Cotterell

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:18.384567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:29:18.384567Z digest=sha256:92880f28f2dd52e4d4deed3983bfb4110239edaf2af06d14c03836facd71ee48

Pith citing papers

Observation c8f5c3bc-9248-4fdf-ba30-c6e0e9884192 · inbound

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender cites this paper.

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:16.684278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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