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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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=sha256:207198b270ba2d303ab0eb659804a218e7939e39e31ef0f175084f92227d1fe6

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:d4eb4c8bef21b59b23389a0dca51ff9e324028dd0e39414bc9f42a4449fd93b9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.196032Z digest=sha256:9899320e77b92a4bdd3e1b30150631ee82c461472bad43bf126db54ccddda4b3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.201090Z digest=sha256:e7bcb69a93531a97f6683f33bd86cd25a9c587a4d81efa7a17fcc37ad9f1d75c

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=sha256:8fa2f5d80c5713794a9f0fb4947e5077a213245fbb5d64d73a8f79c8c0f42dfc

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:e4647fc466988979b739224af191dc046569be82dccbc73545f82d155785db7e

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=sha256:52b09a4a28bfcfa632b2f57d98bab2caeb252fbed971e3895ddcab5052386a94

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=sha256:9f4c2f56b5f1cd7750e1e900e9e27af0e657c68f62635a1086a09848404e3911

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.224762Z digest=sha256:7350e07ac34c1fcf23dcd3257a63f8d9f6ea9830be0eab6590b05ebc1d6081f4

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.229042Z digest=sha256:9f8773af2c0d28fbb5210d0cf5fe845433a4cfdc4a88d15d7755cbf20b8825cd

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=sha256:40a0f4c6e4e68ef052b525fa403b33de6aec0ad0d9f99b3ecdd9c7fa16e6b8ae

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=sha256:4eb10292ec3fe0d5d711fc3013b40c3890caabfaedcb64d7d9f1f575eda1d447

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.243433Z digest=sha256:f39ea56b2dacded61cbdb4128a3bb9d536446276619c3b2fa63df5225adb64fa

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=sha256:7319e84e437562d0c4d9953bac5a6cf17729692e29e0f59694336df5332d5024

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=sha256:4b2208d4cb9db648e5e264d4647220d86637c09da1bf7cac48a1f36e462bd9c3

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:c92c18860ca8f72065d88cb2d2bb1fdd2c2b9b593cd8a2d7986f317e761b9a99

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.262536Z digest=sha256:54b4290d88aaab6cb8f11074c3a886e2ad795633f3631c5a715663925b716a17

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.267098Z digest=sha256:18dd586cf8c72e1e248cbd74ab900980627335b2454beccdab9fbb4401f614b0

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=sha256:40f3647d00b1e8a51cf5f6327b5e2664b23cc84a2e41adeb08eb9fd39902cc83

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.276389Z digest=sha256:fb24afd0acef849ed9a68ed28042a11e85b5a6900318bf63d2fcb307340c05a5

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=sha256:82c898429bb2cd3f3917e75c65f34c2318677ae241e2a5f4b0c8ae27a9aa49c6

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=sha256:9729765da1f26cf1688240f04292028f8c96b58eadcb559d0a77dec8dfd12a46

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.288991Z digest=sha256:571e85156fc99a83e40f492f74207fafc4bb7f511571d22a427dcb42e69444ba

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.293153Z digest=sha256:d8c15d9300d3581b7307a85e1697ac134c97442d7cc9e17602c58f4511dfb65b

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=sha256:1bd04498130227c706ecc3c4fd8668b542cdaa6b680384ac1f21bb5381a03fd9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.301765Z digest=sha256:2c078946658e23fd83de3a9bbd8514d5516f8675b3653255c2ffea9d9d8a9817

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:fa3d428d9987f8cc282b982bf82480997d861a62fb22c6b510c5792c1b3edd34

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=sha256:299a8f9e4a1a55358dbeef82c5c1b1533e0960be7833b15779349f80662e1530

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:a8599b6e35b1f932277ea9e6ac668d720afbf73c634938d3c90cb4f5334489ab

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:e1c7130ac25a8b43f57753490a6509d518971d73340d71b996fbbf7be6ddd81e

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=sha256:5e146c45633d06a6e4cdb682095b7a071619f22d5182c099ad377b15e76441a4

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T19:29:18.328130Z digest=sha256:666924bf28836808ac94864da4de3d37e7c5847847ef29a1558c1fd34604c202

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=sha256:9eeb9d71ad4487135ff97e92141ac8fcff07a22933c865776b976404beae63d8

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=sha256:1f6dd2f512800e993f5612fe5122e37f496c18d0e4904fed5c3ec7ab557b2571

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:ae001117da4c811e2f5e804b51b0ef9cacc10f60d6b4875bd1d5926ef3f0bbb5

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:f9a2aacaa690f66acca3734253e2d07826e7b9efa2c2bd0242223c67de02eff5

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:b4e686459f5749fe1275e930a638bf9805467b67b9075a145005017b070e7cb5

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
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-11T06:34:44.6726+00:00.

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