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Paper Citation Record · LEDGER

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.02903.

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

pith.paper-citation-record.v1
2502.02903 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:45:27.520696Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8922d21b-7095-4788-90fa-2a2762905759 · outbound

This paper cites The city’s hustle and bustle couldn’t dim the spark between them.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization The city’s hustle and bustle couldn’t dim the spark between them

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.744179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.477049Z digest=sha256:89ff6fae3e26453cc525b47a82e979355a0e7028e048c2600e155ab5c9fd7818

Observation 84f27833-77e2-495e-b7e2-c3ada71bb639 · outbound

This paper cites He was eager to have a glass of cold drink.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization He was eager to have a glass of cold drink

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.728822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.481861Z digest=sha256:d742d0f2b17b3e943a9f11813e8c9cdde94c6d2aadb139e11ce4658ff5e2c55f

Observation 2353424a-7a9b-4b53-8023-02ac0164b311 · outbound

This paper cites Their bond was unbreakable, a love that transcended all ob- stacles.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Their bond was unbreakable, a love that transcended all ob- stacles

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.713570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.486967Z digest=sha256:c07ba799949ba326b7d5b459d9c9f541fdc0d5703bb35525a282f7df750cb252

Observation cb2cb4cb-7bdd-440f-abec-7c072d3f361d · outbound

This paper cites Amazon’s main business is online shopping and Apple is a phone maker giant • Positive: Alibaba and Xiaomi are two Chinese corporations.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Amazon’s main business is online shopping and Apple is a phone maker giant • Positive: Alibaba and Xiaomi are two Chinese corporations

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.698592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.491847Z digest=sha256:c67274980f362bd5dd0dd9452d11864faf281ba189d2f05517349c88295063b3

Observation fba07622-66c2-4709-a5cc-2bf305c6f0e5 · outbound

This paper cites They are lifelines for millions of people in the region.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization They are lifelines for millions of people in the region

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.680600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.496993Z digest=sha256:ca3720988b4e7f4038b023fb5ec27fd7f736095ecd2dd4e24c096ad4d29db062

Observation 92494b53-232c-4a16-9d07-6aa6ae8f32c7 · outbound

This paper cites Recently, Alice lent Bob a signifi- cant sum of money.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Recently, Alice lent Bob a signifi- cant sum of money

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.664482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.503035Z digest=sha256:e640d3dd83e16c622d5a500c0db11ec4e6414c9c414673d001f1a22ff94f520d

Observation ab7b045e-daff-47a5-bfac-c53a15fbbecb · outbound

This paper cites John is determined to prove Mike’s innocence and secure his acquittal.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization John is determined to prove Mike’s innocence and secure his acquittal

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.650833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.508274Z digest=sha256:f2ed5015ccc2fb4a9bc7aa8f2b0c4914b1bfd6aec9b09a419f6fb23fea525ae8

Observation e409896d-3edd-48a9-8cd7-8b26de4df992 · outbound

This paper cites Alexander, a seasoned physician, meticulously analyzed patient Sarah’s intri- cate heart condition.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Alexander, a seasoned physician, meticulously analyzed patient Sarah’s intri- cate heart condition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.637582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.512400Z digest=sha256:b6a3e3eee376ae0f24c646885893fac848e6804dc9d132bad76eab355479a6df

Observation a4ef98a0-c50c-4b53-b11f-a463c74392ca · outbound

This paper cites Smith, a dedicated teacher, guided his students, including the bright young minds of Miller and Pristina, towards academic excellence.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Smith, a dedicated teacher, guided his students, including the bright young minds of Miller and Pristina, towards academic excellence

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.623783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.516790Z digest=sha256:6ed54cce8af8c7346d315dada33acb6522e1f49769c8fdce253e7803a726903f

Observation 56b5a0f9-4d29-4f66-81ee-6b74155aaa28 · outbound

This paper cites CHAR_A” / “CHARACTER_B.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization CHAR_A” / “CHARACTER_B

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:45:27.609770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.520696Z digest=sha256:d09a563bd5453a276a2e9b2dcac44da5c3b1e459dee9fc7c8949ed64b01d45e4

Observation d2eb5a16-cf19-4b99-bb35-305619fc7115 · outbound

This paper cites New Alignment Methods for Discriminative Book Summarization.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization New Alignment Methods for Discriminative Book Summarization

Reference 2013

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T10:45:27.593816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T10:45:27.459557Z digest=sha256:f2fa9ebf23e19a7a7990100198a5ac29a51727cd85f79b0336565e7da2129fef

Observation 0154065b-9c8c-4983-ba07-60121c3bb9f1 · outbound

This paper cites On Measuring Social Biases in Sentence Encoders.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization On Measuring Social Biases in Sentence Encoders

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-09T10:45:27.470309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:45:27.470309Z digest=sha256:e6c6e73333daf98cc8d13874c5d1bc7fb44b2b8d42451bb9a4b8c7ccff586750

Observation 6cf1e5e0-995e-475e-93de-3f09464c53a3 · outbound

This paper cites Debiasing Pre-trained Contextualised Embeddings.

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization Debiasing Pre-trained Contextualised Embeddings

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T10:45:27.465102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:45:27.465102Z digest=sha256:3ef11f24a441e4db9cc92edead201328b13fdd9a73d4b270bc543643fa3258a1

Pith citing papers

No inbound Pith citation observations are available.