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Paper Citation Record · LEDGER

IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.20147.

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

pith.paper-citation-record.v1
2403.20147 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:41.975673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:59:54.779574Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ad06d10a-32b0-43eb-a5f2-5075e78bb44b · inbound

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis cites this paper.

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:41.975673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:41.975673Z digest=sha256:d377905626cc0289013dba23d82e3f8e867a9d8bb78090118ca4ac1a32cc286a

Observation 495eeaea-a1db-40cf-9318-d9bb0771aa49 · inbound

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models cites this paper.

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:52.544990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:43:52.544990Z digest=sha256:e8d75cb4ecc8afbfb54c4eb323531130bfe85845012af71e8cc218f7b5266fc5

Observation 74c9592a-b8f5-4c2c-88ce-2d1102a19308 · inbound

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages cites this paper.

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T11:21:57.731422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:21:57.731422Z digest=sha256:5141d2cec614ea9fe1580dc9808c704f9cee38180ce6b3e254309b2349226fc6

Observation 848fdcad-9a1a-4a21-ba89-3193cbdf066e · inbound

Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models cites this paper.

Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:59:54.781917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T09:59:41.667889Z digest=sha256:4394f4c9915c7ab798d3f446a590f044ba53d15555f0be3993a7a7bd5325eaca