Paper Citation Record · LEDGER

Tokenization Matters: Improving Zero-Shot NER for Indic Languages

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.16977.

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

pith.paper-citation-record.v1
2504.16977 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:55:17.570331Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:35:19.928065Z

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 b0f7d0ad-c704-4370-a2a7-e0e125a09789 · inbound

MVTamperBench: Evaluating Robustness of Vision-Language Models cites this paper.

MVTamperBench: Evaluating Robustness of Vision-Language Models Tokenization Matters: Improving Zero-Shot NER for Indic Languages

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:55:17.570331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2fa618-4552-4e31-8336-e1f9e5468b8e · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Tokenization Matters: Improving Zero-Shot NER for Indic Languages

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:29.703994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb67cc13-93c6-4c67-9743-6163cda58732 · inbound

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems cites this paper.

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems Tokenization Matters: Improving Zero-Shot NER for Indic Languages

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:13.135559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c10cc0-8486-461f-be9a-0afc31687822 · inbound

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation cites this paper.

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation Tokenization Matters: Improving Zero-Shot NER for Indic Languages

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:35:20.018282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.