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Paper Citation Record · LEDGER

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.03814.

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

pith.paper-citation-record.v1
1911.03814 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:59:58.215183Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fe9a946-cf1d-4da2-bd2b-b9f26a82c3f9 · inbound

Inductive Entity Representations from Text via Link Prediction cites this paper.

Inductive Entity Representations from Text via Link Prediction Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-24T14:34:34.772278Z

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=pdf_text observed=2026-05-24T14:33:19.150253Z digest=sha256:ae38a15f73c43184dd3ebe63f6869662517113991c8a459efcaa4551bf9181f4

Observation 3550a42b-078d-4ebc-a7f1-f105d28ae62c · inbound

A Method for Multi-Hop Question Answering on Persian Knowledge Graph cites this paper.

A Method for Multi-Hop Question Answering on Persian Knowledge Graph Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:58.215183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:58.215183Z digest=sha256:70c4dd8beeb6ee7ead03b84410ae48eb7064ff57b88c955114702fb5f16e5fd4

Observation 7a83e1dd-997e-40d5-ae60-5df97d766890 · inbound

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information cites this paper.

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:25:56.172369Z

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=pdf_text observed=2026-05-22T02:25:01.761434Z digest=sha256:f9a5c26d55b7f5ff2795acb49b93b91f618f4c7ec212b2956de8681f3d99dab1

Observation c87410ee-1744-4d51-b2fe-317659620243 · inbound

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms cites this paper.

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:23:44.114880Z

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=pdf_text observed=2026-05-17T00:22:25.811298Z digest=sha256:518ed85a3a1198b6deab9f6e22eec44668dcc0911562422003a05085040f8404

Observation e306b91d-a414-41ec-9cdc-02e456451369 · inbound

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation cites this paper.

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:03:41.218873Z

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=pdf_text observed=2026-06-29T16:56:21.101826Z digest=sha256:e70866f09c17bbf7896a2ea8a250ca59e0737f3ee5390aa67381678668090ad0